Meta-Analysis of Mind-Body Therapies for College Student Mental Health

Dingnan Zhang's network meta-analysis on figshare compares the efficacy of mind-body therapies for anxiety, depression, and sleep quality in college students. The analysis includes 27 randomized controlled trials with 2,664 participants, using Stata software for pairwise and network meta-analyses. The study ranks interventions using SUCRA values, identifying Qigong and yoga as the most effective therapies.

Use Cases

• Compare the relative efficacy of different mind-body therapies based on standardized mean difference (SMD) values.
• Rank interventions for specific outcomes (anxiety, depression, sleep) based on Surface Under the Cumulative Ranking Curve (SUCRA) scores.
• Assess risk of bias and evidence quality using Cochrane RoB 2.0 and GRADE frameworks mentioned in the methods.
• Identify promising therapies (e.g., Qigong, Baduanjin, Yoga) for further clinical research or program design.

Strengths

• Includes 27 studies with 2,664 participants, providing a quantitative synthesis.
• Uses rigorous meta-analysis methods including network meta-analysis and SUCRA ranking.
• Provides specific effect estimates (SMD) and confidence intervals (CrI) for multiple interventions.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• The authors note a limited number of included studies, which may affect reliability.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Dingnan Zhang

Collection Method

Systematic review and network meta-analysis of randomized controlled trials from seven databases.

Time Range

Literature search from inception to July 8, 2025.

Freshness

Last updated 2026-03-19 05:20:56; freshness should be verified.