Social Media Use and Internalizing Symptoms in Clinical and Community Adolescent Samples

医学 心理信息 梅德林 社会化媒体 临床心理学 检查表 人口 心理健康 斯科普斯 焦虑 社交焦虑 奇纳 精神科 心理干预 环境卫生 心理学 政治学 法学 认知心理学
作者
Luisa Fassi,Kirsten Thomas,Douglas A. Parry,Amelia Leyland-Craggs,Tamsin Ford,Amy Orben
出处
期刊:JAMA Pediatrics [American Medical Association]
标识
DOI:10.1001/jamapediatrics.2024.2078
摘要

Importance In response to widespread concerns about social media’s influence on adolescent mental health, most research has studied adolescents from the general population, overlooking clinical groups. Objective To synthesize, quantify, and compare evidence on the association between social media use and internalizing symptoms in adolescent clinical and community samples. Data Sources Peer-reviewed publications from MEDLINE, Web of Science, PsycInfo, and Scopus (initially reviewed in May 2022 and updated in October 2023) and preprints from Europe PubMed Central (February 2023) published in English between 2007 and 2023. Study Selection Two blinded reviewers initially identified 14 211 cross-sectional and longitudinal studies quantifying the association between social media use and internalizing symptoms, excluding experimental studies and randomized clinical trials. Data Extraction and Synthesis PRISMA and MOOSE guidelines were followed, pooling data using a random-effects model and robust variance estimation. The quality of evidence was assessed using the Quality of Survey Studies in Psychology Checklist. Main Outcomes and Measures Articles were included if they reported at least 1 quantitative measure of social media use (time spent, active vs passive use, activity, content, user perception, and other) and internalizing symptoms (anxiety, depression, or both). Results The 143 studies reviewed included 1 094 890 adolescents and 886 effect sizes, 11% of which examined clinical samples. In these samples, a positive and significant meta-correlation was found between social media use and internalizing symptoms, both for time spent (n = 2893; r , 0.08; 95% CI, 0.01 to 0.15; P = .03; I 2 , 57.83) and user engagement (n = 859; r , 0.12; 95% CI, 0.09 to 0.15; P = .002; I 2 , 82.67). These associations mirrored those in community samples. Conclusions and Relevance The findings in this study highlight a lack of research on clinical populations, a critical gap considering public concerns about the increase in adolescent mental health symptoms at clinical levels. This paucity of evidence not only restricts the generalizability of existing research but also hinders our ability to evaluate and compare the link between social media use and mental health in clinical vs nonclinical populations.
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