可能的肌肉减少症、肌肉减少性肥胖表型及其与糖尿病的关联：来自印度老年纵向调查第一轮（2017 - 2018年）的证据

Possible sarcopenia, sarcopenic obesity phenotypes and their association with diabetes: Evidence from LASI wave-1 (2017-18).

作者信息

Kaur Inderdeep, Das Shromona, Chandel Shivangi, Chandel Shivani

机构信息

Department of Anthropology, University of Delhi, Delhi, 110007, India; Laboratory of Kinanthropometry, Ergonomics and Physiological Anthropology, Department of Anthropology, University of Delhi, Delhi, 110007, India.

Jindal School of Government and Public Policy, O.P Jindal Global University, Sonepat, Haryana, 131001, India.

出版信息

Diabetes Metab Syndr. 2025 Feb;19(2):103185. doi: 10.1016/j.dsx.2025.103185. Epub 2025 Jan 10.

DOI:10.1016/j.dsx.2025.103185

PMID:39818062

Abstract

AIMS

To assess the prevalence of possible sarcopenia and sarcopenic obesity phenotypes and investigate their association with self-reported diabetes among community-dwelling individuals aged 45 or above.

METHODS

Utilizing data from 62,899 individuals in LASI wave-1 (2017-18), the assessment of possible sarcopenia was done on two critical parameters: muscle (handgrip) strength and physical performance (gait speed), following the 2019 guidelines from the Asian working group on sarcopenia (AWGS). BMI, WC, WHR, and WHtR defined sarcopenic obesity phenotypes. Binary logistic regression analysis explored the association of possible sarcopenia and sarcopenic obesity phenotypes with self-reported diabetes.

RESULTS

The prevalence of possible sarcopenia and sarcopenic obesity defined by BMI was found to be 44.4 % and 10.6 %, respectively. Individuals with possible sarcopenia exhibited a 1.18 times higher likelihood of developing self-reported diabetes (p < 0.001), while those with sarcopenic obesity by BMI had significantly elevated odds (1.94, 95 % CI 1.81-2, p < 0.001) for self-reported diabetes.

CONCLUSIONS

Sarcopenia and sarcopenic obesity phenotypes may increase the risk of developing diabetes as we age. Therefore, it is imperative to formulate targeted preventive and therapeutic strategies to combat sarcopenia and diabetes among the aging population.

摘要

目的

评估社区居住的45岁及以上人群中可能存在的肌少症和肌少症肥胖表型的患病率，并调查它们与自我报告的糖尿病之间的关联。

方法

利用LASI第一轮（2017 - 18年）中62899名个体的数据，按照亚洲肌少症工作组（AWGS）2019年的指南，对两个关键参数进行可能的肌少症评估：肌肉（握力）力量和身体表现（步速）。BMI、腰围、腰臀比和腰高比定义了肌少症肥胖表型。二元逻辑回归分析探讨了可能的肌少症和肌少症肥胖表型与自我报告的糖尿病之间的关联。