Association between serum insulin level and low muscle mass in older individuals: evidence from the China Health and Nutrition Survey.

IF 2.4 3区 医学 Q2 ORTHOPEDICS BMC Musculoskeletal Disorders Pub Date : 2025-03-26 DOI:10.1186/s12891-025-08542-x
Guofang Sun, Jianjun Liang, Dechao Chen, Kongjun Zhao, Wangmi Liu
{"title":"Association between serum insulin level and low muscle mass in older individuals: evidence from the China Health and Nutrition Survey.","authors":"Guofang Sun, Jianjun Liang, Dechao Chen, Kongjun Zhao, Wangmi Liu","doi":"10.1186/s12891-025-08542-x","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The link between serum insulin level and low muscle mass among older adults is not yet fully understood. This study seeks to investigate this association using data from a nationally representative large-scale survey.</p><p><strong>Methods: </strong>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 Sarcopenia 2019 criteria. The study employed ordinary least squares (OLS) regression models to analyze the cross-sectional association between appendicular skeletal muscle mass (ASM) and serum insulin level. Additionally, based on the median insulin level in the population without low muscle mass in 2009, these individuals were divided into high insulin and low insulin groups. Logistic regression models were utilized to examine the longitudinal association between low muscle mass and serum insulin level.</p><p><strong>Results: </strong>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 low muscle mass in the study population was 30.83%, with females accounting for 60.03%. In the adjusted OLS regression model based on blood biomarker, serum insulin level was positively associated with ASM (β = 0.075, 95% confidence interval (95% CI): 0.034-0.117, P < 0.01). A total of 944 individuals from the 2009 population without low muscle mass were divided into high insulin and low insulin groups based on the median insulin level, and were followed up until 2015. It was found that there was a significant difference in the incidence of low muscle mass between the two groups. (12.44% vs. 7.45%, P = 0.01). The adjusted logistic regression models indicated that higher serum insulin levels were associated with a reduced incidence of low muscle mass (Hazard ratio = 0.958, 95% CI: 0.925-0.989, P = 0.01).</p><p><strong>Conclusions: </strong>Adequate serum insulin level could potentially serve as a protective factor in preserving healthy muscle mass among Chinese adults aged 60 and above.</p><p><strong>Clinical trial number: </strong>Not applicable.</p>","PeriodicalId":9189,"journal":{"name":"BMC Musculoskeletal Disorders","volume":"26 1","pages":"300"},"PeriodicalIF":2.4000,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11938581/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Musculoskeletal Disorders","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12891-025-08542-x","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ORTHOPEDICS","Score":null,"Total":0}
引用次数: 0

Abstract

Background: The link between serum insulin level and low muscle mass among older adults 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 Sarcopenia 2019 criteria. The study employed ordinary least squares (OLS) regression models to analyze the cross-sectional association between appendicular skeletal muscle mass (ASM) and serum insulin level. Additionally, based on the median insulin level in the population without low muscle mass in 2009, these individuals were divided into high insulin and low insulin groups. Logistic regression models were utilized to examine the longitudinal association between low muscle mass and serum insulin level.

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 low muscle mass in the study population was 30.83%, with females accounting for 60.03%. In the adjusted OLS regression model based on blood biomarker, serum insulin level was positively associated with ASM (β = 0.075, 95% confidence interval (95% CI): 0.034-0.117, P < 0.01). A total of 944 individuals from the 2009 population without low muscle mass were divided into high insulin and low insulin groups based on the median insulin level, and were followed up until 2015. It was found that there was a significant difference in the incidence of low muscle mass between the two groups. (12.44% vs. 7.45%, P = 0.01). The adjusted logistic regression models indicated that higher serum insulin levels were associated with a reduced incidence of low muscle mass (Hazard ratio = 0.958, 95% CI: 0.925-0.989, P = 0.01).

Conclusions: Adequate serum insulin level could potentially serve as a protective factor in preserving healthy muscle mass among Chinese adults aged 60 and above.

Clinical trial number: Not applicable.

Abstract Image

Abstract Image

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
血清胰岛素水平与老年人低肌肉质量之间的关系:来自中国健康与营养调查的证据
背景:老年人血清胰岛素水平与低肌肉质量之间的关系尚不完全清楚。本研究试图利用一项具有全国代表性的大规模调查的数据来调查这种联系。方法:利用2009年和2015年两次中国健康与营养调查(CHNS)的数据。符合纳入标准的受试者按照亚洲肌肉减少症工作组2019标准进行分类。本研究采用普通最小二乘(OLS)回归模型分析阑尾骨骼肌质量(ASM)与血清胰岛素水平的横断面相关性。此外,根据2009年非低肌肉量人群中胰岛素水平的中位数,将这些人分为高胰岛素组和低胰岛素组。采用Logistic回归模型检验低肌肉量与血清胰岛素水平之间的纵向关联。结果:2009年,一项横断面关联研究共纳入了2329名60岁以上的参与者,其中女性占53.1%,中位年龄为68.00岁。研究人群中低肌肉质量的患病率为30.83%,其中女性占60.03%。在基于血液生物标志物的调整后OLS回归模型中,血清胰岛素水平与ASM呈正相关(β = 0.075, 95%可信区间(95% CI): 0.034-0.117, P)结论:血清胰岛素水平可能是中国60岁及以上成年人保持健康肌肉质量的保护因素。临床试验号:不适用。
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 去求助
来源期刊
BMC Musculoskeletal Disorders
BMC Musculoskeletal Disorders 医学-风湿病学
CiteScore
3.80
自引率
8.70%
发文量
1017
审稿时长
3-6 weeks
期刊介绍: BMC Musculoskeletal Disorders is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of musculoskeletal disorders, as well as related molecular genetics, pathophysiology, and epidemiology. The scope of the Journal covers research into rheumatic diseases where the primary focus relates specifically to a component(s) of the musculoskeletal system.
期刊最新文献
Immediate radiographic reduction loss but preserved clinical outcomes after hardware removal in lateral clavicle fractures treated with plate fixation and coracoclavicular augmentation. BMI-stratified performance of native CT hounsfield units in the proximal femur for osteoporosis detection and fracture association. Pathological features of the lateral joint capsule and lateral retinaculum in lateral patellar compression syndrome: a retrospective case-control study. The predictive effect of Kellgren-Lawrence grade and joint space height on pain and functional outcome. Evaluation of ChatGPT-5 responses to patient-centered questions on stromal vascular fraction for knee osteoarthritis: fair to good quality and content.
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1