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Increase in time spent on social media is associated with modest increase in depression, conduct problems, and episodic heavy drinking
Abstract
INTRODUCTION: Adolescent use of social media has been linked to a range of negative outcomes, but it is still unclear whether the associations are spurious. To address this issue, we examined if within-individual change in time spent on social media was associated with within-individual changes in depression, conduct problems, and episodic heavy drinking in a sample of adolescents using first-differencing models (FD-models). METHODS: A sample of 763 Norwegian adolescents (45.1% boys; mean age 15.22 years, standard deviation 1.44) completed two questionnaires 6-months apart. The associations between changes in time spent on social media and symptoms of depression, conduct problems, and frequency of episodic heavy drinking were estimated using FD-models, a statistical technique that effectively controls for all time-invariant individual factors. We also accounted for three time-variant putative confounders: frequency of sports practice, frequency of unsupervised leisure activities, and peer relationship problems. RESULTS: Increases in time spent on social media were associated with increases in symptoms of depression (b = 0.13 [95% CI: 0.01, 0.24], p = 0.038), increases in conduct problems (b = 0.07 [95% CI: 0.02, 0.10], p = 0.007), and increases in episodic heavy drinking (b = 0.10 [95% CI: 0.06, 0.15], p < 0.001), after adjusting for changes in the three hypothesized confounders. The effect-sizes for these relationships were, however, quite modest. CONCLUSION: Increased time spent on social media was modestly related to increases in depression, conduct problems, as well as frequency of episodic heavy drinking among adolescents.
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“However, other studies have reported prospective associations between social media use and mental health problems [17–19].”
From Long-Term Consequences of Time Spent on Social Media in Adolescence on Mental Health in Young Adulthood: A Cohort Study From Sweden. (2026) · cites this paper as [19]
In the citing paper
“The heavy reliance on correlational data severely limits our ability to infer directionality and argue that exposure to social media causes depression (11, 22).”
From Does Social Media Use Increase Depressive Symptoms? A Reverse Causation Perspective (2021) · cites this paper as [11]
In the citing paper
“Cross-sectional and correlational trend analyses appear to show increases in depression rates alongside increased social media engagement [(9, 11–14); also see (15), for a contrasting result].”
From Does Social Media Use Increase Depressive Symptoms? A Reverse Causation Perspective (2021) · cites this paper as [11]
In the citing paper
“Meta-analyses of cross-sectional studies on social media use and depression also report small pooled effect sizes (9, 11, 12), suggesting the presence of extraneous variables.”
From Does Social Media Use Increase Depressive Symptoms? A Reverse Causation Perspective (2021) · cites this paper as [11]
Citations
Cites
Kytle, J., & Bandura, A. (1978) · Contemporary Sociology · doi:10.2307/2065952 · Cited by 25,422
A theory of social comparison processes
Festinger, L. (1954) · Human Relations · doi:10.1177/001872675400700202 · Cited by 20,926
Stress, social support, and the buffering hypothesis
Cohen, S., & Wills, T. A. (1985) · Psychological Bulletin · doi:10.1037/0033-2909.98.2.310 · Cited by 18,093
The Strengths and Difficulties Questionnaire: A research note
Goodman, R. (1997) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.1997.tb01545.x · Cited by 14,908
Ellison, N. B., Steinfield, C., & Lampe, C. (2007) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2007.00367.x · Cited by 9,939
Pierce, W. D., & Bandura, A. (1977) · The Canadian Journal of Sociology · doi:10.2307/3340496 · Cited by 9,742
The PHQ-9: A New Depression Diagnostic and Severity Measure
Kroenke, K., & Spitzer, R. L. (2002) · Psychiatric Annals · doi:10.3928/0048-5713-20020901-06 · Cited by 5,898
Dunn, T. J., Baguley, T. S., & Brunsden, V. (2013) · British Journal of Psychology · doi:10.1111/bjop.12046 · Cited by 3,766
Development 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
Self-citationAlcohol: No Ordinary Commodity. Research and public policy
Babor, T. F., Caetano, R., Casswell, S., Edwards, G., Giesbrecht, N., Graham, K., Grube, J. W., Hill, L., Holder, H. D., Homel, R. J., et al. (2003) · Cited by 1,718
The association between adolescent well-being and digital technology use
Orben, A., & Przybylski, A. K. (2019) · Nature Human Behaviour · doi:10.1038/s41562-018-0506-1 · Cited by 1,500
Alcohol: No Ordinary Commodity
Babor, T. F., Caetano, R., Casswell, S., Edwards, G., Giesbrecht, N., Graham, K., Grube, J. W., Hill, L., Holder, H. D., Homel, R. J., et al. (2010) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199551149.001.0001 · Cited by 1,306
Woods, H. C., & Scott, H. (2016) · Journal of Adolescence · doi:10.1016/j.adolescence.2016.05.008 · Cited by 1,302
Reviewing theories of adolescent substance use: Organizing pieces in the puzzle.
Petraitis, J., Flay, B. R., & Miller, T. Q. (1995) · Psychological Bulletin · doi:10.1037/0033-2909.117.1.67 · Cited by 1,126
Multiple Problem Youth: Delinquency, Substance Use, and Mental Health Problems.
Ensminger, M. E., Elliott, D. S., Huizanga, D., & Menard, S. (1991) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2071865 · Cited by 948
Elliott, D. S., Huizinga, D., & Menard, S. (1989) · Research in Criminology · doi:10.1007/978-1-4613-9637-6 · Cited by 947
(2018) · Cited by 900
The patient health questionnaire for adolescents
Johnson, J. G., Harris, E. S., Spitzer, R. L., & Williams, J. B. W. (2002) · Journal of Adolescent Health · doi:10.1016/s1054-139x(01)00333-0 · Cited by 810
Random measurement error and regression dilution bias
Hutcheon, J. A., Chiolero, A., & Hanley, J. A. (2010) · BMJ · doi:10.1136/bmj.c2289 · Cited by 752
Frison, E., & Eggermont, S. (2016) · Social Science Computer Review · doi:10.1177/0894439314567449 · Cited by 519
Social media use and mental health among young adults
Berryman, C., Ferguson, C. J., & Negy, C. (2018) · Psychiatric Quarterly · doi:10.1007/s11126-017-9535-6 · Cited by 484
Brunborg, G. S., Mentzoni, R. A., & Frøyland, L. R. (2014) · Journal of Behavioral Addictions · doi:10.1556/jba.3.2014.002 · Cited by 445
Self-citationEffect Size, Practical Importance, and Social Policy for Children
McCartney, K., & Rosenthal, R. (2000) · Child Development · doi:10.1111/1467-8624.00131 · Cited by 429
Sampasa-Kanyinga, H., & Lewis, R. F. (2015) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2015.0055 · Cited by 424
Hemphill, S. A., WHITE, H. R., Chung, I., Hawkins, J. D., & Catalano, R. F. (2000) · Alcoholism Clinical and Experimental Research · doi:10.1111/j.1530-0277.2000.tb02071.x · Cited by 390
Huang, G. C., Unger, J. B., Soto, D. W., Fujimoto, K., Pentz, M. A., Jordan‐Marsh, M., & Valente, T. W. (2013) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2013.07.001 · Cited by 382
Outcomes of conduct problems in adolescence: 40 year follow-up of national cohort
Colman, I., Murray, J., Abbott, R. A., Maughan, B., Kuh, D. J., Croudace, T. J., & Jones, P. B. (2009) · BMJ · doi:10.1136/bmj.a2981 · Cited by 381
Király, O., Griffiths, M. D., Urbán, R., Farkas, J., Kökönyei, G., Elekes, Z., Tamás, D., & Demetrovics, Z. (2014) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2014.0475 · Cited by 377
Is social network site usage related to depression? A meta-analysis of Facebook–depression relations
Yoon, S., Kleinman, M., Mertz, J., & Brannick, M. (2019) · Journal of Affective Disorders · doi:10.1016/j.jad.2019.01.026 · Cited by 355
(2012) · PubMed · Cited by 317
Motl, R. W., Birnbaum, A. S., Kubik, M. Y., & Dishman, R. K. (2004) · Psychosomatic Medicine · doi:10.1097/01.psy.0000126205.35683.0a · Cited by 262
Stadtländer, C. T. K. ‐. (2005) · Annals of Epidemiology · doi:10.1016/j.annepidem.2005.05.004 · Cited by 249
Davila, J., Hershenberg, R., Feinstein, B. A., Gorman, K., Bhatia, V., & Starr, L. R. (2012) · Psychology of Popular Media Culture · doi:10.1037/a0027512 · Cited by 237
Banjanin, N., Banjanin, N., Dimitrijevic, I., & Pantic, I. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2014.11.013 · Cited by 215
Gámez‐Guadix, M. (2014) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2014.0226 · Cited by 191
Too Many ‘Friends,’ Too Few ‘Likes’? Evolutionary Psychology and ‘Facebook Depression’
Blease, C. (2015) · Review of General Psychology · doi:10.1037/gpr0000030 · Cited by 174
The Prevention of Adolescent Depression
Gladstone, T. R. G., Beardslee, W. R., & O’Connor, E. (2011) · Psychiatric Clinics of North America · doi:10.1016/j.psc.2010.11.015 · Cited by 150
Andreas, J. B., & Brunborg, G. S. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.00887 · Cited by 121
Self-citationMartínez–Ferrer, B., Ruiz, D. M., & Ochoa, G. M. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.00801 · Cited by 118
Vernon, L., Modecki, K. L., & Barber, B. L. (2017) · Journal of Clinical Child & Adolescent Psychology · doi:10.1080/15374416.2016.1188702 · Cited by 108
Social Media Use and Episodic Heavy Drinking Among Adolescents
Brunborg, G. S., Andreas, J. B., & Kvaavik, E. (2017) · Psychological Reports · doi:10.1177/0033294117697090 · Cited by 91
Self-citationFacebook behaviors associated with diurnal cortisol in adolescents: Is befriending stressful?
Morin-Major, J. K., Marin, M.-F., Durand, N., Wan, N., Juster, R.-P., & Lupien, S. J. (2016) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2015.10.005 · Cited by 90
Social Media and Alcohol: Summary of Research, Intervention Ideas and Future Study Directions
Moreno, M. A., D’Angelo, J. D., & Whitehill, J. M. (2016) · Media and Communication · doi:10.17645/mac.v4i3.529 · Cited by 76
Primack, B. A., & Escobar-Viera, C. G. (2017) · Child and Adolescent Psychiatric Clinics of North America · doi:10.1016/j.chc.2016.12.007 · Cited by 71
Social Media and Adolescent Health
Moreno, M. A., Standiford, M., & Cody, P. J. (2018) · Current Pediatrics Reports · doi:10.1007/s40124-018-0165-8 · Cited by 66
Gul, H., Yurumez Solmaz, E., Gul, A., & Oner, O. (2018) · Psychiatry and Clinical Psychopharmacology · doi:10.1080/24750573.2017.1383706 · Cited by 51
Use of social networking sites and alcohol consumption among adolescents
Sampasa‐Kanyinga, H., & Chaput, J. (2016) · Public Health · doi:10.1016/j.puhe.2016.05.005 · Cited by 50
Gommans, R., Stevens, G. W. J. M., Finne, E., Cillessen, A. H. N., Boniel-Nissim, M., & ter Bogt, T. F. M. (2015) · International Journal of Public Health · doi:10.1007/s00038-014-0624-0 · Cited by 46
Social Media and Substance Use: What Should We Be Recommending to Teens and Their Parents?
Costello, C. R., & Ramo, D. E. (2017) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2017.03.017 · Cited by 45
Gutierrez, K. M., & Cooper, T. V. (2016) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2016.03.021 · Cited by 41
Urben, S., Habersaat, S., Pihet, S., Suter, M., Ridder, J. D., & Stéphan, P. (2017) · Psychiatric Quarterly · doi:10.1007/s11126-017-9506-y · Cited by 37
Social media use and conduct problems in emerging adults.
Galica, V. L., Vannucci, A., Flannery, K. M., & Ohannessian, C. M. (2017) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2017.0068 · Cited by 24
O'Donnell, A. W., & Barber, B. L. (2018) · Australian Journal of Psychology · doi:10.1111/ajpy.12203 · Cited by 23
#SwitchedOn: a call for assessing social media use of adolescents
Shafi, R. M. A., Romanowicz, M., & Croarkin, P. E. (2018) · The Lancet Psychiatry · doi:10.1016/s2215-0366(18)30350-x · Cited by 13
Rothman, K. J., Huybrechts, K. F., & Murray, E. J. (2024) · doi:10.1093/oso/9780197751541.001.0001 · Cited by 12
Flagged first, then by citations
1 of the 56 references couldn’t be matched to a known paper.
Research works printed but not linked: 4
- McDonald R.P., 1999, Test theory: A unified approach
- 10.1097/00006842-200405000-00008 · DOI
- Norwegian Media Authority, 2018, Barn og medier 2016 [Children and media 2018]
- Verbeek M., 2008, A guide to modern econometrics
Cited by
Sorted by citations
Social media use and mental health and well-being among adolescents: a scoping review
Schønning, V., Hjetland, G. J., Aarø, L. E., & Skogen, J. C. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.01949 · Cited by 288
Problematic Social Media Use and Its Relationship with Depression or Anxiety: A Systematic Review
Lopes, L. S., Valentini, J. P., Monteiro, T. H., Costacurta, M. C. D. F., Soares, L. O. N., Telfar-Barnard, L., & Nunes, P. V. (2022) · Cyberpsychology, Behavior, and Social Networking · doi:10.1089/cyber.2021.0300 · Cited by 197
Time Spent on Social Media and Risk of Depression in Adolescents: A Dose–Response Meta-Analysis
Liu, M., Kamper-DeMarco, K. E., Zhang, J., Xiao, J., Dong, D., & Xue, P. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19095164 · Cited by 167
Is AI-based digital marketing ethical? Assessing a new data privacy paradox
Saura, J. R., Škare, V., & Došen, Đ. O. (2024) · Journal of Innovation & Knowledge · doi:10.1016/j.jik.2024.100597 · Cited by 187
Does Social Media Use Increase Depressive Symptoms? A Reverse Causation Perspective
Hartanto, A., Quek, F. Y. X., Tng, G. Y. Q., & Yong, J. C. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.641934 · Cited by 107
“The heavy reliance on correlational data severely limits our ability to infer directionality and argue that exposure to social media causes depression (11, 22).”
Background
Metadata
- Authors
- Brunborg, G. S., & Burdzovic Andreas, J.
- Affiliations
- Norwegian Institute of Public Health (NO)
- Department of Alcohol Tobacco & Drugs Norwegian Institute of Public Health Norway
- Corresponding author
- Brunborg, Geir Scott
- ORCID
- Brunborg, Geir Scott
- Venue
- Journal of Adolescence
- Publisher
- Wiley
- Published
- 2019-06-26
- Volume
- 74
- Issue
- 1
- Pages
- 201-209
- ISSN
- 0140-1971 (ISSN-L)
- 1095-9254
- OpenAlex
- W2955504934
- Cited by
- 118
- References
- 56
- Citations by year
- 2026: 10 · 2025: 11 · 2024: 19 · 2023: 20 · 2022: 21 · 2021: 27 · 2020: 9 · 2019: 1
- FWCI
- 29.13
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Journal of Adolescence (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Norwegian Institute of Public Health
- Topics
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Education › Child Development and Digital Technology
- Social Sciences › Psychology › Clinical Psychology › Child and Adolescent Psychosocial and Emotional Development
- Keywords
- social media use, adolescents, depression, conduct problems, episodic heavy drinking, within-person change, spurious association, sports practice, peer relationship problems
- MeSH terms
- Problem Behavior, Underage Drinking, Adolescent, Depression, Female, Humans, Male, Norway, Peer Group, Surveys and Questionnaires, Time Factors, Social Media, Binge Drinking
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