Exercise Modality Effects on Immunometabolic Biomarkers in Postmenopausal Obesity

A Bayesian network meta-analysis synthesizing 39 randomized controlled trials (N=2,714 participants; mean age 58.8 years) to compare exercise modalities. The analysis, authored by Gang Huang and last updated in April 2026, evaluates the efficacy of aerobic, resistance, high-intensity interval, and combined training on chronic low-grade systemic inflammation biomarkers in postmenopausal women with overweight or obesity.

Use Cases

• Compare the efficacy of different exercise modalities on systemic C-reactive protein (CRP) based on standardized mean differences.
• Rank exercise interventions for attenuating interleukin-6 (IL-6) and tumor necrosis factor-α (TNF-α) based on Surface Under the Cumulative Ranking curve (SUCRA) probabilities.
• Assess the certainty of evidence for exercise effects on immunometabolic biomarkers using the GRADE framework mentioned in the description.

Strengths

• Synthesizes data from 39 randomized controlled trials involving 2,714 participants.
• Provides specific standardized mean differences with 95% credible intervals for key biomarkers like CRP, IL-6, and TNF-α.
• Includes probabilistic hierarchical rankings (SUCRA) for comparing exercise modalities.

Limitations

• The overall certainty of evidence is rated as low to very low, requiring cautious interpretation.
• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

figshare

Collection Method

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

Time Range

Trials searched from database inception to November 2025.

Freshness

Last updated 2026-04-30 04:21:14; freshness should be verified.