ArticleJAMA psychiatry2019
Associations Between Time Spent Using Social Media and Internalizing and Externalizing Problems Among US Youth.
Article in JAMA psychiatry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05675020 (Promote Healthy Lifestyle Behaviors for Adolescents With Mental Health Conditions), which is not on this map. Cited by 168 papers, 4 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Promote Healthy Lifestyle Behaviors for Adolescents With Mental Health Conditions
Who cites it
168 citing papers in PubMed, 4 syntheses or guidelines pooled it, 442 citations in OpenAlex.
- Weapon or Armor? Unpacking the Paradox of Narcissism and Self-Reported Mental Health Through a Three-Level Meta-Analysis.Journal of personality · 2026Pooled it
- Exploring the relationship between social media use and loneliness in adolescents and young adults: a systematic review and meta-analysis.Social psychiatry and psychiatric epidemiology · 2026Pooled it
- The impact of premature birth and low birth weight on motor, visual, and cognitive skills and mental health in adolescence: a systematic review and meta-analysis.European child & adolescent psychiatry · 2026Pooled it
- Prevalence of problematic smartphone usage and associated mental health outcomes amongst children and young people: a systematic review, meta-analysis and GRADE of the evidence.BMC psychiatry · 2019Pooled it
- Designing Social Media Health Warnings for Teenagers and Young Adults: A Randomized Clinical Trial.JAMA health forum · 2026Trial
- A randomized controlled trial evaluating the effects of social networking on chronic disease management in rheumatoid arthritis.Seminars in arthritis and rheumatism · 2022Trial
- Child Health Challenges, Ecosystem Mismatches, and the Case for State-Level Policy Innovation.The Milbank quarterly · 2026Article
- Recreational screen use and internalizing problems from preadolescence to young adulthood in a longitudinal twin cohort with co-twin comparison.Nature human behaviour · 2026Article
- Modeling Daily Digital Experiences in Adolescents: A Multilevel Latent Class Analysis of Social Media Engagement Patterns and Exposure to Alcohol-Related Content.International journal of human-computer interaction · 2026Article
- From Exposure to Interaction: Rethinking Assessment of Social Media Use in Adolescents.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2026Article
- Heterogeneities by Age and Sex in Associations Between Electronic Device Use Frequency and Comorbid Mental Health Symptoms: The Roles of Self-Efficacy and Social Support.Healthcare (Basel, Switzerland) · 2026Article
- Clarifying the Association Between Digital Media Engagement and Risk Taking.Technology in society · 2026Article
- Associations between active and passive social media use and anxious affect among adolescents around the world.Journal of mood and anxiety disorders · 2026Article
- Naturalistic Online Language as a Marker of Depression in Midlife and Older Adults: Computational Text Analysis of Bluesky and Reddit Posts.Journal of medical Internet research · 2026Article
- Article
- Suicidal Ideation, Screen Time, and Online Harassment Among College Students: Gender Differences in a National Survey, United States, 2023-2024.American journal of public health · 2026Article
- Adolescent social media use and psychiatric outcomes: a longitudinal mediation analysis via interpersonal distrust, sleep, and self-image.Social psychiatry and psychiatric epidemiology · 2026Article
- Mental health outcomes in young adolescents born preterm reveal the need for earlier screening.European psychiatry : the journal of the Association of European Psychiatrists · 2026Article
- Predicting comorbid anxiety in adolescents with major depressive disorder: an EEG-based machine learning approach with SHAP interpretability.Translational psychiatry · 2026Article
- Assessing early effects of Australia's Social Media Minimum Age Act on adolescents' social media use: observational study.BMJ (Clinical research ed.) · 2026Observational
108 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
9 authors at 4 institutions in 1 country.
Funding
Abstract
Importance: Social media use may be a risk factor for mental health problems in adolescents. However, few longitudinal studies have investigated this association, and none have quantified the proportion of mental health problems among adolescents attributable to social media use. Objective: To assess whether time spent using social media per day is prospectively associated with internalizing and externalizing problems among adolescents. Design, Setting, and Participants: This longitudinal cohort study of 6595 participants from waves 1 (September 12, 2013, to December 14, 2014), 2 (October 23, 2014, to October 30, 2015), and 3 (October 18, 2015, to October 23, 2016) of the Population Assessment of Tobacco and Health study, a nationally representative cohort study of US adolescents, assessed US adolescents via household interviews using audio computer-assisted self-interviewing. Data analysis was performed from January 14, 2019, to May 22, 2019. Exposures: Self-reported time spent on social media during a typical day (none, ≤30 minutes, >30 minutes to ≤3 hours, >3 hours to ≤6 hours, and >6 hours) during wave 2. Main Outcomes and Measure: Self-reported past-year internalizing problems alone, externalizing problems alone, and comorbid internalizing and externalizing problems during wave 3 using the Global Appraisal of Individual Needs-Short Screener. Results: A total of 6595 adolescents (aged 12-15 years during wave 1; 3400 [51.3%] male) were studied. In unadjusted analyses, spending more than 30 minutes of time on social media, compared with no use, was associated with increased risk of internalizing problems alone (≤30 minutes: relative risk ratio [RRR], 1.30; 95% CI, 0.94-1.78; >30 minutes to ≤3 hours: RRR, 1.89; 95% CI, 1.36-2.64; >3 to ≤6 hours: RRR, 2.47; 95% CI, 1.74-3.49; >6 hours: RRR, 2.83; 95% CI, 1.88-4.26) and comorbid internalizing and externalizing problems (≤30 minutes: RRR, 1.39; 95% CI, 1.06-1.82; >30 minutes to ≤3 hours: RRR, 2.34; 95% CI, 1.83-3.00; >3 to ≤6 hours: RRR, 3.15; 95% CI, 2.43-4.09; >6 hours: RRR, 4.29; 95% CI, 3.22-5.73); associations with externalizing problems were inconsistent. In adjusted analyses, use of social media for more than 3 hours per day compared with no use remained significantly associated with internalizing problems alone (>3 to ≤6 hours: RRR, 1.60; 95% CI, 1.11-2.31; >6 hours: RRR, 1.78; 95% CI, 1.15-2.77) and comorbid internalizing and externalizing problems (>3 to ≤6 hours: RRR, 2.01; 95% CI, 1.51-2.66; >6 hours: RRR, 2.44; 95% CI, 1.73-3.43) but not externalizing problems alone. Conclusions and Relevance: Adolescents who spend more than 3 hours per day using social media may be at heightened risk for mental health problems, particularly internalizing problems. Future research should determine whether setting limits on daily social media use, increasing media literacy, and redesigning social media platforms are effective means of reducing the burden of mental health problems in this population.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.