Tracking Effects of Problematic Social Networking on Adolescent Psychopathology: The Mediating Role of Sleep Disruptions
Abstract
Concerns are growing about adolescents' problematic social networking and possible links to depressed mood and externalizing behavior. Yet there remains little understanding of underlying processes that may account for these associations, including the mediating role of sleep disruption. This study tests this putative mediating process and examines change in problematic social networking investment and disrupted sleep, in relation to change in depressed mood and externalizing behavior. A sample of 874 students (41% male; 57.2% Caucasian; baseline M age = 14.4 years) from 27 high schools were surveyed. Participants' problematic social networking, sleep disruption, and psychopathology (depressed mood, externalizing behaviors) were measured annually over 3 years. Longitudinal mediation was tested using latent trajectories of problematic social networking use, sleep disruption, and psychopathology. Both problematic social networking and sleep disruption underwent positive linear growth over time. Adolescents who increasingly invested in social networking reported increased depressed mood, with around 53% of this association explained by the indirect effect of increased sleep disruptions. Further, adolescents who increasingly invested in social networking also reported increased externalizing behavior; some of this relation was explained (13%) via increased sleep disruptions. However an alternative model in which increased externalizing was associated with increased social network…
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Insomnia and other sleep-related factors were the most frequently reported mediators of the relationship between social media use and depressed mood.
“Insomnia and other sleep-related factors were most frequently reported as mediators of the relationship between social media use and depressed mood (Li et al., 2017; Vernon et al., 2017).”
From A systematic review: the influence of social media on depression, anxiety and psychological distress in adolescents (2020) · cites this paper as Vernon et al., 2017
Vernon et al. (2017) found an association between problematic social media investment and depressed mood, with sleep disruption as a mediating variable.
“Vernon et al. (2017) conducted a longitudinal investigation and found an association between problematic social media investment and depressed mood, with sleep disruption as a mediating variable.”
From A systematic review: the influence of social media on depression, anxiety and psychological distress in adolescents (2020) · cites this paper as Vernon et al. (2017)
The Vernon et al. study did not use a control and a comparison group to differentiate those exposed to social media sites and those not.
“The study did not use a control and a comparison group to di ff erentiate those who exposed to social media sites and those who not.”
From A systematic review: the influence of social media on depression, anxiety and psychological distress in adolescents (2020) · cites this paper as Vernon et al., 2017
Only one longitudinal study (Vernon et al., 2017) investigated the causal relationship between problematic social media use and change in depressed mood, but this study was also limited in showing evidence whether social media use causes depressed mood in adolescents.
“Only one longitudinal study (Vernon et al., 2017) investigated the causal relationship between problematic social media use and change in depressed mood, but this study has also limited to show evidence whether social media use causes depressed mood in adolescents.”
From A systematic review: the influence of social media on depression, anxiety and psychological distress in adolescents (2020) · cites this paper as Vernon et al., 2017
In Vernon et al. (2017), researchers did not measure exposure at baseline.
“In the only cohort study (Vernon et al., 2017), participants were assessed annually over three years, but the researchers did not measure exposure at baseline.”
From A systematic review: the influence of social media on depression, anxiety and psychological distress in adolescents (2020) · cites this paper as Vernon et al., 2017
In Vernon et al. (2017), participants were assessed annually over three years.
“In the only cohort study (Vernon et al., 2017), participants were assessed annually over three years, but the researchers did not measure exposure at baseline.”
From A systematic review: the influence of social media on depression, anxiety and psychological distress in adolescents (2020) · cites this paper as Vernon et al., 2017
Vernon et al. (2017) was the only cohort study.
“In the only cohort study (Vernon et al., 2017), participants were assessed annually over three years, but the researchers did not measure exposure at baseline.”
From A systematic review: the influence of social media on depression, anxiety and psychological distress in adolescents (2020) · cites this paper as Vernon et al., 2017
Cites
Introduction to Statistical Mediation Analysis
MacKinnon, D. P. (2012) · doi:10.4324/9780203809556 · Cited by 5,618 · see citing works
Internet Addiction: The Emergence of a New Clinical Disorder
YOUNG, K. S. (1998) · CyberPsychology & Behavior · doi:10.1089/cpb.1998.1.237 · Cited by 5,513 · see citing works
National Sleep Foundation's sleep time duration recommendations: methodology and results summary.
Hirshkowitz, M., Whiton, K., Albert, S. M., Alessi, C., Bruni, O., DonCarlos, L., Hazen, N., Herman, J., Katz, E. S., Kheirandish-Gozal, L., et al. (2015) · Sleep Health · doi:10.1016/j.sleh.2014.12.010 · Cited by 4,404 · see citing works
Online Social Networking and Addiction—A Review of the Psychological Literature
Kuss, D. J., & Griffiths, M. D. (2011) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph8093528 · Cited by 2,038 · cited 2× · see citing works
“In fact, there is a growing body of research pointing to the benefits and risks that result from the rapid rise in social media use by adolescents (see Kuss & Griffiths, 2011, for review).”
BackgroundDevelopment of a Facebook Addiction Scale
Andreassen, C. S., Torsheim, T., Brunborg, G. S., & Pallesen, S. (2012) · Psychological Reports · doi:10.2466/02.09.18.pr0.110.2.501-517 · Cited by 1,884 · see citing works
Sleep Schedules and Daytime Functioning in Adolescents
Wolfson, A. R., & Carskadon, M. A. (1998) · Child Development · doi:10.1111/j.1467-8624.1998.tb06149.x · Cited by 1,676 · see citing works
Electronic media use and sleep in school-aged children and adolescents: A review
Cain, N., & Gradisar, M. (2010) · Sleep Medicine · doi:10.1016/j.sleep.2010.02.006 · Cited by 1,376 · cited 2× · see citing works
“…of quality sleep in healthy adolescent development has led to increased concerns about technology and the role it could play in disrupting bedtime behaviors (Cain & Gradisar, 2010; Carskadon, 2011; Gradisar & Short, 2013; Suganuma et al., 2007; Van den Bulck, 2004, 2007; Zimmerman, 2008).”
BackgroundConnection strategies: Social capital implications of Facebook-enabled communication practices
Ellison, N. B., Steinfield, C., & Lampe, C. (2011) · New Media & Society · doi:10.1177/1461444810385389 · Cited by 1,349 · see citing works
Sleep in Adolescents: The Perfect Storm
Carskadon, M. A. (2011) · Pediatric Clinics of North America · doi:10.1016/j.pcl.2011.03.003 · Cited by 1,122 · see citing works
Lemola, S., Perkinson-Gloor, N., Brand, S., Dewald-Kaufmann, J. F., & Grob, A. (2015) · Journal of Youth and Adolescence · doi:10.1007/s10964-014-0176-x · Cited by 940 · see citing works
Barker, V. (2009) · CyberPsychology & Behavior · doi:10.1089/cpb.2008.0228 · Cited by 781 · see citing works
Facebook use, envy, and depression among college students: is facebooking depressing?
Tandoc, E. C., Ferrucci, P., & Duffy, M. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2014.10.053 · Cited by 781 · see citing works
Sleep and emotions: Bidirectional links and underlying mechanisms
Kahn, M., Sheppes, G., & Sadeh, A. (2013) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2013.05.010 · Cited by 550 · see citing works
Cyber and Traditional Bullying: Differential Association with Depression
Wang, J., Nansel, T. R., & Iannotti, R. J. (2011) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2010.07.012 · Cited by 436 · see citing works
Wood, B., Rea, M. S., Plitnick, B., & Figueiro, M. G. (2013) · Applied Ergonomics · doi:10.1016/j.apergo.2012.07.008 · Cited by 428 · see citing works
Sleep deprivation in adolescents and adults: changes in affect
Talbot, L. S., McGlinchey, E. L., Kaplan, K. A., Dahl, R. E., & Harvey, A. G. (2010) · Emotion · doi:10.1037/a0020138 · Cited by 415 · see citing works
Daily Variation in Adolescents' Sleep, Activities, and Psychological Well‐Being
Fuligni, A. J., & Hardway, C. (2006) · Journal of Research on Adolescence · doi:10.1111/j.1532-7795.2006.00498.x · Cited by 302 · see citing works
Wolniczak, I., Cáceres-DelAguila, J. A., Palma-Ardiles, G., Arroyo, K. J., Solís-Visscher, R., Paredes-Yauri, S., Mego-Aquije, K., & Bernabe-Ortiz, A. (2013) · PLoS ONE · doi:10.1371/journal.pone.0059087 · Cited by 265 · see citing works
Arora, T., Broglia, E., Thomas, G. N., & Taheri, S. (2014) · Sleep Medicine · doi:10.1016/j.sleep.2013.08.799 · Cited by 261 · see citing works
Blomfield neira, C. J., & Barber, B. L. (2014) · Australian Journal of Psychology · doi:10.1111/ajpy.12034 · Cited by 247 · cited 3× · see citing works
“A number of studies suggest that there may be benefits to using SNSs to engage with friends, develop social self-concept (Barker, 2009; Blomfield-Neira & Barber, 2014), and build social connections and support, especially for those who are lonely (Ellison, Steinfield, & Lampe, 2007, 2011; Lee, Noh,…”
BackgroundSelf-citationMikami, A. Y., Szwedo, D. E., Allen, J. P., Evans, M. A., & Hare, A. L. (2010) · Developmental Psychology · doi:10.1037/a0017420 · Cited by 172 · see citing works
Factors Influencing Sleep Patterns of Adolescents
Carskadon, M. A. (2001) · Adolescent Sleep Patterns · doi:10.1017/cbo9780511499999.005 · Cited by 136 · cited 5× · see citing works
“…for later bedtimes can become problematic when their schedules are dictated by external forces, such as on school nights when they must rise early, resulting in consistently fewer than 9 hr of sleep (Acebo & Carskadon, 2002; Kelley, Lockley, Foster, & Kelley, 2015; Warner, Murray, & Meyer, 2008).”
BackgroundMethodInfluentialVernon, L., Barber, B. L., & Modecki, K. L. (2015) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2015.0107 · Cited by 104 · see citing works
Tate, B. A., Richardson, G. S., & Carskadon, M. A. (2001) · Adolescent Sleep Patterns · doi:10.1017/cbo9780511499999.007 · Cited by 11 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Keles, B., McCrae, N., & Grealish, A. (2020) · International Journal of Adolescence and Youth · doi:10.1080/02673843.2019.1590851 · Cited by 1,909 · see citing works
A meta-analysis of the problematic social media use and mental health
Huang, C. (2022) · International Journal of Social Psychiatry · doi:10.1177/0020764020978434 · Cited by 399 · see citing works
Social media and depression symptoms: a meta-analysis
Cunningham, S., Hudson, C. C., & Harkness, K. (2021) · Research on Child and Adolescent Psychopathology · doi:10.1007/s10802-020-00715-7 · Cited by 308 · see citing works
Electronic media use and sleep in children and adolescents in western countries: a systematic review
Lund, L., Sølvhøj, I. N., Danielsen, D., & Andersen, S. (2021) · BMC Public Health · doi:10.1186/s12889-021-11640-9 · Cited by 188 · see citing works
Vernon, L., Modecki, K. L., & Barber, B. L. (2018) · Child Development · doi:10.1111/cdev.12836 · Cited by 152 · see citing works
Self-citationAssociation Between Social Networks and Subjective Well-Being in Adolescents: A Systematic Review
Webster, D., Dunne, L., & Hunter, R. (2021) · Youth & Society · doi:10.1177/0044118x20919589 · Cited by 148 · see citing works
Lee, H. Y., Jamieson, J. P., Reis, H. T., Beevers, C. G., Josephs, R. A., Mullarkey, M. C., O’Brien, J. M., & Yeager, D. S. (2020) · Child Development · doi:10.1111/cdev.13422 · Cited by 122 · see citing works
Brunborg, G. S., & Burdzovic Andreas, J. (2019) · Journal of Adolescence · doi:10.1016/j.adolescence.2019.06.013 · Cited by 118 · see citing works
Scott, H., & Woods, H. C. (2019) · Current Sleep Medicine Reports · doi:10.1007/s40675-019-00148-9 · Cited by 105 · see citing works
Raudsepp, L. (2019) · Journal of Adolescence · doi:10.1016/j.adolescence.2019.09.005 · Cited by 83 · see citing works
Arrivillaga, C., Rey, L., & Extremera, N. (2022) · Addictive Behaviors · doi:10.1016/j.addbeh.2021.107095 · Cited by 85 · see citing works
Nesi, J., Rothenberg, W. A., Bettis, A. H., Massing-Schaffer, M., Fox, K. A., Telzer, E. H., Lindquist, K. A., & Prinstein, M. J. (2022) · Journal of Clinical Child & Adolescent Psychology · doi:10.1080/15374416.2021.1955370 · Cited by 82 · see citing works
Mahalingham, T., McEvoy, P. M., & Clarke, P. J. F. (2023) · Computers in Human Behavior · doi:10.1016/j.chb.2022.107567 · Cited by 73 · see citing works
Mougharbel, F., & Goldfield, G. S. (2020) · Current Obesity Reports · doi:10.1007/s13679-020-00401-1 · Cited by 67 · see citing works
Litvin, S., Saunders, R., Jefferies, P., Seely, H., Pössel, P., & Lüttke, S. (2023) · JMIR Mental Health · doi:10.2196/47285 · Cited by 43 · see citing works
Social media use, sleep, and psychopathology in psychiatrically hospitalized adolescents.
Nesi, J., Burke, T. A., Extein, J., Kudinova, A. Y., Fox, K. A., Hunt, J., & Wolff, J. C. (2021) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2021.10.014 · Cited by 22 · see citing works
Identifying drivers for bedtime social media use despite sleep costs: the adolescent perspective
Scott, H., Biello, S., & Woods, H. (2018) · doi:10.31234/osf.io/2xb36 · Cited by 90 · see citing works
Developing Healthy Social Media Practices: An Outpatient Caregiver-Adolescent Group Intervention
Borgen, A. L., & Domoff, S. E. (2023) · Journal of Contemporary Psychotherapy · doi:10.1007/s10879-022-09559-2 · Cited by 6 · see citing works
- Authors
- Vernon, L., Modecki, K. L., & Barber, B. L.
- Affiliations
- Murdoch University (AU)
- Griffith University (AU)
- Corresponding author
- Vernon, Lynette
- Venue
- Journal of Clinical Child & Adolescent Psychology
- Publisher
- Informa UK Limited
- Published
- 2016-08-05
- Volume
- 46
- Issue
- 2
- Pages
- 269-283
- ISSN
- 1537-4416 (ISSN-L)
- 1537-4424
- OpenAlex
- W2501532644
- Cited by
- 108
- References
- 24
- Citations by year
- 2026: 11 · 2025: 12 · 2024: 14 · 2023: 11 · 2022: 13 · 2021: 15 · 2020: 14 · 2019: 12 · 2018: 1 · 2017: 4 · 2016: 1
- FWCI
- 17.15
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Clinical Child & Adolescent Psychology (publishedVersion)
- PubMed (publishedVersion)
- Murdoch University Research Portal (submittedVersion)
- eSpace (Curtin University) (submittedVersion)
- Griffith Research Online (submittedVersion)
- Funders
- Australian Research Council (DP0774125, DP1095791, DP130104670)
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
- Social Sciences › Education › Child Development and Digital Technology
- Keywords
- adolescents, sleep disruption, depressive mood, externalizing problems, adolescent psychopathology, mediation, reciprocal effects, longitudinal trajectories, social media use, bedtime
- MeSH terms
- Adolescent, Adolescent Behavior, Female, Humans, Male, Parents, Psychopathology, Surveys and Questionnaires, Sleep, Sleep Wake Disorders, Students, Social Networking
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