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

IF 4.3 Q1 ENDOCRINOLOGY & METABOLISM
Inderdeep Kaur , Shromona Das , Shivangi Chandel , Shivani Chandel
{"title":"Possible sarcopenia, sarcopenic obesity phenotypes and their association with diabetes: Evidence from LASI wave-1 (2017-18)","authors":"Inderdeep Kaur ,&nbsp;Shromona Das ,&nbsp;Shivangi Chandel ,&nbsp;Shivani Chandel","doi":"10.1016/j.dsx.2025.103185","DOIUrl":null,"url":null,"abstract":"<div><h3>Aims</h3><div>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.</div></div><div><h3>Methods</h3><div>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.</div></div><div><h3>Results</h3><div>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 &lt; 0.001), while those with sarcopenic obesity by BMI had significantly elevated odds (1.94, 95 % CI 1.81–2, p &lt; 0.001) for self-reported diabetes.</div></div><div><h3>Conclusions</h3><div>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.</div></div>","PeriodicalId":48252,"journal":{"name":"Diabetes & Metabolic Syndrome-Clinical Research & Reviews","volume":"19 2","pages":"Article 103185"},"PeriodicalIF":4.3000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Diabetes & Metabolic Syndrome-Clinical Research & Reviews","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1871402125000025","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
引用次数: 0

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.
可能的肌肉减少症、肌肉减少型肥胖表型及其与糖尿病的关联:来自LASI wave-1的证据(2017-18)。
目的:评估45岁或以上社区居民中可能的肌肉减少症和肌肉减少型肥胖的患病率,并调查其与自我报告的糖尿病的关系。方法:根据亚洲肌肉减少症工作组(AWGS) 2019年指南,利用LASI波-1(2017-18)中62,899人的数据,根据两个关键参数:肌肉(握力)力量和身体表现(步态速度)对可能的肌肉减少症进行评估。BMI、WC、WHR和WHtR定义了肌肉减少型肥胖表型。二元logistic回归分析探讨了可能的肌肉减少症和肌肉减少型肥胖表型与自我报告的糖尿病之间的关系。结果:BMI定义的可能肌少症和肌少性肥胖患病率分别为44.4%和10.6%。可能患有肌肉减少症的个体自我报告患糖尿病的可能性高出1.18倍(p)结论:随着年龄的增长,肌肉减少症和肌肉减少型肥胖表型可能会增加患糖尿病的风险。因此,制定有针对性的预防和治疗策略来对抗老年人群中的肌肉减少症和糖尿病是势在必行的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
22.90
自引率
2.00%
发文量
248
审稿时长
51 days
期刊介绍: Diabetes and Metabolic Syndrome: Clinical Research and Reviews is the official journal of DiabetesIndia. It aims to provide a global platform for healthcare professionals, diabetes educators, and other stakeholders to submit their research on diabetes care. Types of Publications: Diabetes and Metabolic Syndrome: Clinical Research and Reviews publishes peer-reviewed original articles, reviews, short communications, case reports, letters to the Editor, and expert comments. Reviews and mini-reviews are particularly welcomed for areas within endocrinology undergoing rapid changes.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信