Social Media Use and Internalizing Symptoms in Clinical and Community Adolescent Samples : A Systematic Review and Meta-Analysis

Abstract

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.