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Bayesian network meta-analysis compares exercise modalities for systemic inflammation in postmenopausal women

Bayesian network meta-analysis compares exercise modalities for systemic inflammation in postmenopau…
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Key Takeaway
Note that different exercise modalities may target specific inflammatory biomarkers in postmenopausal women.

This Bayesian network meta-analysis synthesized data from 39 RCTs, involving 2,714 participants, to compare the effects of aerobic training (AT), resistance training (RT), high-intensity interval training (HIIT), and combined training (CT) on biomarkers of chronic low-grade systemic inflammation in postmenopausal women with overweight or obesity.

Regarding systemic C-reactive protein (CRP), RT produced the largest reduction (SMD: -0.97; 95% CrI [-1.52, -0.42]), followed by AT (SMD: -0.57; 95% CrI [-1.16, -0.02]). For circulating interleukin-6 (IL-6), CT demonstrated downregulation (SMD: -1.58; 95% CrI [-2.62, -0.56]). In terms of tumor necrosis factor-alpha (TNF-alpha), CT showed the highest probability of suppression (SMD: -0.99; 95% CrI [-1.71, -0.23]), followed by AT (SMD: -0.75; 95% CrI [-1.20, -0.31]). Systemic leptin levels remained unchanged.

The authors noted several limitations, including low to very low certainty of evidence and sparse direct evidence for the effects of HIIT, which presented wide credible intervals crossing the null.

Clinically, these findings suggest that distinct exercise modalities may elicit biomarker-specific anti-inflammatory responses. Specifically, RT may mitigate systemic CRP, while CT may attenuate IL-6 and TNF-alpha. However, these modality-specific efficacies should be interpreted cautiously due to the low certainty of the evidence.

Study Details

Study typeMeta analysis
EvidenceLevel 1
PublishedApr 2026
View Original Abstract ↓
ObjectiveThe present Bayesian network meta-analysis (NMA) aims to evaluate and compare the efficacy of aerobic training (AT), resistance training (RT), high-intensity interval training (HIIT), and combined training (CT) on biomarkers of chronic low-grade systemic inflammation (CLGSI) in postmenopausal women with overweight or obesity.MethodsFive databases were systematically searched from inception to November 2025 (PROSPERO: CRD420251237915) for randomized controlled trials (RCTs). Inclusion required strict clinical verification of postmenopausal status and adiposity. Standardized mean differences (SMDs) with 95% credible intervals (CrIs) quantified comparative efficacy. Surface Under the Cumulative Ranking curve (SUCRA) established probabilistic hierarchical rankings, and the GRADE framework evaluated the certainty of evidence.ResultsSynthesis of 39 RCTs (N = 2,714; mean age: 58.8 ± 9.2 years) indicated biomarker-specific adaptations. RT produced the largest reduction in systemic C-reactive protein (CRP) (SMD = -0.97, 95% CrI [-1.52, -0.42]), followed by AT (SMD = -0.57, 95% CrI [-1.16, -0.02]). CT downregulated circulating interleukin-6 (IL-6) (SMD = -1.58, 95% CrI [-2.62, -0.56]) and demonstrated the highest probability of suppressing circulating tumor necrosis factor-α (TNF-α) (SMD = -0.99, 95% CrI [-1.71, -0.23]), followed by AT (SMD = -0.75, 95% CrI [-1.20, -0.31]). Sparse direct evidence for HIIT yielded wide credible intervals crossing the null. Systemic leptin levels remained unchanged. The overall certainty of evidence was rated as low to very low.ConclusionDistinct exercise modalities elicit biomarker-specific anti-inflammatory responses in postmenopausal women with overweight or obesity. Based on probabilistic rankings, RT demonstrates the highest potential for mitigating systemic CRP, whereas CT appears most effective in attenuating IL-6 and TNF-α. The stability of systemic leptin levels indicates that physical activity alone may be insufficient to reverse hyperleptinemia. Given the low to very low certainty of evidence, these modality-specific efficacies should be interpreted cautiously as probabilistic targets to inform biomarker-guided exercise prescriptions.Systematic Review Registrationhttps://www.crd.york.ac.uk/prospero/, identifier CRD420251237915.
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