By providing an email address. I agree to the Terms of Use and acknowledge that I have read the Privacy Policy .

1 in 3 Filipino students bullied in school – Pisa study

Sherwin Gatchalian —SENATE SOCIAL MEDIA UNIT

Sen. Sherwin Gatchalian (File photo from the Senate Public Relations and Information Bureau)

MANILA, Philippines — The Department of Education (DepEd) assured the public on Saturday that it was implementing programs to address bullying in schools after the 2022 Programme for International Student Assessment (Pisa) study revealed that one in every three Filipino students had experienced being bullied at least once a week.

According to the Pisa study published on Dec. 5, the incidence of bullying in Philippine schools went down between 2018 and 2022. The country first took part in the large-scale international assessment of the academic performance of 15-year-old students in mathematics, science, and reading in 2018.

But Education Undersecretary Gina Gonong said in a forum on the Pisa results organized by DepEd last week that bullying “remained a pervasive problem, more so among boys and those in public schools.” It also affected their academic performance as the study said that those who were bullied at least a few times a month scored 11 to 44 points lower in mathematics.

According to the 2022 Pisa results, 28 percent of the 7,193 Filipino students from 188 schools who took part in the assessment reported that others had “made fun” of them while 19 percent said they were threatened by other students.

Some reported being the subject of “nasty rumors” while others got hit or pushed by other students. There were also those who complained that their things were taken away or destroyed while some said they were “left out of things on purpose.”

To address the problem, DepEd said that antibullying programs were being implemented by its Learner Rights Protection Office (LRPO), which operates the “telesafe” hotline and child protection desks, and the Bureau of Learners Support Services (BLSS), which has various mental health initiatives and counseling projects.

“The BLSS primarily gears more toward bullying prevention and creating a climate of safety in schools [through mental health and counseling on top of capacity building for teaching and nonteaching staff]. On the other hand, the LRPO mainly comes in to address abuse and bullying cases directly [through legal means],” it told reporters through a Viber message.

Other DepEd programs include the creation of a mental health unit in the department that is expected to become operational next year and the ongoing hiring of “mental health coordinators” for every region.

Other programs, measures

A DepEd order specifically tackling mental health will also be released early next year after undergoing vetting as the agency works on creating mental health and anti-bullying content with the National Council for Children’s Television, in collaboration with independent directors.

In partnership with Natasha Goulbourn Foundation, DepEd has likewise launched a capacity-building program for teachers and nonteaching staff to help them “spot red flags” among students who might be being bullied.

In addition, the department has been at the forefront of pushing for the passage of Sen. Sherwin Gatchalian’s Senate Bill No. 2200, or the proposed Education Mental Health and Well-Being Promotion Act, by serving as the primary technical working group for the measure.

“We pushed for the increase in the Salary Grade (SG) of guidance counselors (SG 11 to SG 16) and the creation of a new plantilla position category called mental health associates (nurses, social workers, and psychometricians) to fill the personnel gap,” DepEd said.

Under SB 2200, all guidance counselors and psychologists I to III will be converted to mental health specialists with their monthly pay adjusted to SG 16 (P39,672), SG 18 (46,725), and SG 20 (P57,347).

Gatchalian, the chair of the Senate committee on basic education, said DepEd should work for “stronger interventions” to ensure the safety and welfare of students as “bullying contributes to the victims’ low self-esteem, lack of confidence and difficulty in focusing on their studies.”

“Bullying can also affect [their] emotional state that could result in a lower interest in studying,” he added, citing the Pisa study which showed the Philippines ranked sixth to last in reading and mathematics, and third to last in science among 81 countries.

‘Cyberviolence’

While Gatchalian expressed optimism about the passage of his bill, he said the effective enforcement of Republic Act No. 10627 or the Anti-Bullying Act of 2013 could help protect learners in the meantime.

RA 10627 was enacted on Sept. 2, 2013, to protect students from bullying and other forms of violence but Gatchalian said the law requires a comprehensive analysis and gap review.

Pwersa ng Bayanihang Atleta party-list Rep. Margarita Nograles also filed a similar bill in 2022—House Bill No. 2886 which penalizes people of legal age proven to have been bullying others in school, at work or even on the internet.

Subscribe to our daily newsletter

“According to the Unicef, the latest data in the country shows that cyberviolence affects almost half of children aged 13 to 17. This violence experienced by Filipino children are in the form of verbal abuse and most of these are in the form of sexual messages … that can create long-lasting emotional and psychological scars in every child,” Nograles said in her explanatory note.

—WITH REPORTS FROM MELVIN GASCON AND INQUIRER RESEARCH

News that matters

Disclaimer: Comments do not represent the views of INQUIRER.net. We reserve the right to exclude comments which are inconsistent with our editorial standards. FULL DISCLAIMER

© copyright 1997-2024 inquirer.net | all rights reserved.

We use cookies to ensure you get the best experience on our website. By continuing, you are agreeing to our use of cookies. To find out more, please click this link.

  • Open access
  • Published: 04 July 2022

Bullying and other risk factors related to adolescent suicidal behaviours in the Philippines: a look into the 2011 GSHS Survey

  • Hsuan Chiu 1 &
  • Elisabeth Julie Vargo 2  

BMC Psychiatry volume  22 , Article number:  445 ( 2022 ) Cite this article

29k Accesses

5 Citations

3 Altmetric

Metrics details

Backgrounds

The present study retrospectively examined gender differences in bullying and suicidal behaviour (ideation, plan, and attempts) as well as associations between selected risk factors and suicidal behaviour among secondary school Filipino students.

The study used a secondary data set from the GSHS developed by the World Health Organization, which was conducted in the Philippines in 2011. Participants included 5290 Filipino students (male N  = 2279, female N  = 2986). A two-tailed Chi-square of independence was used to test for gender differences and a multivariate logistic regression model explored statistical associations between risk factors and outcome variables.

Chi-square results suggested that gender differences were statistically significant for being bullied χ2 (1, N  = 2384) = 10.6, p  = .001, experiencing suicidal ideation χ2 (1, N  = 857) = 61.7, p  = .000, making suicide plans χ2 (1, N  = 590) = 10.2, p  = .001, and suicide attempts χ2 (1, N  = 674) = 8.4, p  = .004, with females showing higher vulnerability to examined risk factors. The logistic regression model also suggested that adolescents claiming to have no close friends were three to four times more likely to attempt suicide. Other strong predictors of suicidal behaviours were loneliness and getting in trouble due to alcohol consumption.

Conclusions

Bullying is an independent yet, not the strongest predictor associated with adolescents’ suicidal behaviour in the present study. The strongest predictors of Filipino adolescents’ suicidal behaviours in the 2011 cohort included having no close friends, loneliness, anxiety and getting in trouble due to alcohol use among both genders. Peer and mental health support programmes need to be made available and accessible for adolescents in the Philippines. Considering the increase in suicide rates in 2020/2021 among Filipino young adults due to the Coronavirus pandemic, it is suggested that preventing suicidal vulnerability in adolescence can hinder this occurrence later on in the lifetime.

Peer Review reports

Bullying is a prevalent phenomenon among adolescents globally, resulting in physical and mental health concerns and potentially leading to suicide. The impacts of bullying affect individuals in various aspects, including psychologically and behaviourally [ 1 ]. The American Psychological Association (APA) [ 2 ] defines bullying as a form of deliberate aggressive behaviours that incur harm or inconvenience upon another individual. Bullying generally involves imbalanced power: physical or social control allows a bully to repeatedly victimise a less powerful person and the bullied individual typically has trouble defending him or herself [ 2 ]. The aggressive behaviour can be further categorised as physical (e.g., hitting, kicking, or pushing), verbal (name-calling or mocking), social or relational (social exclusion, rumour spreading) [ 3 , 4 ]. It has been evidenced [ 5 ] that bullying evolves around late primary school age and peaks at middle school age.

A recent study [ 6 ] conducted in Indonesia using a data set from the 2015 GSHS Survey, found that among 9969 adolescents, 19.9% reported being victims of bullying. Another study conducted in Nigeria [ 7 ] found higher bullying rates compared to the US amongst 600 students: 28% reported experiencing bullying while 42% reported bullying others. According to Programmes for International Students Assessment [ 8 ], the average percentage of students who reported being bullied globally was 23% among all PISA participating countries. However, the Western Pacific region reported a higher prevalence of bullying, particularly the Philippines (64.9%) and Indonesia (49.1%). Moreover, Sanapo [ 9 ] also found that in Western Visayas (a city in the Philippines), approximately 40% of 340 students reported being bullying by their peers.

Different types of bullying are found to be associated with different impacts. A study [ 10 ] identified that victims of bullying are prone to internalise problems, suggesting that victims are at a higher risk of experiencing depressive symptoms, anxiety, or loneliness [ 11 , 12 ]. In contrast, bullies are prone to externalise problems which include being physically aggressive, consume alcohol, abuse substances, and being truant [ 13 , 14 ]. Cross country studies conducted in China [ 15 ], Turkey [ 16 ] and Spain [ 17 ] demonstrated that both bullying victims and perpetrators had weaker psychological adjustment and greater emotional and behaviour problems.

In addition to this, gender is also found to be associated with different types of bullying. Research [ 18 , 19 ] showed that boys are more likely to report being a victim of physical bullying, whereas female students reported encountering more psychological or relational bullying, such as name-calling, rumour spreading and being intentionally socially isolated. However, other research found that there is no difference between the types of bullying between genders [ 20 ]. This disparity of gender differences in bullying could be explained by cultural, social, and individual differences in how gender and bullying are regarded, which may influence how participants respond [ 20 ].

In literature, social support such as parental and peer support are both identified as risk and protective factors. Studies conducted in Europe [ 10 ], Australia [ 21 ] and China [ 22 ] have confirmed the importance of social support, demonstrating that positive parental support and peer support reduce the likelihood of suicidality among adolescents. In contrast, a lack of social support increases loneliness and depressive symptoms [ 23 ] resulting in suicidal behaviour. A positive parent–child relationship and parenting style are among the most important known protective factors against adolescent suicidal behaviour. Shaheen et al., [ 24 ] identified supportive parenting and family environment as reducing adolescent anxiety levels. By contrast, limits to family cohesion and family connectedness predicated a higher possibility of adolescent mental health issues and suicidal behaviour. Xiao et al., [ 25 ] found that among 6063 Chinese adolescents, victims of bullying benefited from perceived social support. This includes positive parental and peer support, which mitigated against internalising distress. Contrary to the positive outcomes of parental support, controlling parents may put children at higher risk of mental distress and suicidal behaviour. For instance, Goschin et al., [ 26 ] conducted a systematic review focusing on the impact of parental control and neglect, the study revealed that controlling parents and parental neglect increased mental health distress, hence the potential for suicidal behaviour [ 26 ].

The connection between alcohol consumption and suicidal behaviour has also been identified in literature. For example, Sellers et al., [ 27 ] found that adolescents who consumed substances such as alcohol or drugs have a higher risk in thinking about or attempting suicide. Peleg-Oren [ 28 ] conducted a study in the United States, analysing data of 44, 532 middle school students which revealed a high prevalence of bullying (59%) and that 21% of the students involved in bullying were more likely to use alcohol than those who were not involved (13%). As adolescents are at a critical stage of physical, psychological, and neurobiological development, exposure to alcohol use increases the possibility of drunkenness [ 29 ], being physically aggressive, fatal death and suicidality [ 30 ].

The association between risk factors and suicidal behaviour in adolescence

Suicide is defined as a conscious and deliberate self-injurious action with intention to cause one’s death; it can be preceded by ideation (thinking about killing oneself) making a suicide plan and suicide attempt (both non-fatal and fatal) [ 31 ]. Suicidal ideation and planning are significant precursors to suicide attempts, suggesting that suicidal ideation precedes a suicide plan, the plan precedes attempts and suicide attempts result in fatal or non-fatal suicide [ 32 ]. Although suicide can happen throughout one’s life, adolescence is critical, as nearly 6% of adolescents pass away because of suicide [ 33 ]. According to the World Health Organization [ 34 ], one-third of incidences of suicide occur among adolescents in low-middle income countries, rendering this phenomenon particularly critical in certain global regions.

Overall, regions with high-income status (e.g., Europe and North America) report a higher prevalence of suicide rates compared to low or low-medium income regions (e.g., Africa and the Western-Pacific region) [ 34 ]. According to the global statistics concerning deaths by suicide in 2019 [ 35 ], Greenland ranked the highest (53.34 per 100,000 individual), followed by Ukraine (26.34 per 100,000 individual) and Russia (22.77 per 100,000 individual). North African countries such as Egypt, Algeria, Libya (3.55, 3.61 and 4.59 per 100,000 individual) and the Philippines (4.28 per 100,000 individual) ranked the lowest in global statistics [ 35 ]. However, one recent study [ 36 ] conducted in five South-East Asian Countries (ASEAN), including Indonesia, Laos, Philippines, Thailand, and Timor-Leste found that the Philippines had relatively higher rates of suicidal ideation (11.0%) and suicide plans (10.6%) compared to other participating countries such as Indonesia (5.2%, 5.5%) and Laos (2.9%, 4.3%). Additionally, the Philippines reported an increasing rate of suicide attempts from 12.8% in 2011 to 16.2% in 2015, ranking the highest versus other countries such as Indonesia (3.9%), Laos (1%) and Thailand (13.0%) [ 36 ].

One possible explanation is that high-income regions generally have access to standardised youth risk behaviour surveillance such as Health Behaviour in School-aged Children (HSBC) and well-developed education systems that are more acceptable to individuals with mental health concerns and suicidal behaviour. Whereas in low-medium income areas such as the Philippines and Indonesia, suicide is considered a taboo, where the vast majority of the population do not or are less likely to talk about or accept such behaviour [ 37 ]. Additionally, both school-based or community-based mental health services may be relatively poorly resourced in low-middle income countries [ 38 , 39 ] and provide inadequate support and tracking systems, hence, global data may be underreported.

The causes of suicide are complex. One study [ 40 ] conducted in a clinical setting identified that suicidal behaviour is a result of the interplay between several biological (e.g., gender and age), social-environmental (e.g., family abuse, sexual abuse, bullying) or psychological (e.g., depression, anxiety, or loneliness) factors. Biological determinants such as gender and age were found to be associated with suicidal behaviour [ 41 , 42 , 43 ]. Adolescents of older age groups (ages between 15 -19) are at a higher risk of exhibiting suicidal behaviour [ 44 ]. Whilst the fundamental determinants for adolescent suicidal behaviour vary and remain unclear, research has drawn attention to risk behaviour, mental health concerns, social and interpersonal factors as well as a lack of parental support [ 45 ].

Gender is believed to be a primary factor affecting mental health and suicide amongst adolescents. In one systematic review [ 42 ] with sixty-seven studies, it was revealed that females (aged between 12 – 26) were at a threefold higher risk of experiencing suicide attempts compared to male adolescents, whereas males were at a twofold higher risk than females of dying from suicide. However, Tang et al., [ 46 ] conducted a cross-country, population-based study in 83 countries using the Global school-based Health Survey demonstrating that bullying among adolescents is significantly associated with suicidal behaviour (including ideation, creating suicide plans and suicide attempts) across countries, gender and WHO regions. Moreover, Klomeck et al., [ 47 ] also conducted a review with a cross-sectional design that suggested a direct correlation between bullying and suicidal behaviour, specifically among bullying victims and bullies, in which both exhibited higher risks of suicidal ideation and suicidal attempts. However, little is known of the association between gender differences, bullying and suicidal behaviour.

In the Philippines, the prevalence of bullying is higher than in other South-East Asian countries [ 48 ], as approximately 47.7% of the students reported being bullied. Whilst previous studies examining bullying and suicidal behaviour carried out in the Philippines mainly focused on the prevalence, the correlation between psychosocial risk factors and suicidal behaviour, little research has investigated other sources of risk and protective factors. Moreover, it is relevant to explore suicidal behaviour risk factors in light of the growing suicide rates of the Philippines. The present study employed the Philippines Global School-based Health Survey conducted in 2011 to examine gender differences concerning bullying, suicidal behaviour, as well as the risk factors associated with suicidal behaviour among adolescents. In particular, this study aimed to address the following questions: (1) Does bullying predict suicidal behaviour among adolescents living in the Philippines? (2) Does gender predict bullying and suicidal behaviour and (3) Are there gender differences in risk factors associated with suicidal behaviour among adolescents living in the Philippines?

Methodology

Study design and operational variables.

This study utilised a quantitative design, involving secondary analysis of existing data from the Philippines Global-School Based Health Survey (GSHS) conducted in 2011. The GSHS is a school-based survey that is widely used across countries including low and low-medium income areas. This survey was developed by the WHO, in collaboration with United Nations Children’s Fund (UNICEF), The United Nations Educational Scientific and Cultural Organization (UNESCO) and the United Nations Joint Programme on HIV/AIDS UNAIDS. The GSHS aims to provide data on adolescents’ physical and mental health, social behaviour and advocates developing resources for school health programmes and policies [ 49 ].

The primary independent variables assessed were gender and being bullied. The original question in the survey was QN20 “During the past 12 months, on how many days were you bullied?” Answers ranged from 0 days, 1 or 2 days, 3 to 5 days, 6 to 9 days, 10 to 19 days, 20 to 29 days, and all 30 days. The answers were adapted to dichotomous responses, yes and no, with yes representing any responses other than 0 days. Other variables included being physically attacked (QN15), getting in fights (QN16), loneliness (QN22), anxiety (QN23), no close friends (QN27), having kind and helpful peers (QN32), alcohol consumption (QN35), getting in troubles due to alcohol use (QN39), truancy (QN53), having understanding parents (QN56) and parental control (QN57).

Outcome variables in this study were suicidal ideation (QN24), suicide plans (QN25) and suicide attempts (QN26). Students were asked “During the past 12 months, did you seriously consider attempting suicide?”, “During the past 12 months, did you make a plan about how you would attempt suicide?” and “During the past 12 months, how many times did you actually attempt suicide?” Responses were recorded dichotomously as yes and no.

The 2011 Philippines GSHS survey was conducted at a national level, which comprised a total number of 5290 students. A two-step cluster sampling approach was utilised. In the first step, schools were selected with probability proportional to their enrolment size; next, classes were randomly chosen within the selected schools, and students in the class were eligible to participate in the survey [ 50 ].

Definitions of bullying, along with all the other risk factors included in the current study were provided in the introduction of each module of the questionnaire. Bullying was described in the following manner: “ Bullying occurs when a student or groups of students say or do bad and unpleasant things to another student. It is also bullying when a student is teased a lot in an unpleasant way or when a student is left out of things on purpose. It is not bullying when two students of about the same strength or power argue or fight or when teasing is done in a friendly and fun way. ” [ 51 ] .The questionnaire was pilot tested on student populations with analogous characteristics of the target population, to ensure the correct understanding of the questionnaire.

The survey was conducted in the schools where students self-administered their responses to each question on a computer scannable answer sheet. Both public schools and private schools were included. According to the Senate of the Philippines [ 52 ], the enrolment rates of secondary school in the Philippines in 2011 were at 60% of the entire adolescent population. Despite that the enrolment rate was relatively low in 2011, the school response rate in the study was 97%, the student response rate was 84%, and the general response rate was 82%.

Data analysis

Data analysis was performed using SPSS software version 26. A two-tailed Chi square test of independence χ2 was carried out to measure whether gender differences and being bullied independently predicted suicidal behaviour. Three multivariate logistic regression models were employed to measure statistical association between selected risk factors including being bullied, physical abuse, mental health, parental and peer support and forms of aggression, with suicidal behaviours (ideation, plan and attempt) as dependent variables. The significance threshold was set at p <0.05.

Demographic information, prevalence of selected risk factors

Table 1 . shows percentages of participants’ demographic information and selected risk factors. Of the total 5290 secondary students, age range varied from 11 years old or younger to 16 years old or older (M=14.5, SD=1.196). The number of students aged between 11 – 13 years old was 1205 (22.8%), and students aged between 14-16 years old were 4044 (76.5%). Female students ( n = 2986) were 56.4% of the entire sample, male students ( n = 2279) were 43.1%. Additionally, 47.9% of the students reported being bullied ( n =2397), 16.6% reported having had suicidal ideation ( n =863), 11.5% reported having had made a suicide plan ( n =592) and 12.9% attempted suicide ( n =678).

Bullying, suicidal behaviour and gender differences

A two-tailed Chi-square of independence analysis was performed to determine differences in bullying and suicidal behaviour. Results indicated a significant difference of small effect between being bullied and suicidal ideation χ2 (1, N =491) = 69.2, p =.000, phi=.119, making a suicide plan χ2 (1, N =318) = 27.2, p =.000, phi=.075 and attempting suicide χ2 (1, N =408) = 85.2, p =.000, phi=.131. Gender differences in bullying and suicidal behaviour were also tested. The results identified a significant difference of small effect in gender differences and bullying χ2 (1, N = 2384) = 10.6, p =.001, phi=.046 gender differences and suicidal ideation χ2 (1, N =857) = 61.7, p =.000, phi=.109, a suicide plan χ2 (1, N =590) = 10.2, p =.001, phi=.045 as well as suicide attempts χ2 (1, N = 674) = 8.4, p =.004, phi=.040. In all analyses, females showed an increased risk compared to their male counterparts.

Association between identified risk factors and suicidal behaviour

Table 2 and Table 3 respectively represent the logistic regressions of female and male students who reported being bullied, the 11 selected predictors and suicidal behaviours (including ideation, suicide plan and attempts). Both female and male students who reported experiencing bullying were at a higher risk of having suicidal ideation and attempting suicide. Male students who were bullied were at 1.5 times higher risk of thinking about suicide (OR = 1.46; 95% CI [1.07, 1.98], p =.016) and 1. 9 times higher risk of attempting suicide (OR = 1.85; 95% CI [1.30, 2.63], p =.001) compared to their counterparts reporting not being bullied. Female students who reported being bullied had a 1.5 times higher chance of having suicidal ideation (OR = 1.54; 95% CI [1.24, 1.92], p =.000) and 1.6 times higher in attempting suicide (OR = 1.57; 95% CI [1.21, 2.07], p =0.001).

Suicidal ideation

The overall model of pupils of both genders and suicide ideation was statistically significant compared to the null model, female students (χ2 (12) =260.461, p =.000), explained the variance of 15.3% and male students (χ2 (12) = 85.407, p =.000) explained 0.9% of pupils thinking about suicide, and correctly predicted overall 81.1% of cases for female students and 88.8% of male students, respectively. Among the 11 identified predictors, the strongest predictor associated with suicidal ideation among male students included loneliness and being physically attacked. Male students who felt lonely were 2.5 times higher likely to experience suicidal thoughts (OR= 2.49; 95% CI [1.70, 3.65], p =.000) and those reported being physically attacked were 1.4 times more vulnerable to suicidal ideation (OR=1.46; 95% CI [1.06, 2.00], p =.017). Female students who felt lonely and consumed alcohol were significantly associated with suicidal ideation. Female students who felt lonely were 2.4 times more vulnerable to suicidal ideation (OR=2.39; 95% CI [1.86, 3.06], p =.000), and those who reported consuming alcohol were at 2.3 times higher risk of thinking about suicide (OR=2.26; 95% CI [1.73, 2.95], p =.000). As evidenced in Table 2 , selected variables impacted female suicidal ideation overall more significantly than male suicidal ideation.

Suicide plan

The overall model of female and male students was statistically significant compared to the null model, female students (χ2 (12) = 151.750, p =.000) and male students (χ2 (12) = 68.678, p =.000), explained that 11% and 8.7% of pupils making a suicide plan and correctly predicted overall percentage of 88% of cases for female students and 92% of male students, respectively. The strongest predictor associated with making a suicide plan comprised a common predictor among both genders: having no close friends. Male students who reported having no close friends were 3 times higher in making a suicide plan (OR=3.01; 95% CI [1.53, 5.91], p =.001), female students were 4.4 times higher (OR=4.43; 95% CI [1.38, 2.58], p =.000). Male students who felt lonely were 1.9 times higher in planning suicide (OR=1.92; 95% CI [1.22, 3.02], p =.005). Female students who reported getting in troubles due to alcohol consumption were 2.3 times likelier to plan suicide (OR=2.33; 95% CI [1.54, 3.53], p =.000). Alcohol consumption and loneliness were also strong predictors of female suicide planning.

Suicide attempts

The overall model of pupils of both genders attempted suicide was statistically significant compared to the null model, female students (χ2 (12) = 185.852, p =.000), explained the variance of 12.6% and male students (χ2 (12) = 138.864, p =.000) with 15.8% of pupils attempting suicide and correctly predicted overall percentage of 86.8% of cases for female students and 91.2% of male students, respectively. The strongest predictors of male adolescents’ suicide attempts included having no close friends, and anxiety; predictors associated with suicide attempts among female students were having no close friends and alcohol consumption. Male students who reported having no close friends were 2.7 times likelier to attempt suicide (OR=2.71; 95% CI [1.41, 5.21], p =.003), female students with no close friends had 4 times higher (OR=4.1; 95% CI [2.42, 7.08], p =.000) probability to attempt suicide. Male students who reported having anxiety had a 2.6 times higher risk of suicide attempt (OR=2.63; 95% CI [1.69, 4.08], p =.000) and female students who consumed alcohol had 1.9 times higher possibility of attempting suicide (OR=1.90; 95% CI [1.41, 2.57], p =.000).

The primary purpose of this study was to examine the association between gender differences in bullying and suicidal behaviour, as well as examine the association between gender differences in the selected risk factors associated with suicidal behaviour among secondary school adolescents in the Philippines in 2011. The overall prevalence of adolescents being bullied was 47.9%; female students who reported being bullied were 49.8%, male students who were exposed to bullying were 45.2%. Overall prevalence of adolescents who responded to having suicidal ideation was 16.6%, making a suicide plan 11.5% and attempted suicide at least once was 12.8%.

The study suggests that Filipino adolescents were vulnerable to thinking about and attempting suicide, and gender played a role in such behaviour in 2011. Male students exhibited more vulnerability to suicide attempts and less vulnerability to thinking about or planning suicide, as expected. Previous literature [ 53 ] provides a possible explanation whereas males tend to behave more impulsively in terms of attempting suicide.

As predicted, bullying is an independent predictor linked to adolescents’ suicidal ideation and suicide attempts in both genders. Partially consistent with previous literature, bullying was a significant predictor of suicidal behaviour in the Filipino cohort yet was not as strong as loneliness and the lack of social network. Risk variables related to loneliness and lack of a social network appeared to be stronger indicators of suicidal behaviours. A possible explanation is that individuals who were victims of bullying were progressively ostracised, leading to lower social competencies and lower self-esteem. Hence, bullying victims are more likely to be continuously bullied and socially excluded from friendship, class, or school community, with no or limited support from peers [ 54 ].

Potentially, bullying victims who are constantly bullied and isolated are more likely to undergo loneliness, mental health issues and ultimately result in suicidal behaviours. Peers who witness individuals exposed to bullying are less likely to stand out and intervene, despite understanding that bullying is wrong, as acceptance and security within the peer community are very important for adolescents [ 55 ]. Moreover, those who stand out for victims of bullying might also become targets themselves, increasing the possibility of being isolated from their original friend groups or the school community [ 56 ]. This may result in the same or similar situation as the bullying victims, who will also be disliked or rejected by their peers.

In support to this interpretation, one strong risk factor connected to adolescents’ suicidal behaviour was having no close friends. In the present study, male students were 2.7 times more likely and female students were 4.1 times more likely to attempt suicide when they claimed to have no close friends. This finding is partially consistent with the study conducted by Bearman and Moody [ 57 ] who found that among 13456 American adolescents, female students who were intentionally excluded from the class, friendship, or having friendship issues were more vulnerable to suicide, whereas male students were less likely to be affected by their social surroundings. Nevertheless, having no close friends may lead to more distressed feelings of loneliness and isolation [ 57 ].

The occurrence of loneliness and anxiety respectively, significantly predicted adolescents’ suicidal behaviour. This finding is in support with previous studies [ 58 , 59 , 60 ]. Pupils who reported feeling lonely and anxious were two to three times more likely to experience suicidal behaviours. The transition from childhood to adolescence usually is accompanied by physical, social, and psychological changes. The challenges that individuals encounter also contribute to the possibility of experiencing psychological distress ultimately resulting in possible suicidal behaviour [ 33 , 61 , 62 ].

Alcohol consumption in the present study was found to associate with suicidal behaviour of female students. This finding is partially in line with Page et al., [ 63 ] who analysed data drawn from the 2008 GSHS in four countries (the Philippines, China, Chile, and Namibia) comprising 30,851 adolescents. Results from this study suggested that both female and male adolescents who had experienced psychosocial distress such as loneliness, anxiety, worry and make a suicide plan were more likely to engage in substance use such as alcohol. Individuals tend to use substances such as alcohol as a coping mechanism to alleviate negative feelings and psychological distress [ 55 ]. In another study [ 64 ] it has been evidenced that female adolescents in South-East Asian countries, including the Philippines, who consumed alcohol may come from poor family backgrounds, have poor life satisfaction and use other drugs such as tobacco and illicit drugs. This is in support with literature [ 65 , 66 , 67 ], which describes the relationship between alcohol consumption, quality of life and mental health conditions as intertwined and often compounding. Unlike Page et al., [ 63 ], male students in the present study were not likely to engage in suicidal plans and attempts due to alcohol use.

Similar to alcohol consumption, getting in trouble due to alcohol use was significantly associated with suicidal behaviour of females but only suicide attempts of males. Alcohol misuse usually is associated with immediate and long-lasting threats to adolescents’ development, including dependency and addiction [ 68 ], as well as co-occurrence of aggressive behaviour (e.g., fighting) [ 60 ], intentional and unintentional injuries [ 61 ], homicides and suicides [ 60 ]. Consuming alcohol may reduce inhibition, increase impulsivity [ 69 ] and risk-taking behaviours [ 70 ]. With little education provided to adolescents regarding the impacts of alcohol use on physical and mental health and limited restrictions on adolescents’ alcohol consumption implemented in the country [ 71 , 72 ], misuse and related misconduct are likelier and can lead to increased mental health concerns and suicidal behaviour.

Truancy is also found to be associated with suicidal ideation and suicide attempts among female students in the present cohort. The reasons for adolescents being truant varies from the individual to the national level. A report conducted in 2008, 2014 and 2017 in the Philippines evidenced the primary reasons for secondary school disengagement in school life. These were lack of personal interest, high cost of education, employment and other reasons (e.g., marriage, housekeeping or school records) [ 73 ]. The report further illustrated gender differences in truancy: male students generally left school because of the lack of personal interest in schooling, whereas female students left school due to the high cost of education, for employment and marital commitments. Whilst reasons vary, being away from school is not only an indicator of weakened social bonds, but can also lead to adolescents living in unstructured and unprotected environments, exposing them to risky and harmful behaviours [ 74 , 75 , 76 ].

Parental control was identified as a risk factor for suicidal ideation among both genders. Moreover, having understanding parents was associated with suicidal ideation and suicide attempts among female students, evidencing its lack of efficacy in protecting females from these behaviours. The quality of the parent-relationship has been identified as both a possible protective and risk factor in adolescents in both clinical and community samples. It has been evidenced that family cohesion and connectedness can have a positive impact on the parent-child relationships across countries [ 77 ] and reduce suicidal behaviour [ 78 ]. On the other, large sampling designs [ 79 , 80 ] however, have demonstrated that parental control can escalate adolescent suicidal behaviour, particularly among girls.

In the present study, the age cohort of participants and parenting styles may have determined outcomes. Adolescence is a critical stage where individuals are seeking to be more independent, while needing the guidance and support from parents. Parenting styles may be influenced by culture, religion, and the community, thus parenting practices and parent-child relationships are also affected [ 81 ]. For instance, in the context of the Philippines, the impact of parenting styles often differs between sons and daughters [ 82 ]. Hock et al., [ 83 ] suggested that in the Philippines, parents tend to be stricter with daughters than sons, particularly concerning romantic relationships and sex [ 84 ], whereas the strictness of parents towards sons tended to focus on their educational and occupational achievements. A different parenting focus on sons and daughters may influence restrictions of freedom for girls and expectations for boys, and this may lead to the negative impact of parental involvement in suicidal behaviour outcomes [ 26 ].

Suggestions and interventions to prevent adolescents’ bullying and suicidal behaviour should involve schoolteachers, parents, and the students themselves. Adults who work with vulnerable adolescents need to ensure that intervention or support is person centred. Twemlow & Sacco [ 85 ] suggested that youths need to feel safe, attached and valued in order to learn. Therefore, creating a person-centred environment for youths who are vulnerable would be a crucial essential step to build up a relationship between adolescent, school, and home for interventions. Secondly, adults need to give clear and consistent instructions to the students both at home and in school settings concerning bullying behaviour and the consequences of bullying. Whilst it is possible that one of the parties may not be able to offer such support to students, solving the problem requires both school and home to put in effort and collaborate [ 85 ]. Considering results of the present analysis highlighting the pivotal influence of loneliness and the lack of friends in determining suicidal behaviours among Filipino adolescents, it is recommended to envision intervention strategies that promote peer support and supportive connections among adolescents. Programs that focus on promoting peer support can not only increase mutual respect among peers but can also function as an early recognition tool of suicidal behaviours [ 86 , 87 ].

The present study utilised a 2011 data set drawn from the WHO. Recent data has shown an increasing rate of suicidality among adults in the Philippines [ 88 ], especially since the COVID-19 pandemic outbroke and continued in the country [ 89 ]. Young adult suicide rates have seen a significant increase particularly among young women [ 90 ]. It is possible that, untreated or not addressed suicidal behaviours, particularly thoughts of suicide, or a suicide plan will lead to more vulnerable adults, resulting in the present increase in fatal suicides among young adults in the country. Preventing suicidal behaviours in adolescence can hinder suicide in young adulthood [ 91 ]. For adolescents who have witnessed or experienced bullying or suicidal behaviour, it would be imperative to seek immediate support. Individuals who offer support may be schoolteachers, counsellors, parents, friends, as well as healthcare providers such as a psychiatrist, or practitioner psychologist. Despite some psychological factors might be treatable with an early identification of screening or through school or community-based mental health interventions [ 92 ], both school and community-based mental health services are insufficient in the Philippines in terms of the numbers of qualified practitioners and mental health services and facilities being distributed unevenly across the country [ 93 ].

The strengths of the study include the use of a large representative sample, extensive measures, and rigorous analysis. However, limitations should be considered in the interpretation of results. First, the present study is cross-sectional in nature, therefore it is not possible to determine the causality between suicidal behaviour and other groups of risk factors. Second, self-report questionnaires may result in under-reporting of undesirable behaviour (i.e., alcohol use and suicidal behaviour). The survey used in this study for example, employs questions that cover only the previous 12 months. For those students who experienced relatively lower levels of bullying or suicidal thoughts, it may be difficult to recall the incidences or the timeline of bullying and suicidal thoughts. Acknowledging suicidal behaviour, however, may be more difficult for adolescents in other forms of data collection (e.g., interviews) in countries where suicide is a taboo.

Despite the limitations of the study, the direction of future research could aim to include vulnerable and/or minority groups such as pupils with physical, psychological, or learning difficulties, or members of the LGBT community. These groups are more sensitive and more likely to experience bullying [ 94 ] which potentially leads to suicidal behaviours. According to Human Rights Watch (2017), school-attending adolescents who identified as homosexual or bisexual in the Philippines were often marginalised and were often the targets of derision, humiliation, and bullying within the school setting. A qualitative study [ 95 ] which explored LGBT students and the problems they encountered in schools evidenced that LGBT students were not only bullied by peers but were also discriminated against by their family or superiors. Another study [ 96 ] found that among 185 Filipino, nearly 25% of the participants reported having suicidal ideation and attempted suicide due to the stigma of sex in the country. Additionally, a higher proportion of lesbians and bisexual women experienced suicidal ideation (27.0%) compared to heterosexual females (18.2%); as well as suicide attempts (6.6% versus 3.9%) [ 97 ] due to the stressors of being judged for their sexual orientation. Therefore, including such participants in the study could generate informed results that may be of interest to educators, education stakeholders, parents and health practitioners or specialists.

The study involved a secondary analysis of the Philippines GSHS survey in 2011 which showed that gender differences, bullying and other risk factors were associated with adolescent suicidal behaviour (including ideation, planning and attempts). Female students were at higher risk of engaging in suicidal behaviours, particularly if exposed to risk factors such as bullying, having no close friends, loneliness, and alcohol consumption. Male students were more likely to engage in suicide attempts. The study identified several risk factors in relation to suicidal behaviour. Risk determinants include having no close friends, loneliness, anxiety, getting in troubles due to alcohol use, alcohol consumption, getting in fights, being bullied, being physically attacked and truancy. Generally, the results suggest that bullying does predict suicidal behaviour in Filipino adolescents, but variables related to isolation have a stronger role in predicting these conducts. Consequently, programmes enhancing peer support and healthy friendship networks could be potentially beneficial for suicide prevention. Mental health programmes as well should be made available and accessible in schools and communities in the Philippines.

Availability of data and materials

The datasets are publicly available in the WHO Non-Communicative Disease (NCD) Microdata Repository, which can be accessed at: https://extranet.who.int/ncdsmicrodata/index.php/catalog/89/get-microdata

Moore SE, Norman RE, Suetani S, Thomas HJ, Sly PD, Scott JG. Consequences of bullying victimization in childhood and adolescence: a systematic review and meta-analysis. World J Psychiatry. 2017;7(1):60 (PMC5371173).

Article   Google Scholar  

Association AP. Bullying Washington DC: American Psychological Association. 2022. Available from: https://www.apa.org/topics/bullying .

Olweus D. School bullying: development and some important challenges. Annu Rev Clin Psychol. 2013;9:751–80. https://doi.org/10.1146/annurev-clinpsy-050212-185516 (1548-5943).

Article   PubMed   Google Scholar  

Menesini E, Salmivalli C. Bullying in schools: the state of knowledge and effective interventions. Psychol Health Med. 2017;22(1):240–53. https://doi.org/10.1080/13548506.2017.1279740 .

Musu L, Zhang A, Wang K, Zhang J, Oudekerk B. Indicators of school crime and safety: 2018. Washington, DC: National Center for Education Statistics, U.S. Department of Education, and Bureau of Justice Statistics, Office of Justice Programs, U.S. Department of Justice; 2019.

Google Scholar  

Yusuf A, Habibie AN, Efendi F, Kurnia ID, Kurniati A. Prevalence and correlates of being bullied among adolescents in Indonesia: results from the 2015 Global School-based Student Health Survey. Int J Adolesc Med Health. 2019;34(1).  https://doi.org/10.1515/ijamh-2019-0064

Owuamanam DO, Makinwa VI. Prevalence of bullying among secondary school students in Ondo state Nigeria. Eur Sci J. 2015;11(20):1857–7881.

OECD. PISA 2018 results (Volume III). 2019.

Book   Google Scholar  

Sanapo MS. When kids hurt other kids: bullying in Philippine schools. Psychology. 2017;8(14):2469. https://doi.org/10.4236/psych.2017.814156 .

Barzilay S, Klomek AB, Apter A, Carli V, Wasserman C, Hadlaczky G, et al. Bullying victimization and suicide ideation and behavior among adolescents in Europe: a 10-country study. J Adolesc Health. 2017;61(2):179–86. https://doi.org/10.1016/j.jadohealth.2017.02.002 (1054-139X).

Peltzer K, Pengpid S. Loneliness and health risk behaviors among ASEAN adolescents. Iran J Psychiatry Behav Sci. 2017;11(3).  https://doi.org/10.5812/ijpbs.7691

Schoeler T, Duncan L, Cecil CM, Ploubidis GB, Pingault J-B. Quasi-experimental evidence on short- and long-term consequences of bullying victimization: a meta-analysis. Psychol Bull. 2018;144(12):1229–46. https://doi.org/10.1037/bul0000171 .

Peltzer K, Pengpid S. Prevalence of truancy in a national sample of school going adolescents in Laos is associated with potential risk and protective factors. Child Youth Serv Rev. 2019;107:104521. https://doi.org/10.1016/j.childyouth.2019.104521 .

Gastic B. School truancy and the disciplinary problems of bullying victims. Educ Rev. 2008;60(4):391–404. https://doi.org/10.1080/00131910802393423 .

Zhang H, Zhou H, Tao T. Bullying behaviors and psychosocial adjustment among school-aged children in China. J Interpers Violence. 2019;34(11):2363–75. https://doi.org/10.1177/0886260518780777 .

Arslan G, Allen K-A, Tanhan A. School bullying, mental health, and wellbeing in adolescents: mediating impact of positive psychological orientations. Child Indic Res. 2021;14(3):1007–26. https://doi.org/10.1007/s12187-020-09780-21874-8988 .

Cañas E, Estévez E, Martínez-Monteagudo MC, Delgado B. Emotional adjustment in victims and perpetrators of cyberbullying and traditional bullying. Soc Psychol Educ. 2020;23(4):917–42. https://doi.org/10.1007/s11218-020-09565-z1573-1928 .

Silva MI, Pereira B, Mendonça D, Nunes B, Oliveira W. The involvement of girls and boys with bullying: An analysis of gender differences. Int J Environ Res Public Health. 2013;10(12):6820–31. https://doi.org/10.3390/ijerph10126820 .

Article   PubMed   PubMed Central   Google Scholar  

Smith PK, López-Castro L, Robinson S, Görzig A. Consistency of gender differences in bullying in cross-cultural surveys. Aggress Violent Behav. 2019;45:33–40. https://doi.org/10.1016/j.avb.2018.04.006 (1359-1789).

Feijóo S, O’Higgins-Norman J, Foody M, Pichel R, Braña T, Varela J, Rial A. Sex differences in adolescent bullying behaviours. Psychosoc Interv. 2021;30(2):95–100. https://doi.org/10.5093/pi2021a1 .

Perry Y, Petrie K, Buckley H, Cavanagh L, Clarke D, Winslade M, et al. Effects of a classroom-based educational resource on adolescent mental health literacy: a cluster randomised controlled trial. J Adolesc. 2014;37(7):1143–51. https://doi.org/10.1016/j.adolescence.2014.08.001 (0140-1971).

Giletta M, Prinstein MJ, Abela JR, Gibb BE, Barrocas AL, Hankin BL. Trajectories of suicide ideation and nonsuicidal self-injury among adolescents in mainland China: peer predictors, joint development, and risk for suicide attempts. J Consult Clin Psychol. 2015;83(2):265. https://doi.org/10.1037/a0038652 .

Biswas T, Scott JG, Munir K, Thomas HJ, Huda MM, Hasan MM, et al. Global variation in the prevalence of bullying victimisation amongst adolescents: role of peer and parental supports. EClinicalMedicine. 2020;20:100276. https://doi.org/10.1016/j.eclinm.2020.100276 (2589-5370).

Shaheen AM, Hamdan KM, Albqoor M, Othman AK, Amre HM, Hazeem MNA. Perceived social support from family and friends and bullying victimization among adolescents. Child Youth Serv Rev. 2019;107:104503. https://doi.org/10.1016/j.childyouth.2019.104503 (0190-7409).

Xiao Y, Ran H, Fang D, Che Y, Donald AR, Wang S, et al. School bullying associated suicidal risk in children and adolescents from Yunnan, China: The mediation of social support. J Affect Disord. 2022;300:392–9. https://doi.org/10.1016/j.jad.2022.01.032 (0165-0327).

Goschin S, Briggs J, Blanco-Lutzen S, Cohen LJ, Galynker I. Parental affectionless control and suicidality. J Affect Disord. 2013;151(1):1–6. https://doi.org/10.1016/j.jad.2013.05.096 0165-0327.

Sellers CM, Diaz-Valdes Iriarte A, Wyman Battalen A, O’Brien KHM. Alcohol and marijuana use as daily predictors of suicide ideation and attempts among adolescents prior to psychiatric hospitalization. Psychiatry Res. 2019;273:672–7. https://doi.org/10.1016/j.psychres.2019.02.006 (0165-1781).

Peleg-Oren N, Cardenas GA, Comerford M, Galea S. An association between bullying behaviors and alcohol use among middle school students. J Early Adoles. 2010;32(6):761–75. https://doi.org/10.1177/0272431610387144 .

Swahn MH, Palmier JB, Benegas-Segarra A, Sinson FA. Alcohol marketing and drunkenness among students in the Philippines: findings from the nationally representative Global School-based Student Health Survey. BMC Public Health. 2013;13(1):1–8. https://doi.org/10.1186/1471-2458-13-1159 .

WHO T. World Health Statistics 2018: monitoring health for the SDGs, sustainable development goals. 2018. http://apps.who.int/iris/bitstream/handle/10665/272596/9789241565585-eng.pdf?ua=1 . Contract No.: ISBN 978–92–4–156558–5.

Turecki G, Brent DA. Suicide and suicidal behaviour. Lancet. 2016;387(10024):1227–39. https://doi.org/10.1016/S0140-6736(15)00234-2 (0140-6736).

Rozanov VA, Rakhimkulova AS. Suicidal ideation in adolescents—a transcultural analysis. Handbook of suicidal behaviour. 2017. p. 267–85.

McKinnon B, Gariépy G, Sentenac M, Elgar FJ. Adolescent suicidal behaviours in 32 low-and middle-income countries. Bull World Health Organ. 2016;94(5):340. https://doi.org/10.2471/BLT.15.163295 .

WHO T. Promoting mental health and wellness. 2009. http://thepafp.org/website/wp-content/uploads/2017/05/2009-WHO-Lifestyle-Manual-module6-mental-health.pdf .

Ritchie H, Roser M, Ortiz-Ospina E. Suicide Online OurWorldInData.org. 2015. Available from:  https://ourworldindata.org/suicide .

Pengpid S, Peltzer K. Suicide attempt and associated factors among adolescents in five Southeast Asian Countries in 2015. Crisis. 2020;41(4):296–303. https://doi.org/10.1027/0227-5910/a000642 .

De Leo D. Can we rely on suicide mortality data? Crisis. 2015;36(1):1–3. https://doi.org/10.1027/0227-5910/a000315 .

Patel V. Mental health in low-and middle-income countries. Br Med Bull. 2007;81(1):81–96. https://doi.org/10.1093/bmb/ldm010 (1471-8391).

Rathod S, Pinninti N, Irfan M, Gorczynski P, Rathod P, Gega L, et al. Mental health service provision in low- and middle-income Countries. Health Services Insights. 2017;10:1178632917694350. https://doi.org/10.1177/1178632917694350 .

Alavi N, Reshetukha T, Prost E, Antoniak K, Patel C, Sajid S, Groll D. Relationship between bullying and suicidal behaviour in youth presenting to the emergency department. J Can Acad Child Adoles Psychiatry. 2017;26(2):70–7 PMC5510935.

Freeman A, Mergl R, Kohls E, Székely A, Gusmao R, Arensman E, et al. A cross-national study on gender differences in suicide intent. BMC Psychiatry. 2017;17(1):234. https://doi.org/10.1186/s12888-017-1398-81471-244X .

Miranda-Mendizabal A, Castellví P, Parés-Badell O, Alayo I, Almenara J, Alonso I, et al. Gender differences in suicidal behavior in adolescents and young adults: systematic review and meta-analysis of longitudinal studies. Int J Public Health. 2019;64(2):265–83. https://doi.org/10.1007/s00038-018-1196-1 1661-8564.

Kõlves K, De Leo D. Adolescent suicide rates between 1990 and 2009: analysis of age group 15–19 years worldwide. J Adolesc Health. 2016;58(1):69–77. https://doi.org/10.1016/j.jadohealth.2015.09.014 (1054-139X).

Franklin JC, Ribeiro JD, Fox KR, Bentley KH, Kleiman EM, Huang X, Musacchio KM, Jaroszewski AC, Chang BP, Nock MK. Risk factors for suicidal thoughts and behaviors: a meta-analysis of 50 years of research. Psychol Bull. 2017;143(2):187–232. https://doi.org/10.1037/bul0000084 .

Lai KSY, Shek DT. Hopelessness, parent-adolescent communication, and suicidal Ideation among Chinese adolescents in Hong Kong. Suicide Life Threat Behav. 2010;40(3):224–33.

Tang JJ, Yu Y, Wilcox HC, Kang C, Wang K, Wang C, Wu Y, Chen R. Global risks of suicidal behaviours and being bullied and their association in adolescents: School-based health survey in 83 countries. EClinicalMedicine. 2020;10:100253. https://doi.org/10.1016/j.eclinm.2019.100253 .

Klomek AB, Sourander A, Gould M. The association of suicide and bullying in childhood to young adulthood: a review of cross-sectional and longitudinal research findings. Can J Pychiatry. 2010;55(5):282–8. https://doi.org/10.1177/070674371005500503 .

Peltzer K, Pengpid S. Health risk behaviour among in-school adolescents in the Philippines: trends between 2003, 2007 and 2011, a cross-sectional study. Int J Environ Res Public Health. 2016;13(1):73. https://doi.org/10.3390/ijerph13010073 1660–4601.

WHO T. Philippines - Global School-based Student Health Survey 2011. In: Prevention UCfDCa, editor.: WHO 3rd May, 2019.

WHO. Philippines - Global School-based Health Survey In: Prevention WHOatCfDCa, editor. 2011.

WHO DoH. 2011 Philippines Global School-based Health Survey WHO. 2011. Available from:  https://extranet.who.int/ncdsmicrodata/index.php/catalog/89/study-description#metadata-identification . Updated 03 May, 2019.

OFFICE. SEP. K to 12: the key to quality education? : Senate of the Philippines. 2011. http://legacy.senate.gov.ph/publications/PB%202011-02%20-%20K%20to%2012%20The%20Key%20to%20Quality.pdf .

Quintos MAM. Suicide ideation, suicide planning, and suicide attempts among high school students in the Philippines: trends and insight from four nationally representative datasets. J Soc Health. 2019;2(2):2651–6837.

Nation M, Vieno A, Perkins DD, Santinello M. Bullying in school and adolescent sense of empowerment: an analysis of relationships with parents, friends, and teachers. J Community Appl Soc Psychol. 2008;18(3):432–8. https://doi.org/10.1016/j.jadohealth.2014.03.002 .

Cowie H. Understanding the role of bystanders and peer support in school bullying. Int J Emot Educ. 2014;6(1):26-32EISSN-2073–7629.

Graham S. Victims of bullying in Schools. Theory Prac. 2016;55(2):136–44. https://doi.org/10.1080/00405841.2016.1148988 .

Bearman PS, Moody J. Suicide and friendships among American adolescents. Am J Public Health. 2004;94(1):89–95. https://doi.org/10.2105/ajph.94.1.89 PMC1449832.

Randall JR, Doku D, Wilson ML, Peltzer K. Suicidal behaviour and related risk factors among school-aged youth in the Republic of Benin. PLoS ONE. 2014;9(2):e88233. https://doi.org/10.1371/journal.pone.0088233 .

Article   CAS   PubMed   PubMed Central   Google Scholar  

Wilson M, Dunlavy AC, Viswanathan B, Bovet P. Suicidal expression among school-attending adolescents in a middle-income Sub-Saharan Country. Int J Environ Res Public Health. 2012;9(11):4122–34. https://doi.org/10.3390/ijerph9114122 .

Borges G, Loera CR. Alcohol and drug use in suicidal behaviour. Curr Opin Psychiatry. 2010;23(3):195–204. https://doi.org/10.1097/yco.0b013e3283386322 .

Swahn MH, Palmier JB, Kasirye R, Yao H. Correlates of suicide ideation and attempt among youth living in the slums of Kampala. Int J Environ Res Public Health. 2012;9(2):596–609. https://doi.org/10.3390/ijerph9020596 .

Shilubane HN, Ruiter RA, Bos AE, van den Borne B, James S, Reddy PS. Psychosocial correlates of suicidal ideation in rural South African adolescents. Child Psychiatry Hum Dev. 2014;45(2):153–62. https://doi.org/10.1007/s10578-013-0387-5 .

Page RM, Dennis M, Lindsay GB, Merrill RM. Psychosocial distress and substance use among adolescents in four Countries:Philippines, China, Chile, and Namibia. Youth Soc. 2011;43(3):900–30. https://doi.org/10.1177/0044118X10368932 .

Yi S, Ngin C, Peltzer K, Pengpid S. Health and behavioral factors associated with binge drinking among university students in nine ASEAN countries. Substance Abuse Treatment, Prevention, and Policy. 2017;12(1):32. https://doi.org/10.1186/s13011-017-0117-21747-597X .

Deressa W, Azazh A. Substance use and its predictors among undergraduate medical students of Addis Ababa University in Ethiopia. BMC Public Health. 2011;11(1):1–11. https://doi.org/10.1186/1471-2458-11-6601471-2458 .

Peltzer K, Pengpid S. Heavy drinking and social and health factors in university students from 24 low, middle income and emerging economy countries. Community Ment Health J. 2016;52(2):239–44. https://doi.org/10.1007/s10597-015-9925-x1573-2789 .

Paul LA, Grubaugh AL, Frueh BC, Ellis C, Egede LE. Associations between binge and heavy drinking and health behaviors in a nationally representative sample. Addict Behav. 2011;36(12):1240–5. https://doi.org/10.1016/j.addbeh.2011.07.034 (0306-4603).

Marshall EJ. Adolescent alcohol use: risks and consequences. Alcohol Alcohol. 2014;49(2):160–4. https://doi.org/10.1093/alcalc/agt180 (0735-0414).

Jones SA, Lueras JM, Nagel BJ. Effects of binge drinking on the developing brain. Alcohol Res. 2018;39(1):87-962169-47962168–3492 PMC6104956.

PubMed   PubMed Central   Google Scholar  

Gass JT, Glen WB, McGonigal JT, Trantham-Davidson H, Lopez MF, Randall PK, et al. Adolescent alcohol exposure reduces behavioral flexibility, promotes disinhibition, and increases resistance to extinction of ethanol self-administration in adulthood. Neuropsychopharmacology. 2014;39(11):2570–83. https://doi.org/10.1038/npp.2014.1091740-634X .

Salas DRQ, Hinlo JE. Alcohol consumption and crime incidence in the Philippines [Internet]. Republic of the Philippines, Philippine Statistics Authority. 2012. Available from: https://psa.gov.ph/sites/default/files/8.6.3%20Alcohol%20Consumption%20and%20Crime%20Incidence%20in%20the%20Philippines%20.pdf .

Sornpaisarn B, Shield K, Manthey J, Limmade Y, Low WY, Van Thang V, et al. Alcohol consumption and attributable harm in middle-income South-East Asian countries: epidemiology and policy options. Int J Drug Policy. 2020;83:102856. https://doi.org/10.1016/j.drugpo.2020.102856 (0955-3959).

Albert JRG, David CC, Vizmanos JFV. Barriers and bottlenecks to school attendance: an update 2018. Available from: https://pidswebs.pids.gov.ph/CDN/PUBLICATIONS/pidspn1817.pdf .

WHO. Adolescent and young adult health. 2021. Available from:  https://www.who.int/news-room/fact-sheets/detail/adolescents-health-risks-and-solutions .

UNICEF. Levels & trends in child mortality New York, USA. 2020. https://www.unicef.org/media/79371/file/UN-IGME-child-mortality-report-2020.pdf.pdf .

IOM (Institute of Medicine), NRC (National Research Council). The Science of Adolescent Risk-Taking: Workshop Report [Internet]. Washington, DC: National Academies Press (US); 2011. Available from: https://www.ncbi.nlm.nih.gov/books/NBK53418/ .

Papafratzeskakou E, Kim J, Longo GS, Riser DK. Peer victimization and depressive symptoms: role of peers and parent–child relationship. J Aggress Maltreat Trauma. 2011:7.  https://doi.org/10.1080/10926771.2011.608220 .

King CA, Merchant CR. Social and interpersonal factors relating to adolescent suicidality: a review of the literature. Arch Suicide Res. 2008;12(3):181–96. https://doi.org/10.1080/13811110802101203 .

Kim HH. Parental overprotection and youth suicide behavior in low- and middle-income countries: a multilevel analysis of cross-national data. Int J Public Health. 2018;64(2):173–84. https://doi.org/10.1007/s00038-018-1169-4 .

Kushal SA, Amin YM, Reza S, Shawon MdSR. Parent-adolescent relationships and their associations with adolescent suicidal behaviours: Secondary analysis of data from 52 countries using the global school-based health survey. EClinicalMedicine. 2021;31:100691. https://doi.org/10.1016/j.eclinm.2020.100691 .

Shidhaye R. Parenting and adolescent suicidal behavior. EClinicalMedicine. 2021;32:100728. https://doi.org/10.1016/j.eclinm.2021.100728 .

Shek DT. Paternal and maternal influences on the psychological well-being, substance abuse, and delinquency of Chinese adolescents experiencing economic disadvantage. J Clin Psychol. 2005;61:219–34. https://doi.org/10.1002/jclp.20057 .

Hock RS, Mendelson T, Surkan PJ, Bass JK, Bradshaw CP, Hindin MJ. Parenting styles and emerging adult depressive symptoms in Cebu, the Philippines. Transcult Psychiatry. 2018;55(2):242–60. https://doi.org/10.1177/1363461517748813 .

Belen M. The Filipino family. 2nd ed. Quezon City, the Philippines: University of the Philippines Press; 2001.

Twemlow SW, Sacco FC. Bullying is everywhere: ten universal truths about bullying as a social process in schools & communities. Psychoanal Inq. 2013;33(2):73–89. https://doi.org/10.1080/07351690.2013.759484 .

Hart LM, Cropper P, Morgan AJ, Kelly CM, Jorm AF. Teen mental health first aid as a school-based intervention for improving peer support of adolescents at risk of suicide: outcomes from a cluster randomised crossover trial. Aust N Z J Psychiatry. 2020;54(4):382–92. https://doi.org/10.1177/0004867419885450 .

Schlichthorst M, Ozols I, Reifels L, Morgan A. Lived experience peer support programs for suicide prevention: a systematic scoping review. Int J Ment Health Syst. 2020;14(65):1–12. https://doi.org/10.1186/s13033-020-00396-1 .

Lagman JG, Gara M, Baweja R, Kim WJ. Correlates of suicide attempts in Filipino youths: an analysis based on the 2015 global school-based student health survey. Cureus. 2021;19(9):e18100. https://doi.org/10.7759/cureus.18100 .

Philstar. Pandemic year sees 57% rise in suicide rate in Philippines. 2021. https://www.philstar.com/headlines/2021/07/06/2110596/pandemic-year-sees-57-rise-suicide-rate-philippines .

Authority PS. 2022. Available from: https://psa.gov.ph/ .

Hooven C, Snedker KA, Thompson EA. Suicide risk at young adulthood: continuities and discontinuities from adolescence. Youth Soc. 2012;44(4):524–47. https://doi.org/10.1177/0044118X11407526 .

Barry MM, Clarke AM, Jenkins R, Patel V. A systematic review of the effectiveness of mental health promotion interventions for young people in low and middle income countries. BMC Public Health. 2013;13:835. https://doi.org/10.1186/1471-2458-13-835 .

WHO T. Mental health system in the Philippines. Manila: Philippines Department of Health, Health Do; 2006.

Olsen EO, Kann L, Vivolo-Kantor A, Kinchen S, McManus T. School violence and bullying among sexual minority high school students, 2009–2011. J Adoles Health. 2014;55(3):432–8. https://doi.org/10.1016/j.jadohealth.2014.03.002 .

Tang X, Poudel AN. Exploring challenges and problems faced by LGBT students in the Philippines: a qualitative study. J Public Health Policy Planning. 2018;2(3):9–17.

Reyes MES, Davis RD, David AJA, del Rosario CJC, Dizon APS, Fernandez JLM, Viquiera MA. Stigma burden as a predictor of suicidal behavior among lesbians and gays in the Philippines. Suicidol Online. 2017;8(26):1-102078–5488.

Manalastas EJ. Suicide ideation and suicide attempt among young lesbian and bisexual Filipina women. Asian Women. 2016;32(3):101–20. https://doi.org/10.14431/aw.2016.09.32.3.101 .

Download references

Acknowledgements

The authors would like to thank the World Health Organization (WHO) and the Centers for Disease Control and Prevention (US CDC) for their dedication in creating the Global School-based Health Survey and collecting data from the low and low-middle income countries.

This study did not receive any funding.

Author information

Authors and affiliations.

College of Health, Medicine and Life Sciences, Brunel University London,, Uxbridge, UK

Center for Open Science (COS), Charlottesville, Virginia, USA

Elisabeth Julie Vargo

You can also search for this author in PubMed   Google Scholar

Contributions

H.C. and E.J.V. equally collaborated in the inception of the study and its methods. Both authors contributed to data analysis. H.C. elaborated the first version of the manuscript and E.J.V. subsequently edited the final version. H.C. prepared all Tables contained in the manuscript. All authors reviewed the final version of the manuscript.

Corresponding author

Correspondence to Elisabeth Julie Vargo .

Ethics declarations

Ethics approval and consent to participate.

This study uses secondary data and received Ethics approval from the College of Health, Medicine and Life Sciences Research Ethics Committee (DLS), Brunel University London. All methods were carried out in accordance with relevant guidelines and regulations.

Consent for publication

Not Applicable.

Competing interests

There are no conflicts of interest or competing interests associated to this study.

Additional information

Publisher’s note.

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ . The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/ ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Cite this article.

Chiu, H., Vargo, E.J. Bullying and other risk factors related to adolescent suicidal behaviours in the Philippines: a look into the 2011 GSHS Survey. BMC Psychiatry 22 , 445 (2022). https://doi.org/10.1186/s12888-022-04085-w

Download citation

Received : 26 January 2022

Accepted : 23 June 2022

Published : 04 July 2022

DOI : https://doi.org/10.1186/s12888-022-04085-w

Share this article

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

  • Adolescents
  • Gender differences
  • Suicidal behaviour
  • Philippines

BMC Psychiatry

ISSN: 1471-244X

research study about bullying in the philippines

U.S. flag

An official website of the United States government

The .gov means it’s official. Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

The site is secure. The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

  • Publications
  • Account settings

Preview improvements coming to the PMC website in October 2024. Learn More or Try it out now .

  • Advanced Search
  • Journal List
  • Child Health Nurs Res
  • v.27(1); 2021 Jan

Empathy, cyberbullying, and cybervictimization among Filipino adolescents

Tadena shannen.

1 Graduate Student, School of Nursing, Hallym University, Chuncheon, Korea

Shin-Jeong Kim

2 Professor, School of Nursing, Research Institute of Nursing Science, Hallym University, Chuncheon, Korea

Jungmin Lee

3 Lecturer, School of Nursing, Hallym University, Chuncheon, Korea

The purpose of this study was to gain insights into empathy, cyberbullying, and cybervictimization among Filipino adolescents.

The participants were 168 junior high school students in the 7th to 10th grades at a public high school in Cavite Province, Philippines. Data were collected on demographic characteristics, the Basic Empathy Scale, and Revised Cyber Bullying Inventory-II scores. The data were analyzed in SPSS using descriptive statistics (frequency and mean), the independent t-test, bivariate correlation, and one-way analysis of variance.

The degree of empathy did not show a statistically significant relationship with cyberbullying (r=−.07, p =.359) but did show a significant relationship with cybervictimization (r=.18, p =.025). Furthermore, cyberbullying had a statistically significant association with cybervictimization (r=.60, p <.001).

Although empathy does not necessarily affect cyberbullying, higher levels of empathy were found among cyberbullying victims. However, an alarming result of this study is the possibility that victims may become cyberbullies. Therefore, we should highlight empathy as part of efforts to prevent cyberbullying and to solve various cyber-related problems. Since cyberbullying and cybervictimization are closely related, it is important to focus on this relationship and to make multilateral efforts to ensure that cyberbullying does not lead to other negative issues.

INTRODUCTION

Cyberbullying is more harmful than other types of violence because a negative post or comment can reach a limit-less number of social media (SM) users, thereby increasing the opportunity of prolonged exposure and permanency [ 1 , 2 ]. Furthermore, younger generations currently tend to embrace the use of SM [ 1 ]. A term related to “cyberbullying” is “cybervictimization’, which refers to the experience of being victimized through the use of electronic information on the internet [ 2 ]. Cyberbullying is considered to be a form of violent behavior; therefore, it is expected that cyberbullying causes detrimental effects for both the victim and the perpetrator.

The use of the internet for SM has steadily grown over time. As of January 2020, the estimated number of active SM users worldwide was 3.8 billion, reflecting an increase from the number of 3.4 billion in January 2019 [ 3 ]. In particular, during the coronavirus disease 2019 (COVID-19) pandemic, there has been an increase in the number of digital platform users [ 4 ]. Individuals are now actively posting their new achievements during the pandemic lockdown and expressing their opinions more vocally than before, as SM is now the most frequently used communication method for most individuals [ 4 ]. One study showed that as SM use increases, students who are prone to bullying are more likely to face cyberbullying [ 4 ]. There can be a limitless exchange of information among the SM users, and this information can sometimes be used in negative ways that may cause harm or make someone feel harassed. The act of harassing or harming someone via the use of SM is called cyberbullying. Cyberbullying can happen by sending harassing messages, posting derogatory comments on SM sites, posting humiliating pictures, and threatening someone electronically [ 5 ].

Victims of cyberbullying usually report feelings of depression, anger, frustration, and even suicidal thoughts. Cyberbullying has been found to be linked to low self-esteem, family problems, academic problems, violence, and delinquent behaviors [ 1 , 4 ]. In general, the estimated number of adolescents experiencing cyberbullying is around 10%-40%, although the percentage depends on age and the definition of cyberbullying used in the study [ 1 , 2 ]. In the United States, among a sample of 5,700 middle to high school students, 33.8% admitted to being cyberbullied, while 11.5% admitted to being perpetrators of cyberbullying [ 1 ]. In South Korea, 10.8% of 50,000 elementary to high school students experienced cyberbullying [ 6 ]. In a survey conducted in the Philippines, it was found that 80% of 1,143 respondents aged 13-16 years experienced cyberbullying [ 7 ].

A psychological factor related to the development of violent behavior is having a low empathy level. Empathy can be defined using two dimensions: cognitive and affective. Cognitive empathy is the ability to communicate, tolerate, recognize, and perceive emotions, while affective empathy refers to the ability to perceive and share both the positive and negative emotions of other people [ 8 ]. A study showed that lower levels of empathy increased the development of violent or aggressive behaviors, while a higher level of empathy decreased the development of violent or aggressive behaviors [ 9 ]. Since cyberbullying is considered to be a violent behavior, it is possible that empathy influences cyberbullying.

Adolescence is an important developmental stage when adolescents transition from childhood to adulthood. The changes experienced by adolescents also affect their roles in their family, with friends, and in their communities. Thus, it is vital to pay special attention to adolescents [ 10 ]. The parents of Filipino adolescents set the expectation that they are to be aware of their actions and the consequences corresponding to those actions [ 11 ]. Camaraderie is a factor valued by Filipino adolescents, which is why it is natural for them to be friendly, resulting in the expectation that they know how to empathize with someone [ 11 ]. Nonetheless, little research has discussed Filipino adolescents’ characteristics, and although favorable characteristics have been mentioned, there has been an increase in cases of cyberbullying in the Philippines [ 7 ].

It has been reported that inhabitants of the Philippines spend an average of 4 hours a day using SM, exceeding the values reported for other countries [ 3 ]. Since prolonged exposure to SM can increase victimization, Filipinos may be exposed to the harmful effects of SM for a longer time than others [ 1 ]. Although there has been an increase in the number of cases of cyberbullying in the Philippines, little research has tackled this issue. Because of the detrimental effects of cyberbullying, it is important for adolescents to be aware of its seriousness and the importance of putting an end to this violent behavior. Since adolescence is a vital stage of life, it is important to properly guide adolescents throughout this period. To the researchers’ knowledge, no published study has yet investigated empathy among Filipino adolescents and its possible influence on cyberbullying and cybervictimization.

The purpose of this study was to investigate empathy, cyberbullying, and cybervictimization among Filipino adolescents, with the following specific goals:

  • To identify the degree of empathy, cyberbullying, and cybervictimization among junior high school students.
  • To identify differences in empathy, cyberbullying, and cybervictimization according to participants’ general characteristics.
  • To identify the relationships among empathy, cyberbullying, and degree of cybervictimization.

2. Theoretical Framework

Two theoretical frameworks were used to support the study: the social learning theory developed by Albert Bandura [ 12 ] and the general strain theory developed by Robert Agnew [ 13 ] ( Figure 1 ).

An external file that holds a picture, illustration, etc.
Object name is chnr-27-1-65f1.jpg

Empathy, cyberbullying, and cybervictimization framework.

Social learning theory [ 12 ] reflects the understanding that a person learns and develops attitudes, behaviors, and emotional reactions by observing others’ actions. It combines cognitive and behavioral learning theory. Cyberbullying incidents and SM may influence ones’ empathy due to what a person observes or experiences through SM. Along with other factors that may also affect someone’s empathy, a person might, or might not, engage in cyberbullying.

General strain theory [ 13 ] supports the assumption that negative experiences can lead to strain or stress. Victimization is considered a stressful experience, and according to this theory, experiences of stress or strain may cause a person to perform a positive or negative action to decrease the stress or strain. Within this framework, the study used general strain theory to investigate whether cybervictimization increased victims’ likelihood to engage in cyberbullying as a response to the strain that they experienced.

1. Study Design

This research is a descriptive study using a questionnaire to investigate empathy, cyberbullying, and cybervictimization among Filipino adolescents.

2. Participants

The participants were junior high school students who were currently enrolled in a public secondary school in Cavite Province, Philippines. Junior high school is the term used in the Philippines to describe grade 7 to 10 students, whereas in South Korea, the term middle or high school is used. The participants were students from grades 7 to 10 who were aged 12 to 19 years old and used SM applications. The school was selected using convenience sampling. The sample size for the correlation was calculated using G*Power 3.1.9.2. The results indicated that 164 participants were needed for an effect size of .25, a significance level of .05, and a test power of .95. Anticipating an 80% response rate, 201 participants were recruited. Responses from 168 participants were analyzed after excluding uncompleted questionnaires.

3. Measurements

The Basic Empathy Scale was developed by Jolliffe and Farrington [ 14 ] and validated among 363 adolescents (grade 10) in the United Kingdom. The scale is a 20-item instrument with two subscales (cognitive empathy with 9 items, Cronbach’s α = .79; affective empathy with 11 items, Cronbach’s α = .85). It is a 5-point Likert-type scale (strongly disagree=1, disagree=2, neutral=3, agree=4, and strongly agree=5). Eight items are reverse-scored. A higher score indicates a higher empathy level [ 14 ]. For the current study, four items were omitted to obtain a more acceptable Cronbach’s α. Each of the eight items was used to measure cognitive empathy and affective empathy. Cronbach’s α values of .67 for the complete empathy scale, .51 for cognitive empathy, and .52 for affective empathy were recorded. Cronbach’s α values ranging from .50 to .75 are generally accepted because these values indicate moderate reliability [ 15 ]. The researcher conducted a pilot study without omitting the four questions and recorded a Cronbach’s α of .79 for the complete empathy scale, .67 for cognitive empathy, and .65 for affective empathy. After omitting the four questions, Cronbach’s α values of .81 for the complete empathy scale, .80 for cognitive empathy, and .66 for affective empathy were recorded.

2) Cyberbullying and cybervictimization

The Revised Cyber Bullying (Cyber Victim) Inventory-II is the second revision of the tool developed by Topcu and Erdur-Baker [ 16 ] and validated among 1,803 high school students attending public high school in Ankara, Turkey. The purpose of the revision was to update and eliminate specific technology names. Consisting of 10 items, participants rate each item twice (once for reporting cyberbullying experience and once for reporting cybervictimization) on a 4-point rating scale (1=never, 2=once, 3=twice or three times, 4=more than three times). Scores are added to achieve the total score in each form. A total score of 10 means being not involved in cyberbullying or cybervictimization, respectively, whereas a higher score indicates more frequent engagement in cyberbullying and cybervictimization. The Cronbach’s α coefficients were .80 for the cybervictimization part and .79 for the cyberbullying part [ 17 ]. In this study, Cronbach’s α values of .80 for cyberbullying and .75 for cybervictimization were recorded. A pilot study recorded a Cronbach’s α of .88 for the entire questionnaire, .57 for the cyberbullying subscale, and .92 for the cybervictimization subscale.

3) Content validity index

The modified questionnaire used in this study to measure empathy was reviewed and approved by a group of experts, including two professors from the child and adolescent department and three nurses who had both worked in a pediatric unit at a university hospital for over 5 years and had doctoral degrees in nursing. The content validity index was .91 using the rating of item relevance.

4. Data Collection Method

After receiving approval to conduct the study from the Institutional Review Board of Hallym University, the researcher coordinated with a teacher at a public secondary school in the Philippines. The researcher was endorsed by the school principal, and a letter describing the timetable for gathering data, the research tools, the purpose of the study, and permission to conduct the study was personally given. After receiving permission to conduct the study, endorsement letters, student and parental consent forms were distributed to the students and were signed by both the student and parents as proof that they agreed to participate in the study. After receiving the consent forms, a pilot study was conducted among two students from each grade level to assess the validity of the tool. After validation, the researcher collected data by distributing the questionnaires, giving instructions, and remaining in the classroom for the duration of questionnaire completion be able to respond to any questions or clarification from the participants. It took around 15 minutes for each class to complete the questionnaires. The collected questionnaires were kept and locked in the cabinet of the corresponding author’s research room and were not accessible to any other researchers.

5. Ethical Considerations

The two instruments used in this study were approved for use by the original authors through email. In addition, the study was conducted after receiving approval from the Institutional Review Board of Hallym University (HIRB-2019-092). The study was conducted at a public secondary school. The researcher explained the purpose and procedure of the research to the participants who agreed to participate by completing an informed consent form. Assurance was given that the results of the study would only be used for the current study and that the anonymity of the participants would be maintained. Participants were provided snacks worth about $1 per person as compensation.

6. Statistical Analysis

Data were analyzed using SPSS for Windows version 25 (IBM Corp., Armonk, NY, USA). Participants’ demographic characteristics were analyzed in terms of percentage, frequency, and mean±standard deviation. The Shapiro-Wilk hypothesis test and the Levene test for equality of variance were performed to confirm the normality of the distribution and within-group normality. The t-test and analysis of variance were conducted to identify differences in empathy, cyberbullying, and cybervictimization according to participants’ characteristics. The Duncan multiple range test was used to determine specific differences between pairs of means. Bivariate correlation analysis was conducted to assess the relationships among empathy, cyberbullying, and cybervictimization

1. Descriptive Characteristics of the Participants

The descriptive characteristics of the participants are shown in Table 1 . Of the 168 participants, 44.0%(n=74) were male and 56.0%(n=94) were female, and their ages were 12-19 years old, with a mean of 14.3±1.4 years. Forty-four (26.2%) of the participants were in the 10th grade, followed by 25.6 % (n=43) in eighth grade, 24.4% (n=41) in seventh grade, and 23.8% (n=40) in the ninth grade. The most commonly utilized SM platform by the participants was Facebook (98.8%; n= 166). The average time of SM usage per day was 296.1±266.1 minutes (4.93 hours or almost 5 hours). Among the 168 participants, the majority used SM applications more than seven times per day (n=57, 34.3%), followed by three to four times (n=46, 27.7%), five to six times (n=39, 23.5%), and one to two times (n=24, 14.5%). The cell phone was the primary device used to check SM platforms (n=154, 91.7%). The predominant purpose of using SM was to watch videos (n=121, 72.0%), while the least common purpose was to read articles (n=62, 36.9%).

Demographic Characteristics of Participants ( N =168)

CharacteristicsCategoriesn (%)
M±SD
GenderMale74 (44.0)
Female94 (56.0)
Age (year) 14.3±1.4
12-15129 (77.7)
16-1937 (22.3)
Grade7th41 (24.4)
8th43 (25.6)
9th40 (23.8)
10th44 (26.2)
What SM/SNS platform(s) do you use Facebook166 (98.8)
Instagram64 (38.1)
Messenger123 (73.2)
Others21 (12.5)
Skype2 (1.2)
Snapchat86 (51.2)
TikTok61 (36.3)
Tumblr7 (4.2)
Twitter43 (25.6)
Time usage (minute)296.1±266.1
Daily use (time) 1-224 (14.5)
3-446 (27.7)
5-639 (23.5)
≥757 (34.3)
The device used to check SM Cell phone154 (91.7)
Laptop/personal48 (28.6)
Computer21 (12.5)
Tablet/iPad5 (3.0)
Purpose of using SM Communication106 (63.1)
Educational purposes73 (43.5)
Posting pictures97 (57.7)
Reading articles62 (36.9)
Updating oneself on the latest news84 (50.0)
Watching video121 (72.0)

SM, social media; SNS, social networking site.

2. Degree of Empathy, Cyberbullying, and Cybervictimization

The content, mean score, and standard deviation of the Basic Empathy Scale and Revised Cyber Bullying Inventory-II are presented in Table 2 . The total mean score for empathy was 3.4±0.4 out of 5, indicating a high level of empathy among the participants. The item with the highest mean score was “I can understand my friend’s happiness when she/he does well at something” (3.7±1.1). Followed by “When someone is feeling ‘down’ I can usually understand how they feel” (3.6±1.2), “I often become sad when watching sad things on or in films” (3.6±1.3), “I can often understand how people are feeling even before they tell” (3.7±1.1), and “I can usually work out when people are cheerful” (3.6±1.1). The item with the lowest mean score was “I find it hard to know when my friends are frightened” (2.8±1.1). The average score was divided by 10 which is the number of items. Thus, for cyberbullying was 1.6±0.5, and that for cybervictimization was 1.7±0.6 out of 4, which indicated the existence of cyberbullying and cybervictimization, with a slightly higher score for the latter. “Insulting someone [on the internet]” was the item with the highest average score (1.9±1.0 for cyberbullying and 2.1±1.1 for cybervictimization), followed by “taking over the password of someone’s account [on the internet]”(1.8±0.9 for cyberbullying and 1.8±0.9 for cybervictimization). “Creating a humiliating website [on the internet]” showed the lowest mean score (1.1±0.5 for cyberbullying and 1.2±0.6 for cybervictimization).

Empathy, Cyberbullying, and Cybervictimization of the Participants ( N =168)

VariableCategoriesContentsM±SD
EmpathyCognitive empathyI can understand my friend’s happiness when she/he does well at something.3.7±1.1
I find it hard to know when my friends are frightened. 2.8±1.1
When someone is feeling ‘down’ I can usually understand how they feel.3.6±1.2
I can usually work out when my friends are scared.3.1±1.0
I can often understand how people are feeling even before they tell me.3.6±1.1
I can usually work out when people are cheerful.3.6±1.1
I am not usually aware of my friend’s feelings. 3.4±1.2
I have trouble figuring out when my friends are happy. 3.0±1.2
Sub total3.4±0.5
Affective empathyMy friend’s emotions don’t affect me much. 3.3±1.2
After being with a friend who is sad about something, I usually feel sad.3.5±1.0
I get caught up in other people’s feelings easily.3.2±1.1
Other people’s feelings don’t bother me at all. 3.3±1.2
I often become sad when watching sad things on or in films.3.6±1.3
Seeing a person who has been angered has no effect on my feelings. 3.0±1.1
I tend to feel scared when I am with friends who are afraid.3.0±1.0
I often get swept up in my friend’s feelings.3.3±1.0
Sub total3.3±0.5
Total3.4±0.4
VariableContentsCyber bullyingCyber victimization
M±SDM±SD
Cyberbullying and cybervictimization[On the internet] taking over the password of someone’s account.1.8±0.91.8±0.9
[On the internet] using someone’s account without his/her permission.1.5±0.81.6±0.9
[On the internet] threatening someone.1.4±0.81.7±0.9
[On the internet] insulting someone.1.9±1.02.1±1.1
[On the internet] sending embarrassing and hurtful messages.1.7±0.91.8±1.0
[On the internet] sharing an inappropriate photo or a video of someone without his/her permission.1.5±0.81.7±0.9
[On the internet] sharing a secret with others without the permission of the owner.1.6±0.81.8±0.9
[On the internet] spreading rumors.1.5±0.71.7±0.9
[On the internet] creating an account on behalf of someone without letting him/her know and acting like the account’s owner.1.3±0.71.4±0.8
[On the internet] creating a humiliating website.1.1±0.51.2±0.6
Total1.6±0.51.7±0.6

3. Differences in the Level of Empathy, Cyberbullying, and Cybervictimization According to Participants’ General Characteristics

Patterns in empathy, cyberbullying and cybervictimization according to participants’ general characteristics are shown in Table 3 . Total empathy, cognitive empathy, and affective empathy were significantly higher among female participants than among male participants (t=3.82, p <.001, t=2.19, p =.030, and t=4.05, p =.001, respectively). However, there were no significant differences in cyberbullying and cybervictimization by gender (t=0.20, p =.838, and t=0.35, p =.724, respectively).

Differences in Participants’ Empathy, Cyberbullying, and Cybervictimization According to Their Characteristics ( N =168)

CharacteristicsCategoriesCognitive empathyAffective empathyEmpathy (total)CyberbullyingCybervictimization
M±SDt or F ( )M±SDt or F ( )M±SDt or F ( )M±SDt or F ( )M±SDt or F ( )
GenderMale27.0±4.42.19 (.030)25.6±3.94.05 (.001)52.7±7.03.82 (<.001)15.7±4.40.20 (.838)16.9±6.30.35 (.724)
Female28.5±4.328.4±4.357.3±7.715.5±4.417.2±5.0
Grade7th 26.2±4.73.80 (.012)25.3±4.93.45 (.010)51.9±8.03.90 (.010)14.0±3.93.03 (.031)15.0±5.27.66 (<.001)
8th 27.7±4.627.3±4.655.2±7.816.9±5.019.6±6.9
9th 27.5±3.827.5±4.555.1±7.015.2±3.815.2±4.3
10th 29.5±3.928.4±3.957.9±7.116.1±4.518.3±4.4
Age (year)12-1527.3±4.42.67 (.008)26.7±4.72.51 (.013)54.3±7.72.86 (.005)15.3±4.10.59 (.558)16.7±5.81.13 (.262)
16-1929.5±3.728.8±3.958.4±7.015.8±4.817.9±4.6
Daily use (time)1-226.96±4.350.60 (.615)25.79±4.191.05 (.372)52.65±7.530.92 (.434)14.42±3.050.71 (.547)15.42±3.961.37 (.253)
3-426.86±4.5926.09±4.1553.19±7.6315.65±4.1717.04±5.29
5-626.73±3.4426.85±3.4953.54±6.3815.90±4.7116.67±5.73
≥727.71±3.5527.10±3.9855.06±6.2915.91±5.0118.11±6.50

There was a statistically significant difference in total empathy and both cognitive and affective empathy according to grade level (F=3.90, p =.010, F=3.80, p =.012, and F=3.45, p = .010, respectively). Empathy was significantly higher among grade 10 students than among students of the other grade levels, but the Duncan post hoc test showed no significant difference in the mean scores. In addition, participants’ grade showed a statistically significant association with cyberbullying (F=3.03, p =.031). Cyberbullying was significantly more common among students in grade 8 than among students of the other grade levels, but the Duncan post hoc test showed no significance. In addition, cybervictimization showed a statistically significant difference according to grade level (F=7.66, p <.001), and was also higher in grade 8 participants, but the Duncan post hoc test showed no significance.

Statistically significant differences in total empathy and both cognitive and affective empathy were found according to participants’ age (t=2.86, p =.005, t=2.67, p =.008, and t=2.51, p =.013, respectively). There were no significant differences in cyberbullying or cybervictimization by age (t=0.59, p =.558, and t=1.13, p =.262, respectively). Finally, there were no significant differences in any dependent variables according to the daily use of SM.

4. Correlations among Empathy, Cyberbullying, and Cybervictimization

Cybervictimization was significantly correlated with participants’ total empathy (r=.18, p =.025) and cognitive empathy (r=.17, p =.030), but not with affective empathy (r=.12, p =.114). Total empathy was not significantly correlated with cyberbullying (r=−.07, p =.359). Cyberbullying was significantly correlated with cybervictimization (r=.60, p <.001) ( Table 4 ).

Correlations among Empathy, Cyberbullying, and Cybervictimization ( N =168)

VariablesEmpathyCyberbullyingCybervictimization
Cognitive empathyAffective empathyTotal
r ( )r ( )r ( )r ( )r ( )
EmpathyCognitive empathy1
Affective empathy1
Total.86 (<.001).87 (<.001)1
Cyberbullying.03 (.753)−.09 (.274)−.07 (.359)1
Cybervictimization.17 (.030).12 (.114).18 (.025).60 (<.001)1

The Philippines has a total population of 108 million, of whom 73 million are active SM users [ 3 , 18 ]. In the current study, Facebook was the most used SM application used by adolescents. In 2020, Facebook had approximately of 2.4 billion monthly users worldwide, thus making it the most popular SM application [ 3 ]. In the Philippines, Facebook is currently the most popular SM application, with at least 70 million users, and most SM users use cellphones to access SM; this trend was also found in a study conducted among Filipino adolescents [ 18 ]. The Philippines have had the longest average daily time of SM use for 4 consecutive years, which reached 4 hours in 2020 [ 3 ]. This finding is in line with the current study, which recorded an average of almost 5 hours of SM use. Most respondents used SM to watch videos (n=121) and for communication (n=106). Watching videos and communication were also the top 2 purposes of using SM in an earlier study [ 18 ].

Filipinos have been observed to value camaraderie and find it natural to be friendly to others, for which reason they place considerable importance on interpersonal relationships [ 11 ]. The importance placed on friendship may be interpreted as reflecting a high level of empathy among Filipino adolescents. The existence of cyberbullying and cybervictimization was evident according to the findings of the study. Even with the increase in cyberbullying in the Philippines, some undocumented cases may exist due to victims’ fear of their situation being publicized. Some schools also tend to under-report cyberbullying due to fears of tarnishing the school’s reputation [ 19 ].

Demographic characteristics are believed to possibly influence empathy, cyberbullying, and cybervictimization. A significant relationship was found between empathy and gender in the current study, with female adolescents scoring higher for empathy than male adolescents. This may result from gender expectations in Filipino culture between the two genders. Female adolescents are expected to help their mothers with chores and to take care of their siblings, which fosters nurturing characteristics and helps them to understand different emotions. In contrast, male adolescents are trained to be logical and independent, and to keep their emotions to themselves [ 20 ]. This may explain why the female participants in this study had a higher degree of empathy than the male participants. However, no significant relationship was found between cyberbullying or cybervictimization and gender, similar to another study conducted in the Philippines [ 21 ]. These results show that when considering factors influencing empathy, other demographic characteristics such as age, educational level, and economic level must also be considered, as well as gender. Thus, further research is needed to predict the variables that affect Filipino adolescents’ empathy regarding cyberbullying and cybervictimization.

The current study established a significant relationship between age and empathy. Another study also reported a similar result, and this relationship reflects the development of empathy, which grows with age until it reaches full development in adolescence [ 22 ]. However, some studies have reported a decrease in cognitive empathy and an increase in affective empathy in the elderly. A decrease in cognitive empathy may be related to reduced activity in brain areas associated with cognitive function [ 23 ].

No significant relationship was found between age and cybervictimization or cyberbullying in this study. This finding is similar to a study conducted among Filipino university students, where it was found that cyberbullying and cybervictimization experiences of students were not significantly related to their age [ 24 ].

There is scarce evidence regarding the relationships among grade level, empathy, cyberbullying, and cybervictimization. The current study identified a significant relationship between grade level and empathy, as well as with cyberbullying and cybervictimization. A study among grade 7-12 students found that the cognitive empathy of victims of cyberbullying was high [ 25 ]. However, in a comparison of cognitive empathy in cyberbully-victims (a term for victims who also engaged in cyberbullying) and bystanders, lower grade levels had higher levels of cognitive empathy than other groups, while higher grade levels had higher levels of cognitive empathy only among cyberbully-victims, but not bystanders. Furthermore, it was found that victimization increased after grade 7 and continued through grade 12 [ 25 ].

Empathy has consistently shown a negative relationship with antisocial behavior [ 15 ], implying that empathy may have a possible influence on cyberbullying. A study investigating the relationship between cyberbullying and empathy found out that a low level of both cognitive and affective empathy predicted cyberbullying [ 26 ]. The current study found no significant relationship between empathy and cyberbullying. The same result was found in another study, and a possible explanation for this result is that even though the participants had a high empathy level, which may make them sensitive to others’ emotions, they may have viewed cyberbullying as a normal phenomenon [ 27 ]. As such, it is crucial to provide Filipino adolescents with the necessary information to protect themselves against cyberbullying. In addition, active interest and participation of parents and teachers are needed for the development of programs, practices, and policies to protect and support this population from this problem.

Few studies have reported a relationship between empathy and cybervictimization. It was found that cybervictims scored higher than cyberbullies and uninvolved students or bystanders in both cognitive and affective empathy [ 28 ]. One study reported higher affective empathy among cybervictims [ 29 ]. Another study reported significant relationships of both cognitive and affective empathy with cybervictimization [ 30 ]. In the current study, total empathy and cognitive empathy, but not affective empathy, had significant relationships with cybervictimization. This finding of distinct relationships of cognitive and affective empathy with cybervictimization was not found in previous research. The significant relationship between cybervictimization and cognitive empathy may be explained by cybervictims’ capability to understand the perspective of others, while still having problematic social relationships, as shown by the lack of a significant association between affective empathy and cybervictimization. Furthermore, affective empathy is important in establishing social relationships [ 27 ].

Taking revenge is a possible response of a cybervictim to his or her bullies. The desire to take revenge may lead a cybervictim to engage in cyberbullying [ 30 ]. Another explanation is the application of general strain theory, which was developed by Agnew [ 13 ]. Greater exposure or experiences of cyberbullying may increase the likelihood that cybervictims will engage in cyberbullying to release their stress. This is an example of a negative response to strain. A study conducted in the Philippines and Turkey reported a positive relationship between cyberbullying and cybervictimization [ 21 ]. The current study yielded a significant relationship between cyberbullying and cybervictimization.

Several limitations were found in this study. The first is the length of the duration of data collection, which resulted in a small sample of participants from a single school. The second is that the researcher used convenience sampling to choose where to conduct the study and the participants to be included. Participants were picked by the teachers due to their availability and knowledge regarding SM use. The third is the use of a self-report survey. There is a possibility that students over-reported or misreported some data (e.g., SM time usage per day and the reasons for SM usage). The questionnaires used may have made the students feel discomfort, anxiety, and fear due to the questions. The fourth is the scarcity of articles about empathy, cyberbullying, cybervictimization, and characteristics of Filipino adolescents. The fifth is the reliability of the Basic Empathy Scale. This study recorded Cronbach’s α values of .67 for the total Basic Empathy Scale, .51 for the cognitive empathy subscale, and .52 for the affective empathy subscale. This is considered a low reliability score, but according to a book by Hinton et al. [ 15 ], a Cronbach’s α value ranging from .50 to .75 is accepted because it indicates moderate reliability.

Despite the limitations of this study, it still made a pertinent contribution to the study of empathy, cyberbullying, and cybervictimization.

The findings of this study shed important light on the issues of cyberbullying and cybervictimization, which could become more problematic in the COVID-19 pandemic. Empathy was not found to be negatively associated with cyberbullying. This can be explained by a lack of self-awareness, because some SM users post or send whatever they want without thinking about whether the content can harm others [ 1 ]. It is also possible that cyberbullying was viewed as a normal phenomenon, especially as SM use has increased over time. Cognitive empathy, but not affective empathy, was significantly associated with cybervictimization. It is possible for cybervictims to understand the emotions of others but still have difficulty in establishing social relationships or feeling the emotions of other people. The finding of this study that cyberbullying was significantly associated with cybervictimization is alarming. This relationship may be explained by the stress that cybervictims experience and their desire to take revenge on the perpetrators, especially since SM can be anonymously.

We expect that the findings of this study may contribute to the prevention of cyber-related problems among adolescents as it offers basic guidelines. Since adolescence can be a confusing period due to changes and transitions from childhood to adulthood, adolescents deserve special attention and guidance from people surrounding them. It is vital for parents, teachers, and even guardians to establish open and good communication with adolescents to properly guide them towards betterment. At this time, with one’s capacity to empathize, it is possible to become a bystander or a defender of a victim, for which reason we should highlight empathy in efforts to prevent and solve various types of cyber-related problems. We also suggest that as cyberbullying and cybervictimization are closely related, it is important to focus on this relationship and to make multilateral efforts to ensure that cyberbullying does not lead to other negative problems.

Acknowledgments

Conflict of interest

No existing or potential conflict of interest relevant to this article was reported.

Data availability

Please contact the corresponding author for data availability.

EDCOM 2

“High incidence of bullying in PH public schools alarming” – EDCOM 2

EDCOM 2 Communications

  • Share on Facebook
  • Share on Twitter
  • Share on LinkedIn
  • Share on WhatsApp
  • Email this Page

Latest news

‘2 weeks does not solve 6 years of learning loss’ – edcom 2 commissioner benitez, edcom 2 commissioners gatchalian, villanueva eye increase in global competitiveness, internationalization of public heis, edcom 2 hrep commissioners file concurrent resolution on creation of cabinet cluster for education.

  • EDCOM 2 urges PBBM to create cabinet cluster for education
  • “No student should be left behind” – EDCOM 2 visits BARMM to tackle education challenges

Researchers from the De La Salle University and the Second Congressional Commission on Education (EDCOM 2) today released findings of several studies on bullying in the Philippines, with the results highlighting the alarming prevalence of bullying in schools. 

In an EDCOM 2 Sub-committee Meeting on Basic Education Meeting on  Bullying and Home & School Environment held on June 13, 2024, results of a series of studies entitled “ Understanding Bullying in Philippine Education: Impacts and Opportunities for Change 1  “  were presented. 

research study about bullying in the philippines

Striking PISA 2018 and 2022 Reports

“One of the most striking findings in the Program from International Student Assessment (PISA) 2018 results was that the Philippines had the highest percentage of bullying among all participating countries and territories (OECD, 2019). This trend was replicated in the PISA 2022 assessment although the percentage was lower in this round of assessment (OECD, 2023),” says Dr. Allan B.I. Bernardo, a distinguished university professor and university fellow from DLSU. 

According to the PISA 2019, 65% of Filipino students reported being victims of any type of bullying at least a few times in a month, with 40% being bullied frequently (once a week or more). On the other hand,  the PISA 2022 reports that one out three Filipino students are being bullied in schools. This is about 43% of girls and 53% of boys in the Philippines encounter bullying incidents multiple times a month. This is much higher than the OECD average of 20% of girls, and 21% of boys. 

“International large-scale assessments show us an alarmingly high prevalence of bullying in our schools, which threatens the safety and well-being of our learners. Since we are also looking at the possibility that actual bullying incidents are underreported, we need to ensure that DepEd has strong reporting mechanisms so we can fully capture what is happening on the ground,” EDCOM 2 Co-Chairperson Senator Win Gatchalian said.

EDCOM 2 Executive Director Dr. Karol Mark Yee pointed out the discrepancy between data reported by DepEd and data released by international assessments, citing the alarmingly high incidence of bullying in the country as shown in the PISA and the SEA-PLM. “ Parang ang layo ng numbers na  collected [by DepEd], and the data collected by Trends in International Mathematics and Science Studies (TIMMS)  and PISA. Can these numbers be reconciled?”, asked EDCOM 2 Co-Chairperson Rep. Roman Romulo.

research study about bullying in the philippines

Source:  Learner Rights and Protection Office – Department of Education. Data as of June 10, 2024

DepEd clarified that there were actually reports collated annually at the Central Office coming from divisions, however these remain unverified. The data shows however that from 2013 (the year the Anti Bullying Law was passed) to 2018, the number of reported bullying cases surged from 1,158 to 20,172.

Romulo added, “The law was passed in 2013. From then, until last year,  bakit hindi na-identify  [ yung reporting issues ?].  Maliwanag naman ‘yung batas.  DepEd knew the responsibilities that they had. Why did it take this long [to implement the law]?”

Usec. Escobedo explained that the responsibility of monitoring bullying cases passed between different units in the Department through the years. He also explained that not all Child Protection Committees (CPCs) in schools were functional, and it was only recently, when they  formulated a functionality tool to assess the level of operationalization of  the CPC’s responsibilities. 

“Considering that all members of the CPCs are just designated representatives, who actually fulfills its many responsibilities day-to-day under the DepEd Order 40, series of 2012? For instance, to conduct information dissemination programs, handle referral of cases, assist parents and guardians, and coordinate with the PNP and NGOs?” asked Yee.

Under DepEd Order 40, series of 2012, CPCs are composed of the School Head as  Chairperson, the Guidance Counselor/Teacher as Vice Chairperson, as well as representatives of teachers, parents, students, and the community.

“ Kahit na matagal na ‘yung batas, sa totoo, last year lang talaga natutukan ng  DepEd, by creating an ad hoc office and by asking for personnel. So right now, we don’t actually know the depth of the problem –  ‘yung dimensions ng problema  – ng bullying.  Kasi last year lang pala naumpisahan ‘yung  Learners’ Rights Protection Office (LRPO)”, said Cong. Romulo.

Five bullying studies completed

Through the partnership between De La Salle University and the EDCOM II, five studies on bullying were published. Led by Dr. Bernardo, other scholars included Katrina F. Resurreccion, Ma. Caridad H. Tarroja, Rene M. Nob, Macario O. Cordel II, Rochelle Irene G. Lucas, Minie Rose C. Lapinid, Thomas James Tiam-Lee, Geselle Manguiat, Althea Patricia Aranillo, Jim Rey R. Baloloy, Reinier Dave Zapanta, Elaine Marie D. Aranda, Joel C. Narvaez, Rosette D. Morga, and Patricia Mae A. Taba. 

Dr. Bernardo, presenting an overview of the studies, noted that tackling bullying calls for school-wide anti-bullying approaches. “Bullying is not just one thing. We need to look at it as sustaining and supporting the whole school environment”. He stressed the need for programs ranging from education and prevention, to handling consequences of bullying for victims, perpetrators, and witnesses.

Bullying hotspots: Regions XIII and MIMAROPA, congested public schools

The DLSU study highlighted how the school structure and environment, and the level of support they get from adults can predict exposure to bullying among students. According to Nob, et.al., bullying is more prevalent in public schools with large class sizes, discriminatory teacher behavior, and lower levels of competition and discipline.  Bullying is also more widespread in public schools with a higher percentage of students coming from lower socioeconomic environments. 

One of the studies developed a digital visualization tool using data from the 2019 PISA report to map bullying hotspots in the country. According to the findings of Cordel, et.al, Regions XIII and IV-B MIMAROPA were identified to have the highest incidence of bullying, followed by Regions XII, V, and I. 

Findings of Baloloy et,al., revealed that Filipinos who are bullied often deal with mental health concerns like depression and anxiety, and experience both traditional physical bullying, and relational cyberbullying. Other factors influencing bullying include psychosocial issues and the learner’s environment, such as school safety, relationships with their parents, and their prevailing attitudes towards bullying.

Amend IRR of Anti Bullying Act of 2013, pass mental health bills

The DLSU team recommended for EDCOM to push for amendments to the Implementing Rules and Regulations of Republic Act 10627, strengthening the provisions related to the Child Protection Committee (CPC), improving systems for reporting bullying cases, and clarifying DepEd’s structures and systems related to bullying.

During the hearing, the EDCOM decided to establish a joint Technical Working Group composed of the members of the EDCOM 2 Standing Committee on Basic Education, together with DepEd, to review the IRR of RA 10627, and to propose reforms to make the policy implementable.

“Let’s not disappoint – because  madami na talagang  good plans, but hindi talaga na-iimplement, and we end up disappointing our teachers, our students, and the DepEd family itself. So let’s do our part. Let’s make it work, so we don’t disappoint our parents, teachers, and our learners. We have good plans, but we couldn’t implement them”, said Rep. Romulo. 

Download the full report of “Understanding Bullying in Philippine Education: Impacts and Opportunities for Change” at  https://edcom2.gov.ph/publications/  

‘2 weeks does not solve 6 years of learning loss’ – EDCOM 2 Commissioner Benitez

During a field visit to a public high school in Metro Manila, the Second Congressional Commission on Education (EDCOM 2) expressed its concerns over the implementation of the National Learning Camp (NLC) of the Department of Education (DepEd),  as it seems to fail to achieve its intended outcomes.  EDCOM 2 led by its Co-Chairperson Senator Sherwin…

EDCOM 2 Commissioners Gatchalian, Villanueva eye increase in global competitiveness, internationalization of public HEIs

The Second Congressional Committee on Education (EDCOM 2) Co-Chairperson Senator Sherwin Gatchalian and Commissioner Senator Joel Villanueva filed Senate Bill No. 2733 yesterday, An Act Amending Section 5 (3) of Republic Act No. 9225, Otherwise Known as the “Citizens Retention and Re-acquisition Act of 2003”.  SBN 2733 intends to increase the global competitiveness and promote…

EDCOM 2 HRep Commissioners file concurrent resolution on creation of cabinet cluster for education

Commissioners of the Second Congressional Commission on Education (EDCOM 2) at the House of Representatives filed yesterday, July 16,  House Concurrent Resolution No. 28 urging President Marcos to create a cabinet cluster for education.  Introduced by EDCOM 2 Commissioners Rep. Roman T. Romulo, Rep. Mark O. Go, Rep. Jose Francisco B. Benitez, Rep Khalid Q. Dimaporo and Rep Pablo…

Get updates on the latest news, publications, and more, straight to your inbox!

Email Address*

By answering this form, you acknowledge that you have read, understood, and agree to our Privacy Policy .

  •    Home

orcid

This research looked into prevalence rate of bullying victimization and perpetration as well as teachers’ response to bullying incidence in the Philippines. A total of 340 sixth graders from five different schools in Western Visayas participated in the study. Slightly more than half (54.1%) of the sample were boys and 45.9% were girls. Descriptive statistics were used to analyze data gathered from the survey. Children’s self-reports revealed that prevalence rate for victimization was 40.6% and that for perpetration was 23.8%. Similar to previous literature, results also showed that there were significantly more boys than girls who reported to be victims ( χ 2 (1, N = 340) = 4.26, p = 0.039) and bullies ( χ 2 (1, N = 340) = 4.35, p = 0.037). Regardless of gender, verbal bullying came out as the most common type of bullying children experienced as a victim and bully. Teachers’ response to bullying was all in line with direct sanctions, i.e. verbal reprimands, temporary removal from class, withdrawal of privileges, and suspension, which were imposed on individuals involved in bullying as bullies. Although all teachers and school personnel were required to report bullying cases they had knowledge of to the child protection committee in their institution, very few did so. These findings suggest the need for a more effective bullying prevention program and a careful examination of the implementing rules and guidelines of RA 10627, otherwise known as the Anti-Bullying Act of 2013.

Filipino Children , School Bullying , Direct Sanctions , Anti-Bullying Act of 2013

Share and Cite:

1. Introduction

Although aggression is one of the elements of bullying, not all violence or aggressive actions in school can fall under this category. For bullying to occur, Olweus (1993) mentioned that a student must be repeatedly exposed to negative behavior of his/her peers. Moreover, the perpetrator must have a deliberate intention to harm the victim and the latter should have limited power to fight back (Nansel et al., 2001; Olweus, 1993) . Without the power imbalance between the aggressor and the victim as well as regularity of the aggressive act, a negative action done by one child to another cannot be considered as bullying; rather, it will fall under violence or aggression (Olweus, 1993) .

Bullying is categorized into four types, namely: physical, verbal, cyber, and relational. Physical bullying includes all forms of physical harm done on the victim such as kicking, shoving, punching, and the like. Verbal bullying is usually in the form of derogatory remarks or insults hurled at the target. This may include but not limited to name-calling, taunting, teasing in a hurtful way, and making fun of the individual (Berger, 2007; Wang, Iannotti, & Nansel, 2009) . Relational bullying involves social seclusion. It may be done in the form of spreading rumors and lies about the victim in order to make others avoid socializing with him/her (Wang et al., 2009) . Cyberbullying, on the other hand, occurs electronically, and has proven to be more damaging because it often relates to victims’ depressive state, delinquent behavior and substance abuse (Mitchell, Ybarra, & Finkelhor, 2007) as well as suicidal thoughts and suicide attempts (Hinduja & Patchin, 2010) .

In Asia-Pacific, the most common type of school bullying was verbal, e.g., “being made fun of” or “being called names” (Chen, 2015; Lai, Ye, & Chang, 2008) . A similar study in South America also found verbal bullying as the most pervasive school bullying experience of youngsters (Silva, Pereira, Mendonca, Nunes, & de Oliveira, 2013) . However, in Egypt and Ghana, physical assaults were the most common form of bullying among students (Wilson, Dunlavy, & Berchtold, 2013) . The same was true for Singaporean children in one study (Kwan & Skoric, 2012) . Cyberbullying, though becoming controversial recently with a number of youth suicides, was said to be less prevalent than that of traditional or face-to-face bullying (Chen, 2015; Gofin & Avitrzour, 2012; Lapidot-Lefler & Dolev-Cohen, 2015; Modecki, Minchin, Harbaugh, Guerra, & Runions, 2014) .

As to involvement in school bullying, high rate of victimization of at least 40% was often reported by African countries (Kubwalo, Muula, Siziya, Pasupulati, & Rudatsikira, 2013; Owusu, Hart, Oliver, & Kang, 2011; Siziya, Rudatsikira, & Muula, 2013) . In the Philippines, two studies conducted by foreign researchers in 2008 showed different results. In one study, the prevalence rate was 35.5% (Rudatsikira, Mataya, Siziya, & Muula, 2008) while in another it was 85.5% (Lai et al., 2008) . However, in a research conducted by Fleming and Jacobsen (2009) involving 19 low and middle income countries in which Philippines was included, prevalence rate in the country was only 37.1%, or a lot closer to that found by Rudatsikira et al. (2008) . As to cyberbullying, Australia showed to have a high number of incidence rate in the youngsters’ lifetime at 27% (Cross et al., 2012) , Japan at 18% (Aoyama, Utsumi, & Hasegawa, 2012) , the US at 17% (Bauman, 2012) , and South Korea at 12% (Tippett & Kawk, 2012) . Respondents for these studies ranged from grade 5 to 11. It should be noted that these are just glimpses of the pervasiveness of bullying in the countries mentioned and may not be true for the whole nation.

Bullying research has also shown that victimization was found to be higher than perpetration. For example, in one study in Romania which used self-re- ports, it was found out that 40.5% of 264 students surveyed indicated that they were victims of school bullying and only 33.8% admitted that they had bullied others (Belden-Galea, Jurcau, & Tigan, 2010) . The same was true for sampled students in Turkey (Arslan, Hallett, Akkas, & Akkas, 2012; Tayli, 2013) .

With regard to gender differences in school bullying experience, several studies have shown that boys were more involved as perpetrators and victims than do girls (Berger, 2007; Caravita, Gini, & Pozzoli, 2012; Cosma & Baban, 2013; Jansen et al., 2012; Khamis, 2015; Siann, Callaghan, Glissov, Lockhart, & Rawson, 2006; Silva et al., 2013; Tayli, 2013; Wang et al., 2009; Wu et al., 2015) and were more likely to be victims of direct form of bullying such as physical fights (Cheng et al., 2010; Jansen et al., 2012; Lai et al., 2008; Shujja et al., 2014; Silva et al., 2013; Uwusu et al., 2011) while girls were more likely to experience relational bullying (Cheng et al., 2010; Silva et al., 2013) .

As to gender and frequency of victimization, results were mixed. On the one hand, research has shown that boys and girls did not differ significantly in the frequency of victimization (Malecki et al., 2015) , but on the other hand, it revealed that boys have higher self-reported frequency of being bullied than do girls (Chen, 2015; Fleming & Jacobsen, 2009; Nansel et al., 2001) .

With regard to intervention programs that could help reduce the prevalence rate of bullying in schools, involving the community, family (Mann, Kristiansson, Sigfusdottir, & Smith, 2015) , especially parents (Jones & Augustine, 2015; Lester et al., 2017) , students (Cross et al., 2011; Jones & Augustine, 2015) and teachers (Duy, 2013) reduced the odds of young people engaging in bullying behavior. In another study, arousing the bullies’ empathy for their victims and condemning their actions proved to be effective in increasing their intention to stop their aggressive behavior (Garandeau, Vartio, Poskiparta, & Salmivalli, 2016) . However, Ken Rigby, a school bullying expert, had found in his study that the most commonly used intervention methods in schools were direct sanctions or “the imposition of disciplinary sanctions on the person or persons identified as responsible for the bullying” (Rigby, 2014: p. 409) . These direct sanctions include verbal reprimands, temporary removal from class, and withdrawal of privileges, among others, which were imposed on individuals involved in bullying others (Rigby, 2014) . He said that these may deter bullies to perpetuate the act but only temporarily. In addition, he also suggested that this kind of response is only reactive and it does little to prevent students from engaging in bullying behavior in the future.

In the Philippines, with the passing of Republic Act (RA) 10627, otherwise known as the Anti-bullying Law of 2013, schools are required to establish their own anti-bullying programs which includes the formation of a committee who would ensure the protection of children against abuses from their peers as well as adults, formulation of awareness programs to increase students’ knowledge of bullying, and provision of counseling programs for both bullies and victims. Educators, school personnel, and students are also encouraged to report school bullying they have witnessed to proper channels.

This study was conducted to find out the prevalence rate of the different forms of school bullying among the sixth graders in selected schools in Western Visayas; feelings of victims and bullies after the act; proportion of males and females who engaged in school bullying as a victim and perpetrator, and; teachers’ response to bullying cases they have witnessed. It is hoped that this research could be of help, especially to Filipino educators and policy makers in formulating effective bullying programs in schools.

2.1. Participants

A total of 340 sixth graders from five different public schools in Western Visayas, which is located in central Philippines participated in the study. They were chosen using cluster sampling. Each cluster consisted of students in one grade six class. On the average there were six classes (or clusters) per school. In a school with only five grade six classes, two were chosen and those with six-seven, three classes. This sampling technique was used for ease of data gathering and to minimize disruption in the normal activities of the children.

The average age for participants during data gathering was 12.1. Slightly more than half (54.1%, n = 184) of the sample were boys and 45.9% (n = 156) were girls. The number of respondents per school and gender distribution were proportional to the total population of their sixth graders.

The total sample size was approximately 30% of the entire grade six populations in the selected five schools. In determining how many will be selected from each school, 30% of the total population of grade six pupils was first computed. Then, the total number of sixth graders per school was divided by the total grade six population of the five schools multiplied by 100 (to get the percentage). So if one school’s total sixth graders was 28% of the entire grade six population in all five schools, they also contributed 28% to the total sample. This is to avoid over- representing one school while under representing another.

2.2. Research Instrument

The questionnaire used for this research was constructed by the author. This is to ensure that questions included are appropriate to the Philippine context. It consisted of an open-ended and multiple-choice items which were all expressed in the participants’ mother tongue. Questions on gauging respondents’ experience on bullying were based on Olweus’ (1993) definition of the phenomenon. This includes questions such as: 1) Did you initiate a fight with other children in the last six months? If yes, how often in a week? 2) How do you fight with him/her? How often do you do this in a week? 3) Who do you always fight with? 4) Are your victims capable of fighting back with you?

The follow-up question for item #1 was meant to find out whether participants initiate the fight on a regular basis. If they do, it would satisfy the first criterion for an act to be considered as bullying: regularity of the aggressive behavior. This question was also the basis for determining the frequency of fights or bullying. The second question was included to find out the type of aggressive acts or bullying they usually do with their peers. The third question was meant to find out who they usually victimize―are the victims younger, older, of the same age, male, or female, among others. The third and fourth questions were very important because they could determine whether there was a power imbalance between the bully and victim, a very important component of bullying.

Questions aimed at identifying the victim were also included. They were similar to the one aforementioned, but instead of asking questions like, “Did you initiate a fight with other children in the last six months?” it was rephrased as, “Did other children initiate a fight with you in the last six months?” In addition, instead of asking them, “Who do you always fight with?” it was posed as, “Who usually initiates a fight with you?” Other questions include: “Are the children who initiate a fight with you those you can easily fight back?”

The children were also asked motives or reasons for bullying other children, how they feel after engaging in bullying or fights as an initiator of the behavior or as a victim and what their teachers do after witnessing the event.

The said questionnaire was pretested among children of similar age and educational level in the same area a few months before the study was conducted. This pretest was done to find out whether the items were aptly phrased in the participants’ mother tongue or not. The pretest showed that questions were well-understood by local children.

2.3. Procedure

This study was conducted during the first quarter of 2014. All public elementary schools located in each of the town proper of a selected semi-urban district in Western Visayas were included in the current research. The target participants were grade six pupils and they were recruited through their school heads. The survey was conducted during the children’s recess so as not to disrupt their classes.

In lieu of a research ethics committee which was yet to be established in the district where the study was conducted, the principals or head of schools selected for the survey were the ones who reviewed the nature of the research. A letter, which detailed the purpose of the study, survey procedure, and students’ participation was submitted to each of the school principals for review. A copy of the questionnaire in the respondents’ dialect was also attached with the letter to enable principals concerned to get a clear understanding of what will be asked from their students. After a week’s deliberation with their teachers in the sixth grade and representatives of the parent-teacher association, all of them granted permission to the author/researcher to conduct the survey in their institutions. Although the study was approved by school authorities concerned, participants’ assent was still solicited. They were informed of the nature of the study, their participation in it, and how their responses will be used and analyzed. They were also told that although their schools agreed for them to participate, they still have the right to withdraw participation should they feel uncomfortable with the questions in the survey questionnaire. None of them withdrew.

2.4. Data Analysis

Cross tabulations were done to determine the number of male and female victims and perpetrators of school bullying while chi-square analysis was used to find out whether there was a significant difference between the number of boys and girls who reported to be bullies or victims. Frequencies and percentages were also used to describe the data.

3.1. Prevalence of Bullying

Children’s self-reports revealed that there were more of them who indicated they were victims of school bullying (40.6%, n = 138) than those who admitted they were the perpetrators (23.8%, n = 81). Of the 138 participants who were victimized, 84 (60.9%) were males and 54 (39.1%) were females. As to the bullies, the majority were also boys (64.2%, n = 52). Chi-square analysis showed that indeed there were significantly more boys than girls who were victims (χ 2 (1, N = 340) = 4.26, p = 0.039) and bullies (χ 2 (1, N = 340) = 4.35, p = 0.037).

The majority of female victims (74.1%, n = 40) experienced bullying from both sexes, while only 41.7% (n = 35) for male victims. But when it comes to being bullied by the same sex, more than half of the boys (56.0%, n = 47) and only 14.8% (n = 8) of the girls indicated that they had experienced such type of victimization.

When bullies were asked as to who they usually torment in school, 53.8% (n = 28) of the boys reported that their victims came from both sexes. But there were 40.4% (n = 21) of them who bullied only boys and 5.8% (n = 3) only girls. For the female bullies, most of them (65.5%, n = 19) indicated that their victims were either their fellow girls or boys. Only 17.2% (n = 5) of them victimized just boys or just girls.

3.2. Types of School Bullying Done by Bullies

Prevalence rates for bullying types done by perpetrators are presented in Table 1 . As shown in this table, all four types of school bullying, namely: verbal, physical, cyber, and relational were done by bullies in the current study. Verbal bullying topped the list at 60.5% (n = 49). This included threatening their victims, calling them names, saying hurtful words to them, and taunting them because of

Table 1 . Forms of bullying done by bullies.

their names, looks, or smell. Even when respondents were categorized by gender, verbal bullying still emerged as the most prevalent form of bullying done by both male (63.5%, n = 33) and female (55.2%, n = 16) bullies (see Table 1 ). Table 1 also shows that there were more boys than girls (n = 9 vs. n = 1) who used physical bullying to torment their peers. Surprisingly, relational bullying (1%, n = 3) came out as the least prevalent even by female bullies. Boys reported to have never done it at all.

3.3. Types of School Bullying Experienced by Victims

Table 2 shows the prevalence rate for victimization. As shown in the table, verbal bullying also came out as the most frequent type experienced by victims regardless of gender. The pattern of responses is comparable to that of the bullies’ experience, with relational form being exclusively experienced by girls.

A chi-square test was not performed for this bullying and victimization data because there were many cells which contained a frequency count lower than five, a criterion which should be met to obtain a reliable result.

3.4. Frequency of Bullying Behavior

In this section, only the top three categories were discussed. The total frequencies for victimization was 138, while for bullying 84.

Slightly more than half (55.8%, n = 77) of the victims indicated that they were bullied less than once a week. Even when boys’ and girls’ responses were segregated, this still emerged as the most common frequency of bullying experience. Only around 15.2% (n = 21) were victimized every day, closely followed by twice a week at 14.5% (n = 20).

This pattern was also reflected in the bullying behavior of bullies. The majority of them (58.0%, n = 47) also indicated that they torment their victims less than once a week, about 17.3% (n = 14) bullied their peers twice a week, followed by every day at 14.8% (n = 12). This was true for both male and female bullies.

Table 2 . Forms of bullying experienced by victims.

3.5. Why Bullies Bully Other Children

Bullies reported several reasons why they bully other children ( Figure 1 ). The most common of which was retaliation or getting even (44%). Aside from retaliation, just for fun also got a double figure (33%). Other reasons had something to do with the physical attribute of the victim (i.e. smells bad or ugly).

3.6. Feeling of Bullies after Bullying Others

Although retaliation came out as the most frequent reason for bullying other children, only a few number of participants (13%) felt good for hurting their peers. As shown in Figure 2 , “feeling sorry” came out as the most common reaction to bullying others. This was followed by “feeling guilty” (29%) and “scared” (27%). However, these did not stop them from repeating what they had been doing as shown in the prevalence rate of bullying in the selected areas.

3.7. Feeling of Victims after Being Bullied

When victims were asked to indicate what they felt after being bullied, the majority indicated negative reactions such as anger, sadness, felt like crying, and embarrassment with anger (30%) as the topmost reaction ( Figure 3 ). A few of them (8%) reported that they didn’t feel anything at all.

3.8. Teachers/Class Advisers’ Response to Bullying

According to the majority (78%) of the participants, the most common reaction of teachers to bullying incidence they have witnessed was stopping the act immediately and resolving the matter right there and then. This means teachers would ask students involved to say sorry to each other, reprimand or give sanctions to bullies, and make sure both bullies and victims become “friends”. These reprimands were usually verbal in nature which included scolding the bullies or threatening to report them to their parents, guidance office, or the school’s principal. Other sanctions were withdrawal of privileges, e.g. not allowing them to have a recess, temporary suspension from classes, or in worst case scenarios being kicked out of school. The latter sanction is only applied after all the alternatives have been exhausted and are proven to be ineffective to solve the problem.

Figure 1 . Why bullies bully other kids.

Figure 2 . Feeling of bullies after bullying other children.

Figure 3 . Feeling of victims after being bullied

Although teachers or school personnel are expected to report the bullying incidence they have witnessed personally to the committee of child protection to which the guidance counselor is a member, only few did so according to participants. In fact, there were only 9% of respondents who indicated this type of response to bullying from their teachers or class advisers. About the same number (10%) said that their teachers informed parents of children involved in the bullying incident. The remaining three percent (3%) of participants indicated that their educators have done nothing about the bullying case they have witnessed.

4. Discussion

The results have shown that 40.6% or roughly four out of 10 Filipino children experienced bullying from their peers. This prevalence rate is comparable to two studies done in the Philippines (Jacobsen & Fleming, 2009; Rudatsikira et al., 2008) but a lot different from that reported by Lai et al. (2008) . The discrepancy in prevalence rate of the four studies could be attributed to the time range by which bullying involvement was measured. For example, in Lai et al. (2008) , participants were asked to report their lifetime experience in bullying, whereas in the other three including the current study, it was only within a year.

When compared to prevalence rate of victimization in studies in other countries, it was either a lot higher (Shujja et al., 2014; Wu, et al., 2015) , lower (Siziya et al., 2012; Wang et al., 2009) or just at par (Kubwalo et al., 2013; Owusu et al., 2011) .

When respondents’ experiences were examined according to gender, it was revealed that there were significantly more Filipino boys who reported to be victims and bullies as compared to girls. This result is consistent with several studies (Berger, 2007; Caravita et al., 2012; Cosma & Baban, 2013; Jansen et al., 2012; Khamis, 2015; Siann et al., 2006; Silva et al., 2013; Tayli, 2013; Wang et al., 2009; Wu et al., 2015) . In addition, the study also supports previous literature that says boys were more victimized by their fellow boys than girls being victimized by girls (Shujja et al., 2014) .

As to the most common form of bullying experienced by both perpetrators and victims, current results were similar to that found by Lai et al. (2008) and Silva et al. (2013) which showed verbal bullying as the most frequent form experienced by young respondents but differed from that found by Wilson et al. (2013) and Kwan and Skoric (2012) . Though other countries such as Australia (Cross et al., 2012) , Japan (Aoyama et al., 2012) , the US (Bauman, 2012) , and South Korea (Tippett & Kawk, 2012) showed double figures in cyberbullying rate, respondents in this study identified such form of peer abuse as the least common they experienced as bullies and victims as shown by a barely seven per cent prevalence rate. This difference could be due to age of respondents and access to electronics and the Internet. Participants in the abovementioned studies were adolescents in affluent nations who may have their own electronic devices equipped with Wi-Fi connection, whereas participants in the current research were 12-year olds, most of whom had no cell phones or computers of their own. In addition, the result of this study showing cyberbullying prevalence rate to be a lot lesser than that of traditional bullying was also consistent with findings from existing literature (Gofin & Avitzour, 2012; Lapidot-Lefler & Dolev-Cohen, 2015; Modecki et al., 2014) .

With regard to the frequency of bullying behavior, the result showing that boys and girls alike showed similar frequency of victimization supports previous African study (Malecki et al., 2015) , but contradicts that done by Chen (2015) and Nansel et al. (2001) . In addition, the current research was also consistent with that done in Romania (Belden-Galea et al., 2010) and Turkey (Arslan et al., 2012; Tayli, 2013) that argued the incidence of victimization was higher than that of perpetration.

What’s new about this study was the fact that not all bullies had the intention to harm their victims. Some bullies said they were just teasing their victims in a ‘friendly way’; however, this got out of hand and their victims were emotionally hurt or humiliated in the process. This is especially true for those who were making fun of their classmates because of the latter’s funny name, physical defect, or peculiar characteristics. Although in Olweus’ (1993) definition this type of behavior cannot be considered as bullying, it was identified as such in this study because according to RA 10627 any act done by one student to another that causes emotional harm or infringes on the rights of another student at school is considered as school bullying. Teachers in five selected schools also use this definition together with that of Olweus’ (1993) in determining whether their students engage in bullying behavior or not.

As expected, victims reacted negatively to being bullied with the majority reported feeling angry towards their bullies. This anger could have motivated some to get back at their aggressor when they got an opportunity because Figure 1 shows retaliation as the most common motivation of bullies, who used to be victims, in hurting their targets. Although the majority reacted negatively to being bullied, a few others reported to have felt nothing about their experience. This may have something to do with how severe they perceived their experience was. It may be that those who felt nothing were those who had a mild form of victimization. For future research, looking into the relationship between victims’ perception of their bullying experience and how they feel after being bullied could provide valuable insights on how to help them effectively.

As to teachers’ response to bullying, it showed that they were more in line with direct sanctions (Rigby, 2014) . Based on participants’ reports, the focus of the intervention was the bullies as they were the ones who were reprimanded and threatened to be reported to their parents, guidance counselor, and principal. The victim seemed to be left out. It also implied that teachers’ reactions were more in line with short-term intervention strategies which Rigby (2014) thought to have no significant impact on future behavior. Although RA 10627 required these educators to bring the bully and victim to the guidance counselor or the child protection committee for proper handling of the case, very few of them did more than stopping the act and reprimanding students involved. This seemingly inadequate response of educators with regard to school bullying incidence they had witnessed may be attributed to their schools’ lack of established school bullying programs or lack of proper training in responding to such problem. Inasmuch as the study was conducted a few months after the implementation of the Anti-Bullying Act of 2013, it was somehow understandable that many schools have not yet established their own comprehensive anti-bullying intervention strategies during the data gathering period.

Research on intervention strategies (Cross et al., 2011; Duy, 2013; Garandeau et al., 2016; Jones & Augustine, 2015; Lester et al., 2017; Man et al., 2015) recommended a number of ways on how to help minimize the bullying incidence in schools. These include involving the family especially the parents, community, students, teachers, and non-teaching school personnel in the preventative programs. Based on participants’ reports in the current study, these strategies seemed to be not exhausted yet.

5. Conclusion

The results showed that school bullying was prevalent among children in selected schools in the Philippines. There was also evidence that there were more boys than girls who had experienced bullying both as a perpetrator and victim. However, when it comes to the frequency of victimization they did not show any significant difference between male and female participants. The study also revealed that verbal bullying and victimization was the common form experienced by the children. Their report also indicated that teachers’ responses to bullying were mainly short-term intervention. Very few of them go beyond direct sanctions.

6. Limitations

The data relied primarily on participants’ self-reports. As is often the problem with self-reports, there is always a tendency for respondents to withhold information or to respond in a biased way. Even when they try to respond as honestly as possible, there may still be instances when some of them would overestimate the occurrence of bullying when they see themselves as victims and underestimate those incidences when they are the bullies. However, given the limited time and resources, surveys employing self-reports was the most appropriate method for this study. In addition, school authorities in the area allowed only this type of data gathering method to be used with their students. Overt observation in the schools’ premises was not authorized because the school heads felt it would disrupt the normal activities of their students.

7. Recommendations

Given the result of the current study, it is imperative for each school to train their teaching and non-teaching staff to properly identify students involved in bullying as well as teach them how to respond to such problem. Merely stopping the act when it occurs or using direct sanctions on children concerned may not be effective in the long run. Educators also need to address the root cause of bullying by talking with the bullies and victims alike or reporting them to their counselors for proper guidance. Schools also need to design programs which could help both bullies and victims and not just focus on one of them.

With regard to other stakeholders on the issue such as parents and community, schools could greatly benefit if these people are also actively participating in the formulation of preventative programs for school bullying. At present, parents’ role or responsibilities in the prevention of peer abuse were not clearly stated in the Child Protection Policy and in the Implementing Rules and Regulations (IRR) of RA 10627. Although the Anti-bullying Law and the Child Protection Policy were clear about punishments for bullies, there was no corresponding clear-cut accountability for their parents or guardians. Unless parents or guardians are made answerable to the actions of their children, they will not actively participate in school bullying programs, especially if the victims are not their children. It may also be beneficial to all educational institutions in the country to solicit help from the community such as village leaders and elders, parish priests, or catechism teachers. Since Philippines is a catholic country, children look up to religious leaders and elders.

Last but not least, students should also be involved in all these to make them fully aware of their rights as well as that of their peers. By increasing their awareness and actively involving them in the formulation of anti-bullying programs, they may also learn how to protect themselves from abuses of fellow children. In addition, asking the help of popular students especially in influencing bullies to stop their aggressive behavior may also be effective inasmuch as young people listen to their influential peers.

Declaration of Conflicting Interests

The author declared that there is no potential conflict of interests as to the authorship and publication of this research article.

Acknowledgements

The author would like to thank all the principals of the schools and class advisers of students who participated in the study for their time and cooperation during data gathering.

Conflicts of Interest

The authors declare no conflicts of interest.

[ ] Aoyama, I., Utsumi, S., & Hasegawa, M. (2012). Cyberbullying in Japan. In Q. Li, D. Cross, & P. K. Smith (Eds.), Cyberbullying in the Global Playground: Research from International Perspective (pp. 183-201). New York: Wiley-Blackwell.
[ ] Arslan, S., Hallett, V., Akkas, E., & Akkas, O. A. (2012). Bullying and Victimization among Turkish Children and Adolescents: Examining Prevalence and Associated Health Symptoms. European Journal of Pediatrics, 171, 1549-1557.
https://doi.org/10.1007/s00431-012-1782-9
[ ] Bauman, S. (2012). Cyberbullying in the United States. In Q. Li, D. Cross, & P. K. Smith (Eds.), Cyberbullying in the Global Playground: Research from International Perspective (pp. 143-179). New York: Wiley-Blackwell.
https://doi.org/10.1002/9781119954484.ch8
[ ] Belden-Galea, I. E., Jurcau, N., & Tigan, S. I. (2010). Frequency of Bullying Behaviors in Secondary Schools in Cluj-Napoca. Applied Medical Informatics, 27, 62-66.
[ ] Berger, K. S. (2007). Update on Bullying at School: Science Forgotten? Developmental Review, 27, 90-126.
https://doi.org/10.1016/j.dr.2006.08.002
[ ] Caravita, S. C. S., Gini, G., & Pozzoli, T. (2012). Main and Moderated Effects of Moral Cognition and Status on Bullying and Defending. Aggressive Behavior, 38, 456-468.
https://doi.org/10.1002/ab.21447
[ ] Chen, L. M. (2015). Self-Reported Frequency and Perceived Severity of Being Bullied among Elementary School Students. Journal of School Health, 85, 587-594.
https://doi.org/10.1111/josh.12289
[ ] Cheng, Y., Newman, I. M., Qu, M., Mbulo, L., Chai, Y., Chen, Y., & Shell, D. F. (2010). Being Bullied and Psychological Adjustment among Middle School Students in China. Journal of School Health, 80, 193-199.
https://doi.org/10.1111/j.1746-1561.2009.00486.x
[ ] Cosma, A., & Baban, A. (2013). The Associations between Bullying Behaviors and Health Outcomes among Romanian School Children. Cognition, Brain, Behavior, 17, 263-276.
[ ] Cross, D., Monks, H., Hall, M., Shaw, T., Pintabona, Y., Erceg, E., & Lester, L. (2011). Three-year Results of the Friendly Schools Whole-of-School Intervention on Children’s Bullying Behavior. British Educational Research Journal, 37, 105-129.
https://doi.org/10.1080/01411920903420024
[ ] Cross, D., Shaw, T., Epstein, M., Monks, F., Dooley, J., & Hearn, L. (2012). Cyberbullying in Australia: Is School Context Related to School Bullying Behavior? In Q. Li, D. Cross, & P. K. Smith (Eds.), Cyberbullying in the Global Playground: Research from International Perspective (pp. 75-98). New York: Wiley-Blackwell.
https://doi.org/10.1002/9781119954484.ch5
[ ] Duy, B. (2013). Teachers’ Attitudes toward Different Types of Bullying Victimization. Psychology in the Schools, 50, 987-1002.
https://doi.org/10.1002/pits.21729
[ ] Fleming, L. C., & Jacobsen, K. H. (2009). Bullying among Middle-School Students in Low and Middle Income Countries. Health Promotion International, 25, 73-74.
https://doi.org/10.1093/heapro/dap046
[ ] Garandeau, C. F., Vartio, A., Poskiparta, E., & Salmivalli, C. (2016). School Bullies’ Intention to Change Behavior following Teacher Interventions: Effects of Empathy Arousal, Condemning of Bullying, and Blaming of the Perpetrator. Prevention Science, 17, 1034-1043.
https://doi.org/10.1007/s11121-016-0712-x
[ ] Gofin, R., & Avitzour, M. (2012). Traditional versus Internet Bullying in Junior High School Students. Maternal and Child Health Journal, 16, 1625-1635.
https://doi.org/10.1007/s10995-012-0989-8
[ ] Hinduja, S., & Patchin, J. W. (2010). Bullying, Cyberbullying, and Suicide. Archives of Suicide Research, 14, 206-221.
https://doi.org/10.1080/13811118.2010.494133
[ ] Jansen, P. W., Verlinden, M., Berkel, A. D., Mieloo, C., van der Ende, J., Veenstra, R. et al. (2012). Prevalence of Bullying and Victimization among Children in Early Elementary School: Do Family and School Neighborhood, Socioeconomic Status Matter? BioMed Central Public Health, 12, 494.
https://doi.org/10.1186/1471-2458-12-494
[ ] Jones, J. R., & Augustine, S. M. (2015). Creating an Anti-Bullying Culture in Secondary Schools: Characteristics to Consider When Constructing Appropriate Anti-Bullying Programs. American Secondary Education, 43, 73-84.
[ ] Khamis, V. (2015). Bullying among School-Age Children in the Greater Beirut Area: Risk and Protective Factors. Child Abuse & Neglect, 39, 137-146.
https://doi.org/10.1016/j.chiabu.2014.08.005
[ ] Kubwalo, H. W., Muula, A. S., Siziya, S., Pasupulati, S., & Rudatsikira, E. (2013). Prevalence and Correlates of Being Bullied among In-School Adolescents in Malawi: Results from the 2009 Global School-Based Health Survey. Malawi Medical Journal, 25, 12-14.
[ ] Kwan, G. C. E., & Skoric, M. M. (2012). Facebook Bullying: An Extension of Battles in School. Computers in Human Behavior, 29, 16-25.
https://doi.org/10.1016/j.chb.2012.07.014
[ ] Lai, S., Ye, R., & Chang, K. (2008). Bullying in Middle Schools: An Asian-Pacific Regional Study. Asia Pacific Education Review, 9, 503-515.
https://doi.org/10.1007/BF03025666
[ ] Lapidot-Lefler, N., & Dolev-Cohen, M. (2015). Comparing Cyberbullying and School Bullying among School Students: Prevalence, Gender, and Grade Level Differences. Social Psychology of Education, 18, 1-16.
https://doi.org/10.1007/s11218-014-9280-8
[ ] Lester, L., Pearce, N., Waters, S., Barnes, A., Beatty, S., & Cross, D. (2017). Family Involvement in a Whole-School Intervention: Mothers’ and Fathers’ Communication and Influence with Children. Journal of Child and Family Studies, 26, 2716-2727.
https://doi.org/10.1007/s10826-017-0793-6
[ ] Malecki, C. K., Demaray, M. C., Coyle, S., Geosling, R., Rueger, S. Y., & Becker, L. D. (2015). Frequency, Power Differential, and Intentionality and the Relationship to Anxiety, Depression, and Self-Esteem for Victims of Bullying. Child & Youth Care Forum, 44, 115-131.
https://doi.org/10.1007/s10566-014-9273-y
[ ] Mann, M. J., Kristiansson, A. L., Sigfusdottir, I. D., & Smith, M. L. (2015). The Role of Community, Family, Peer, and Social Factors in Group Bullying: Implications for School-Based Intervention. Journal of School Health, 85, 477-486.
https://doi.org/10.1111/josh.12270
[ ] Mitchell, K. J., Ybarra, M., & Finkelhor, D. (2007). The Relative Importance of Online Victimization in Understanding Depression, Delinquency, and Substance Abuse. Child Maltreatment, 12, 314-324.
https://doi.org/10.1177/1077559507305996
[ ] Modecki, K. L., Minchin, J., Harbaugh, A. G., Guerra, N. G., & Runions, K. C. (2014). Bullying Prevalence across Contexts: A Meta-Analysis Measuring Cyber and Traditional Bullying. Journal of Adolescent Health, 55, 602-611.
https://doi.org/10.1016/j.jadohealth.2014.06.007
[ ] Nansel, T. R., Overpeck, M., Pilla, R. S., Ruan, W. J., Simons-Morton, B., & Scheidt, P. (2001). Bullying Behaviors among US Youth: Prevalence and Association with Psychosocial Adjustment. Journal of the American Medical Association, 285, 2094-2100.
https://doi.org/10.1001/jama.285.16.2094
[ ] Olweus, D. (1993). Understanding Children’s World: Bullying at School. Malden, MA: Blackwell Publishing.
[ ] Owusu, A., Hart, P., Oliver, B., & Kang, M. (2011). The Association between Bullying and Psychological Health among Senior High School Students in Ghana, West Africa. Journal of School Health, 81, 231-238.
https://doi.org/10.1111/j.1746-1561.2011.00590.x
[ ] Rigby, K. (2014). How Teachers Address Cases of Bullying in Schools: A Comparison of Five Reactive Approaches. Educational Psychology in Practice, 30, 409-419.
https://doi.org/10.1080/02667363.2014.949629
[ ] Rudatsikira, E., Mataya, R. H., Siziya, S., & Muula, A. S. (2008). Association between Bullying Victimization and Physical Fighting among Filipino Adolescents: Results from the Global School-Based Survey. Indian Journal of Pediatrics, 75, 1243-1247.
https://doi.org/10.1007/s12098-008-0244-x
[ ] Shujja, S., Atta, M., & Shujjat, J. M. (2014). Prevalence of Bullying and Victimization among Sixth Graders with Reference to Gender, Socio-Economic Status, and Type of Schools. Journal of Social Science, 38, 159-165.
https://doi.org/10.1080/09718923.2014.11893246
[ ] Siann, G., Callaghan, M., Glissov, P., Lockhart, R., & Rawson, L. (2006). Who Gets Bullied? The Effect of School, Gender, and Ethnic Group. Journal of Educational Research, 36, 123-134.
https://doi.org/10.1080/0013188940360202
[ ] Silva, M. A. I., Pereira, B., Mendonca, D., Nunes, B., & de Oliveira, W. A. (2013). The Involvement of Girls and Boys with Bullying: An Analysis of Gender Differences. International Journal of Environmental Research and Public Health, 10, 6820-6831.
https://doi.org/10.3390/ijerph10126820
[ ] Siziya, S., Rudatsikira, E., & Muula, A. S. (2012). Victimization from Bullying among School-Attending Adolescents in Grades 7 to 10 in Zambia. Journal of Injury and Violence Research, 4, 30-35.
https://doi.org/10.5249/jivr.v4i1.84
[ ] Tayli, A. (2013). School Size as a Predictor of Bullying. International Journal of Academic Research, 24, 124-130.
https://doi.org/10.7813/2075-4124.2013/5-5/B.19
[ ] Tippett, N., & Kawk, K. (2012). Cyberbullying in South Korea. In Q. Li, D. Cross, & P. K. Smith (Eds.), Cyberbullying in the Global Playground: Research from International Perspective (pp. 202-219). New York, NY: Wiley-Blackwell.
[ ] Wang, J., Jannotti, R. J., & Nansel, T. R. (2009). School Bullying among Adolescents in the United States: Physical, Verbal, Relational, and Cyber. Journal of Adolescent Health, 45, 368-375.
https://doi.org/10.1016/j.jadohealth.2009.03.021
[ ] Wilson, M. L., Dunlavy, A. C., & Berchtold, A. (2013). Determinants for Bullying Victim ization among 11-16-Year Olds in 15-Low-and-Middle Income Countries: A Multi-Level Study. Social Sciences, 2, 208-220.
https://doi.org/10.3390/socsci2040208
[ ] Wu, J., He, Y., Lu, C., Deng, X., Gao, X., Guo, L. et al. (2015). Bullying Behaviors among Chinese School-Aged Youth: A Prevalence and Correlates Study in Guangdong Province. Psychiatry Research, 225, 716-722.
https://doi.org/10.1016/j.psychres.2014.11.004
  •   Articles
  •   Archive
  •   Indexing
  •   Aims & Scope
  •   Editorial Board
  •   For Authors
  •   Publication Fees

Journals Menu  

  • Open Special Issues
  • Published Special Issues
  • Special Issues Guideline
  • E-Mail Alert
  • PSYCH Subscription
  • Publication Ethics & OA Statement
  • Frequently Asked Questions
  • Recommend to Peers
  • Recommend to Library
  • History Issue
+1 323-425-8868
+86 18163351462(WhatsApp)
Paper Publishing WeChat

Copyright © 2024 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License .

  • Journals A-Z

About SCIRP

  • Publication Fees
  • For Authors
  • Peer-Review Issues
  • Special Issues
  • Manuscript Tracking System
  • Subscription
  • Translation & Proofreading
  • Volume & Issue
  • Open Access
  • Publication Ethics
  • Preservation
  • Privacy Policy
  • Research article
  • Open access
  • Published: 14 December 2021

Bullying at school and mental health problems among adolescents: a repeated cross-sectional study

  • Håkan Källmén 1 &
  • Mats Hallgren   ORCID: orcid.org/0000-0002-0599-2403 2  

Child and Adolescent Psychiatry and Mental Health volume  15 , Article number:  74 ( 2021 ) Cite this article

107k Accesses

17 Citations

37 Altmetric

Metrics details

To examine recent trends in bullying and mental health problems among adolescents and the association between them.

A questionnaire measuring mental health problems, bullying at school, socio-economic status, and the school environment was distributed to all secondary school students aged 15 (school-year 9) and 18 (school-year 11) in Stockholm during 2014, 2018, and 2020 (n = 32,722). Associations between bullying and mental health problems were assessed using logistic regression analyses adjusting for relevant demographic, socio-economic, and school-related factors.

The prevalence of bullying remained stable and was highest among girls in year 9; range = 4.9% to 16.9%. Mental health problems increased; range = + 1.2% (year 9 boys) to + 4.6% (year 11 girls) and were consistently higher among girls (17.2% in year 11, 2020). In adjusted models, having been bullied was detrimentally associated with mental health (OR = 2.57 [2.24–2.96]). Reports of mental health problems were four times higher among boys who had been bullied compared to those not bullied. The corresponding figure for girls was 2.4 times higher.

Conclusions

Exposure to bullying at school was associated with higher odds of mental health problems. Boys appear to be more vulnerable to the deleterious effects of bullying than girls.

Introduction

Bullying involves repeated hurtful actions between peers where an imbalance of power exists [ 1 ]. Arseneault et al. [ 2 ] conducted a review of the mental health consequences of bullying for children and adolescents and found that bullying is associated with severe symptoms of mental health problems, including self-harm and suicidality. Bullying was shown to have detrimental effects that persist into late adolescence and contribute independently to mental health problems. Updated reviews have presented evidence indicating that bullying is causative of mental illness in many adolescents [ 3 , 4 ].

There are indications that mental health problems are increasing among adolescents in some Nordic countries. Hagquist et al. [ 5 ] examined trends in mental health among Scandinavian adolescents (n = 116, 531) aged 11–15 years between 1993 and 2014. Mental health problems were operationalized as difficulty concentrating, sleep disorders, headache, stomach pain, feeling tense, sad and/or dizzy. The study revealed increasing rates of adolescent mental health problems in all four counties (Finland, Sweden, Norway, and Denmark), with Sweden experiencing the sharpest increase among older adolescents, particularly girls. Worsening adolescent mental health has also been reported in the United Kingdom. A study of 28,100 school-aged adolescents in England found that two out of five young people scored above thresholds for emotional problems, conduct problems or hyperactivity [ 6 ]. Female gender, deprivation, high needs status (educational/social), ethnic background, and older age were all associated with higher odds of experiencing mental health difficulties.

Bullying is shown to increase the risk of poor mental health and may partly explain these detrimental changes. Le et al. [ 7 ] reported an inverse association between bullying and mental health among 11–16-year-olds in Vietnam. They also found that poor mental health can make some children and adolescents more vulnerable to bullying at school. Bayer et al. [ 8 ] examined links between bullying at school and mental health among 8–9-year-old children in Australia. Those who experienced bullying more than once a week had poorer mental health than children who experienced bullying less frequently. Friendships moderated this association, such that children with more friends experienced fewer mental health problems (protective effect). Hysing et al. [ 9 ] investigated the association between experiences of bullying (as a victim or perpetrator) and mental health, sleep disorders, and school performance among 16–19 year olds from Norway (n = 10,200). Participants were categorized as victims, bullies, or bully-victims (that is, victims who also bullied others). All three categories were associated with worse mental health, school performance, and sleeping difficulties. Those who had been bullied also reported more emotional problems, while those who bullied others reported more conduct disorders [ 9 ].

As most adolescents spend a considerable amount of time at school, the school environment has been a major focus of mental health research [ 10 , 11 ]. In a recent review, Saminathen et al. [ 12 ] concluded that school is a potential protective factor against mental health problems, as it provides a socially supportive context and prepares students for higher education and employment. However, it may also be the primary setting for protracted bullying and stress [ 13 ]. Another factor associated with adolescent mental health is parental socio-economic status (SES) [ 14 ]. A systematic review indicated that lower parental SES is associated with poorer adolescent mental health [ 15 ]. However, no previous studies have examined whether SES modifies or attenuates the association between bullying and mental health. Similarly, it remains unclear whether school related factors, such as school grades and the school environment, influence the relationship between bullying and mental health. This information could help to identify those adolescents most at risk of harm from bullying.

To address these issues, we investigated the prevalence of bullying at school and mental health problems among Swedish adolescents aged 15–18 years between 2014 and 2020 using a population-based school survey. We also examined associations between bullying at school and mental health problems adjusting for relevant demographic, socioeconomic, and school-related factors. We hypothesized that: (1) bullying and adolescent mental health problems have increased over time; (2) There is an association between bullying victimization and mental health, so that mental health problems are more prevalent among those who have been victims of bullying; and (3) that school-related factors would attenuate the association between bullying and mental health.

Participants

The Stockholm school survey is completed every other year by students in lower secondary school (year 9—compulsory) and upper secondary school (year 11). The survey is mandatory for public schools, but voluntary for private schools. The purpose of the survey is to help inform decision making by local authorities that will ultimately improve students’ wellbeing. The questions relate to life circumstances, including SES, schoolwork, bullying, drug use, health, and crime. Non-completers are those who were absent from school when the survey was completed (< 5%). Response rates vary from year to year but are typically around 75%. For the current study data were available for 2014, 2018 and 2020. In 2014; 5235 boys and 5761 girls responded, in 2018; 5017 boys and 5211 girls responded, and in 2020; 5633 boys and 5865 girls responded (total n = 32,722). Data for the exposure variable, bullied at school, were missing for 4159 students, leaving 28,563 participants in the crude model. The fully adjusted model (described below) included 15,985 participants. The mean age in grade 9 was 15.3 years (SD = 0.51) and in grade 11, 17.3 years (SD = 0.61). As the data are completely anonymous, the study was exempt from ethical approval according to an earlier decision from the Ethical Review Board in Stockholm (2010-241 31-5). Details of the survey are available via a website [ 16 ], and are described in a previous paper [ 17 ].

Students completed the questionnaire during a school lesson, placed it in a sealed envelope and handed it to their teacher. Student were permitted the entire lesson (about 40 min) to complete the questionnaire and were informed that participation was voluntary (and that they were free to cancel their participation at any time without consequences). Students were also informed that the Origo Group was responsible for collection of the data on behalf of the City of Stockholm.

Study outcome

Mental health problems were assessed by using a modified version of the Psychosomatic Problem Scale [ 18 ] shown to be appropriate for children and adolescents and invariant across gender and years. The scale was later modified [ 19 ]. In the modified version, items about difficulty concentrating and feeling giddy were deleted and an item about ‘life being great to live’ was added. Seven different symptoms or problems, such as headaches, depression, feeling fear, stomach problems, difficulty sleeping, believing it’s great to live (coded negatively as seldom or rarely) and poor appetite were used. Students who responded (on a 5-point scale) that any of these problems typically occurs ‘at least once a week’ were considered as having indicators of a mental health problem. Cronbach alpha was 0.69 across the whole sample. Adding these problem areas, a total index was created from 0 to 7 mental health symptoms. Those who scored between 0 and 4 points on the total symptoms index were considered to have a low indication of mental health problems (coded as 0); those who scored between 5 and 7 symptoms were considered as likely having mental health problems (coded as 1).

Primary exposure

Experiences of bullying were measured by the following two questions: Have you felt bullied or harassed during the past school year? Have you been involved in bullying or harassing other students during this school year? Alternatives for the first question were: yes or no with several options describing how the bullying had taken place (if yes). Alternatives indicating emotional bullying were feelings of being mocked, ridiculed, socially excluded, or teased. Alternatives indicating physical bullying were being beaten, kicked, forced to do something against their will, robbed, or locked away somewhere. The response alternatives for the second question gave an estimation of how often the respondent had participated in bullying others (from once to several times a week). Combining the answers to these two questions, five different categories of bullying were identified: (1) never been bullied and never bully others; (2) victims of emotional (verbal) bullying who have never bullied others; (3) victims of physical bullying who have never bullied others; (4) victims of bullying who have also bullied others; and (5) perpetrators of bullying, but not victims. As the number of positive cases in the last three categories was low (range = 3–15 cases) bully categories 2–4 were combined into one primary exposure variable: ‘bullied at school’.

Assessment year was operationalized as the year when data was collected: 2014, 2018, and 2020. Age was operationalized as school grade 9 (15–16 years) or 11 (17–18 years). Gender was self-reported (boy or girl). The school situation To assess experiences of the school situation, students responded to 18 statements about well-being in school, participation in important school matters, perceptions of their teachers, and teaching quality. Responses were given on a four-point Likert scale ranging from ‘do not agree at all’ to ‘fully agree’. To reduce the 18-items down to their essential factors, we performed a principal axis factor analysis. Results showed that the 18 statements formed five factors which, according to the Kaiser criterion (eigen values > 1) explained 56% of the covariance in the student’s experience of the school situation. The five factors identified were: (1) Participation in school; (2) Interesting and meaningful work; (3) Feeling well at school; (4) Structured school lessons; and (5) Praise for achievements. For each factor, an index was created that was dichotomised (poor versus good circumstance) using the median-split and dummy coded with ‘good circumstance’ as reference. A description of the items included in each factor is available as Additional file 1 . Socio-economic status (SES) was assessed with three questions about the education level of the student’s mother and father (dichotomized as university degree versus not), and the amount of spending money the student typically received for entertainment each month (> SEK 1000 [approximately $120] versus less). Higher parental education and more spending money were used as reference categories. School grades in Swedish, English, and mathematics were measured separately on a 7-point scale and dichotomized as high (grades A, B, and C) versus low (grades D, E, and F). High school grades were used as the reference category.

Statistical analyses

The prevalence of mental health problems and bullying at school are presented using descriptive statistics, stratified by survey year (2014, 2018, 2020), gender, and school year (9 versus 11). As noted, we reduced the 18-item questionnaire assessing school function down to five essential factors by conducting a principal axis factor analysis (see Additional file 1 ). We then calculated the association between bullying at school (defined above) and mental health problems using multivariable logistic regression. Results are presented as odds ratios (OR) with 95% confidence intervals (Cis). To assess the contribution of SES and school-related factors to this association, three models are presented: Crude, Model 1 adjusted for demographic factors: age, gender, and assessment year; Model 2 adjusted for Model 1 plus SES (parental education and student spending money), and Model 3 adjusted for Model 2 plus school-related factors (school grades and the five factors identified in the principal factor analysis). These covariates were entered into the regression models in three blocks, where the final model represents the fully adjusted analyses. In all models, the category ‘not bullied at school’ was used as the reference. Pseudo R-square was calculated to estimate what proportion of the variance in mental health problems was explained by each model. Unlike the R-square statistic derived from linear regression, the Pseudo R-square statistic derived from logistic regression gives an indicator of the explained variance, as opposed to an exact estimate, and is considered informative in identifying the relative contribution of each model to the outcome [ 20 ]. All analyses were performed using SPSS v. 26.0.

Prevalence of bullying at school and mental health problems

Estimates of the prevalence of bullying at school and mental health problems across the 12 strata of data (3 years × 2 school grades × 2 genders) are shown in Table 1 . The prevalence of bullying at school increased minimally (< 1%) between 2014 and 2020, except among girls in grade 11 (2.5% increase). Mental health problems increased between 2014 and 2020 (range = 1.2% [boys in year 11] to 4.6% [girls in year 11]); were three to four times more prevalent among girls (range = 11.6% to 17.2%) compared to boys (range = 2.6% to 4.9%); and were more prevalent among older adolescents compared to younger adolescents (range = 1% to 3.1% higher). Pooling all data, reports of mental health problems were four times more prevalent among boys who had been victims of bullying compared to those who reported no experiences with bullying. The corresponding figure for girls was two and a half times as prevalent.

Associations between bullying at school and mental health problems

Table 2 shows the association between bullying at school and mental health problems after adjustment for relevant covariates. Demographic factors, including female gender (OR = 3.87; CI 3.48–4.29), older age (OR = 1.38, CI 1.26–1.50), and more recent assessment year (OR = 1.18, CI 1.13–1.25) were associated with higher odds of mental health problems. In Model 2, none of the included SES variables (parental education and student spending money) were associated with mental health problems. In Model 3 (fully adjusted), the following school-related factors were associated with higher odds of mental health problems: lower grades in Swedish (OR = 1.42, CI 1.22–1.67); uninteresting or meaningless schoolwork (OR = 2.44, CI 2.13–2.78); feeling unwell at school (OR = 1.64, CI 1.34–1.85); unstructured school lessons (OR = 1.31, CI = 1.16–1.47); and no praise for achievements (OR = 1.19, CI 1.06–1.34). After adjustment for all covariates, being bullied at school remained associated with higher odds of mental health problems (OR = 2.57; CI 2.24–2.96). Demographic and school-related factors explained 12% and 6% of the variance in mental health problems, respectively (Pseudo R-Square). The inclusion of socioeconomic factors did not alter the variance explained.

Our findings indicate that mental health problems increased among Swedish adolescents between 2014 and 2020, while the prevalence of bullying at school remained stable (< 1% increase), except among girls in year 11, where the prevalence increased by 2.5%. As previously reported [ 5 , 6 ], mental health problems were more common among girls and older adolescents. These findings align with previous studies showing that adolescents who are bullied at school are more likely to experience mental health problems compared to those who are not bullied [ 3 , 4 , 9 ]. This detrimental relationship was observed after adjustment for school-related factors shown to be associated with adolescent mental health [ 10 ].

A novel finding was that boys who had been bullied at school reported a four-times higher prevalence of mental health problems compared to non-bullied boys. The corresponding figure for girls was 2.5 times higher for those who were bullied compared to non-bullied girls, which could indicate that boys are more vulnerable to the deleterious effects of bullying than girls. Alternatively, it may indicate that boys are (on average) bullied more frequently or more intensely than girls, leading to worse mental health. Social support could also play a role; adolescent girls often have stronger social networks than boys and could be more inclined to voice concerns about bullying to significant others, who in turn may offer supports which are protective [ 21 ]. Related studies partly confirm this speculative explanation. An Estonian study involving 2048 children and adolescents aged 10–16 years found that, compared to girls, boys who had been bullied were more likely to report severe distress, measured by poor mental health and feelings of hopelessness [ 22 ].

Other studies suggest that heritable traits, such as the tendency to internalize problems and having low self-esteem are associated with being a bully-victim [ 23 ]. Genetics are understood to explain a large proportion of bullying-related behaviors among adolescents. A study from the Netherlands involving 8215 primary school children found that genetics explained approximately 65% of the risk of being a bully-victim [ 24 ]. This proportion was similar for boys and girls. Higher than average body mass index (BMI) is another recognized risk factor [ 25 ]. A recent Australian trial involving 13 schools and 1087 students (mean age = 13 years) targeted adolescents with high-risk personality traits (hopelessness, anxiety sensitivity, impulsivity, sensation seeking) to reduce bullying at school; both as victims and perpetrators [ 26 ]. There was no significant intervention effect for bullying victimization or perpetration in the total sample. In a secondary analysis, compared to the control schools, intervention school students showed greater reductions in victimization, suicidal ideation, and emotional symptoms. These findings potentially support targeting high-risk personality traits in bullying prevention [ 26 ].

The relative stability of bullying at school between 2014 and 2020 suggests that other factors may better explain the increase in mental health problems seen here. Many factors could be contributing to these changes, including the increasingly competitive labour market, higher demands for education, and the rapid expansion of social media [ 19 , 27 , 28 ]. A recent Swedish study involving 29,199 students aged between 11 and 16 years found that the effects of school stress on psychosomatic symptoms have become stronger over time (1993–2017) and have increased more among girls than among boys [ 10 ]. Research is needed examining possible gender differences in perceived school stress and how these differences moderate associations between bullying and mental health.

Strengths and limitations

Strengths of the current study include the large participant sample from diverse schools; public and private, theoretical and practical orientations. The survey included items measuring diverse aspects of the school environment; factors previously linked to adolescent mental health but rarely included as covariates in studies of bullying and mental health. Some limitations are also acknowledged. These data are cross-sectional which means that the direction of the associations cannot be determined. Moreover, all the variables measured were self-reported. Previous studies indicate that students tend to under-report bullying and mental health problems [ 29 ]; thus, our results may underestimate the prevalence of these behaviors.

In conclusion, consistent with our stated hypotheses, we observed an increase in self-reported mental health problems among Swedish adolescents, and a detrimental association between bullying at school and mental health problems. Although bullying at school does not appear to be the primary explanation for these changes, bullying was detrimentally associated with mental health after adjustment for relevant demographic, socio-economic, and school-related factors, confirming our third hypothesis. The finding that boys are potentially more vulnerable than girls to the deleterious effects of bullying should be replicated in future studies, and the mechanisms investigated. Future studies should examine the longitudinal association between bullying and mental health, including which factors mediate/moderate this relationship. Epigenetic studies are also required to better understand the complex interaction between environmental and biological risk factors for adolescent mental health [ 24 ].

Availability of data and materials

Data requests will be considered on a case-by-case basis; please email the corresponding author.

Code availability

Not applicable.

Olweus D. School bullying: development and some important challenges. Ann Rev Clin Psychol. 2013;9(9):751–80. https://doi.org/10.1146/annurev-clinpsy-050212-185516 .

Article   Google Scholar  

Arseneault L, Bowes L, Shakoor S. Bullying victimization in youths and mental health problems: “Much ado about nothing”? Psychol Med. 2010;40(5):717–29. https://doi.org/10.1017/S0033291709991383 .

Article   CAS   PubMed   Google Scholar  

Arseneault L. The long-term impact of bullying victimization on mental health. World Psychiatry. 2017;16(1):27–8. https://doi.org/10.1002/wps.20399 .

Article   PubMed   PubMed Central   Google Scholar  

Moore SE, Norman RE, Suetani S, Thomas HJ, Sly PD, Scott JG. Consequences of bullying victimization in childhood and adolescence: a systematic review and meta-analysis. World J Psychiatry. 2017;7(1):60–76. https://doi.org/10.5498/wjp.v7.i1.60 .

Hagquist C, Due P, Torsheim T, Valimaa R. Cross-country comparisons of trends in adolescent psychosomatic symptoms—a Rasch analysis of HBSC data from four Nordic countries. Health Qual Life Outcomes. 2019;17(1):27. https://doi.org/10.1186/s12955-019-1097-x .

Deighton J, Lereya ST, Casey P, Patalay P, Humphrey N, Wolpert M. Prevalence of mental health problems in schools: poverty and other risk factors among 28 000 adolescents in England. Br J Psychiatry. 2019;215(3):565–7. https://doi.org/10.1192/bjp.2019.19 .

Article   PubMed Central   Google Scholar  

Le HTH, Tran N, Campbell MA, Gatton ML, Nguyen HT, Dunne MP. Mental health problems both precede and follow bullying among adolescents and the effects differ by gender: a cross-lagged panel analysis of school-based longitudinal data in Vietnam. Int J Ment Health Syst. 2019. https://doi.org/10.1186/s13033-019-0291-x .

Bayer JK, Mundy L, Stokes I, Hearps S, Allen N, Patton G. Bullying, mental health and friendship in Australian primary school children. Child Adolesc Ment Health. 2018;23(4):334–40. https://doi.org/10.1111/camh.12261 .

Article   PubMed   Google Scholar  

Hysing M, Askeland KG, La Greca AM, Solberg ME, Breivik K, Sivertsen B. Bullying involvement in adolescence: implications for sleep, mental health, and academic outcomes. J Interpers Violence. 2019. https://doi.org/10.1177/0886260519853409 .

Hogberg B, Strandh M, Hagquist C. Gender and secular trends in adolescent mental health over 24 years—the role of school-related stress. Soc Sci Med. 2020. https://doi.org/10.1016/j.socscimed.2020.112890 .

Kidger J, Araya R, Donovan J, Gunnell D. The effect of the school environment on the emotional health of adolescents: a systematic review. Pediatrics. 2012;129(5):925–49. https://doi.org/10.1542/peds.2011-2248 .

Saminathen MG, Låftman SB, Modin B. En fungerande skola för alla: skolmiljön som skyddsfaktor för ungas psykiska välbefinnande. [A functioning school for all: the school environment as a protective factor for young people’s mental well-being]. Socialmedicinsk tidskrift [Soc Med]. 2020;97(5–6):804–16.

Google Scholar  

Bibou-Nakou I, Tsiantis J, Assimopoulos H, Chatzilambou P, Giannakopoulou D. School factors related to bullying: a qualitative study of early adolescent students. Soc Psychol Educ. 2012;15(2):125–45. https://doi.org/10.1007/s11218-012-9179-1 .

Vukojevic M, Zovko A, Talic I, Tanovic M, Resic B, Vrdoljak I, Splavski B. Parental socioeconomic status as a predictor of physical and mental health outcomes in children—literature review. Acta Clin Croat. 2017;56(4):742–8. https://doi.org/10.20471/acc.2017.56.04.23 .

Reiss F. Socioeconomic inequalities and mental health problems in children and adolescents: a systematic review. Soc Sci Med. 2013;90:24–31. https://doi.org/10.1016/j.socscimed.2013.04.026 .

Stockholm City. Stockholmsenkät (The Stockholm Student Survey). 2021. https://start.stockholm/aktuellt/nyheter/2020/09/presstraff-stockholmsenkaten-2020/ . Accessed 19 Nov 2021.

Zeebari Z, Lundin A, Dickman PW, Hallgren M. Are changes in alcohol consumption among swedish youth really occurring “in concert”? A new perspective using quantile regression. Alc Alcohol. 2017;52(4):487–95. https://doi.org/10.1093/alcalc/agx020 .

Hagquist C. Psychometric properties of the PsychoSomatic Problems Scale: a Rasch analysis on adolescent data. Social Indicat Res. 2008;86(3):511–23. https://doi.org/10.1007/s11205-007-9186-3 .

Hagquist C. Ungas psykiska hälsa i Sverige–komplexa trender och stora kunskapsluckor [Young people’s mental health in Sweden—complex trends and large knowledge gaps]. Socialmedicinsk tidskrift [Soc Med]. 2013;90(5):671–83.

Wu W, West SG. Detecting misspecification in mean structures for growth curve models: performance of pseudo R(2)s and concordance correlation coefficients. Struct Equ Model. 2013;20(3):455–78. https://doi.org/10.1080/10705511.2013.797829 .

Holt MK, Espelage DL. Perceived social support among bullies, victims, and bully-victims. J Youth Adolscence. 2007;36(8):984–94. https://doi.org/10.1007/s10964-006-9153-3 .

Mark L, Varnik A, Sisask M. Who suffers most from being involved in bullying-bully, victim, or bully-victim? J Sch Health. 2019;89(2):136–44. https://doi.org/10.1111/josh.12720 .

Tsaousis I. The relationship of self-esteem to bullying perpetration and peer victimization among schoolchildren and adolescents: a meta-analytic review. Aggress Violent Behav. 2016;31:186–99. https://doi.org/10.1016/j.avb.2016.09.005 .

Veldkamp SAM, Boomsma DI, de Zeeuw EL, van Beijsterveldt CEM, Bartels M, Dolan CV, van Bergen E. Genetic and environmental influences on different forms of bullying perpetration, bullying victimization, and their co-occurrence. Behav Genet. 2019;49(5):432–43. https://doi.org/10.1007/s10519-019-09968-5 .

Janssen I, Craig WM, Boyce WF, Pickett W. Associations between overweight and obesity with bullying behaviors in school-aged children. Pediatrics. 2004;113(5):1187–94. https://doi.org/10.1542/peds.113.5.1187 .

Kelly EV, Newton NC, Stapinski LA, Conrod PJ, Barrett EL, Champion KE, Teesson M. A novel approach to tackling bullying in schools: personality-targeted intervention for adolescent victims and bullies in Australia. J Am Acad Child Adolesc Psychiatry. 2020;59(4):508. https://doi.org/10.1016/j.jaac.2019.04.010 .

Gunnell D, Kidger J, Elvidge H. Adolescent mental health in crisis. BMJ. 2018. https://doi.org/10.1136/bmj.k2608 .

O’Reilly M, Dogra N, Whiteman N, Hughes J, Eruyar S, Reilly P. Is social media bad for mental health and wellbeing? Exploring the perspectives of adolescents. Clin Child Psychol Psychiatry. 2018;23:601–13.

Unnever JD, Cornell DG. Middle school victims of bullying: who reports being bullied? Aggr Behav. 2004;30(5):373–88. https://doi.org/10.1002/ab.20030 .

Download references

Acknowledgements

Authors are grateful to the Department for Social Affairs, Stockholm, for permission to use data from the Stockholm School Survey.

Open access funding provided by Karolinska Institute. None to declare.

Author information

Authors and affiliations.

Stockholm Prevents Alcohol and Drug Problems (STAD), Center for Addiction Research and Department of Clinical Neuroscience, Karolinska Institutet, Solna, Sweden

Håkan Källmén

Epidemiology of Psychiatric Conditions, Substance Use and Social Environment (EPiCSS), Department of Global Public Health, Karolinska Institutet, Level 6, Solnavägen 1e, Solna, Sweden

Mats Hallgren

You can also search for this author in PubMed   Google Scholar

Contributions

HK conceived the study and analyzed the data (with input from MH). HK and MH interpreted the data and jointly wrote the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Mats Hallgren .

Ethics declarations

Ethics approval and consent to participate.

As the data are completely anonymous, the study was exempt from ethical approval according to an earlier decision from the Ethical Review Board in Stockholm (2010-241 31-5).

Consent for publication

Competing interests.

The authors declare that they have no competing interests.

Additional information

Publisher's note.

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1..

Principal factor analysis description.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ . The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/ ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Cite this article.

Källmén, H., Hallgren, M. Bullying at school and mental health problems among adolescents: a repeated cross-sectional study. Child Adolesc Psychiatry Ment Health 15 , 74 (2021). https://doi.org/10.1186/s13034-021-00425-y

Download citation

Received : 05 October 2021

Accepted : 23 November 2021

Published : 14 December 2021

DOI : https://doi.org/10.1186/s13034-021-00425-y

Share this article

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

  • Mental health
  • Adolescents
  • School-related factors
  • Gender differences

Child and Adolescent Psychiatry and Mental Health

ISSN: 1753-2000

research study about bullying in the philippines

  • DOI: 10.14257/ASTL.2013.36.07
  • Corpus ID: 147260411

School Violence in the Philippines: A Study on Programs and Policies

  • Inero V Ancho , Sae-Hoon Park
  • Published 11 December 2013
  • Education, Sociology
  • Education 3-13

7 Citations

Experiences on the implementation of child protection policies.

  • Highly Influenced

A Profile of Bullying, Peer Aggression, and Victimization in Philippine Junior High School

Child protection capacity of public secondary schools in northern samar division and academic performance of victims of violence against children, the use of resilience-based group intervention program for victims of bullying, bullying in south-east asian countries: a review, barriers in the implementation of school-based anti-bullying intervention programs and strategies in public elementary schools in a certain division in the philippines., height matters, 16 references, policies and programming for safer schools: are “anti-bullying” approaches impeding education for peacebuilding, school violence: a qualitative case study, violence in schools and representations of young people: a critique of government policies in france and england, bullying in middle schools: an asian-pacific regional study, school bullying in korea and christian educational approach, the association of community violence exposure with middle-school achievement: a prospective study, presentation and management of school bullying and the impact of anti-bullying strategies for pupils: a self-report survey in london schools., effectiveness of antibullying school programmes: a systematic review by evidence levels, facebook bullying: an extension of battles in school, preventing the bullying of foster children in our schools, related papers.

Showing 1 through 3 of 0 Related Papers

Page Header Logo

Awareness and Incidence of Bullying among Public High School Students in Antique

  • Janice L. Gonzales Antique National School, Antique, Philippines https://orcid.org/0000-0002-9869-8421
  • Dennis V. Madrigal University of Negros Occidental-Recoletos, Bacolod City, Philippines https://orcid.org/0000-0001-5891-2473

Bullying is an increasing problem globally, which affects school children over the years.  The students who have experienced bullying have a greater risk of psychological distress. Likewise, the incidence of bullying has been increasing despite the efforts of the Philippine government and Department of Education. Moreover, the problem of bullying was even exacerbated by technology resulting in a new form called cyberbullying. Studies also show that students are aware of the different bullying types, yet high bullying incidence still prevails. Hence, the paper describes the level of bullying awareness and the extent of bullying incidence in a public school in Antique during the School Year 2019-2020. The paper also evaluates if a significant difference exists in the level of awareness and the extent of bullying practices when respondents are grouped according to sex, grade level, birth order, living condition, and family monthly income. Furthermore, it also investigates whether a relationship exists between awareness and extent of bullying incidence.

research study about bullying in the philippines

  • Endnote/Zotero/Mendeley (RIS)

Most read articles by the same author(s)

  • Eric L. Legada, Dennis V. Madrigal, Ma. Wilma M. Maravilla, Spiritual Well-Being and Resiliency of the Diocesan Seminarians of Antique , Philippine Social Science Journal: Vol 3 No 1 (2020): January-June 2020
  • Mark Joseph T. Reyes, Dennis V. Madrigal, Assessing Students’ Awareness, Attitude, and Practices on Solid Waste Management in a Philippine Catholic School , Philippine Social Science Journal: Vol 3 No 1 (2020): January-June 2020
  • Kenia Hukom, Dennis V. Madrigal, Academic Stress and Coping Strategies of High School Students with Single-Parents , Philippine Social Science Journal: Vol 3 No 2 (2020): Special Issue (September/October 2020)
  • Cecilia M. Sablaon, Dennis V. Madrigal, Psychological Well-Being of Catholic High School Students with Absentee Parents of a Private School , Philippine Social Science Journal: Vol 3 No 2 (2020): Special Issue (September/October 2020)
  • Gerry L. Ventura, Dennis V. Madrigal, Awareness and Practices on Disaster Preparedness of Students of a Public High School in Antique , Philippine Social Science Journal: Vol 3 No 2 (2020): Special Issue (September/October 2020)
  • Lino Z. Sumbillo Jr., Dennis V. Madrigal, Disaster Risk Reduction Management Practices of Augustinian Recollect Schools in Negros Island , Philippine Social Science Journal: Vol 3 No 2 (2020): Special Issue (September/October 2020)
  • Christoper Y. Jungco, Dennis V. Madrigal, Awareness and Utilization of Web 2.0 Technology of Young Teachers in Catholic Schools , Philippine Social Science Journal: Vol 3 No 2 (2020): Special Issue (September/October 2020)
  • Julde E. Dangoy, Dennis V. Madrigal, Career Preferences and Factors Influencing the Career Choice of Senior High Students of a Catholic School , Philippine Social Science Journal: Vol 3 No 2 (2020): Special Issue (September/October 2020)
  • Genalyn E. Gipalen, Dennis V. Madrigal, The Implementation of Basic Guidance Services in Selected Diocesan Catholic Schools in the Province of Antique , Philippine Social Science Journal: Vol 3 No 2 (2020): Special Issue (September/October 2020)
  • Cecile S. Gentova, Dennis V. Madrigal, Classroom Climate and Student’s Academic Performance of a Public School in Antique , Philippine Social Science Journal: Vol 3 No 2 (2020): Special Issue (September/October 2020)

Journal Information

Aim and Scope

Editorial Team

Submission Policy

Responsibilities of Authors

Guide to Authors

Peer Review Process

Guide to Referees

Criteria for Acceptance and Rejection

Publication Ethics and Malpractice

Policy on Handling Complaints

Policy on Retraction

Policy on Conflicts of Interest

Policy on Use of Human Subjects in Research

Policy on Digital Preservation

Open Access and Copyright Policy

Privacy Statement

Publication Frequency

Sources of Support

Journal History

Make Submission

research study about bullying in the philippines

ISSN 2704-288X (Electronic)

ISSN 2672-3107(Print)

Philippine Social Science Journal

Current Issue

Flag Counter

  • For Readers
  • For Authors
  • For Librarians

Academia.edu no longer supports Internet Explorer.

To browse Academia.edu and the wider internet faster and more securely, please take a few seconds to  upgrade your browser .

Enter the email address you signed up with and we'll email you a reset link.

  • We're Hiring!
  • Help Center

paper cover thumbnail

Philippine Issues on School / Classroom Bullying

Profile image of Cezar Barranta Jr.

This paper discussed bullying and its effects on the children who have been bullied, who is bully and children who witness bullying situations. It also discussed how the school, parents and guardians deal if their children are caught are up in different bullying situations. The paper highlighted the issues of school bullying in the Philippines and its serious psychological consequences for victims that includes low psychological well-being, poor social adjustment, psychological distress and physical illness.

Related Papers

Arvi Cabungcal

research study about bullying in the philippines

Randwick International of Education and Linguistics Science Journal

Rodalyn Lapada

This study was conducted to determine students’ experiences, reactions and opinions on bullying. It used a descriptive research design wherein students’ experiences, reactions and opinions were gathered through survey questionnaires. Purposive sampling technique was employed using snowball sampling technique. Online survey questionnaire was sent to the selected students via messenger. These students forwarded the online survey questionnaire to those students who they thought potential respondents of the study via messenger too. Finding revealed that Esperanza National High School has maintained a healthy school environment suited to the different types of learners since the bullying was less evident in the school. Occasional occurrence of bullying in the school prompted the students to rarely report the incidence to the concerned people. Students very seldom experienced the bullying from the people they frequently engaged and communicated. They normally responded to the minor incide...

Laurence dela cruz

Bullying affects 50 percent of the Filipino school children. However, there is still the lack of literature that discusses this problem in a Philippine setting. This paper employed descriptive research technique to determine the profile of school bullying, peer aggression, and victimization among junior high school students of the UP High School in Cebu. Results of the survey revealed that bullying exists in the school with classmates as the perpetrators; direct verbal and relational are the most common forms of bullying; gender is not a factor in bullying and victimization, both sexes are involved in bullying and peer victimization, and, there is a significant relationship between bullying and victimization. Results underscore the need to implement a bullying prevention program focusing on awareness of the problem and their long-term impact to students is highly recommended. There is a need for the school to organize a peer counseling group to address the high rate of bullying cases reported only to their peers instead of school officials.

IJESRT Journal

The main purpose of the study was to assess the bullying management approaches in selected secondary schools in Zone III, Schools Division of Zambales, Philippines during the school year 2015-2016 from the perspective of the teachers. The study made used of descriptive research design with questionnaire as the main instrument in gathering data from sixty-one (61) teacher-respondents. Based on the summary of the investigations conducted, the researcher had concluded that the teacher-respondents are predominantly females in their early adulthood, married with a family income below poverty level and who have been in the teaching profession for 10 years. The type or nature of bullying perceived strongly agreed by the teachers was forcing someone to do something against one's will, the bullying occurred among bossy students do violence to meek and shy students and effects of bulling strongly agreed were emotional and psychological disturbance. The teachers perceived that the character building as bullying management approach was very effective. The teachers perceived strongly agreed on the coping mechanisms of bullying mainly counseling. The analysis of variance result revealed a no significant differences on the teachers' perceptions towards type or nature of bullying, occurrence of bullying and bullying management approaches. However, the teachers have perceived differences on age towards coping mechanisms.

roldan cardona

While bullying in schools has begun to receive great attention with the enactment of the Republic Act 10627 or the Anti-Bullying Act and the DepEd’s Child Policy, little is known about the link between and among classroom discipline techniques, parenting styles and bullying incidences. This descriptive study is aimed to provide insights how bullying behaviors could be integrated in the classroom discipline techniques employed by the teacher and be able to craft an anti-bullying program involving the stakeholders of Binakayan National High School, Kawit, Cavite.

Ma Monique DeLuna

While bullying in schools has begun to receive great attention with the enactment of the Republic Act 10627 or the Anti-Bullying Act and the DepEd's Child Policy, little is known about the link between and among classroom discipline techniques, parenting styles and bullying incidences. This descriptive study is aimed to provide insights how bullying behaviors could be integrated in the classroom discipline techniques employed by the teacher and be able to craft an anti-bullying program involving the stakeholders of Binakayan National High School, Kawit, Cavite.

ACE2019 Official Conference Proceedings

Philippine Education Research Journal

Cynthia CORREO , Ronaldo SP. Elicay

Background: Bullying is a complex social phenomenon influenced by a myriad of factors, including psychological and environmental ones. It is generally perceived as dangerous and life-threatening and, thus, must be urgently addressed. Purpose: Investigate the prevalence and the actual bullying experiences of Filipino junior high school students using Urie Bronfenbrenner's socioecological theory or ecological model of development as a framework. Participants: 1,090 students from nine selected secondary schools in the 4th and 6th District in the province of Batangas, with 30 of them chosen as key informants Research design: Mixed method expansion sequential research design Data collection and analysis: The V-SCAIRD Acts of Bullying Inventory Tool was administered to determine the prevalence of bullying (by bullying role, form of bullying, and effect of bullying) across genders and school types. Independent sample t-tests were used to compare male and female differences in the bullying roles, the forms of bullying, and the effects of bullying across genders. Analysis of variance showed the degree of significant differences in the bullying roles, the forms of bullying, and the effects of bullying across school types. Fisher's least significant difference test was run as post hoc test. All statistical analyses were tested at p < .05. The students who scored high as bullies, victims, and bystanders were interviewed to draw out their actual bullying experiences and the possible psycho-social environmental factors influencing this social phenomenon. Findings: Prevalence rates of 8, 14, and 78 in 100 students translate to one bully, two victims, and seven bystanders in every 10 students, with a victimization ratio of 1:5. Male students exhibited a significantly higher tendency to be bullies and victims. All forms of bullying (covert indirect, cyberbullying, physical, and verbal) were experienced by students regardless of gender. However, it appeared that the male students were more exposed to verbal bullying while the female students were more exposed to cyberbullying. Significant gender differences were found in the students' experiences of the cognitive, affective, and behavioral effects of bullying. Across school types, no significant differences were found in bully tendencies, but a significant difference was found in victim tendencies between public and Catholic schools, with the former having a higher rate than the latter. Students from both Catholic and non-sectarian schools registered a significantly higher tendency to become bystanders than those in public schools. The interview disclosed various forms of bullying experienced by the students, categorized into covert indirect, cyberbullying, physical, and verbal types. Verbal abuse from family members was reported, primarily due to failed expectations such as perceived poor academic performance. Psycho-social factors influencing bullying phenomenon in schools include teachers' attitude in school, peer influence, and school discipline. Recommendation: Provide continuing professional development to teachers on bullying management in schools and create clear structure and school policies that emphasize home and school partnership and certain discipline in school.

Salmi Sudan

This research paper examines the problem of school bullying in a primary school in the state of Selangor, Malaysia. Particularly the paper looks at bullying victimization with the focus on how bullying affects the thinking, feelings and behavior of the bullying victims. The paper also explores how the school regards school bullying, what type of intervention measures that the school has and how these measures are implemented in the school. Data was collected through in depth interviews with the participants of this study who were two victims of school bullying, a school counselor, and a Discipline Head. The results showed that bullying affects negatively the thinking, feelings and behavior of the victims in which they reported among other feelings of fear, anguish, anger, foolish, and hating school as the outcomes of being bullied. It was also found that the school under study does not have a particular or constant intervention programs for both bullies and victims of school bullyin...

Yakup Can Avcı

In all cultures, the "bullying", which is confronted in some way, is an issue that students feel freak, insecure, in severe situations commit suicide. This study is criticized, Roldan S. Cardona, Agnes, S. Reyes and Marlu M. Tangalin’s The Bullying Experiences and Classroom Discipline Techniques in an Urban National High School in the Philippines: A Basis for an Anti-Bullying Program article from Philippine Normal University and Binakayan National High School which is published by American International Journal of Contemporary Research Magazine Vol.5, No. 2; April 2015 with community benefit and implementation, methodology, arguments and recommendations. The article main target audiences are Local public and Academic communities especially teachers and parents. The aim of the study is, researching is there a link between bullying incidences and classroom management skills together with parenting styles? On the other hand, reveal the what capabilities has teacher to recognize bullying incidences and what should they act to decrease bullying behaviors in their classroom. This paper aim criticized and evaluate main arguments of the text. The study use Graham Hewitt criticized methods (Hewitt. G 2017) . The general opinion about the article is insufficient background knowledge and wrong method to link classroom discipline technique and parenting style.

Loading Preview

Sorry, preview is currently unavailable. You can download the paper by clicking the button above.

RELATED PAPERS

International Journal of Innovative Research and Development

Maria Lourdes G . Tan

Bernie Tandang

Universal Journal of Educational Research

Hasnizam Hashim

Proceedings of the 2nd Social and Humaniora Research Symposium (SoRes 2019)

Sulisworo Kusdiyati

AL-ISHLAH: Jurnal Pendidikan

Fajar Satrio Nugroho

International Journal of Scientific & Technology Research

Muhamad Hasan Abdillah

Jerome Hugno Emralino

International Journal of Advanced Research (IJAR)

IJAR Indexing

Mark Joseph Boca

Proceedings of the International Joint Conference on Arts and Humanities 2021 (IJCAH 2021)

nurul murtadho

Cecilia L . Calub

Revista de Cercetare şi Intervenţie Socială

Indigenous: Jurnal Ilmiah Psikologi

medina chodijah

Dr.Thseen Nazir

SCHOULID: Indonesian Journal of School Counseling

Farah Aulia

Indian Journal of Pediatrics

Seter Siziya

M Syahruddin

Yulius Yusak

Oyaziwo Aluede

International Journal of Scientific Research & Engineering Trends

Kuenga Dendup

Khazanah Pendidikan Islam

Maulana Suhandani

Malahayati International Journal of Nursing and Health Science

Susri Utami

Pediatrics International

Emmy Amalia

RELATED TOPICS

  •   We're Hiring!
  •   Help Center
  • Find new research papers in:
  • Health Sciences
  • Earth Sciences
  • Cognitive Science
  • Mathematics
  • Computer Science
  • Academia ©2024

Philippine E-Journals

Home ⇛ smcc higher education research journal (multidisciplinary journal) ⇛ vol. 8 no. 1 (2021), effects of bullying on the academic performance of grade 3 learners.

EVELYN T. PENALES

The role of school in school is to help children develop their mental, physical, and moral abilities. The study determined the effects of bullying on the academic performance of Grade 3 learners in Kitcharao District, Division of Agusan del Norte, Philippines. The researcher in the study used the descriptive survey method. The test questionnaires were administered to 147 respondents. Physical bullying, verbal bullying has been affecting the academic performance of grade learners significantly. The study concludes that bullying in school, such as physical, verbal, and gang of bullies, has been happening in school often and disturbing to some extent the learners’ performance. These disturbances have only obtained average performance. The school should monitor without let-up bullying and strictly implement disciplinary action to it versus bullies to protect graders from disturbances of their learning process. Moreover, the teachers should always advise and guide their learners to shun away from resorting to bullying at all times.

research study about bullying in the philippines

Share Article:

research study about bullying in the philippines

  • Cite this paper
  • ">Indexing metadata
  • Print version

logo

Copyright © 2024  KITE Digital Educational Solutions |   Exclusively distributed by CE-Logic Terms and Conditions -->

research study about bullying in the philippines

IMAGES

  1. Case Study About Bullying In School In The Philippines

    research study about bullying in the philippines

  2. (PDF) Office Bullying in the Philippines and the Need for Public Policy

    research study about bullying in the philippines

  3. research paper about bullying

    research study about bullying in the philippines

  4. Bullying and School-Related Gender-Based Violence in the Philippines

    research study about bullying in the philippines

  5. Case Study About Bullying In School In The Philippines

    research study about bullying in the philippines

  6. (PDF) PHILIPPINES ISSUES ON SCHOOL / CLASSROOM BULLYING

    research study about bullying in the philippines

VIDEO

  1. Masamang epekto ng bullying, tinalakay ng Trio Tagapayo

  2. STOP BULLYING PHILIPPINES!

  3. China is bullying the Philippines

  4. China bullying Philippines vessel #china #philippines

  5. The World needs to Know this How China keeps bullying the Philippines

  6. SPECIAL REPORT: Paano mo dapat hinaharap at sinasagot ang isang bully

COMMENTS

  1. The Silent Epidemic: The Bullying Among Children in ...

    Drawing on diverse studies spanning various regions 196 of the Philippines, our findings reveal a pervasive pattern of bullying encompassing physical, verbal, and relational aggression.

  2. A Phenomenological Analysis of Filipino Students' Experiences of

    This study aimed to understand bullying through the lived experiences of three students who became bully-targets in state universities and colleges (SUCs) using a socio-ecological perspective.

  3. PDF Bullying Among High School Students as Influenced by Parent-Child

    This study explored the nature and extent of bullying among high school students in Baguio City, Philippines. It determined the relations between parent-child attachment, parenting styles, and bullying via a quantitative survey (n = 876) and focus group discussions (n = 16). Results revealed that verbal bullying/victimization is more frequent than

  4. PDF The Philippine secondary school experience of bullying through the lens

    Philippine Education Research Journal June-December 2020, volume 2020, numbers 1-2, pages 29-47 ... world experiencing peer-to-peer bullying. The Philippines has not been spared from this socioeducational concern (Plan Philippines,2008; Selim,2018), prompting scholars ... studies conducted in the Philippines focused on certain aspects of ...

  5. PDF Perception of Pupils Towards Bullying Prevention and its ...

    Keywords: Anti-bullying act, bullying prevention, bullying solution, perception of anti-bullying, prevention of bullying. 1. Introduction. Bullying is commonly defined as repeated aggressive behavior in which there is an imbalance of power and strength between two parties. Bullying behavior may be direct or overt.

  6. 1 in 3 Filipino students bullied in school

    According to the Pisa study published on Dec. 5, the incidence of bullying in Philippine schools went down between 2018 and 2022. The country first took part in the large-scale international ...

  7. Bullying and other risk factors related to adolescent suicidal

    The present study retrospectively examined gender differences in bullying and suicidal behaviour (ideation, plan, and attempts) as well as associations between selected risk factors and suicidal behaviour among secondary school Filipino students. The study used a secondary data set from the GSHS developed by the World Health Organization, which was conducted in the Philippines in 2011.

  8. Bullying in schools: the state of knowledge and effective interventions

    Abstract. During the school years, bullying is one of the most common expressions of violence in the peer context. Research on bullying started more than forty years ago, when the phenomenon was defined as 'aggressive, intentional acts carried out by a group or an individual repeatedly and over time against a victim who cannot easily defend him- or herself'.

  9. PDF The Silent Epidemic: The Bullying Among Children in Philippine ...

    2012). Understanding the specific nuances of bullying in the Philippines is crucial for developing targeted interventions that address the unique cultural and contextual factors influencing this phenomenon. While research on bullying has gained traction globally, there remains a dearth of comprehensive studies focused on the Philippine context.

  10. Does the type of school matter in preventing bullying? Knowledge

    The research data were drawn from a larger study aimed at describing the incidence, forms, and experience of bullying in the elementary and secondary schools in Iloilo City, Philippines. Given the magnitude and scope of the time required to meet bureaucratic requirements and schedule students to be surveyed in each school, it was decided to cut ...

  11. Empathy, cyberbullying, and cybervictimization among Filipino

    The purpose of this study was to gain insights into empathy, cyberbullying, and cybervictimization among Filipino adolescents.The participants were 168 junior high school students in the 7th to 10th grades at a public high school in Cavite Province, Philippines. ...

  12. PDF Bullying and Mental Health of Senior High School Students

    Department of Education1-Region XI, Davao City, Philippines Abstract: This study examines the effects of bullying on the mental health and academic performance of Senior High School (SHS) students. The research aims to determine the prevalence of physical, verbal, and cyberbullying and how these forms of bullying impact students' mental health.

  13. (PDF) Understanding the Influence of Cyberbullying Among ...

    This research sought to explore the effects of cyberbullying on high school students attending public schools in the Philippines. Given the widespread use of digital communication platforms and ...

  14. "High incidence of bullying in PH public schools alarming"

    On the other hand, the PISA 2022 reports that one out three Filipino students are being bullied in schools. This is about 43% of girls and 53% of boys in the Philippines encounter bullying incidents multiple times a month. This is much higher than the OECD average of 20% of girls, and 21% of boys. "International large-scale assessments show ...

  15. When Kids Hurt Other Kids: Bullying in Philippine Schools

    Abstract. This research looked into prevalence rate of bullying victimization and perpetration as well as teachers' response to bullying incidence in the Philippines. A total of 340 sixth graders from five different schools in Western Visayas participated in the study. Slightly more than half (54.1%) of the sample were boys and 45.9% were girls.

  16. Bullying at school and mental health problems among adolescents: a

    Research is needed examining possible gender differences in perceived school stress and how these differences moderate associations between bullying and mental health. Strengths and limitations Strengths of the current study include the large participant sample from diverse schools; public and private, theoretical and practical orientations.

  17. Philippine EJournals| Understanding Bullying Experiences Among Filipino

    Using a socio-cultural perspective, the study developed a 48-item assessment tool that reflected the context-specific bullying experiences of Filipino high school students. Scale items were generated from the one-on-one interview results conducted among bullied high school students and from existing literature and studies on bullying. Exploratory Factor Analysis yielded a 3-factor structure of ...

  18. [PDF] School Violence in the Philippines: A Study on Programs and

    Local and international studies have affirmed the alarming situation of bullying and school violence involving Filipino children. The intensity of violence has reached a disturbing rate that has pushed policy-makers to formulate bullying prevention schemes. Despite organized attempts to make schools a safe environment, this dilemma poses critical risks that call for aggressive and determined ...

  19. Campus Bullying in the Senior High School: A Qualitative Case Study

    Abstract. The purpose of this qualitative case study was to describe the campus bullying experiences of senior high school students in a certain secondary school of Davao City, Philippines. Three ...

  20. Awareness and Incidence of Bullying among Public High School Students

    Bullying is an increasing problem globally, which affects school children over the years. The students who have experienced bullying have a greater risk of psychological distress. Likewise, the incidence of bullying has been increasing despite the efforts of the Philippine government and Department of Education. Moreover, the problem of bullying was even exacerbated by technology resulting in ...

  21. Online bullying remains prevalent in the Philippines, other ...

    In the Philippines, latest national data show that cyberviolence affects almost half of children aged 13-17 1. The prevalence of cyberviolence for males (44 per cent) is almost the same for females (43 per cent). One-third of cyberviolence experienced by Filipino children are in the form of verbal abuse over the internet or cellphone, while a ...

  22. Philippine Issues on School / Classroom Bullying

    The paper highlighted the issues of school bullying in the Philippines and its serious psychological consequences for victims that includes low psychological well-being, poor social adjustment, psychological distress and physical illness. ... The study made used of descriptive research design with questionnaire as the main instrument in ...

  23. Philippine EJournals| Effects of Bullying on the Academic Performance

    The study determined the effects of bullying on the academic performance of Grade 3 learners in Kitcharao District, Division of Agusan del Norte, Philippines. The researcher in the study used the descriptive survey method. The test questionnaires were administered to 147 respondents. Physical bullying, verbal bullying has been affecting the ...