An appropriate ASMI cutoff value enhances utilization of the CHARLS database for studying sarcopenia

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ID: 317430
2026
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Abstract
BACKGROUND: Sarcopenia research based on the China Health and Retirement Longitudinal Study (CHARLS) frequently employs an anthropometric equation to estimate appendicular skeletal muscle mass (ASM). Liu et al. recently questioned the reliability of this equation. We aimed to validate the equation against bioelectrical impedance analysis (BIA) measurements and to examine the impact of different cutoff values for low muscle mass used in CHARLS-based studies. METHODS: We retrospectively analyzed BIA data from 548 diabetic patients (age range 23-90 years, median 62 years; 41.06% women). ASM measured by BIA (bASM) was compared with ASM calculated by the equation (cASM). Spearman correlation, intraclass correlation coefficient (ICC), and Bland‑Altman analysis were performed. Two commonly used height‑adjusted ASM (ASM/Ht2) cutoff sets were tested against the AWGS 2019 reference standard. RESULTS: cASM correlated strongly with bASM (r = 0.94, p < 0.001). ICC demonstrated excellent agreement (0.933; 95% CI 0.919-0.945). Bland‑Altman plots showed acceptable limits of agreement. One cutoff set (men 7.05, women 5.63 kg/m2) showed almost perfect agreement with AWGS 2019 (Kappa = 0.909, McNemar p = 1.000), whereas the other set (men 6.79, women 4.90 kg/m2) showed only moderate agreement (Kappa = 0.492) and a significant level of discordance (McNemar p < 0.001). CONCLUSION: The ASM estimation equation remains valid for CHARLS-based sarcopenia research, including in diabetic populations. To avoid misclassification and ensure cross-study comparability, we recommend using AWGS 2019-aligned cutoffs.
Reference Key
openalex_W7164829325 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Li An, Wei Gao, Liqun Ren, Yi-Xiang Wang, Yao Wang
Journal the journals of gerontology series a, biological sciences and medical sciences
Year 2026
DOI
10.1093/gerona/glag160
URL
https://doi.org/10.1093/gerona/glag160
Keywords Keywords not found

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