Meta-analysis finds counterintuitive mental-health links in rural youth

A systematic review and meta-analysis of 18 studies involving 9,269 rural adolescents and young adults found that problematic social media use was associated with lower odds of depressive symptoms, anxiety symptoms and stress. The counterintuitive result emerged from studies conducted across multiple countries and regions, but the researchers said substantial heterogeneity, possible publication bias and limitations in the underlying evidence prevent a causal or protective interpretation. Instead, the authors described the findings as evidence that the relationship between problematic social media use and mental health is complex and may operate in both directions.

To synthesize the evidence, investigators searched PubMed, the Cochrane Library, Web of Science and the China National Knowledge Infrastructure. Their standardized Boolean search strategies covered social media use and mental-health outcomes. Eighteen studies met the inclusion criteria, and the researchers assessed study quality with the Newcastle–Ottawa Scale and explicit criteria for grading evidence quality. The analysis included meta-analyses, subgroup analyses, meta-regression and sensitivity analyses. It also evaluated publication bias with the trim-and-fill method and systematically assessed risk of bias across the included studies.

The pooled estimates showed statistically significant associations between problematic social media use and each of the three outcomes examined. For depressive symptoms, the reported hazard ratio was 0.25, with a 95% confidence interval of 0.20 to 0.32 and p < 0.001. For anxiety symptoms, the odds ratio was 0.33, with a 95% confidence interval of 0.27 to 0.41 and p < 0.001. For stress, the odds ratio was 0.30, with a 95% confidence interval of 0.22 to 0.41 and p < 0.001. These values represent correlations in the pooled data, not measured reductions in symptoms or evidence that social media use improved mental health.

Differences among the studies were substantial: the I² statistic exceeded 88% for all three outcomes. Subgroup analyses indicated that age, gender and regional cultural differences partly explained this variation. The trim-and-fill analysis also indicated that publication bias may have caused the unadjusted effect sizes to be overestimated. Together with the inherent limitations of cross-sectional data and conceptual overlap among the measurement tools, these features led the authors to conclude that the current evidence cannot be regarded as robust.

The review therefore does not establish that problematic social media use protects rural adolescents and young adults from depression, anxiety or stress. Because the evidence is correlational and includes cross-sectional research, it cannot determine temporal order or show whether social media use influences mental-health symptoms, existing mental health affects social-media use, or other factors contribute to both. The authors call for more rigorous longitudinal research to clarify potentially bidirectional mechanisms and identify moderating factors. Until then, the surprising pooled associations are notable but should not be treated as evidence that problematic use is safe or beneficial, and they do not justify causal conclusions about social media’s mental-health effects.

Subject of Research: Correlates of problematic social media use and mental-health symptoms among rural adolescents and young adults

Article Title: The impact of problematic social media use on mental health among rural adolescents: a systematic review and meta-analysis

Article References: Liu, S., Liu, N., Xie, H., Luo, L., Wang, C., Tang, M., & Wen, X. (2026). The impact of problematic social media use on mental health among rural adolescents: a systematic review and meta-analysis. BMC Psychology. https://doi.org/10.1186/s40359-026-05340-5

Image Credits: AI Generated

DOI: 10.1186/s40359-026-05340-5

Keywords: problematic social media use, rural adolescents, young adults, mental health, depression, anxiety, stress, systematic review, meta-analysis, cross-sectional studies, impact, problematic