Effects of dietary supplements on bone turnover markers in women after menopause: a network meta-analysis.
- 2025-09-08
- PeerJ 13
- Yan Wei
- Congjie Lei
- Yue Zhong
- Hongchun Shen
- PubMed: 40949733
- DOI: 10.7717/peerj.19882
Study Design
- Type
- Meta-Analysis
- Population
- postmenopausal women
- Methods
- Network meta-analysis (NMA) of 43 RCTs involving 5,184 postmenopausal women, retrieved from PubMed, Embase, Cochrane Library, and Web of Science from inception to November 20, 2024. Bayesian NMA conducted using R software; risk of bias assessed with ROB 2.0; publication bias assessed with Stata 15.1.
- Rigorous Journal
Background
Diminished estrogen levels in women after menopause contribute to an elevated risk of decreased bone mineral density (BMD) and disturbed bone metabolism. Dietary supplements are extensively employed as substitutes for prescription drugs, serving as a significant approach to modulate bone metabolism and improve bone health. Nevertheless, a lack of robust evidence prevents clinicians and patients from making the best-informed choices at present. Accordingly, a network meta-analysis (NMA) was performed to provide a comprehensive comparison of the effects of different dietary supplements on bone turnover biomarkers among postmenopausal women.Methods
PubMed, Embase, Cochrane Library, and Web of Science databases were retrieved from their inception to November 20, 2024. Randomized controlled trials (RCTs) assessing the strength of dietary supplements in women after menopause were adopted in this research. Primary outcome indicators encompassed C-terminal telopeptide of type I collagen (CTX), procollagen type I N-terminal propeptide (P1NP), osteocalcin (OC), bone alkaline phosphatase (BAP), alkaline phosphatase (ALP), and N-terminal telopeptide of type I collagen (NTX). Risk of bias assessment was performed for each enrolled trial utilizing the ROB 2.0. A Bayesian NMA was conducted utilizing the R software (V4.4.1). Publication bias was assessed utilizing Stata 15.1.Results
Forty-three RCTs involving 5,184 postmenopausal women were adopted. Research findings revealed that CTX levels decreased most substantially with vitamin E supplementation (SUCRA: 82.37%). Combining vitamin D and vitamin K most effectively elevated P1NP (SUCRA: 100.00%) and OC (SUCRA: 97.05%) levels. The greatest increase in BAP levels (SUCRA: 95.50%) was observed with vitamin K supplementation. Calcium supplementation yielded the largest elevation in ALP levels (SUCRA: 96.68%). Furthermore, protein supplementation resulted in the most significant reduction in NTX levels (SUCRA: 81.20%).Conclusion
Dietary supplementation may serve as an important strategy for enhancing bone health in women after menopause by regulating bone metabolism. By promoting bone formation and inhibiting bone resorption, vitamin D, vitamin E, vitamin K, calcium, and protein may help mitigate the progression of osteoporosis.Research Insights
Calcium supplementation yielded the largest elevation in ALP levels (SUCRA: 96.68%).
- Effect
- Beneficial
- Effect size
- Large
Furthermore, protein supplementation resulted in the most significant reduction in NTX levels (SUCRA: 81.20%).
- Effect
- Beneficial
- Effect size
- Large
Combining vitamin D and vitamin K most effectively elevated P1NP (SUCRA: 100.00%) and OC (SUCRA: 97.05%) levels.
- Effect
- Beneficial
- Effect size
- Large
Combining vitamin D and vitamin K most effectively elevated P1NP (SUCRA: 100.00%) and OC (SUCRA: 97.05%) levels.
- Effect
- Beneficial
- Effect size
- Large
CTX levels decreased most substantially with vitamin E supplementation (SUCRA: 82.37%).
- Effect
- Beneficial
- Effect size
- Large
The greatest increase in BAP levels (SUCRA: 95.50%) was observed with vitamin K supplementation.
- Effect
- Beneficial
- Effect size
- Large
Combining vitamin D and vitamin K most effectively elevated P1NP (SUCRA: 100.00%) and OC (SUCRA: 97.05%) levels.
- Effect
- Beneficial
- Effect size
- Large
Combining vitamin D and vitamin K most effectively elevated P1NP (SUCRA: 100.00%) and OC (SUCRA: 97.05%) levels.
- Effect
- Beneficial
- Effect size
- Large