Effectiveness of different exercise interventions on depressive symptoms among college students: a network meta-analysis

Background: Depression affects approximately 25% of college students globally. Physical exercise shows promise as a low-cost, high-adherence intervention for depression, but research comparing different exercise types is lacking. This study aims to evaluate the efficacy of various exercise interventions in alleviating depressive symptoms among college students through a network meta-analysis, to inform targeted exercise prescriptions. Methods: We conducted a systematic search of six databases (PubMed, Web of Science, Cochrane Library, EMBASE, SCOPUS, and ScienceDirect) from their inception to July 1, 2024. Interventions were classified into six categories based on exercise type and intensity. Data extraction and systematic analysis were performed using Review Manager 5.4. A network meta-analysis was conducted using Stata 14.0, with heterogeneity assessed via node-splitting models, and results presented as standardized mean differences (SMD) and 95% confidence intervals (CI). Results: Forty-two randomized controlled trials involving 1,169 participants were included. The network meta-analysis revealed that Special Training Unit (STU), Dynamic Resistance Movement Group (DRMG), and Aerobic Exercise Group (AEG) demonstrated high effectiveness in improving depressive symptoms. STU showed the highest probability of being the most effective intervention (65.1%), followed by DRMG (64.8%), AEG (61.3%), and Strength and Resistance Training Group (SRTG) (60.9%). High-Intensity Training Group (HITG) (26.2%) and Moderate Intensity Group (MIG) (21.7%) showed less impact. Conclusions: STU and DRMG demonstrate superior efficacy in reducing depressive symptoms among college students, suggesting that integrating rhythmic movement with psychological components may offer optimal benefits compared to intensity-focused approaches.

Yang Xiao, Chaofan Shi, Xiaotian Zhang, Haitao Liu