Evidence map›Paper›PMID 40140832›Full record

ArticleBMC musculoskeletal disorders2025

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

Guofang Sun, Jianjun Liang, Dechao Chen, Kongjun Zhao, Wangmi Liu

Abstract read
In one paragraph

Article in BMC musculoskeletal disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Guofang Sun *Department of Orthopaedics, Shengzhou Chinese Medicine Hospital, Shaoxing, 312400, China.
Jianjun Liang *Department of Orthopaedics, Daishan First People's Hospital, Zhoushan, 316200, China.
Dechao ChenDepartment of Orthopaedics, Daishan First People's Hospital, Zhoushan, 316200, China.
Kongjun ZhaoDepartment of Orthopaedics, Daishan First People's Hospital, Zhoushan, 316200, China.
Wangmi LiuDepartment of Orthopaedics, The Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310009, China. 2317030@zju.edu.cn.

Funding

Medical and Health Research Project of Zhejiang Province 2024XY089National Natural Science Foundation of China 82002837
6 · The paper itself

Abstract

backgroundThe 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.

methodsThe 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.

resultsIn 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).

conclusionsAdequate 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.

Indexed as

InsulinMuscle, SkeletalSarcopeniaAgedBiomarkersChinaCross-Sectional StudiesFemaleHumansLongitudinal StudiesMaleMiddle AgedNutrition SurveysPrevalenceBiomarkersInsulinCHNSMuscle massSarcopeniaSerum insulin level

Identifiers

PMID40140832
PMCPMC11938581

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.