Association between insulin and sarcopenia in elderly Chinese individuals: a cross-sectional and longitudinal study

Author:

Sun Guofang1,Liang Jianjun2,Chen Dechao2,Zhao Kongjun2,Liu Wangmi3

Affiliation:

1. Shengzhou Hospital of Traditional Chinese Medicine

2. Daishan First People's Hospital

3. Zhejiang University

Abstract

Abstract

Background:The link between insulin and sarcopenia among older adults in China is not yet fully understood. This study seeks to investigate this association using data from a nationally representative large-scale survey. Methods: The study utilized data from two waves of the China Health and Nutrition Survey (CHNS) conducted in 2009 and 2015. Subjects meeting the inclusion criteria were classified according to the Asia Working Group for Sarcopenia2019 criteria. The study employed ordinary least squares (OLS) regression models to analyze the cross-sectional association between muscle mass and insulin. Additionally, logistic regression models were utilized to examine the longitudinal association between sarcopenia and insulin. Results: In 2009, a cross-sectional association study enrolled a total of 2329 participants aged over 60 years, with 53.1% women and a median age of 68.00 years. The prevalence of sarcopenia in the study population was 30.83%, with a higher prevalence in females (60.03%). In the adjusted OLS regression model based on blood biomarker, insulin was positively associated with muscle mass (β=0.075, 95% confidence interval (CI): 0.034 - 0.117, P <0.01). In 2009, individuals without sarcopenia were divided into two groups based on the median value of insulin in the total population. When 944 individuals were followed up in 2015 to assess the incidence of sarcopenia, a significant difference was found between the two groups (12.44% vs 7.45%, P=0.01). The adjusted logistic regression models indicated that higher insulin levels were associated with a reduced incidence of sarcopenia (Hazard ratio =0.958, 95% CI: 0.925 - 0.989, P=0.01). Conclusions: Adequate insulin could potentially serve as a protective factor in preserving healthy muscle mass among Chinese adults aged 60 and above.

Publisher

Springer Science and Business Media LLC

Reference38 articles.

1. The path to healthy ageing in China: a Peking University-Lancet Commission;Chen X;Lancet,2022

2. A research agenda for aging in China in the 21st century;Fang EF;Ageing Res Rev,2015

3. Population Aging and Its Impact on Human Wellbeing in China;Wang MY;Front Public Health,2022

4. Sarcopenia: An Overview on Current Definitions, Diagnosis and Treatment;Landi F;Curr Protein Pept Sci,2018

5. Cruz-Jentoft AJ, Sayer AA. Sarcopenia. Lancet 2019, 393(10191):2636–2646.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3