The DOI matches its Crossref record; 55 of the 56 references it cites were found in a registry or an index.
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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“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
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review