Evidence map›Paper›PMID 41928181›Full record

ArticleBMC endocrine disorders2026

The association between skeletal muscle-to-fat mass ratio and insulin resistance in obese children with low skeletal muscle mass.

Fangfang Song, Luyao Xie, Yang Niu, Yi Feng, Xiuhua Shen

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Article in BMC endocrine disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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5 authors.

Fangfang Song *Department of Clinical Nutrition, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Luyao Xie *JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong SAR, China.
Yang NiuDepartment of Clinical Nutrition, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yi FengDepartment of Clinical Nutrition, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xiuhua ShenDepartment of Clinical Nutrition, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. srachel@126.com.

Funding

National Natural Science Foundation of China 81773407
6 · The paper itself

Abstract

backgroundObesity with low skeletal muscle mass (OLM) is increasingly recognized as a high-risk phenotype in pediatric populations. The skeletal muscle-to-fat mass ratio (MFR) reflects muscle-fat imbalance, but its association with metabolic health in children and adolescents remains incompletely understood. This study examined the associations between MFR and metabolic indicators, with a focus on insulin resistance, in children and adolescents with OLM.

methodsThis cross-sectional study included 258 children and adolescents with obesity and low muscle mass. Body composition was assessed using bioelectrical impedance analysis. Skeletal muscle mass index (SMI) was calculated to define low skeletal muscle mass, and the muscle-to-fat mass ratio (MFR) was categorized into quartiles. Multivariable linear, quantile, and logistic regression models were used to examine the associations between MFR and metabolic parameters, adjusting for age and sex. Insulin resistance was assessed using the homeostasis model assessment of insulin resistance (HOMA-IR), with abnormal insulin resistance defined as HOMA-IR ≥ 3.0.

resultsAfter adjustment for age and sex, higher MFR was associated with lower levels of LDL cholesterol, fasting insulin, and HOMA-IR. Quantile regression analyses showed predominantly inverse associations between MFR and triglycerides, fasting glucose, and uric acid across multiple quantiles. Compared with participants in the lowest MFR quartile, the adjusted odds ratios for abnormal insulin resistance were 0.41 (95% CI, 0.18–0.92), 0.37 (95% CI, 0.15–0.89), and 0.08 (95% CI, 0.04–0.24) across increasing MFR quartiles (p for trend < 0.001).

conclusionsIn children and adolescents with OLM, a higher MFR was associated with lower insulin resistance and more favorable levels of selected metabolic indicators. These findings suggest the potential relevance of muscle–fat imbalance in pediatric obesity and highlight the need for further research into the role of skeletal muscle mass, alongside adiposity, in metabolic risk assessment. CLINICAL

trial registrationNot applicable.

Indexed as

Adipose TissueBody CompositionInsulin ResistanceMuscle, SkeletalPediatric ObesityAdolescentBody Mass IndexChildCross-Sectional StudiesFemaleFollow-Up StudiesHumansMalePrognosisHOMA-IRLow muscle massPediatric obesitySkeletal muscle-to-fat mass ratio

Identifiers

PMID41928181
PMCPMC13169554

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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.