ArticleJournal of medical Internet research2026
Exploring Social Media Use and Anxiety Symptoms in Health Care Workers During the COVID-19 Pandemic: Cross-Sectional Secondary Data Analysis.
Article in Journal of medical Internet research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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4 authors.
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Abstract
Background: Health care workers (HCWs) experienced significant mental health challenges, particularly anxiety, during the COVID-19 pandemic. Although social media became a primary source of information and connection, it was also a potential source of stress. The influence of social media on HCWs' anxiety is not well understood. Objective: This study examined associations between social media use and anxiety symptoms among HCWs during the COVID-19 pandemic. Methods: We conducted a secondary, cross-sectional analysis of data from the 2021 UC-COVID study (N=427 HCWs). Anxiety symptoms were assessed using the Generalized Anxiety Disorder-2 (GAD-2). Social media use across multiple platforms (Twitter, Facebook, Instagram, other social media platforms, and other media sources) was evaluated using factor analysis to create a single variable for social media use. Logistic regression models estimated associations between overall social media use and anxiety symptoms, both unadjusted and adjusted for demographic, occupational, and health-related characteristics. Results: Factor analysis supported a single latent factor representing overall social media use, with all platform indicators loading significantly on the factor ( Conclusions: Study findings highlight the multifactorial nature of anxiety symptoms in HCWs and the need to consider social media use as an important contributor. Integrating HCWs and multiplatform social media use into a single measure offered an innovative lens on digital behavior and anxiety symptoms. The rapidly evolving digital landscape underscores the need for continued research. Future studies should include emerging social media platforms (ie, TikTok, Reddit, YouTube) as usage patterns shift over time. Longitudinal and mixed methods approaches are necessary to understand patterns and methods of social media use over time. Larger and more diverse HCW samples, stronger mental health measures (eg, GAD-7, depression, and burnout scales), and analyses stratified by clinical role and sociodemographic factors will be essential to guide interventions supporting mental health and well-being.
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