Evidence map›Paper›PMID 41935269›Full record

ArticleDiabetology & metabolic syndrome2026

Continuous glucose monitoring-derived glycemic variability and low skeletal muscle mass in middle-aged and older adults with type 2 diabetes mellitus: an analysis using AWGS 2025 criteria.

Yanling Yang, Hongrong Deng, Beisi Lin, Yintong Huang, Jinhua Yan, Xubin Yang, Cailian Cheng, Wen Xu

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Article in Diabetology & metabolic syndrome, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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8 authors.

Yanling Yang *Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Hongrong Deng *Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Beisi Lin *Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Yintong HuangDepartment of Endocrinology and Metabolism, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Jinhua YanDepartment of Endocrinology and Metabolism, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Xubin YangDepartment of Endocrinology and Metabolism, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China. yxbin@mail.sysu.edu.cn.
Cailian ChengDepartment of Nephrology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China. chengcailian3@163.com.
Wen XuDepartment of Endocrinology and Metabolism, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China. xwen@mail.sysu.edu.cn.

Funding

Natural Science Foundation of Guangdong Province 2022A1515012364
6 · The paper itself

Abstract

backgroundThe impact of glycemic variability (GV) on muscle mass in type 2 diabetes mellitus (T2DM) remains unclear under the updated Asian Working Group for Sarcopenia (AWGS) 2025 criteria. We investigated the association between continuous glucose monitoring (CGM)-derived GV and low skeletal muscle mass (LSMM).

methodsThis cross-sectional study included 614 hospitalized T2DM patients aged ≥ 50 years. GV metrics (SD, MODD, LAGE, and CV) were derived from 7-day CGM data. LSMM was identified using bioelectrical impedance analysis based on age-specific AWGS 2025 thresholds. Multivariate logistic regression, restricted cubic splines (RCS), subgroup, and mediation analyses were performed.

resultsPatients with LSMM exhibited significantly higher GV. In fully adjusted models, higher SD (OR = 1.36), MODD (OR = 1.38), and LAGE (OR = 1.08) were independently associated with increased LSMM risk (all p < 0.05). RCS analysis revealed a linear dose-response relationship between GV and LSMM. Subgroup analyses demonstrated consistent associations across BMI, eGFR, sex, age and HbA1c categories (all p for interaction > 0.05). Mediation analysis indicated that insulin sensitivity-related indices (HOMA2-IR) partially mediated the GV-LSMM relationship.

conclusionsElevated GV is independently associated with LSMM in middle-aged and older adults with T2DM, showing a linear dose-response pattern consistent across diverse clinical profiles. Strategies targeting glucose fluctuations may be crucial for preserving muscle mass in this population.

Indexed as

AWGS 2025Continuous glucose monitoringGlycemic variabilityInsulin resistanceLow skeletal muscle massType 2 diabetes mellitus

Identifiers

PMID41935269
PMCPMC13214399

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