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ORIGINAL RESEARCH article

Front. Endocrinol.

Sec. Clinical Diabetes

Determinants and predictive performance of reduced muscle mass in elderly patients with type 2 diabetes: a retrospective study

  • Cheeloo College of Medicine, Shandong University, Jinan, China

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Abstract

Objective: This study aimed to identify risk factors for low muscle mass among elderly patients with type 2 diabetes mellitus (T2DM). Methods: In this cross-sectional study, 521 elderly T2DM patients were enrolled, comprising 253 with low muscle mass and 268 with normal muscle mass. Clinical characteristics were compared between groups and stratified by gender. Binary logistic regression was conducted to identify risk factors for muscle mass reduction. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the predictive performance of relevant factors for low muscle mass. Results: Patients with reduced muscle mass were older and had lower body mass index (BMI) and waist-to-hip ratio (WHR). Age, BMI, and diabetic sensorimotor polyneuropathy (DSPN) were independently associated with low muscle mass in elderly T2DM patients across both genders. The odds ratios (P < 0.05) were 1.098, 0.590, and 2.334 for males, and 1.063, 0.681, and 3.621 for females, respectively. We also found insulin use was independently associated with a lower risk of low muscle mass in men, whereas sulfonylurea use was associated with a higher risk in women. Among the significant variables, BMI demonstrated the greatest discriminatory ability for identifying reduced muscle mass, with AUCs of 0.815(95%CI:0.763-0.859) in men and 0.763(95%CI:0.705-0.814) in women. Conclusions: Older age, lower BMI, DSPN, and the use of insulin and sulfonylureas were independently associated with reduced muscle mass in elderly patients with T2DM. BMI demonstrated the strongest discriminative capacity among all significant variables.

Summary

Keywords

Discriminatorypower, Risk factors, Sarcopenia, Skeletal muscle mass, type 2 diabetes mellitus

Received

15 November 2025

Accepted

16 February 2026

Copyright

© 2026 Wang, Fu, Pan and Dong. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Jianjun Dong

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