Parental Control of the Time Preadolescents Spend on Social Media: Links with Preadolescents’ Social Media Appearance Comparisons and Mental Health
Time spent on social media and making online comparisons with others may influence users’ mental health. This study examined links between parental control over the time their child spends on social media, preadolescents’ time spent browsing social media, preadolescents’ appearance comparisons on social media, and preadolescents’ appearance satisfaction, depressive symptoms, and life satisfaction. Preadolescent social media users (N = 284, 49.1% female; aged 10–12) and one of their parents completed online surveys. Preadolescents, whose parents reported greater control over their child’s time on social media, reported better mental health. This relationship was mediated by preadolescents spending less time browsing and making fewer appearance comparisons on social media. Parental control over time spent on social media may be associated with benefits for mental health among preadolescents.
KeywordsSocial media Parental mediation Social comparison Body image Depression Life satisfaction.
We would like to thank all of the research assistants and interns who have worked on this project. In particular, we thank Justin Freeman for coordinating the data collection.
JF participated the design and analysis of this study and coordination and drafted the manuscript; NRM participated in the design and coordination of the study and helped draft the manuscript; CJJ participated in the design and coordination of the study and helped draft the manuscript; ELO participated in the design and coordination of the study; RMR conceived this study, and participated in its design and helped draft the manuscript. All authors read and approved the final manuscript.
Data Sharing Declaration
The datasets generated and/or analyzed during the current study are not publicly available but are available from the corresponding author on reasonable request.
The Australian Research Council funded this research (grant number FL150100096).
Compliance with Ethical Standards
All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
Informed consent was obtained from all parents in the study, and informed assent was obtained from all preadolescents.
Conflict of Interest
The authors declare that they have no conflict of interest.
- Anderson, M. (2016a). How parents monitor their teen’s digital behavior. Retrieved from http://www.pewinternet.org/2016/01/07/how-parents-monitor-their-teens-digital-behavior/
- Anderson, M. (2016b). Parents, teens and digital monitoring. http://www.pewinternet.org/2016/01/07/parents-teens-and-digital-monitoring/#.Google Scholar
- Angold, A., Costello, E. J., Messer, S. C., & Pickles, A. (1995). Development of a short questionnaire for use in epidemiological studies of depression in children and adolescents. International Journal of Methods in Psychiatric Research, 5(4), 237–249.Google Scholar
- Australian Communications and Media Authority. (2012). Like, post, share: Young Australians’ experience of social media. Retrieved from https://www.acma.gov.au/-/media/mediacomms/Report/pdf/Like-post-share-Young-Australians-experience-of-social-media-Quantitative-research-report.pdf?la=en
- Australian Communications and Media Authority. (2014). Aussie teens online. Retrieved from http://www.acma.gov.au/theACMA/engage-blogs/engage-blogs/Research-snapshots/Aussie-teens-online
- Brown, B. B., & Larson, J. (2009). Peer relationships in adolescence. In R. M. Lerner & L. Steinberg (Eds.), Handbook of adolescent psychology: Contextual influences on adolescent development (pp. 74–103). Hoboken, NJ: John Wiley & Sons Inc.Google Scholar
- Centres for Disease Control and Prevention (2015). About child & teen BMI. Retrieved from https://www.cdc.gov/healthyweight/assessing/bmi/childrens_bmi/about_childrens_bmi.html. Accessed 12 February 2018.
- Dubas, J. S., & Gerris, J. R. M. (2002). Longitudinal changes in the time parents spend in activities with their adolescent children as a function of child age, pubertal status and gender. Journal of Family Psychology, 16(4), 415–427. https://doi.org/10.1037/0893-3184.108.40.2065.CrossRefPubMedGoogle Scholar
- Field, A. E., Javaras, K. M., Aneja, P., Kitos, N., Camargo, C. A., Barr Taylor, C., & Laird, N. M. (2008). Family, peer, and media predictors of becoming eating disordered. Archives of Pediatrics & Adolescent Medicine, 162(6), 574–579. https://doi.org/10.1001/archpedi.162.6.574.CrossRefGoogle Scholar
- Grüner, K., Muris, P., & Merckelbach, H. (1999). The relationship between anxious rearing behaviours and anxiety disorders symptomatology in normal children. Journal of Behavior Therapy and Experimental Psychiatry, 30(1), 27–35. https://doi.org/10.1016/S0005-7916(99)00004-X.CrossRefPubMedGoogle Scholar
- Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis: a regression-based approach.. New York, NY: The Guilford Press.Google Scholar
- Huebner, E. S. (1995). The Students’ Life Satisfaction Scale: An assessment of psychometric properties with black and white elementary school students. Social Indicators Research, 34(3), 315-323. Retrieved from http://www.jstor.org/stable/27522813
- Lovibond, P. F., & Lovibond, S. H. (1995). The structure of negative emotional states: comparison of the Depression Anxiety Stress Scales (DASS) with the Beck Depression and Anxiety Inventories. Behaviour Research and Therapy, 33(3), 335–343. https://doi.org/10.1016/0005-7967(94)00075-U.CrossRefPubMedGoogle Scholar
- Ofcom. (2017). Children and parents: media use and attitudes report 2017. Retrieved from https://www.ofcom.org.uk/research-and-data/media-literacy-research/childrens/children-parents-2017
- Padilla-Walker, L. M., Coyne, S. M., Fraser, A. M., Dyer, W. J., & Yorgason, J. B. (2012). Parents and adolescents growing up in the digital age: Latent growth curve analysis of proactive media monitoring. Journal of Adolescence, 35(5), 1153–1165. https://doi.org/10.1016/j.adolescence.2012.03.005.CrossRefPubMedGoogle Scholar
- Rhew, I. C., Simpson, K., Tracy, M., Lymp, J., McCauley, E., Tsuang, D., & Stoep, A. V. (2010). Criterion validity of the Short Mood and Feelings Questionnaire and one- and two-item depression screens in young adolescents. Child and Adolescent Psychiatry and Mental Health, 4(1), 8 https://doi.org/10.1186/1753-2000-4-8.CrossRefPubMedPubMedCentralGoogle Scholar
- Statistic Brain. (2017). Instagram Company Statistics. Retrieved from https://www.statisticbrain.com/instagram-company-statistics/. Accessed 14 May 2018.
- Valkenburg, P. M., Krcmar, M., Peeters, A. L., & Marseille, N. M. (1999). Developing a scale to assess three styles of television mediation: “Instructive mediation,” “restrictive mediation,” and “social coviewing”. Journal of Broadcasting & Electronic Media, 43(1), 52–66. https://doi.org/10.1080/08838159909364474.CrossRefGoogle Scholar
- Yap, M. B. H., Pilkington, P. D., Ryan, S. M., & Jorm, A. F. (2014). Parental factors associated with depression and anxiety in young people: A systematic review and meta-analysis. Journal of Affective Disorders, 156(Supplement C), 8–23. https://doi.org/10.1016/j.jad.2013.11.007.CrossRefPubMedGoogle Scholar