Yoga Effects on Cardiometabolic Health in Overweight Adults: Meta-Analysis Results

Widya Wasityastuti's systematic review and meta-analysis, published on figshare in April 2026, examines yoga interventions for cardiometabolic health in adults with overweight or obesity. The dataset includes results from 30 randomized controlled trials involving 2,689 participants, with meta-analyses conducted on 23 trials covering 2,313 individuals. It provides effect size estimates for outcomes like blood pressure, lipids, glucose, redox, and inflammation.

Use Cases

• Validate effect sizes for yoga on systolic and diastolic blood pressure based on the reported meta-analysis results.
• Assess the quality of evidence for yoga's impact on lipid profiles using the GRADEpro evaluations mentioned.
• Investigate ethnic differences and dose-response effects noted in the subgroup analyses.
• Support the inclusion of yoga in clinical guidelines based on the synthesized evidence for overweight or obese populations.

Strengths

• Includes results from 30 randomized controlled trials, a substantial evidence base.
• Meta-analysis covers 2,313 participants, providing aggregated effect estimates.
• Uses standardized tools for quality assessment (Risk of Bias 2, GRADEpro).
• Protocol was pre-registered (INPLASY ID: 2023100068), enhancing methodological transparency.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for certain analyses.
• The evidence for effects on glucose, redox, and inflammation parameters is described as uncertain.

Provenance

Source

Widya Wasityastuti via figshare.

Collection Method

Systematic review and meta-analysis of randomized controlled trials sourced from seven major electronic databases and two clinical trial registries.

Time Range

Literature search covered from database inception to November 2024.

Freshness

Last updated 2026-04-22 17:25:59; freshness should be verified.

Geography

Studies likely include global populations, though subgroup analyses noted ethnic differences and a need for more research in non-Asian populations.