Abstract
Sarcopenia is a progressive generalized skeletal muscle disorder, which may increase the risk of osteopenia. The aim of this study was to systematically review studies on the association between sarcopenia and osteopenia by pooled analysis. The PubMed and Embase databases were searched from inception to October 2020 for studies focusing on the association between sarcopenia and osteopenia. Two reviewers independently extracted data and assessed study quality. A pooled analysis was performed to calculate odds ratios (ORs) and 95% confidence intervals (CIs) using random-effects models. Subgroup analysis was conducted to explore the source of heterogeneity and the stability of outcome. A total of 25 independent studies involving 47,744 participants fulfilled the inclusion criteria. Sarcopenia significantly increased the risk of osteopenia (OR, 2.08; 95% CI, 1.66-2.60); Sensitivity analyses indicated the outcome was stable. Subgroup analyses showed that sarcopenia significantly increased osteopenia risk in each subgroup. No evidence of publication bias among the studies existed. In this study, our findings showed that sarcopenia significantly increased the risk of osteopenia. Thus, we suggest that sarcopenia can be a predictor of osteopenia risk.
Publication types
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Research Support, Non-U.S. Gov't
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Systematic Review
MeSH terms
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Adolescent
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Adult
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Aged
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Aged, 80 and over
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Bone Diseases, Metabolic / diagnosis*
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Bone Diseases, Metabolic / etiology
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Bone Diseases, Metabolic / metabolism
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Bone Diseases, Metabolic / pathology
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Bone and Bones / metabolism
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Bone and Bones / pathology*
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Case-Control Studies
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Cross-Sectional Studies
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Female
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Humans
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Male
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Middle Aged
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Muscle, Skeletal / metabolism
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Muscle, Skeletal / pathology*
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Odds Ratio
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Prognosis
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Risk Assessment
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Sarcopenia / complications
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Sarcopenia / diagnosis*
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Sarcopenia / metabolism
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Sarcopenia / pathology
Associated data
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figshare/10.6084/m9.figshare.14080040
Grants and funding
This project was funded by the National Natural Science Foundation of China under grant nos. 31960136 (Zhaowei Teng), 81760136 (Yun Zhu), 81660156 (Zhaowei Teng), 81960268 (Sheng Lu); by the Joint Special Fund of Applied Fundamental Research of Kunming Medical University granted by the Science and Technology Office of Yunnan under grant nos. 2018FE001(-175) (Zhaowei Teng) and 2018FE001(-174) (Yun Zhu); and by the Yunnan Health Training Project of High-level Talents under grant nos. H-2017064 (Zhaowei Teng) and H-2017028 (Yun Zhu). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.