ArticleAmerican journal of health behavior2018
Social Media Use and Depression and Anxiety Symptoms: A Cluster Analysis.
Article in American journal of health behavior, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 1 of them a synthesis that pooled it.
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Who cites it
58 citing papers in PubMed, 1 synthesis or guideline pooled it, 228 citations in OpenAlex.
- I tweet, therefore I am: a systematic review on social media use and disorders of the social brain.BMC psychiatry · 2025Pooled it
- The moderating effect of depression on social media use and online social support: differential effects on psychological well-being.BMC public health · 2026Article
- Exploring the relationship between social media use, eating behaviors, and depression in young women: a machine learning-based cross-sectional study.BMC public health · 2026Article
- The relationship between social media use, quality of life, and clinical symptoms in schizophrenia: a cross-sectional study.BMC psychology · 2026Article
- Conspiracy Beliefs, Institutional Mistrust, and Health-Related Behaviours During the COVID-19 Pandemic in Burkina Faso: A Mediation Analysis.The International journal of health planning and management · 2026Article
- Social media use and health outcomes as moderated by rurality among sexual minority young adults.The American journal on addictions · 2026Article
- The Comprehensive Assessment of Social Media Use: Development and Validation Study.JMIR formative research · 2026Article
- Depression and social media addiction among teenagers in a longitudinal study with dual moderation.Scientific reports · 2026Article
- Psychological distress and problematic social media use among Moroccan youth mediated by fear of missing out and social media engagement.Scientific reports · 2026Article
- Exploiting topic analysis models to explore psychological dimensions in social media data.Scientific reports · 2026Article
- Effects of Screen-Based Leisure Time on 24 Subsequent Health and Wellbeing Outcomes: A Longitudinal Outcome-Wide Analysis.International journal of behavioral medicine · 2025Article
- Metacognition, Desire Thinking, and Problematic Social Media Use: Investigating Effects of Active and Passive Engagement in Facebook and Instagram Users.Scandinavian journal of psychology · 2025Article
- Social Media Use as an Impulsive 'Escape From Freedom'.Psychological reports · 2025Article
- The Psychopathology of Problematic Smartphone Use (PSU): A Narrative Review of Burden, Mediating Factors, and Prevention.Health science reports · 2025Review
- Exploring adolescent academic stress in the digital and urban age: a mixed-methods study from CIT to checklist validation.Frontiers in psychology · 2025Article
- The relationship between social media dependency and psychological distress due to misunderstanding and fear of COVID-19 in medical students.BMC research notes · 2024Article
- Anxiety connects social media use to food and alcohol disturbance and disordered eating when social support is low.Eating behaviors · 2024Article
- Procrastination Mediates the Relationship between Problematic TikTok Use and Depression among Young Adults.Journal of clinical medicine · 2024Article
- Feasibility of combining spatial computing and AI for mental health support in anxiety and depression.NPJ digital medicine · 2024Article
- The Mediating Role of Attitudes Towards Eating in the Relationship Between Compulsive Instagram Use and Orthorexia in Adults.Psychology research and behavior management · 2024Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
objectivesIndividuals use social media with varying quantity, emotional, and behavioral at- tachment that may have differential associations with mental health outcomes. In this study, we sought to identify distinct patterns of social media use (SMU) and to assess associations between those patterns and depression and anxiety symptoms.
methodsIn October 2014, a nationally-representative sample of 1730 US adults ages 19 to 32 completed an online survey. Cluster analysis was used to identify patterns of SMU. Depression and anxiety were measured using respective 4-item Patient-Reported Outcome Measurement Information System (PROMIS) scales. Multivariable logistic regression models were used to assess associations between clus- ter membership and depression and anxiety.
resultsCluster analysis yielded a 5-cluster solu- tion. Participants were characterized as "Wired," "Connected," "Diffuse Dabblers," "Concentrated Dabblers," and "Unplugged." Membership in 2 clusters - "Wired" and "Connected" - increased the odds of elevated depression and anxiety symptoms (AOR = 2.7, 95% CI = 1.5-4.7; AOR = 3.7, 95% CI = 2.1-6.5, respectively, and AOR = 2.0, 95% CI = 1.3-3.2; AOR = 2.0, 95% CI = 1.3-3.1, respectively).
conclusionsSMU pattern characterization of a large population suggests 2 pat- terns are associated with risk for depression and anxiety. Developing educational interventions that address use patterns rather than single aspects of SMU (eg, quantity) would likely be useful.
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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.