We have recently published a paper titled “The mitigating role of ecological health assets in adolescent cyberbullying victimization”
in Youth & Society.
Cyberbullying can be defined as bullying which take place in
the virtual world (for example via messaging services, social networking sites,
emails and gaming websites), and can include a number of behaviours such as
sending abusive messages, posting embarrassing or altered photographs, purposely
excluding people from online groups and setting up fake online profiles1.
Cyberbullying has been shown to have a detrimental effect on
young people’s health and wellbeing and their social outcomes. Young people who
are cyberbullied are more likely to experience depression, anxiety, feelings of
loneliness and low self-esteem2,3; research has also identified a
link between being cyberbullied and poorer outcomes at school3.
Questions to measure cyberbullying were first added to the
HBSC survey in 2014. You can read our previous blog post which describes why
cyberbullying warranted attention in the HBSC study by clicking here. Cyberbullying was measured by two questions which addressed different forms of
cyberbullying (Figure 1).
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| Figure 1. Questions measuring cyberbullying in the 2014 HBSC survey |
The prevalence of cyberbullying, and bullying more broadly,
has been reported extensively in the 2014 HBSC England national report4. Of the young people who participated in the
2014 HBSC survey in England, 18% reporting experiencing some form of
cyberbullying in the past two months. Reporting cyberbullying was more common
among girls than boys, and the likelihood of being victimised in this was appeared to increase with age for all
young people (Figure 2).
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| Figure 2. Prevalence of cyberbullying (graph original published in Brooks et al. (2015)) |
Traditionally the health and wellbeing of young people has
been approached from a deficit perspective; this approach asks why young people
are ill and has often focussed on risk factors such as substance use5.
However more recently asset based
approaches have begun to emerge; asking what makes young people healthy and identifying
protective factors which sustain health6. The HBSC
England team are keen to take a positive rather the deficit approach to young
people’s health.
The data collected from the HBSC study is ideal for
approaching health in this manner as it situates young people’s health in its
social context, with the HBSC England survey asking young people about their
family, friends, peers, school and neighbourhood. Work from the research team
has explored protective factors of young people’s health in relation to risk
behaviours7, body image8 and self-harm9. (Check
out our recent blog post summarising our self-harm publication by clicking here).
Our latest paper on cyberbullying uses a similar positive perspective,
and sought to identify elements from the different domains in young people’s
lives, including family, school and neighbourhood, which may protect against
cyberbullying.
The analysis highlighted eight key factors which were
associated with cyberbullying. Factors were identified at the individual level
(gender, age, autonomy), family (family affluence, family communication),
school (sense of belonging to school, teacher support) and neighbourhood
environments (perception of local area). Unlike the more traditional forms of
bullying which are often restricted to the school grounds cyberbullying can
continue beyond the school environment and school hours. Despite this, our
recent paper emphasises the important role the school may play in preventing
cyberbullying; young people who reported positive perceptions of the school
environment and supportive teacher-student relationships were significantly less
likely to say they had been cyberbullied.
The full paper can be found by clicking here.
If you are interested in the topic of bullying you may also like to read our
international collaborative paper presenting cross-cultural trends in bullying
victimization between 2002-2010 by clicking here.
1. Bullying UK. What is cyberbullying? Retrieved October,
12, 2016 from http://www.bullying.co.uk/cyberbullying/what-is-cyberbullying/
2. Wang, J.,
Nansel, T. R., & Iannotti, R. J. (2011). Cyber and traditional bullying: Differential association with depression.
Journal of Adolescent Health, 48(4), 415–417.
3. Tsitsika,
A., Janikian, M., Wójcik, S., Makaruk, K., Tzavela, E., Tzavara, C., …
Richardson, C. (2015). Cyberbullying victimization prevalence and associations with internalizing and externalizing problems among adolescents in six European countries. Computers
in Human Behavior, 51, 1–7.
4. Brooks, F., Magnusson, J., Klemera, E., Chester,
K., Spencer, N., & Smeeton, N. (2015). HBSC England national report:
Findings from the 2014 HBSC study for England. Hatfield, UK: University of
Hertfordshire. Retrieved October, 12, 2016 from http://www.hbscengland.com/wp-content/uploads/2015/10/National-Report-2015.pdf
5. Department of Health. 92010). Health lives,
healthy people: our strategy for public health in England. Retrieved October,
12, 216 from https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/216096/dh_127424.pdf
6. Whiting,
L., Kendall, S., & Wills, W. (2012). An asset-based approach: An alternative health promotion strategy?
Community Practitioner, 85(1), 25–28.
7. Brooks, F., Magnusson, J., Spencer, N., &
Morgan, A. (2012). Adolescent multiple risk behaviour: An asset approach to the role of family, school and community.
Journal of Public Health, 34(S1), 48–56
8. Fenton, C., Brooks, F., Spencer, N. H., &
Morgan, A. (2010). Sustaining a positive body image in adolescence: An assets-based analysis.
Health and Social Care in the Community, 18(2), 189–198.
9. Klemera, E., Brooks, F. M., Chester, K. L.,
Magnusson, J., & Spencer, N. (2016). Self-harm in adolescence: protective health assets in the family, school and community.
International Journal of Public Health.
