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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
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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
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Authors are grateful to the Department for Social Affairs, Stockholm, for permission to use data from the Stockholm School Survey.
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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.
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Principal factor analysis description.
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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
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Original quantitative research The association of school connectedness and bullying involvement with multiple screen-time behaviours among youth in two Canadian provinces: a COMPASS study
Katapally tarun r..
1 Johnson Shoyama Graduate School of Public Policy, University of Regina, Regina, Saskatchewan, Canada
Thorisdottir Audur Sjofn
Laxer rachel, leatherdale scott t., introduction:.
Screen time, a proxy for sedentary behaviours, has emerged as a critical health determinant among youth in contemporary societies, where most aspects of youth life involve access to screen-time devices. An understudied approach to reducing screen time among youth is bullying reduction. This study aims to understand the association between bullying perpetration, victimization, youth perception of the school environment and multiple screen-time behaviours.
A total of 44,861 youth aged between 13 and 18 years in two Canadian provinces completed a validated questionnaire that collected student data on health behaviours and outcomes, including multiple screen-time behaviours, bullying perpetration and victimization, and school connectedness. The outcome variables were total screen time, time spent watching television, playing video games, internet surfing, and communication- based screen-time behaviours. Using a random intercept, the final models were built using PROC MIXED in SAS 9.4. These models were adjusted for age, ethnicity, weekly disposable income, daylight hours, and weather variables.
Compared to youth who reported non-involvement in bullying, youth who were bullies, victims, or both bullies and victims spent on average more minutes per day in front of screens across all screen time categories. Youth who felt happy and safe at school, and who perceived their teachers as being fair, reported lower levels of multiple screen-time behaviours.
Conclusion:
With non-involvement in bullying showing a strong negative association with multiple screen-time behaviours, school policies to address bullying and screen time through school connectedness could offer a novel approach in minimizing these harmful behaviours.
- Bullying perpetration, victimization, or both are associated with increased multiple screen-time behaviours among youth.
- Non-involvement in bullying is associated with decreased multiple screen-time behaviours among youth.
- Positive perception of the school environment and enhanced school connectedness could play an important role in minimizing screen time among youth.
- Strategies to minimize screen time among youth should move beyond limiting access to screen-time devices.
- School policies should target both bullying and screen time to maximize the reduction of these complex harmful behaviours.
Introduction
Screen time (ST), a proxy for sedentary behaviours, has emerged as a critical determinant of health among youth in contemporary societies, 1 , 2 where most aspects of youth life involve digital media. 3 , 4 ST is associated with a wide range of poor health outcomes, including obesity, metabolic syndrome, anxiety and depression, poor vision, and multiple risk behaviours such as smoking and other illicit drug use. 5 - 9
Evidence also suggests that time spent using computers and playing video games is associated with physical violence, 10 as well as increased loneliness, risk of online victimization, 11 and various functional problems such as peer-related issues and hyperactivity. 12 , 13 An important yet understudied avenue for reducing ST in youth may involve targeting negative social factors in their environment, such as bullying.
Bullying is a heterogeneous concept that refers to a wide array of repeated behaviours, including physical and verbal aggressions, intended to harm or intimidate individuals who are perceived as less powerful. 14 Bullying affects between 6 and 40 per cent of youth annually (youth sample consisted of ages 11, 13, and 15 years) 15 , 16 and has been linked to various poor health outcomes, such as depression, suicidal ideation, and physical inactivity. 17 - 19 Cyber-bullying is a special cause for concern as it is not confined to social settings and can occur anytime and anywhere through electronic devices. Online communication is also faster, more widespread, and sometimes anonymous with limited accountability, which can create disinhibition and distance from the victim that may prompt more severe aggressions 20 and lead to worse outcomes compared to other types of bullying (e.g., suicide attempts that need medical attention, heavier substance use). 21 , 22
Drawing upon existing literature on bullying interventions, school strategies such as environmental supervision (e.g., playground supervision) and educating school staff about appropriate strategies for intervening are somewhat effective in reducing aggressions and victimization among youth. 15 , 20 The effectiveness of anti-bullying endeavours may, however, be contingent upon students’ perceptions of school connectedness and environment. Rates of bullying are lower when students perceive their school environment as supportive and safe, the school climate is positive (e.g., staff/teachers provide caring atmosphere that promotes autonomy), and when students have positive relationships with teachers. 23 , 24
This study is based on the hypothesis that involvement in bullying (either perpetration, victimization, or both) and negative perceptions of the school environment and school connectedness are associated with increased ST in youth. The study aims to understand the association between bullying perpetration, victimization, and youth perception of the school environment and school connectedness on different types of ST behaviours after controlling for weather variation (a perennial factor that is known to influence sedentary behaviours) in two geographically and climatically distinct provinces in Canada (Ontario and Alberta). 25 - 27
COMPASS (2012-2021) is a cohort study collecting data from a focussed sample of secondary school students (grades 9 through 12) and the schools they attend in Ontario (n=79) and Alberta (n=10). 28 This study uses secondary cross-sectional student- and school-level data from Year 2 (2013-2014) of the COMPASS cohort. Year 2 data were used because Year 1 data consisted of a smaller sample of schools (www.compass.uwaterloo.ca). 28
Participants
Parents or guardians of eligible students were mailed an information letter or received an automated call about the COMPASS study and were asked to contact the COMPASS recruitment coordinator using a toll-free phone number or email address if they did not want their child to participate. Students whose parents or guardians did not contact the COMPASS team to withdraw their child were deemed eligible to participate. Students could also withdraw themselves and decline participation at any time. All procedures were approved by the University of Waterloo Office of Research Ethics and participating School Boards. In Ontario, out of a total 52,529 students enrolled in grades 9 to 12, 80.1% (N = 41 734) students completed the student- level COMPASS questionnaire (Cq) 28 ; in Alberta, out of a total of 4,700 students enrolled in grades 9 to 12, 77.1% (N = 3564) of students completed the Cq in class time on the day of their schools’ scheduled data collection.
Data collection tools
The Cq collects individual student data pertaining to demographic variables (e.g., age, ethnicity, disposable income) and health behaviours, including physical activity, ST-based sedentary behaviour, bullying, and school connectedness. Items measured on the Cq were based on national standards or current national public health guidelines. 28 To account for weather variation, weather and daylight data were obtained for each COMPASS school through the Environment Canada website’s Climate database. 29
Policies and programs related to physical activity and bullying were measured using the School Policies and Practices Questionnaire, a paper-based survey completed by the administrator most knowledgeable about the school’s program, practice, and policy environment. This survey measured the presence or absence of relevant programs and policies, as well as changes to school programs, policies, or resources, that are related to student health.
Student-level measures
Students were asked to report, via four individual items on the Cq, the average amount of time per day they had spent in each type of ST behaviour for the past 7 days: (1) watching/streaming TV shows or movies; (2) playing video/computer games; (3) surfing the internet; and (4) texting, messaging, and emailing. Total ST was measured as the sum of minutes for these four activities. Reported ST was not context-specific (e.g., school, home). Previous research found that the test re-test reliability for these individual items ranged from fair (TV: ICC = 0.56) to moderate (playing video or computer games: ICC = 0.65; surfing the internet: ICC = 0.71) to substantial (texting, messaging, emailing: ICC = 0.86). 30 , 31
Students reported their experience related to bullying by answering the following question: “In the last 30 days, in what ways were you bullied by other students?” with response options of “I did not get bullied by other students”; physical attacks, verbal attacks, or cyber-attacks; and stealing. They were also asked: “In the last 30 days, in what ways did you bully other students?” with response options of “I did not bully other students”; physical attacks, verbal attacks, or cyberattacks; and stealing. Perception of school environment and school connectedness was measured by asking students to strongly agree, agree, disagree, or strongly disagree with the following statements: “I feel close to people at my school,” “I feel I am a part of my school,” “I am happy to be at my school,” “I feel the teachers at my school treat me fairly,” “I feel safe in my school,” and “getting good grades is important to me.”
School-level measures
School level variables of interest for this study included policies to address bullying and enhance physical activity. Bullying policy questions for school administrators included examples such as, “Is bullying a problem in your school?” (Yes/No); “Does your school have any policies to address bullying?” (Yes/No. If yes, “Please list them” ( Table 1 ).
Weather and daylight data
All weather data were for the seven days prior to the Cq data collection date to match ST recall data. Data on maximum temperature (degrees Celsius [ ° C]), total rainfall (millimetres [mm]), and total daylight hours (sunrise to sunset) were collected.
All the analyses were carried out in SAS 9.4. The sample was divided into four groups (Ontario males and females, Alberta males and females) to develop five random-intercept linear regression models for each of the five outcomes. Random-intercept models were chosen because they account for the effects of clustering of children within each school. The primary assumption of these models is that the mean outcome for each school varies around a grand mean of the outcome for all schools. The estimated coefficients in the models are indicative of the amount of increase in the ST minutes associated with one-unit increase in the independent variables, holding other covariates fixed. The five outcomes were average minutes/day of total ST, and individual ST behaviours (television viewing, internet surfing, video gaming, communication- based ST). The models were adjusted for age, ethnicity, weekly disposable income, daylight hours, and weather variables.
As shown in Table 2 total ST (min/day) was similar among females (Ontario: mean = 473.7 ± 318.7; Alberta: 459.9 ± 325.0) and males (Ontario: mean = 481.5 ± 332; Alberta: 476.9 ± 340.5) in both provinces, with a major proportion of youth (41%) accumulating more than 7.5 hours of ST per day. Males in both Ontario and Alberta spent significantly more minutes per day playing video games than females (< 0.0001), whereas females spent significantly more minutes per day in communication-based ST behaviours and internet surfing (< 0.0001) ( Table 2 ). Time spent watching TV was similar between females and males in both provinces.
The prevalence of reported bullying victimization and perpetration was similar across the two provinces. In both provinces, the proportion of females who reported being bullied in the past 30 days was significantly higher than males (< 0.0001) ( Table 2 ). In contrast, in both provinces, the proportion of males who reported bullying others in the past 30 days was significantly higher than females (< 0.0001) ( Table 2 ). In both provinces, males reported being victims of significantly more physical attacks (< 0.0001) and females reported being victims of significantly more verbal and cyber-attacks (< 0.0001). Figures 1 and and2 2 show that in both Ontario and Alberta, youth who reported involvement in bullying, both as perpetrators and victims, also reported significantly higher ST in comparison with youth who reported being only perpetrators or only victims and youth who reported non-involvement (< 0.0001).
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Separate random-intercept linear effects models for males in Ontario, females in Ontario, and total youth (males and females) in Alberta examined the associations between youth perception of the school environment, school connectedness, and bullying involvement (perpetration, victimization) and non-involvement (i.e., those who were neither bullied nor bully others) with multiple ST behaviours ( Tables 3 , ,4, 4 , ,5 5 and and6). 6 ). Overall, higher perceived school connectedness was associated with lower ST across all groups (i.e., Ontario males, Ontario females, and total youth in Alberta). On the other hand, involvement in bullying, whether perpetration, victimization, or both, was associated with higher ST across all groups.
Ontario males
Among males in Ontario, feeling happy and safe at school and perceiving teachers as fair was associated with significantly lower total ST. Males who felt safe at school reported lower TV viewing time and males who felt like they were part of their school reported less time playing video games and surfing the Internet.
However, males who reported being close to people in their school spent more time in communication-based ST behaviours and accumulated more total ST.
Males who reported being attacked physically had significantly more TV viewing time and accumulated more total ST. Males who bullied others on the Internet and those who were responsible for damaging property or theft spent more time playing video games. Males who reported that they had engaged in verbal attacks against others spent significantly less time in communication-based ST behaviours. Males who were not bullied in any form reported significantly less time playing video games.
Ontario females
Among females in Ontario, feeling happy and safe at schools and perceiving teachers as fair was associated with significantly lower total ST. Females in Ontario who felt safe and part of their school reported lower TV viewing time. Females who reported being happy and safe at school reported less time surfing the internet. Feeling happy and safe at school and perceiving teachers as fair was further associated with fewer minutes per day spent in communication-based ST behaviours. Moreover, similar to the findings among males, feeling close to people at school was associated with significantly more communication-based ST behaviours and more total ST among females.
Females who reported cyber-attacks spent more time surfing the internet and in communication-based ST behaviours. Females who reported bullying others online also had significantly more communication- based ST behaviours. On the other hand, females who reported noninvolvement in bullying (i.e., those who did not bully or get bullied) reported significantly lower ST. Females who reported that they did not bully spent less time surfing the internet, in communicationbased ST behaviours, and accumulated lower total ST. Females who reported not being victims of bullying reported less time spent in communication-based ST behaviours and accumulated lower total ST.
Alberta youth
Females in Alberta who felt being part of their school reported significantly less time playing video games. Both females and males who reported cyber-attacks spent more time in communication-based ST behaviours, with females who reported cyber-attacks also accumulating more total ST. Females and males who reported that they had not bullied others spent significantly less time in communicationbased ST behaviours. Females and males who were not bullied spent significantly less time surfing the Internet and accumulated lower total ST, with females who were not bullied also spending less time in communication-based ST behaviours.
The purpose of this study was to examine the association between perception of school environment, school connectedness, and involvement in bullying with multiple ST behaviours among youth in a large sample spread across two Canadian provinces. Our hypothesis that involvement in bullying and negative perceptions of school environment and school connectedness are associated with higher ST was supported.
Average ST reported among youth in both provinces was more than 7.5 hours per day, which corroborates a nationally representative sample of youth in Canada. 32 The high ST accumulation among youth is attributed to constant access and exposure to diverse ST devices, both at school and at home. 33 Thus, it is essential that studies capture the entire range of ST behaviours. Males spent significantly more time playing video games than females, whereas females spent significantly more time in communication-based ST behaviours and surfing the internet. These findings highlight the need for gendered interventions in reducing ST among youth. 33
Females in Ontario who felt like they were part of their school spent less time on average watching TV. Previous research suggests that time spent watching TV is associated with loneliness and lower social engagement. 34 , 35 Youth who report feeling integrated in their school may be more likely to be actively involved in school activities and thus have higher social engagement and lower TV time.
However, feeling close to people at school was associated with more communication- based ST behaviours, and higher total ST among both males and females in Ontario. These findings are in line with previous research that shows that communication- based ST behaviours (e.g., short messaging services, instant messages) have become the primary and preferred method of interpersonal communication among youth and are associated with efforts to enhance belonging. 36 , 37 This increase in communication-based ST behaviours could explain higher total ST among youth who feel closer to people at school. There appear to be obvious tradeoffs in terms of various aspects of school connectedness and their relationship with different ST behaviours. Nevertheless, our models showed that both Ontario males and females who felt happy and safe at school and who perceived their teachers as being fair reported lower levels of multiple ST behaviours. This reiterates the point that a positive perception of the school environment and enhanced school connectedness could play an important role in minimizing ST among youth.
Bullying perpetration and victimization were both associated with increased ST among youth. Compared to youth who reported non-involvement in bullying, youth who were bullies, victims, and both bullies and victims spent on average more minutes per day in front of screens across all ST categories.
Prevalence of past-month involvement in bullying was approximately 20% among both females and males in Alberta and Ontario, which is similar to previously reported prevalence rates of bullying involvement in Canada. 38 Involvement in bullying differed between males and females by type of bullying behaviours. More males reported being victims and perpetrators of physical violence, perpetrators of verbal attacks, and perpetrators of property damage or theft. More females reported being victims of verbal attacks, and both victims and perpetrators of cyber-bullying. This evidence reiterates existing literature that suggests that males are more likely to engage in physical aggressions, whereas females tend to engage in bullying perpetration through social aggression. 38
One consistent pattern was that the victims of cyber-attacks were associated with more communication-based ST in all four cohorts. However, cyber-bullying perpetrators among Ontario females also had higher communication-based ST, which could potentially be explained by the evidence that females predominantly engage in bullying perpetration through social manipulation. 39
Females in both Ontario and Alberta spent significantly more time than males surfing the internet and in communication-based ST behaviour. Previous studies have also found that risk of cyber-bullying victimization is higher with more time spent on the internet, including more “chatting online.” 10 , 11 Cyber-bullying is different from other types of bullying in that it can occur anytime and anywhere through multiple digital devices. In addition, youth that engage in cyber-bullying perpetration are more likely to be involved in school bullying, either as a perpetrator or a victim. 11
Bullying perpetration through property damage and theft was associated with more time spent playing video games for males in Ontario. These findings are in line with Janssen et al.’s 10 prospective cohort study that found that video game use predicted physical violence among high school students.
Perhaps the most conclusive evidence of the strong association between bullying perpetration/victimization and ST behaviours is shown by the findings that among all four cohorts, non-involvement in bullying (i.e., youth who were not bullied or who did not bully) was associated with lower accumulation of multiple ST behaviours. ST behaviours are complex not only because they are enabled by a constant access to a range of multiple digital media devices (e.g., TV, desktop/laptop computers, tablets), but also because of the varied impact of each ST behaviour. For instance, both TV viewing and playing video games are associated with increased loneliness and poor social engagement, 13 , 32 , 33 with video games also being connected to physical violence 10 and TV viewing to poor nutritional choices associated with obesity. 40 , 41
Communication-based ST behaviours are more complicated because although they correlate with social engagement and connections, 36 they are also associated with cyber-bullying. 10 , 11 Furthermore, there is gendered variation in ST behaviours, with males spending significantly more time playing video games and females spending significantly more time accumulating communication-based ST behaviours.
With consistently increasing dependence on the use of multiple ST devices among youth, 32 restricting access to ST devices is becoming exceedingly difficult. Different types of ST behaviours can be accumulated via access to various devices. For example, youth can watch TV, play video games, surf the internet, and communicate via texts, online messaging, or emails using laptops, desktops, tablets, and even smartphones – sometimes simultaneously. In this scenario, strategies to minimize ST should move beyond limiting access to ST devices.
It is theoretically difficult to argue a linear, unidirectional relationship between multiple ST behaviours and bullying, especially with evidence from a cross-sectional study. ST and bullying are complex behaviours that need to be studied with more robust study designs, and a systems science perspective to delineate if their relationship is causal or more complex. 42 - 44 Nevertheless, the evidence of an association between bullying, school connectedness, and ST, has policy implications for schools to address bullying perpetration and the prevalence of multiple screentime behaviours.
With non-involvement in bullying showing a strong negative association with multiple ST behaviours, school policies to address both bullying and screen time could offer a novel approach in reducing harmful behaviours among youth. However, school policies should focus on improving youth perception of school environment and connectedness as this could enable pathways to prevent bullying and reduce ST.
Strengths and limitations
The major strength of the study is the sample size of schools and distribution of participants across two Canadian provinces who reported multiple ST behaviours. However, the modeling of multiple ST behaviours and the depiction as well as the interpretation of results can be challenging due to the large number of independent factors that need to be tested across different ST behaviours. Potential under reporting, recall bias, and missing data are the primary limitations of the study due to its reliance on self-reported surveys. Nevertheless, COMPASS survey measures specific to this study have previously demonstrated satisfactory reliability and validity. 29 Another limitation is the lack of context in terms of ST behaviours because we do not know the type of digital devices that youth were using to accumulate different types of ST behaviours and where they are using these devices (e.g., home, school). It is important to understand the nuances and distribution of ST behaviours across different devices and physical contexts to tailor ST reduction policy interventions.
Adapted ST surveys that capture the variation of ST behaviours accumulated over different types of screens or devices and ecological momentary assessments deployed through smartphones could provide the device and physical context lacking in current evidence. 45 Smartphone-based studies could also reduce recall bias and measure objective smartphone ST behaviour. 46 Finally, since this study is cross-sectional in nature, causal inferences cannot be made and there may be pathways through which more ST could result in greater exposure to bullying, especially when it comes to the association of computer usage and video games with physical violence 10 and the risk of online victimization. 11
This study is the first to simultaneously examine the association between involvement in bullying, youth perception of school environment/school connectedness, and multiple ST behaviours. Our findings suggest that school policies should focus on improving school connectedness and target both bullying and screen time to maximize the reduction of these complex harmful behaviours.
Acknowledgements
The COMPASS study was supported by a bridge grant from the Canadian Institutes of Health Research’s Institute of Nutrition, Metabolism and Diabetes through the "Obesity - Interventions to Prevent or Treat" priority funding awards (OOP- 110788; grant awarded to S. Leatherdale) and an operating grant from the Canadian Institutes of Health Research’s Institute of Population and Public Health (MOP- 114875; grant awarded to S. Leatherdale). We acknowledge Chad Bredin, the Project Manager of COMPASS, for enabling data acquisition and processing.
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Conflicts of interest
Apart from Dr. Leatherdale being the CIHR-PHAC Chair in Applied Public Health Research, and an Associate Scientific Editor with Health Promotion and Chronic Disease Prevention in Canada: Research, Policy and Practice , we declare that no other conflicts of interest exist.
Authors’ contributions and statement
TRK conceptualized the study, interpreted the data and drafted the paper. AST and RL interpreted the data and drafted the paper. WQ analyzed the data and drafted the paper. STL designed the study, and acquired and interpreted the data. All authors revised the paper and approved its final version.
The content and views expressed in this article are those of the authors and do not necessarily reflect those of the Government of Canada.
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Campus Bullying in the Senior High School: A Qualitative Case Study
- International Journal of Scientific & Technology Research 8(4):167-173
- 8(4):167-173
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ORIGINAL RESEARCH article
Understanding alternative bullying perspectives through research engagement with young people.
- School of Education and Social Care, Faculty of Health, Education, Medicine and Social Care, Anglia Ruskin University, Chelmsford, United Kingdom
Bullying research has traditionally been dominated by largescale cohort studies focusing on the personality traits of bullies and victims. These studies focus on bullying prevalence, risk and protective factors, and negative outcomes. A limitation of this approach is that it does not explain why bullying happens. Qualitative research can help shed light on these factors. This paper discusses the findings from four mainly qualitative research projects including a systematic review and three empirical studies involving young people to various degrees within the research process as respondents, co-researchers and commissioners of research. Much quantitative research suggests that young people are a homogenous group and through the use of surveys and other large scale methods, generalizations can be drawn about how bullying is understood and how it can be dealt with. Findings from the studies presented in this paper, add to our understanding that young people appear particularly concerned about the role of wider contextual and relational factors in deciding if bullying has happened. These studies underscore the relational aspects of definitions of bullying and, how the dynamics of young people’s friendships can shift what is understood as bullying or not. Moreover, to appreciate the relational and social contexts underpinning bullying behaviors, adults and young people need to work together on bullying agendas and engage with multiple definitions, effects and forms of support. Qualitative methodologies, in particular participatory research opens up the complexities of young lives and enables these insights to come to the fore. Through this approach, effective supports can be designed based on what young people want and need rather than those interpreted as supportive through adult understanding.
Introduction
Research on school bullying has developed rapidly since the 1970s. Originating in social and psychological research in Norway, Sweden, and Finland, this body of research largely focusses on individualized personality traits of perpetrators and victims ( Olweus, 1995 ). Global interest in this phenomenon subsequently spread and bullying research began in the United Kingdom, Australia, and the United States ( Griffin and Gross, 2004 ). Usually quantitative in nature, many studies examine bullying prevalence, risk and protective factors, and negative outcomes ( Patton et al., 2017 ). Whilst quantitative research collates key demographic information to show variations in bullying behaviors and tendencies, this dominant bullying literature fails to explain why bullying happens. Nor does it attempt to understand the wider social contexts in which bullying occurs. Qualitative research on the other hand, in particular participatory research, can help shed light on these factors by highlighting the complexities of the contextual and relational aspects of bullying and the particular challenges associated with addressing it. Patton et al. (2017) in their systematic review of qualitative methods used in bullying research, found that the use of such methods can enhance academic and practitioner understanding of bullying.
In this paper, I draw on four bullying studies; one systematic review of both quantitative and qualitative research ( O’Brien, 2009 ) and three empirical qualitative studies ( O’Brien and Moules, 2010 ; O’Brien, 2016 , 2017 ) (see Table 1 below). I discuss how participatory research methodologies, to varying degrees, were used to facilitate bullying knowledge production among teams of young people and adults. Young people in these presented studies were consequently involved in the research process along a continuum of involvement ( Bragg and Fielding, 2005 ). To the far left of the continuum, young people involved in research are referred to as “active respondents” and their data informs teacher practice. To the middle of the continuum sit “students as co-researchers” who work with teachers to explore an issue which has been identified by that teacher. Finally to the right, sit “students as researchers” who conduct their own research with support from teachers. Moving from left to right of the continuum shows a shift in power dynamics between young people and adults where a partnership develops. Young people are therefore recognized as equal to adults in terms of what they can bring to the project from their own unique perspective, that of being a young person now.
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Table 1. The studies.
In this paper, I advocate for the active involvement of young people in the research process in order to enhance bullying knowledge. Traditional quantitative studies have a tendency to homogenize young people by suggesting similarity in thinking about what constitutes bullying. However, qualitative studies have demonstrated that regardless of variables, young people understand bullying in different ways so there is a need for further research that starts from these perspectives and focusses on issues that young people deem important. Consequently, participatory research allows for the stories of the collective to emerge without losing the stories of the individual, a task not enabled through quantitative approaches.
What Is Bullying?
Researching school bullying has been problematic and is partly related to the difficulty in defining it ( Espelage, 2018 ). Broadly speaking, bullying is recognized as aggressive, repeated, intentional behavior involving an imbalance of power aimed toward an individual or group of individuals who cannot easily defend themselves ( Vaillancourt et al., 2008 ). In more recent times, “traditional” bullying behaviors have been extended to include cyber-bullying, involving the use of the internet and mobile-phones ( Espelage, 2018 ). Disagreements have been noted in the literature about how bullying is defined by researchers linked to subject discipline and culture. Some researchers for example, disagree about the inclusion or not of repetition in definitions ( Griffin and Gross, 2004 ) and these disagreements have had an impact on interpreting findings and prevalence rates. However, evidence further suggests that young people also view bullying in different ways ( Guerin and Hennessy, 2002 ; Cuadrado-Gordillo, 2012 ; Eriksen, 2018 ). Vaillancourt et al. (2008) explored differences between researchers and young people’s definitions of bullying, and found that children’s definitions were usually spontaneous, and did not always encompass the elements of repetition, power imbalance and intent. They concluded, that children need to be provided with a bullying definition so similarities and comparisons can be drawn. In contrast, Huang and Cornell (2015) found no evidence that the inclusion of a definition effected prevalence rates. Their findings, they suggest, indicate that young people use their own perceptions of bullying when answering self-report questionnaires and they are not influenced by an imposed definition.
Nevertheless, differences in children and young people’s bullying definitions are evident in the research literature and have been explained by recourse to age and stage of development ( Smith et al., 2002 ) and their assumed lack of understanding about what constitutes bullying ( Boulton and Flemington, 1996 ). Naylor et al. (2001) for example, found that younger children think similarly in their definitions of bullying, while Smith et al. (2002) found that 8 year olds did not distinguish as clearly between different forms of behavioral aggression as 14 year olds. Methodological limitations associated with understanding bullying have been identified by Forsberg et al. (2018) and Maunder and Crafter (2018) . These authors postulate that quantitative approaches, although providing crucial insights in understanding bullying, are reliant on pre-defined variables, which can shield some of the complexities that qualitative designs can unravel, as individual experiences of bullying are brought to the fore. Indeed, La Fontaine (1991) suggests that unlike standard self-report questionnaires and other quantitative methods used to collect bullying data, analyzing qualitative data such as those collected from a helpline, enables the voice of young people to be heard and consequently empowers adults to understand bullying on their terms rather than relying solely on interpretations and perceptions of adults. Moore and Maclean (2012) collected survey, as well as interview and focus group data, on victimization occurring on the journey to and from school. They found that what young people determined as victimization varied and was influenced by a multifaceted array of circumstances, some of which adults were unaware of. Context for example, played an important role where certain behaviors in one situation could be regarded as victimization while in another they were not. Specific behaviors including ignoring an individual was particularly hurtful and supporting a friend who was the subject of victimization could lead to their own victimization.
Lee (2006) suggests that some bullying research does not reflect individual experiences, and are thus difficult for participants to relate to. Canty et al. (2016) reiterates this and suggests that when researchers provide young people with bullying definitions in which to position their own experiences, this can mask some of the complexities that the research intends to uncover. Such approaches result in an oversight into the socially constructed and individual experiences of bullying ( Eriksen, 2018 ). Griffin and Gross (2004) further argue that when researchers use vague or ambiguous definitions an “overclassification of children as bullies or victims” (p. 381) ensues. Consequently, quantitative research does not consider children as reliable in interpreting their own lived experiences and therefore some of the interactions they consider as bullying, that do not fit within the conventional definitions, are concealed. This approach favors the adult definition of bullying regarding it as “more reliable” than the definitions of children and young people Canty et al. (2016) . The perceived “seriousness” of bullying has also been explored. Overall, young people and adults are more likely to consider direct bullying (face-to-face actions including hitting, threatening and calling names) as “more serious” than indirect bullying (rumor spreading, social exclusion, forcing others to do something they do not want to do) ( Maunder et al., 2010 ; Skrzypiec et al., 2011 ). This perception of “seriousness,” alongside ambiguous definitions of bullying, has further implications for reporting it. Despite the advice given to young people to report incidents of school bullying ( Moore and Maclean, 2012 ), the literature suggests that many are reluctant to do so ( deLara, 2012 ; Moore and Maclean, 2012 ).
Several factors have been highlighted as to why young people are reluctant to report bullying ( Black et al., 2010 ). deLara (2012) , found apprehension in reporting bullying to teachers due to the fear that they will either not do enough or too much and inadvertently make the situation worse, or fear that teachers will not believe young people. Research also shows that young people are reluctant to tell their parents about bullying due to perceived over-reaction and fear that the bullying will be reported to their school ( deLara, 2012 ; Moore and Maclean, 2012 ). Oliver and Candappa (2007) suggest that young people are more likely to confide in their friends than adults (see also Moore and Maclean, 2012 ; Allen, 2014 ). However, if young people believe they are being bullied, but are unable to recognize their experiences within a predefined definition of bullying, this is likely to impact on their ability to report it.
Research from psychology, sociology, education and other disciplines, utilizing both quantitative and qualitative approaches, have enabled the generation of bullying knowledge to date. However, in order to understand why bullying happens and how it is influenced by wider social constructs there is a need for further qualitative studies, which hear directly from children and young people themselves. The next section of this paper discusses the theoretical underpinnings of this paper, which recognizes that young people are active agents in generating new bullying knowledge alongside adults.
Theoretical Underpinnings – Hearing From Children and Young People
The sociology of childhood ( James, 2007 ; Tisdall and Punch, 2012 ) and children’s rights agenda more broadly ( United Nations Convention on the Rights of the Child, 1989 ) have offered new understandings and methods for research which recognize children and young people as active agents and experts on their own lives. From this perspective, research is conducted with rather than on children and young people ( Kellett, 2010 ).
Participatory methodologies have proven particularly useful for involving young people in research as co-researchers (see for example O’Brien and Moules, 2007 ; Stoudt, 2009 ; Kellett, 2010 ; Spears et al., 2016 ). This process of enquiry actively involves those normally being studied in research activities. Previously, “traditional” researchers devalued the experiences of research participants arguing that due to their distance from them, they themselves are better equipped to interpret these experiences ( Beresford, 2006 ). However, Beresford (2006) suggests that the shorter the distance between direct experience and interpretation, the less distorted and inaccurate the resulting knowledge is likely to be. Jones (2004) further advocates that when young people’s voices are absent from research about them the research is incomplete. Certainly Spears et al. (2016) , adopted this approach in their study with the Young and Well Cooperative Research Centre (CRC) in Australia. Young people played an active role within a multidisciplinary team alongside researchers, practitioners and policymakers to co-create and co-evaluate the learning from four marketing campaigns for youth wellbeing through participatory research. Through this methodological approach, findings show that young people were able to reconceptualize mental health and wellbeing from their own perspectives as well as share their lived experiences with others ( Spears et al., 2016 ). Bland and Atweh (2007) , Ozer and Wright (2012) , highlight the benefits afforded to young people through this process, including participating in dialog with decision-makers and bringing aspects of teaching and learning to their attention.
Against this background, data presented for this paper represents findings from four studies underpinned by the ethos that bullying is socially constructed and is best understood by exploring the context to which it occurs ( Schott and Sondergaard, 2014 ; Eriksen, 2018 ). This socially constructed view focusses on the evolving positions within young people’s groups, and argues that within a bullying situation sometimes a young person is the bully, sometimes the victim and sometimes the bystander/witness, which contrasts the traditional view of bullying ( Schott and Sondergaard, 2014 ). The focus therefore is on group relationships and dynamics. For that reason, Horton (2011) proposes that if bullying is an extensive problem including many young people, then focusing entirely on personality traits will not generate new bullying knowledge and will be problematic in terms of interventions. It is important to acknowledge that this change in focus and view of bullying and how it is manifested in groups, does not negate the individual experiences of bullying rather the focus shifts to the process of being accepted, or not, by the group ( Schott and Sondergaard, 2014 ).
The Studies
This section provides a broad overview of the four included studies underpinned by participatory methodologies. Table 1 presents the details of each study. Young people were involved in the research process as respondents, co-researchers and commissioners of research, along a continuum as identified by Bragg and Fielding (2005) . This ranged from “active respondents” to the left of the continuum, “students as co-researchers” in the middle and “students as researchers” to the right of the continuum. Young people were therefore recognized as equal to adults in terms of what they can bring to the project from their own unique perspectives ( Bradbury-Jones et al., 2018 ).
A key finding from study one ( O’Brien, 2009 ) was the lack of voice afforded to young people through the research process and can be seen to reflect the far left of Bragg and Fielding (2005) continuum, as young people were not directly involved as “active respondents” but their views were included in secondary data analysis and informed the studies that followed. For example, the quantitative studies used an agreed academic definition of bullying which may or may not have influenced how young participants defined bullying within the studies. On the other hand, the qualitative study involved a group of students in deciding which questions to ask of the research participants and in interpreting the findings.
In contrast, study two ( O’Brien and Moules, 2010 ) was commissioned and led by a group of young people called PEAR (Public health, Education, Awareness, Researchers), who were established to advise on public health research in England. PEAR members were based in two large English cities and comprised 20 young people aged between 13 and 20 years. The premise of the study was that PEAR members wanted to commission research into cyber bullying and the effects this has on mental health from the perspectives of young people rather than adult perspectives. This project was innovative as young people commissioned the research and participated as researchers ( Davey, 2011 ) and can be seen to reflect the middle “students as co-researchers” as well as moving toward to right “students as researchers” of Bragg and Fielding (2005) continuum. Although the young people did not carry out the day-to-day work on the project, they were responsible for leading and shaping it. More importantly, the research topic and focus were decided with young people and adults together.
Study three ( O’Brien, 2016 ) involved five self-selecting students from an independent day and boarding school who worked with me to answer this question: What do young people in this independent day and boarding school view as the core issue of bullying in the school and how do they want to address this? These students called themselves R4U (Research for You) with the slogan researching for life without fear . Three cycles of Participatory Action Research (PAR) ensued, where decision making about direction of the research, including methods, analysis and dissemination of findings were made by the research team. As current students of the school, R4U had a unique “insider knowledge” that complemented my position as the “academic researcher.” By working together to generate understanding about bullying at the school, the findings thus reflected this diversity in knowledge. As the project evolved so too did the involvement of the young researchers and my knowledge as the “outsider” (see O’Brien et al., 2018a for further details). Similar to study two, this project is situated between the middle: “students as co-researchers” and the right: “students as researchers” of Bragg and Fielding (2005) continuum.
Study four ( O’Brien, 2017 ) was small-scale and involved interviewing four young people who were receiving support from a charity providing therapeutic and educational support to young people who self-exclude from school due to anxiety, as a result of bullying. Self-exclusion, for the purposes of this study, means that a young person has made a decision not to go to school. It is different from “being excluded” or “truanting” because these young people do not feel safe at school and are therefore too anxious to attend. Little is known about the experiences of young people who self-exclude due to bullying and this study helped to unravel some of these issues. This study reflects the left of Bragg and Fielding (2005) continuum where the young people were involved as “active respondents” in informing adult understanding of the issue.
A variety of research methods were used across the four studies including questionnaires, interviews and focus groups (see Table 1 for more details). In studies two and three, young researchers were fundamental in deciding the types of questions to be asked, where they were asked and who we asked. In study three the young researchers conducted their own peer-led interviews. The diversity of methods used across the studies are a strength for this paper. An over-reliance on one method is not portrayed and the methods used reflected the requirements of the individual studies.
Informed Consent
Voluntary positive agreement to participate in research is referred to as “consent” while “assent,” refers to a person’s compliance to participate ( Coyne, 2010 ). The difference in these terms are normally used to distinguish the “legal competency of children over and under 16 years in relation to research.” ( Coyne, 2010 , 228). In England, children have a legal right to consent so therefore assent is non-applicable ( Coyne, 2010 ). However, there are still tensions surrounding the ability of children and young people under the age of 18 years to consent in research which are related to their vulnerability, age and stage of development ( Lambert and Glacken, 2011 ). The research in the three empirical studies (two, three and four) started from the premise that all young participants were competent to consent to participate and took the approach of Coyne (2010) who argues that parental/carer consent is not always necessary in social research. University Research Ethics Committees (RECs) are nonetheless usually unfamiliar with the theoretical underpinnings that children are viewed as social actors and generally able to consent for themselves ( Lambert and Glacken, 2011 ; Fox, 2013 ; Parsons et al., 2015 ).
In order to ensure the young people in these reported studies were fully informed of the intentions of each project and to adhere to ethical principles, age appropriate participant information sheets were provided to all participants detailing each study’s requirements. Young people were then asked to provide their own consent by signing a consent form, any questions they had about the studies were discussed. Information sheets were made available to parents in studies three and four. In study two, the parents of young people participating in the focus groups were informed of the study through the organizations used to recruit the young people. My full contact details were provided on these sheets so parents/carers could address any queries they had about the project if they wished. When young people participated in the online questionnaire (study two) we did not know who they were so could not provide separate information to parents. Consequently, all participants were given the opportunity to participate in the research without the consent of their parents/carers unless they were deemed incompetent to consent. In this case the onus was on the adult (parent or carer for example) to prove incompetency ( Alderson, 2007 ). Favorable ethical approval, including approval for the above consent procedures, was granted by the Faculty Research Ethics Committee at Anglia Ruskin University.
In the next section I provide a synthesis of the findings across the four studies before discussing how participatory research with young people can offer new understandings of bullying and its impacts on young people.
Although each study was designed to answer specific bullying research questions, the following key themes cut across all four studies 1 :
• Bullying definitions
◦ Behaviors
• Impact of bullying on victim
• Reporting bullying
Bullying Definitions
Young people had various understandings about what they considered bullying to be. Overall, participants agreed that aggressive direct behaviors, mainly focusing on physical aggression, constituted bullying:
“…if someone is physically hurt then that is bullying straight away.” (Female, study 3).
“I think [cyber-bullying is] not as bad because with verbal or physical, you are more likely to come in contact with your attacker regularly, and that can be disturbing. However, with cyber-bullying it is virtual so you can find ways to avoid the person.” (Female, study 2).
Name-calling was an ambiguous concept, young people generally believed that in isolation name-calling might not be bullying behavior or it could be interpreted as “joking” or “banter”:
“I never really see any, a bit of name calling and taking the mick but nothing ever serious.” (Male, study 3).
The concept of “banter” or “joking” was explored in study three as a result of the participatory design. Young people suggested “banter” involves:
“…a personal joke or group banter has no intention to harm another, it is merely playful jokes.” (Female, study 3).
However, underpinning this understanding of “banter” was the importance of intentionality:
“Banter saying things bad as a joke and everyone knows it is a joke.” (Male, study 3).
“Banter” was thus contentious when perception and reception were ambiguous. In some cases, “banter” was considered “normal behavior”:
“…we’ve just been joking about, but it’s never been anything harsh it’s just been like having a joke…” (Male, study 3).
The same view was evident in relation to cyber-bullying. Some participants were rather dismissive of this approach suggesting that it did not exist:
“I don’t really think it exists. If you’re being cyber-“bullied” then there is something wrong with you- it is insanely easy to avoid, by blocking people and so on. Perhaps it consists of people insulting you online?” (Male, study 2).
When young people considered additional factors added to name calling such as the type of name-calling, or aspects of repetition or intention, then a different view was apparent.
“…but it has to be constant it can’t be a single time because that always happens.” (Male, study 3).
Likewise with words used on social media, young people considered intentionality in their consideration of whether particular behaviors were bullying, highlighting important nuances in how bullying is conceptualized:
“Some people they don’t want to sound cruel but because maybe if you don’t put a smiley face on it, it might seem cruel when sometimes you don’t mean it.” (Female, study 2).
Study one also found that young people were more likely to discuss sexist or racist bullying in interviews or focus groups but this information was scarce in the questionnaire data. This is possibly as a result of how the questions were framed and the researchers’ perspectives informing the questions.
Evident across the four studies was the understanding young people had about the effects of continuous name-calling on victims:
“…you can take one comment, you can just like almost brush it off, but if you keep on being bullied and bullied and bullied then you might kind of think, hang on a minute, they’ve taken it a step too far, like it’s actually become more personal, whereas just like a cheeky comment between friends it’s become something that’s more serious and more personal and more annoying or hurtful to someone.” (Female, study 3).
“Cyber-bullying is basically still verbal bullying and is definitely psychological bullying. Any bullying is psychological though, really. And any bullying is going to be harmful.” (Female, study 2).
Aspects of indirect bullying (social exclusion) were features of studies one and three. For the most part, the research reviewed in study one found that as young people got older they were less likely to consider characteristics of social exclusion in their definitions of bullying. In study three, when discussing the school’s anti-bullying policy, study participants raised questions about “ isolating a student from a friendship group .” Some contested this statement as a form of bullying:
“…. there is avoiding, as in, not actively playing a role in trying to be friends which I don’t really see as bullying I see this as just not getting someone to join your friendship group. Whereas if you were actually leaving him out and rejecting him if he tries to be friends then I think I would see that as malicious and bullying.” (Male, study 3).
“Isolating a student from a friendship group – I believe there are various reasons for which a student can be isolated from a group – including by choice.” (Female, study 3).
Cyber-bullying was explored in detail in study two but less so in the other three studies. Most study two participants considered that cyber-bullying was just as harmful, or in some cases worse than, ‘traditional’ bullying due to the use of similar forms of “harassment,” “antagonizing,” “tormenting,” and ‘threatening’ through online platforms. Some young people believed that the physical distance between the victim and the bully is an important aspect of cyber-bullying:
“I think it’s worse because people find it easier to abuse someone when not face to face.” (Male, study 2).
“I think it could be worse, because lots of other people can get involved, whereas when it’s physical bullying it’s normally just between one or two or a smaller group, things could escalate too because especially Facebook, they’ve got potential to escalate.” (Female, study 2).
Other participants in study two spoke about bullying at school which transfers to an online platform highlighting no “escape” for some. In addition, it was made clearer that some young people considered distancing in relation to bullying and how this influences perceptions of severity:
“…when there’s an argument it can continue when you’re not at school or whatever and they can continue it over Facebook and everyone can see it then other people get involved.” (Female, study 2).
“I was cyber-bullied on Facebook, because someone put several hurtful comments in response to my status updates and profile pictures. This actually was extended into school by the bully…” (Male, study 2).
Impact of Bullying on Victim
Although bullying behaviors were a primary consideration of young people’s understanding of bullying, many considered the consequences associated with bullying and in particular, the impact on mental health. In these examples, the specifics of the bullying event were irrelevant to young people and the focus was on how the behavior was received by the recipient.
In study two, young people divulged how cyber-bullying had adversely affected their ability to go to school and to socialize outside school. Indeed some young people reported the affects it had on their confidence and self-esteem:
“I developed anorexia nervosa. Although not the single cause of my illness, bullying greatly contributed to my low self-esteem which led to becoming ill.” (Female, study 2).
“It hurts people’s feelings and can even lead to committing suicide….” (Female, study 2).
Across the studies, young people who had been bullied themselves shared their individual experiences:
“….you feel insecure and it just builds up and builds up and then in the end you have no self-confidence.” (Female, study 2).
“…it was an everyday thing I just couldn’t take it and it was causing me a lot of anxiety.” (Male, study 4).
“I am different to everyone in my class …. I couldn’t take it no more I was upset all the time and it made me feel anxious and I wasn’t sleeping but spent all my time in bed being sad and unhappy.” (Male, study 4).
Young people who had not experienced bullying themselves agreed that the impact it had on a person was a large determiner of whether bullying had happened:
“When your self-confidence is severely affected and you become shy. Also when you start believing what the bullies are saying about you and start to doubt yourself.” (Female, study 3).
“…it makes the victim feel bad about themselves which mostly leads to depression and sadness.” (Male, study 2).
Further evidence around the impact of bullying was apparent in the data in terms of how relational aspects can affect perceived severity. In the case of cyber-bullying, young people suggested a sense of detachment because the bullying takes place online. Consequently, as the relational element is removed bullying becomes easier to execute:
“…because people don’t have to face them over a computer so it’s so much easier. It’s so much quicker as well cos on something like Facebook it’s not just you, you can get everyone on Facebook to help you bully that person.” (Female, study 2).
“Due to technology being cheaper, it is easier for young people to bully people in this way because they don’t believe they can be tracked.” (Male, study 2).
“The effects are the same and often the bullying can be worse as the perpetrator is unknown or can disguise their identity. Away from the eyes of teachers etc., more can be done without anyone knowing.” (Female, study 2).
Relational aspects of bullying were further highlighted with regards to how “banter” was understood, particularly with in-group bullying and how the same example can either be seen as “banter” or bullying depending on the nature of the relationship:
“…we’ve just been joking about, but it’s never been anything harsh it’s just been like having a joke. well, I haven’t done it but I’ve been in a crowd where people do it, so I don’t want to get involved just in case it started an argument.” (Female, study 3).
“But it also depends…who your groups with, for example, if I spoke to my friends from [School]… I wouldn’t like use taboo language with them because to them it may seem inappropriate and probably a bit shocked, but if I was with my friends outside of school we use taboo language, we’ll be ourselves and we’ll be comfortable with it, and if a stranger walked past and heard us obviously they’d be thinking that we’re being bullied ourselves.” (Female, study 3).
Furthermore, how individuals are perceived by others tended to influence whether they were believed or not. In study four for example, participants suggested that who the bullies were within the school might have impacted how complaints were acted upon by school officials:
“When I went to the school about it, the students said I had attacked them – all eight of them! I just realized that no one believes me….” (Female, study 4).
While in study three, a characteristic of bullying was the influence the aggressor has over the victim:
“When the victim starts to feel in danger or start to fear the other person. Consequently he or she tries to avoid the bad guy (or girl!)” (Male, study 3).
These relational and contextual issues also influenced a young person’s ability to report bullying.
Reporting Bullying
Young people were more likely to report bullying when they considered it was ‘serious’ enough. Just under half of participants in study two sought emotional/practical support if they worried about, or were affected by cyber-bullying, with most talking to their parents. In study three, young people were less likely to seek support but when they did, most went to their teachers. In study four, all participants reported bullying in school where they did not feel supported.
Fear of making the bullying worse was captured across the studies as a reason for not reporting it:
“I’m scared that if I tell then the bullying will still go on and they will do more.” (Female, study 3).
“The bully might bully you if he finds out.” (Male, study 3).
Being able to deal with the incident themselves was also a reason for non-reporting:
“…it’s embarrassing and not necessary, my friends help me through it, adults never seem to understand.” (Female, study 2).
“I don’t tend to talk to anyone about it, I just keep it to myself and obviously that’s the worst thing you should ever do, you should never keep it to yourself, because I regret keeping it to myself to be honest….” (Female, study 3).
“…but I think I’d deal with it myself ‘cos. I was quite insecure but now I’m quite secure with myself, so I’ll sort it out myself. I think it’s just over time I’ve just sort of hardened to it.” (Male, study 3).
Most young people seeking support for bullying said they spoke to an adult but the helpfulness of this support varied. This finding is important for understanding relationships between young people and adults. Those who felt supported by their teachers for example, suggested that they took the time to listen and understood what they were telling them. They also reassured young people who in turn believed that the adult they confided in would know what to do:
“So I think the best teacher to talk to is [Miss A] and even though people are scared of her I would recommend it, because she’s a good listener and she can sense when you don’t want to talk about something, whereas the other teachers force it out of you.” (Female, study 3).
“My school has had assemblies about cyber-bullying and ways you can stop it or you can report it anonymously…. you can write your name or you can’t, it’s all up to YOU.” (Male, study 2).
Others however had a negative experience of reporting bullying and a number of reasons were provided as to why. Firstly, young people stated that adults did not believe them which made the bullying worse on some level:
“I went to the teachers a couple of times but, no, I don’t think they could do anything. I did sort of go three times and it still kept on going, so I just had to sort of deal with it and I sort of took it on the cheek….” (Male, study 3).
Secondly, young people suggested that adults did not always listen to their concerns, or in some cases did not take their concerns seriously enough:
“…I had had a really bad day with the girls so I came out and I explained all this to my head of year and how it was affecting me but instead of supporting me he put me straight into isolation.” (Male, study 4).
“I could understand them thinking I maybe got the wrong end of the stick with one incident but this was 18 months of me constantly reporting different incidents.” (Female, study 4).
“If cyber-bullying is brought to our school’s attention, usually, they expect printed proof of the situation and will take it into their own hand depending on its seriousness. However this is usually a couple of detentions. And it’s just not enough.” (Female, study 2).
Finally, some young people suggested that teachers did not always know what to do when bullying concerns were raised and consequently punished those making the complaint:
“I think I would have offered support instead of punishment to someone who was suffering with anxiety. I wouldn’t have seen anxiety as bad behavior I think that’s quite ignorant but they saw it as bad behavior.” (Male, study 4).
It is worth reiterating, that the majority of young people across the studies did not report bullying to anybody , which further underscores the contextual issues underpinning bullying and its role in enabling or disabling bullying behaviors. Some considered it was “pointless” reporting the bullying and others feared the situation would be made worse if they did:
“My school hide and say that bullying doesn’t go on cos they don’t wanna look bad for Ofsted.” (Male, study 2).
“My school is oblivious to anything that happens, many things against school rules happen beneath their eyes but they either refuse to acknowledge it or are just not paying attention so we must suffer.” (Female, study 2).
“That’s why I find that when you get bullied you’re scared of telling because either, in most cases the teacher will – oh yeah, yeah, don’t worry, we’ll sort it out and then they don’t tend to, and then they get bullied more for it.” (Female, study 3).
Young people were concerned that reporting bullying would have a negative impact on their friendship groups. Some were anxious about disrupting the status quo within:
“I think everyone would talk about me behind my back and say I was mean and everyone would hate me.” (Female, study 3).
Others expressed concern about the potential vulnerability they were likely to experience if they raised concerns of bullying:
“I was worried it might affect my other friendships.”(Boy, study 2).
“I’m scared that if I tell, then the bullying will still go on and they will do more.” (Female, study 3).
“….because they might tell off the bullies and then the bullies will like get back at you.” (Female, study 3).
These findings underscore the importance of contextual and relational factors in understanding bullying from the perspectives of young people and how these factors influence a young person’s ability or willingness to report bullying.
Finally one young person who had self-excluded from school due to severe bullying suggested that schools:
“…need to be looking out for their students’ mental wellbeing – not only be there to teach them but to support and mentor them. Keep them safe really… I missed out on about three years of socializing outside of school because I just couldn’t do it. I think it’s important that students are encouraged to stand up for each other.” (Female, study 4).
The studies presented in this paper illustrate the multitude of perceptions underpinning young people’s understandings of what constitutes bullying, both in terms of the behavior and also the impact that this behavior has on an individual. In turn, the ambiguity of what constitutes bullying had an impact on a young person’s ability to seek support. Discrepancies in bullying perceptions within and between young people’s groups are shown, highlighting the fluid and changing roles that occur within a bullying situation. Findings from quantitative studies have demonstrated the differing perceptions of bullying by adults and young people (see for example Smith et al., 2002 ; Vaillancourt et al., 2008 ; Maunder et al., 2010 ; Cuadrado-Gordillo, 2012 ). However, by combining findings from participatory research, new understandings of the relational and contextual factors important to young people come to the fore.
Young people participating in these four studies had unique knowledge and experiences of bullying and the social interactions of other young people in their schools and wider friendship groups. The underpinning participatory design enabled me to work alongside young people to analyze and understand their unique perspectives of bullying in more detail. The research teams were therefore able to construct meaning together, based not entirely on our own assumptions and ideologies, but including the viewpoint of the wider research participant group ( Thomson and Gunter, 2008 ). Together, through the process of co-constructing bullying knowledge, we were able to build on what is already known in this field and contribute to the view that bullying is socially constructed through the experiences of young people and the groups they occupy ( Schott and Sondergaard, 2014 ).
With regards to understanding what bullying is, the findings from these studies corroborate those of the wider literature from both paradigms of inquiry (for example Naylor et al., 2001 ; Canty et al., 2016 ); that being the discrepancies in definitions between adults and young people and also between young people themselves. Yet, findings here suggest that young people’s bullying definitions are contextually and relationally contingent. With the exception of physical bullying, young people did not differentiate between direct or indirect behaviors, instead they tended to agree that other contextual and relational factors played a role in deciding if particular behaviors were bullying (or not). The participatory research design enabled reflection and further investigation of the ideas that were particularly important to young people such as repetition and intentionality. Repetition was generally seen as being indicative of bullying being “serious,” and therefore more likely to be reported, and without repetition, a level of normality was perceived. This finding contradicts some work on bullying definitions, Cuadrado-Gordillo (2012) for example found that regardless of the role played by young people in a bullying episode (victim, aggressor or witness), the criteria of ‘repetition’ was not important in how they defined bullying.
Relational factors underpinning young people’s perception of bullying and indeed it’s “seriousness” were further reflected in their willingness or otherwise to report it. Fear of disrupting the status quo of the wider friendship group, potentially leading to their own exclusion from the group, was raised as a concern by young people. Some were concerned their friends would not support them if they reported bullying, while others feared further retaliation as a result. Friendship groups have been identified as a source of support for those who have experienced bullying and as a protective factor against further bullying ( Allen, 2014 ). Although participants did not suggest their friendship groups are unsupportive it is possible that group dynamics underscore seeking (or not) support for bullying. Other literature has described such practices as evidence of a power imbalance ( Olweus, 1995 ; Cuadrado-Gordillo, 2012 ) but young people in these studies did not describe these unequal relationships in this way and instead focused on the outcomes and impacts of bullying. Indeed Cuadrado-Gordillo (2012) also found that young people in their quantitative study did not consider “power imbalance” in their understanding of bullying and were more likely to consider intention. This paper, however, underscores the relational aspects of definitions of bullying and, how the dynamics of young people’s friendships can shift what is understood as bullying or not. Without such nuances, some behaviors may be overlooked as bullying, whereas other more obvious behaviors draw further attention. This paper also shows that contextual issues such as support structures can shift how young people see bullying. Contextual factors were evident across the four studies through the recognition of bullying being enabled or disabled by institutional factors, including a school’s ability to respond appropriately to bullying concerns. Young people suggested that schools could be influenced by bullies, perceiving them as non-threatening and consequently not dealing appropriately with the situation. Indeed some young people reported that their schools placed the onus on them as victims to change, consequently placing the “blame” on victims instead. These findings raise questions about who young people feel able to confide in about bullying as well as issues around training and teacher preparedness to deal with bullying in schools. Evidenced in these four studies, is that young people feel somewhat disconnected from adults when they have bullying concerns. Those who did report bullying, identified particular individuals they trusted and knew would support them. Novick and Isaacs (2010) identified teachers who young people felt comfortable in approaching to report bullying and described them as “most active, engaged and responsive.” (p. 291). The bullying literature suggests that as young people get older they are more likely to confide in friends than adults ( Moore and Maclean, 2012 ; Allen, 2014 ). However, findings from this paper indicate that although fewer young people reported bullying, those who did confided in an adult. Young people have identified that a variety of supports are required to tackle bullying and that adults need to listen and work with them so nuanced bullying behaviors are not recognized as “normal” behaviors. Within the data presented in this paper, “banter” was portrayed as “normal” behavior. Young people did not specify what behaviors they regarded as “banter,” but suggested that when banter is repeated and intentional the lines are blurred about what is bullying and what is banter.
Exploring bullying nuances in this paper, was enhanced by the involvement of young people in the research process who had a unique “insider” perspective about what it is like to be a young person now and how bullying is currently affecting young people. In studies one and four, young people were “active respondents” ( Bragg and Fielding, 2005 ) and provided adults with their own unique perspectives on bullying. It could be argued that study one did not involve the participation of young people. However, this study informed the basis of the subsequent studies due to the discrepancies noted in the literature about how bullying is understood between adults and young people, as well as the lack of young people’s voice and opportunity to participate in the reviewed research. Accordingly, young people’s data as “active respondents” informed adult understanding and led to future work involving more active research engagement from other young people. Participation in study four provided an opportunity for young people to contribute to future participatory research based on lived experiences as well as informing policy makers of the effects bullying has on the lives of young people ( O’Brien, 2017 ). In studies two and three, young people were involved further along Bragg and Fielding (2005) continuum as “co-researchers” and “students as researchers” with these roles shifting and moving dependent on the context of the project at the time ( O’Brien et al., 2018a ). These young researchers brought unique knowledge to the projects ( Bradbury-Jones et al., 2018 ) that could not be accessed elsewhere. Perspectives offered by the young researchers supported adults in understanding more about traditional and cyber-bullying from their perspectives. Furthermore, this knowledge can be added to other, quantitative studies to further understand why bullying happens alongside bullying prevalence, risk and protective factors, and negative outcomes.
Findings from the four studies offer an alternative perspective to how bullying is understood by young people. Complexities in defining bullying have been further uncovered as understanding is informed by individual factors, as well as wider social and relational contexts ( Horton, 2011 ; Schott and Sondergaard, 2014 ). This has implications for the type of support young people require. This paper highlights how definitions of bullying shift in response to relational and contextual aspects deemed important to young people. Because of this, further nuances were uncovered through the research process itself as the respective studies showed discrepancies in bullying perceptions within and between young people’s groups.
These understandings can act as a starting point for young people and adults to collaborate in research which seeks to understand bullying and the context to which it occurs. Furthermore, such collaborations enable adults to theorize and understand the complexities associated with bullying from the perspective of those at the center. There is a need for additional participatory research projects involving such collaborations where adults and young people can learn from each other as well as combining findings from different methodologies to enable a more comprehensive picture of the issues for young people to emerge. Further research is needed to unravel the complexities of bullying among and between young people, specifically in relation to the contextual and relational factors underscoring perceptions of bullying.
Data Availability
The raw data supporting the conclusions of this manuscript will be made available by the authors, without undue reservation, to any qualified researcher.
Ethics Statement
Ethical approval was granted for all four studies from the Faculty of Health, Education, Medicine and Social Care at the Anglia Ruskin University. The research was conducted on the premise of Gillick competency meaning that young people (in these studies over the age of 12 years) could consent for themselves to participate. Parents/carers were aware the study was happening and received information sheets explaining the process.
Author Contributions
The author confirms being the sole contributor of this work and has approved it for publication.
These four studies were conducted at the Anglia Ruskin University. Study one was part of a wider masters degree funded by the Anglia Ruskin University, Study two was funded by a group of young people convened by the National Children’s Bureau with funding from the Wellcome Trust (United Kingdom). Study three was a wider Doctoral study funded by the Anglia Ruskin University and Study four was also funded by the Anglia Ruskin University.
Conflict of Interest Statement
The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Acknowledgments
I would like to thank Dr. Grace Spencer, Ruskin Fellow at the Anglia Ruskin University for providing the critical read of this manuscript and offering constructive feedback. I would also like to thank the two independent reviewers for their feedback on the drafts of this manuscript.
- ^ These findings focus on perceptions and data from the young people in the four studies. For a full discussion on adult perceptions please refer to the individual studies.
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Keywords : bullying, young people, participatory research, social constructionism, young people as researchers, collaboration, bullying supports
Citation: O’Brien N (2019) Understanding Alternative Bullying Perspectives Through Research Engagement With Young People. Front. Psychol. 10:1984. doi: 10.3389/fpsyg.2019.01984
Received: 28 February 2019; Accepted: 13 August 2019; Published: 28 August 2019.
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*Correspondence: Niamh O’Brien, [email protected]
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Dance therapy reduces ethnic bullying and enhances empathy in diverse students, study shows
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Bullying is the most common manifestation of violence in schools. With globalization and immigration increasing classroom diversity in schools across the United States, ethnic bullying – bullying that targets another's ethnic background or cultural identity, including racial taunts/slurs and insulting references to culturally specific customs, foods, clothing, and accents and as well as exclusion from peer groups – has increased.
Nalini Prakash, PhD, an assistant clinical professor in Drexel University's College of Nursing and Health Professions, developed a specialized dance and movement therapy (DMT) program to meet the unique needs of youth from diverse racial and ethnic backgrounds to foster a sense of community and connection. This research is the first to address ethnic bullying through DMT.
Recently published in Social Sciences & Humanities Open , qualitative results showed DMT had a positive impact on empathy, peer relationships and cultural self- efficacy scores.
Although the quantitative data did not show any significant increase or decrease in empathy, peer relationships, and cultural self-efficacy scores over time, participants reported that DMT fostered empathy, positive peer relationships, and cultural self-efficacy within cross-cultural contexts." Nalini Prakash, PhD, assistant clinical professor in Drexel University's College of Nursing and Health Professions
She added that participants noted improvements in intra- and interpersonal connections, increased emotional and social intelligence including empathy, and improved cross-cultural peer relationships, and participants achieved greater multicultural awareness, an understanding of different worldviews, and an openness to others who were different from themselves.
"Participants also reported being able to integrate the skills learned from the program into their everyday lives," said Nalini. "This validates the efforts of dance/movement therapists, like myself, who consistently strive for these results with clients."
Nalini's research focuses on violence prevention and examines the impact of dance/movement therapy (DMT) on interpersonal development, empathy, peer relationships, and cultural self-efficacy among racially and ethnically diverse middle school students, particularly in the context of ethnic bullying.
Students in three racially and ethnically diverse middle schools in the Washington D.C. and Philadelphia areas, including private, public, and charter schools, participated in 10 weekly, 50-minute dance and movement therapy sessions. The students provided qualitative feedback at the end of each session and participated in interviews when the program ended to share their experiences.
The sessions included activities related to the weekly theme designed to support empathy and relationship building. Music was selected based on the theme of the session or on the preferences of the participants.
Sessions started with a verbal check-in supported by movement representing participants' current mood, followed by a semi-structured warm-up, a main activity including creative/expressive movement interactions, and ended with a cool down and group discussion.
- Week 1 "Getting to know each other" activities included introductions using verbal and gestural cultural greetings and creation of group safety rules.
- Week 2 "Body awareness" activities included body scan and embodying rhythm of the drum to bring awareness to bodily sensations.
- Week 3 "Self-compassion" activities included loving kindness meditation and building self-confidence through movement to enhance self-compassion.
- Week 4 "Understanding my emotions" activities included emotions charades, freeze dance, and the 4 B's of self-settling (Brakes, Breathe, Brain, Body) to enhance emotional awareness and emotional regulation.
- Week 5 "Spatial awareness" activities included establishing individual space bubbles to bring awareness to the use of space in relation to others.
- Week 6 "Reaching out, making connections" activities included embodied self-expression and mirroring movement in pairs to build connections.
- Week 7 "Understanding emotional expression of others" activities included mirroring each other's emotions and having an embodied conversation to enhance emotional understanding of others.
- Week 8 "Respectful exchanges" activities included group dance choreography using rhythm and music to enhance respectful communication.
- Week 9 "Compassion in action/finding common ground" activities included creative movement in groups, flocking like birds, and loving kindness meditation to build compassion for others.
- Week 10 "Mutual support" activities included dancing down the path of encouragement with peer support and building a group sculpture to encourage mutual support.
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Student participants completed the surveys assessing empathy, peer relationships and cultural self-efficacy at weeks 1, 5 and 10. Survey results were analyzed to examine any changes in empathy, peer relationships and cultural self-efficacy over the 10 weeks.
"Key elements of DMT such as mirroring or empathic movement reflection, and rhythmic movement likely played an important role in developing group cohesion among the participants, resulting in positive psychosocial outcomes," said Nalini. "This study enhances existing research in the fields of DMT and education, particularly in violence prevention programs that target bullying."
She noted that the findings provide a foundation for dance/movement therapists to inform their clinical practice and future research with this population. Additionally, since movement is the primary form of nonverbal communication, DMT can be particularly effective in diverse school settings where cultural differences and language barriers impede socialization.
"Incorporating embodied and creative arts-based approaches such as DMT into school-based violence prevention programs across the U.S. could strengthen these initiatives by offering nonverbal and creative methods to cultivate empathy and build positive cross-cultural peer relationships," said Nalini.
The COVID-19 pandemic posed a significant challenge to the recruitment and execution of the study by limiting the recruitment process to a small sample and reducing the program length from 12 to 10 weeks. Nalini hopes this study inspires additional research with larger sample sizes and extended program duration, and including a control group in future studies that could strengthen the validity of the findings.
"I hope school systems will incorporate DMT on a weekly basis throughout the school year as requested by the participants," said Nalini.
According to participant feedback, the program not only supported their psychosocial and emotional learning but also helped alleviate academic stress, enabling better concentration in the classroom. Nalini said regular inclusion of DMT in schools could offer students a unique opportunity to explore cross-cultural peer relationships through dance and movement while enhancing their psychosocial and academic skills.
This research was supported by the National Endowment for the Arts and the Marian Chace Foundation of the American Dance Therapy Association.
Drexel University
Prakash, N., et al. (2024). Examining the impact of dance/movement therapy on empathy, peer relationships, and cultural self-efficacy in middle school: A mixed methods study. Social Sciences & Humanities Open . doi.org/10.1016/j.ssaho.2024.100998 .
Posted in: Child Health News | Medical Research News | Healthcare News
Tags: Brain , Bullying , covid-19 , Dancing , Education , Efficacy , Language , Meditation , Nursing , Pandemic , Research , Stress , students
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COMMENTS
Introduction. Research on bullying victimization in schools has developed into a robust body of literature since the early 1970s. Formally defined by Olweus (Citation 1994), "a student is being bullied or victimized when he or she is exposed, repeatedly and over time, to negative actions on the part of one or more other students and where a power imbalance exists" (p. 1173).
Introduction. With its negative consequences for wellbeing, bullying is a major public health concern affecting the lives of many children and adolescents (Holt et al. 2014; Liu et al. 2014 ). Bullying can take many different forms and include aggressive behaviours that are physical, verbal or psychological in nature (Wang, Iannotti, and Nansel ...
Much quantitative research suggests that young people are a homogenous group and through the use of surveys and other large scale methods, generalizations can be drawn about how bullying is understood and how it can be dealt with. ... "Cyber-bullying is basically still verbal bullying and is definitely psychological bullying. Any bullying is ...
Bullying involves repeated hurtful actions between peers where an imbalance of power exists [].Arseneault et al. [] 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 ...
Bullying behavior phenomena has very detrimental e ects on. the victims. is type of behavior badly a ects the student, teacher, peers relationship, moral and psychological conditions hence there ...
The research importance stems from the importance of the topic it deals with, which is considered very important for many parties. Moreover it will enable those concerned know how to deal with the problem of ... Verbal bullying: verbal abuse, insults, cursing, excitement, threats, false rumors, giving names and titles for individual, or giving ...
Bullying is a heterogeneous concept that refers to a wide array of repeated behaviours, including physical and verbal aggressions, intended to harm or intimidate individuals who are perceived as less powerful.14 Bullying affects between 6 and 40 per cent of youth annually (youth sample consisted of ages 11, 13, and 15 years)15,16 and has been ...
Bullying, internationally recognized as a problematic and aggressive form of behavior, has negative effects, not only for those directly involved but for anybody and in particular children in the surrounding environment (Modin, 2012).However, one of the major concerns among researchers in the field of bullying is the type of research methods employed in the studies on bullying behavior in schools.
Perhaps the most critical decision a researcher must make when designing an investigation on bullying is whether to use the word "bully" in the survey items and whether or not to provide research participants with a definition of bullying prior to the completion of survey items (Vessey et al., 2014).In broad terms, bullying measures can be divided into two subtypes: definition-based or ...
In the case of witnessing bullying, various studies have examined the reasons for changes in people's behaviors. As a result of qualitative and quantitative research, demotivating factors on the issue of helping the victim have emerged as a lack of self-confidence (Lodge & Frydenberg, 2005); fear of the bully taking
at bullying in academic settings is a global problem that affects school perfo. ectsthe physical, social, psychological, and emot. onal wellbeing of students (Cynthia, 2014; Sekol, atbulli. d students develop fear and low self-confidence, which diminishes the personality traits i. , and thisleads to poor pe.
School bullying research has a long history, stretching all the way back to a questionnaire study undertaken in the USA in the late 1800s (Burk, 1897).However, systematic school bullying research began in earnest in Scandinavia in the early 1970s with the work of Heinemann and Olweus ().Highlighting the extent to which research on bullying has grown exponentially since then, Smith et al. found ...
Abstract Current research on how adolescents cope with bullying is primarily quantitative, examines youth in Grades 1 through 6, and neglects to specifically assess how victims of bullying cope with being bullied. The cur-rent qualitative study explored the coping strategies of 22 rural middle- and high-school youth victimized by bul-lying.
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
Norman Raotraot Galabo. 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 at Davao ...
This research implemented quantitative method with a survey to find the relationship between bullying and students academic performance. Quantitative research is an approach that highlights statistics and numbers to collect the data (Daniel, 2016). This methodology helped to collect
1.Introduction. Clinical placement setting bullying in health care settings is a global problem that takes a huge toll on individuals, societies and economies, and adversely affects the health of being bulled (Bambi et al., 2018; Hutchinson et al., 2008; Kim et al., 2019).Many studies have highlighted the alarming incidence of bullying perpetrated against nurses (Fnais et al., 2014; Etienne ...
Bullying victimization can undermine adolescents' well‐being. However, few studies have comprehensively investigated the contributions of various victimization forms to well‐being and compared which forms were more harmful than others. Evidence on whether resilience and social support moderate such associations is also limited. Using a sample of 12,058 Chinese adolescents in the Programme ...
Introduction. Research on school bullying has developed rapidly since the 1970s. Originating in social and psychological research in Norway, Sweden, and Finland, this body of research largely focusses on individualized personality traits of perpetrators and victims (Olweus, 1995).Global interest in this phenomenon subsequently spread and bullying research began in the United Kingdom, Australia ...
Bullying is the most common manifestation of violence in schools. With globalization and immigration increasing classroom diversity in schools across the United States, ethnic bullying—bullying ...
research findings risk being overlooked in the vast sea of quantitative research. School bullying and cyberbullying are complex phenomena, and a range of methodological approaches is thus needed to understand their complexity (Pellegrini & Bartini, 2000; Thornberg, 2011). Indeed, over-relying on quantitative meth-
This quantitative research survey aims to delve deep into the experiences and perceptions of verbal bullying among individuals of all ages. The survey questions are tailored to gather insights on the frequency of verbal bullying, locations where it occurs, and the emotional impact it has on individuals. Participants will also be asked about ...
This research is the first to address ethnic bullying through DMT. Recently published in Social Sciences & Humanities Open , qualitative results showed DMT had a positive impact on empathy, peer ...
Bullying is the most common manifestation of violence in schools. With globalization and immigration increasing classroom diversity in schools across the United States, ethnic bullying - bullying that targets another's ethnic background or cultural identity, including racial taunts/slurs and insulting references to culturally specific customs, foods, clothing, and accents and as well as ...
Books and Master's and Doctoral dissertations were excluded. The research design of included publications had no limits and thus, quantitative and qualitative studies, experimental and non-experimental studies were deemed fit for inclusion. All types of review were excluded. A summary of the inclusion criteria is provided in Table 2.