ArticleJournal of diabetes and metabolic disorders2025
Association between skeletal muscle mass to visceral fat area ratio and insulin resistance in type 2 diabetes.
Article in Journal of diabetes and metabolic disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Article
- Association of handgrip strength and CT-derived body composition with insulin resistance in women with prediabetes and newly diagnosed type 2 diabetes.Archives of endocrinology and metabolism · 2026Article
- Development and validation of a multimodal interpretable machine learning model for the identification of osteoporosis in patients with type 2 diabetes mellitus: a multicenter retrospective study.Frontiers in endocrinology · 2026Article
- Quantitative CT Assessment of Skeletal Muscle and Abdominal Fat Distribution: Predictive Value for Type 2 Diabetes Mellitus.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025Article
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Authors and funding
8 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Objective: To investigate the correlation between skeletal muscle mass to visceral fat area ratio (SVR), neutrophil/lymphocyte ratio (NLR) and insulin resistance (IR) in patients with type 2 diabetes mellitus (T2DM). Methods: 246 T2DM patients who attended the outpatient clinics and wards of the Department of Endocrinology of the Seventh People's Hospital affiliated to Shanghai University of Traditional Chinese Medicine from June 2022 to March 2023 were selected as study subjects. General information of the study subjects was collected, body measurements were determined: height, weight, waist circumference, hip circumference, body mass index and waist-hip ratio (WHR) were calculated; biochemical indices were determined: NLR, fasting glucose (FPG), fasting insulin (FINS), and the homeostatic modeling was evaluated. Homeostatic Model Assessment of Insulin Resistance(HOMA-IR), and calculation of insulin sensitivity index (ISI). Skeletal muscle content (ASM), body fat mass(BMI), visceral fat area(VFA), and basal metabolism were determined by multifrequency bio resistive resistance method, and SVR were calculated. 82 cases in each group (50 males and 32 females) were divided into 3 groups according to the SVR level in three equal parts. Differences between groups were analyzed by one-way ANOVA. The correlation between NLR and SVR, HOMA-IR, ISI was analyzed using Pearson/Spearman correlation. Multiple linear regression analysis was used to analyze the relationship between SVR and IR. Results: Compared with the Q3 group, NLR, FINS, HOMA-IR were elevated in the Q1 and Q2 groups ( Conclusion: SVR is correlated with IR in T2DM patients, suggesting that SVR has some clinical value for early warning of IR in T2DM.
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