The DOI matches its Crossref record; 46 of the 46 references it cites were found in a registry or an index.
Association of Screen Time and Depression in Adolescence
Open accessAbstract
IMPORTANCE: Increases in screen time have been found to be associated with increases in depressive symptoms. However, longitudinal studies are lacking. OBJECTIVE: To repeatedly measure the association between screen time and depression to test 3 explanatory hypotheses: displacement, upward social comparison, and reinforcing spirals. DESIGN, SETTING, AND PARTICIPANTS: This secondary analysis used data from a randomized clinical trial assessing the 4-year efficacy of a personality-targeted drug and alcohol prevention intervention. This study assessed screen time and depression throughout 4 years, using an annual survey in a sample of adolescents who entered the seventh grade in 31 schools in the Greater Montreal area. Data were collected from September 2012 to September 2018. Analysis began and ended in December 2018. MAIN OUTCOMES AND MEASURES: Independent variables were social media, television, video gaming, and computer use. Symptoms of depression was the outcome, measured using the Brief Symptoms Inventory. Exercise and self-esteem were assessed to test displacement and upward social comparison hypothesis. RESULTS: A total of 3826 adolescents (1798 girls [47%]; mean [SD] age, 12.7 [0.5] years) were included. In general, depression symptoms increased yearly (year 1 mean [SD], 4.29 [5.10] points; year 4 mean [SD], 5.45 [5.93] points). Multilevel models, which included random intercepts at the school and individual level estimated between-person and within-person associations between screen time and depression. Significant between-person associations showed that for every increased hour spent using social media, adolescents showed a 0.64-unit increase in depressive symptoms (95% CI, 0.32-0.51). Similar between-level associations were reported for computer use (0.69; 95% CI, 0.47-0.91). Significant within-person associations revealed that a further 1-hour increase in social media use in a given year was associated with a further 0.41-unit increase in depressive symptoms in that same year. A similar within-person association was found for television (0.18; 95% CI, 0.09-0.27). Significant between-person and within-person associations between screen time and exercise and self-esteem supported upward social comparison and not displacement hypothesis. Furthermore, a significant interaction between the between-person and within-person associations concerning social media and self-esteem supported reinforcing spirals hypothesis. CONCLUSIONS AND RELEVANCE: Time-varying associations between social media, television, and depression were found, which appeared to be more explained by upward social comparison and reinforcing spirals hypotheses than by the displacement hypothesis. Both screen time modes should be taken into account when developing preventive measures and when advising parents.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“So far, only a few studies have applied this method and found only minimal within-person associations between social media use and mental health, primarily measured as depressive symptoms [7,20,21].”
From Social Media and Mental Health Among Early Adolescents in Sweden: A Longitudinal Study With 2-Year Follow-Up (KUPOL Study). (2021) · cites this paper as [7]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“For example, a systematic review showed that there was a significant relationship between social media use and depression (5).”
From Relationship of screen time with anxiety, depression, and sleep quality among adolescents: a cross-sectional study (2024) · cites this paper as [5]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“Boers and colleagues12 found a small within-person association between social media use and increased depressive symptoms.”
From The effect of social media on well-being differs from adolescent to adolescent (2020) · cites this paper as [12]
The cited source says what the claim attributes to it.
In the citing paper
“To our knowledge, four recent studies have investigated within-person associations of social media use with different indicators of adolescent well-being (i.e., life satisfaction, depression), again with mixed results6, 11–13.”
From The effect of social media on well-being differs from adolescent to adolescent (2020) · cites this paper as [12]
The cited source says what the claim attributes to it.
In the citing paper
“In addition, while earlier within-person studies have focused on associations with trait-like conceptualizations of well-being11–13, that is, adolescents’ average well-being across specific time periods18, there is a lack of studies that focus on well-being as a momentary affective state.”
From The effect of social media on well-being differs from adolescent to adolescent (2020) · cites this paper as [12]
The cited source says what the claim attributes to it.
In the citing paper
“Given the well-established associations of sex and sedentary screen time with depression symptoms, 43,44”
From Associations of time spent on homework or studying with nocturnal sleep behavior and depression symptoms in adolescents from Singapore (2020) · cites this paper as [43]
In the citing paper
“Upward social comparison suggests that the impact of screen time on mental health depends on the kind of content being viewed; for example, when individuals compare themselves with others who they consider are in more favorable positions (e.g., those with perfect bodies and lives) [17].”
In the citing paper
“Reinforcing spirals also posits that screen time effects are mediated through content; however, reinforcing spirals adds that individuals try to obtain and choose information consistent with their thoughts which may then become increasingly negative in nature [17].”
In the citing paper
“Specifically, the association between screen time and depression was proposed and tested with three explanatory hypotheses: displacement, upward social comparison, and reinforcing spirals [17].”
In the citing paper
“It was found that the upward social comparison and reinforcing spirals hypotheses explained associations between social media, television, and depression more than the displacement hypothesis [17].”
In the citing paper
“Of the four types of screen use assessed (i.e., social media, TV viewing, video gaming, and computer use), only greater levels of social media and computer use were associated with depression, but not TV viewing or video gaming [17].”
In the citing paper
“The displacement hypothesis suggests that all screen time adversely affects mental health because it displaces time one could be engaging in physical exercise and other healthy behaviours [17].”
In the citing paper
“Since those on social media platforms share the most idealized versions of themselves, it becomes commonplace for individuals to compare their real-life experiences with those of others who highlight positive moments, causing deleterious effects on self-esteem and life satisfaction [17].”
In the citing paper
“These findings may be explained, in part, by some combination of various media effects theories that have been proposed [115], including the displacement hypothesis [116, 117].”
From Screen time and mental health: a prospective analysis of the Adolescent Brain Cognitive Development (ABCD) Study (2024) · cites this paper as [115]
In the citing paper
“and depression [4,5]”
From Using Wearable Cameras to Categorize the Type and Context of Screen-Based Behaviors Among Adolescents: Observational Study (2022) · cites this paper as [4]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The brief symptom inventory: an introductory report.
Derogatis, L. R., & Melisaratos, N. (1983) · Psychological Medicine · doi:10.1017/s0033291700048017 · Cited by 6,650
Computer Self-Efficacy: Development of a Measure and Initial Test
Compeau, D. R., & Higgins, C. A. (1995) · MIS Quarterly · doi:10.2307/249688 · Cited by 6,553
Internet paradox: A social technology that reduces social involvement and psychological well-being?
Kraut, R., Patterson, M., Lundmark, V., Kiesler, S., Mukophadhyay, T., & Scherlis, W. (1998) · American Psychologist · doi:10.1037/0003-066x.53.9.1017 · Cited by 4,793
(2011) · Cited by 4,430
Downward comparison principles in social psychology
Wills, T. A. (1981) · Psychological Bulletin · doi:10.1037/0033-2909.90.2.245 · Cited by 2,705
The benefits of playing video games.
Granic, I., Lobel, A., & Engels, R. C. M. E. (2014) · American Psychologist · doi:10.1037/a0034857 · Cited by 2,456
Cognitive impairment in depression: a systematic review and meta-analysis
Rock, P. L., Roiser, J. P., Riedel, W. J., & Blackwell, A. D. (2014) · Psychological Medicine · doi:10.1017/s0033291713002535 · Cited by 2,161
Theory and research concerning social comparisons of personal attributes
Wood, J. V. (1989) · Psychological Bulletin · doi:10.1037/0033-2909.106.2.231 · Cited by 1,957
Twenge, J. M., Joiner, T. E., Rogers, M. L., & Martin, G. N. (2018) · Clinical Psychological Science · doi:10.1177/2167702617723376 · Cited by 1,705
Friend networking sites and their relationship to adolescents’ well-being and social self-esteem
Valkenburg, P. M., Peter, J., & Schouten, A. P. (2006) · CyberPsychology & Behavior · doi:10.1089/cpb.2006.9.584 · Cited by 1,531
Research works printed but not linked: 3
- World Health Organization, 2017, Depression and Other Common Mental Health Disorders, 1
- Substance Abuse and Mental Health Services Administration, 2017, Behavioral Health Barometer: United States: Indicators as Measured Through the 2015 National Survey on Drug Use and Health and National Survey of Substance Abuse Treatment Services. HHS Publication No. SMA–17–BaroUS–16
- World Health Organization, 2001, Mental Health: a Call for Action by World Health Ministers, 1
Cited by
Sorted by citations
Ellis, W. E., Dumas, T. M., & Forbes, L. M. (2020) · Canadian Journal of Behavioural Science / Revue canadienne des sciences du comportement · doi:10.1037/cbs0000215 · Cited by 830
Does time spent using social media impact mental health?: An eight year longitudinal study
Coyne, S. M., Rogers, A. A., Zurcher, J. D., Stockdale, L., & Booth, M. (2020) · Computers in Human Behavior · doi:10.1016/j.chb.2019.106160 · Cited by 701
The effect of social media on well-being differs from adolescent to adolescent
Beyens, I., Pouwels, J. L., van Driel, I. I., Keijsers, L., & Valkenburg, P. M. (2020) · Scientific Reports · doi:10.1038/s41598-020-67727-7 · Cited by 497
Social Media and Well-Being: Pitfalls, Progress, and Next Steps
Kross, E., Verduyn, P., Sheppes, G., Costello, C. K., Jonides, J., & Ybarra, O. (2021) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2020.10.005 · Cited by 474
Kandola, A. A., Lewis, G., Osborn, D., Stubbs, B., & Hayes, J. (2020) · The Lancet Psychiatry · doi:10.1016/s2215-0366(20)30034-1 · Cited by 383
Metadata
- Authors
- Boers, E., Afzali, M. H., Newton, N., & Conrod, P.
- Affiliations
- Centre Hospitalier Universitaire Sainte-Justine (CA)
- UNSW Sydney (AU)
- Corresponding author
- Boers, Elroy
- Venue
- JAMA Pediatrics
- Publisher
- American Medical Association (AMA)
- Published
- 2019-09-01
- Volume
- 173
- Issue
- 9
- Pages
- 853
- ISSN
- 1072-4710 (ISSN-L)
- 2168-6203
- PMC
- PMC6632122
- OpenAlex
- W2957614298
- Cited by
- 481
- References
- 46
- Citations by year
- 2026: 76 · 2025: 66 · 2024: 56 · 2023: 74 · 2022: 89 · 2021: 68 · 2020: 40 · 2019: 12
- FWCI
- 104.99
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Archives of Pediatrics and Adolescent Medicine (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- 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
- adolescent depression, depressive symptoms, social media use, television viewing, video gaming, computer use, displacement theory, upward social comparison, self-esteem, physical activity, within-person associations, between-person associations, longitudinal change in depression, school-based adolescents, Brief Symptom Inventory, Greater Montreal
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
