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Musculoskeletal Pain during the Menopausal Transition: A Systematic Review and Meta-Analysis

Lu, Chang-bo, Liu, Peng-fei, Zhou, Yong-sheng, Meng, Fan-cheng, Qiao, Tian-yun, Yang, Xiao-jiang, Li, Xu-yang, Xue, Qian, Xu, Hui, Liu, Ya, Han, Yong, Zhang, Yang·2020·Neural Plasticity
DOI 10.1155/2020/8842110
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Abstract

Musculoskeletal pain (MSP) is one of the most severe complaints in women undergoing menopause. The prevalence of MSP varied when taking the menopausal state and age factor into consideration. This study investigated the prevalence of MSP in perimenopausal women and its association with menopausal state. The MEDLINE, Embase, Web of Science, and PubMed databases were searched from inception to July 2020, and 16 studies were retrieved for the current meta-analysis. The primary outcome measure was the MSP Odds Ratio (OR). The estimated overall prevalence of MSP among perimenopausal women was 71% (4144 out of 5836, 95% confidence interval (CI): 64%-78%). Perimenopausal women demonstrated a higher risk for MSP than premenopausal ones (OR: 1.63, 95% CI: 1.35-1.96, P = 0.008 , I 2 = 59.7 % ), but similar to that in postmenopausal ones (OR: 1.07, 95% CI: 0.95–1.20, P = 0.316 , I 2 = 13.4 % ). The postmenopausal women were at a higher risk of moderate/severe MSP than the premenopausal ones (OR: 1.45, 95% CI: 1.21-1.75, P = 0.302 , I 2 = 16.5 % ) or the perimenopausal ones (OR: 1.40, 95% CI: 1.09–1.79, P = 0.106 , I 2 = 55.4 % ). In conclusion, the perimenopause is a state during which women are particularly predisposed to develop MSP. As to moderate to severe degrees of MSP, the odds increase linearly with age, from premenopause to peri- and then to postmenopause.

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Metadata

Authors
Lu, C.-B., Liu, P.-F., Zhou, Y.-S., Meng, F.-C., Qiao, T.-Y., Yang, X.-J., Li, X.-Y., Xue, Q., Xu, H., Liu, Y., Han, Y., & Zhang, Y.
Affiliations
  • Departments of Orthopaedic Surgery, Xijing Hospital, Fourth Military Medical University, Xi’an, Shanxi 710032, China
  • Departments of Urinary Surgery, Xijing Hospital, Fourth Military Medical University, Xi’an, Shanxi 710032, China
  • Department of Thoracic Surgery, Tangdu Hospital, Fourth Military Medical University, Xi’an, Shanxi 710038, China
  • Department of Neurobiology and Collaborative Innovation Center for Brain Science, School of Basic Medicine, Fourth Military Medical University, Xi’an, Shanxi 710032, China
  • Department of Out-Patient, Xijing Hospital, Fourth Military Medical University, Xi’an, Shaanxi 710032, China
ORCID
Venue
Neural Plasticity
Publisher
Wiley
Published
2020-11-25
Volume
2020
Pages
1-10
ISSN
  • 1687-5443
  • 2090-5904
DOI
10.1155/2020/8842110
Cited by
74
References
0
Language
en
Licence
creativecommons.org/licenses/by/4.0/ (unspecified)
Funders
  • booster program of Xijing hospital (XJZT18ML34, 31371120, 81671081, 81772462)
  • National Natural Science Foundation of China (XJZT18ML34, 31371120, 81671081, 81772462)

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.