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2 型糖尿病女性患者肌少症的风险因素及二甲双胍的影响:一项来自英国生物样本库的 7731 名患者的横断面研究

 

Authors Liao N, Chen J, Hu W, Shi H, Liu S, Zhang Z, Lin Y, Qiu X, Chen Y, Liang T, Shi P, Gao W 

Received 26 July 2025

Accepted for publication 5 November 2025

Published 15 November 2025 Volume 2025:17 Pages 4529—4540

DOI https://doi.org/10.2147/IJWH.S556435

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Dr Vinay Kumar

Nianchun Liao,1,* Jianan Chen,1,* Wenjun Hu,1,* Huihong Shi,1 Song Liu,1 Zaoqiang Zhang,1 Youxi Lin,1 Xianjian Qiu,1 Yanbo Chen,1 Tongzhou Liang,2 Peijie Shi,3 Wenjie Gao1 

1Department of Orthopedics, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, People’s Republic of China; 2Musculoskeletal Research Laboratory of Department of Orthopaedics & Traumatology and Innovative Orthopaedic Biomaterial and Drug Translational Research Laboratory, Li Ka Shing Institute of Health, The Chinese University of Hong Kong, Hong Kong SAR, People’s Republic of China; 3Department of Endocrinology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, People’s Republic of China

*These authors contributed equally to this work

Correspondence: Wenjie Gao, Department of Orthopedics, Sun Yat-Sen Memorial Hospital, Sun Yat-sen University, Guangzhou, People’s Republic of China, Tel +8634071700, Email gaowj7@mail.sysu.edu.cn Peijie Shi, Department of Endocrinology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, People’s Republic of China, Email shipj5@mail.sysu.edu.cn

Objective: To examine the sarcopenia risk factors and the association between metformin use and sarcopenia in female patients with Type 2 diabetes mellitus (T2DM) through a cross-sectional analysis of data from the UK Biobank.
Methods: In a cross-sectional analysis of 7,731 women with T2DM from the UK Biobank, participants were categorized into nonsarcopenia, probable sarcopenia, and sarcopenia groups based on the European Working Group on Sarcopenia in Older People 2 (EWGSOP2) criteria. Logistic regression models were employed to investigate the association between metformin use and sarcopenia, adjusting for age, education, physical activity, and comorbidities.
Results: The prevalence of probable sarcopenia and sarcopenia was 16.2% and 3.4%, respectively, with rates increasing with age. Metformin use was significantly associated with a higher risk of sarcopenia (adjusted OR 1.13; 95% CI 1.01– 1.26). This association remained consistent across various subgroups, including different age ranges and levels of physical activity.
Conclusion: Metformin use was cross-sectionally associated with higher odds of sarcopenia, particularly in older women with low physical activity and comorbidities. These findings highlight the need for further longitudinal and mechanistic studies to confirm the relationship and explore potential underlying mechanisms.

Keywords: sarcopenia, metformin, UK Biobank, type 2 diabetes mellitus