ArticleBioResearch open access2015
Determination of Cutoff Values for DEXA-Based Body Composition Measurements for Determining Metabolic and Cardiovascular Health.
Article in BioResearch open access, 2015. 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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4 citing papers in PubMed, 10 citations in OpenAlex.
- Phase angle and triglyceride-glucose index as biomarkers of glycemic control, body composition and cardiovascular risk in adolescents with type 1 diabetes: a cross-sectional study.Journal of endocrinological investigation · 2026Article
- Identifying joint association between body fat distribution with high blood pressure among 7 ∼ 17 years using the BKMR model: findings from a cross-sectional study in China.BMC public health · 2025Article
- Cut-Off Points of Visceral Adipose Tissue Associated with Metabolic Syndrome in Military Men.Healthcare (Basel, Switzerland) · 2021Article
- Body composition, nutritional status, and endothelial function in physically active men without metabolic syndrome--a 25 year cohort study.Lipids in health and disease · 2016Article
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Authors and funding
6 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The two components of the body weight (i.e., fat mass and muscle mass) appeared to be of high interest to consider in predicting metabolic health related risks. We aimed to determine cutoff values for fat mass index (FMI) and muscle mass index (MMI), FM/MM, and BMI for metabolic and cardiovascular health. This study was a cross-sectional analysis study conducted in a center of preventive medicine. It included 616 consecutive outpatients: mean age was 56.0±10.0 years (74.6% aged ≥50), and 61.4% were female. Fat and muscle mass were obtained with dual energy X-ray absorptiometry scan analyses. Metabolically unhealthy individuals were defined as people with biological features of dyslipidemia, hyperuricemia, diabetes, and/or hepatitis steatosis. Documented hypertension and/or atherosclerosis of at least one major artery defined individuals with cardiovascular complications. Receiver-operating characteristic curve analysis revealed that the cutoff values for MMI, FMI, and FM/MM were respectively 18.8kg/m(2) (sensitivity [Se]=58%; specificity [Sp]=59%), 5.5kg/m(2) (Se=61%; Sp=62%), and 0.31 (Se=62%; Sp=62%) in men; and 14.1kg/m(2) (Se=52%; Sp=54%), 5.5kg/m(2) (Se=65%; Sp=67%), 0.39 (Se=73%; Sp=73%) in women for predicting metabolic health. Values were 19.3kg/m(2) (Se=58%; Sp=59%), 7.0kg/m(2) (Se=61%; Sp=62%) and 0.49 (Se=62%; Sp=62%) in men; and 15.7kg/m(2) (Se=58%; Sp=59%), 6.4kg/m(2) (Se=61%; Sp=62%) and 0.35 (Se=62%; Sp=62%) in women for cardiovascular complications. Whatever the outcomes considered, the Youden indexes for BMI values were systematically below 25 kg/m(2), except for cardiovascular complications in men, where the threshold for the best Se/Sp was 25.7 kg/m(2). These cutoff values for FMI, MMI, and FM/MM could be of practical value for the clinical evaluation of a deficit in MM with or without excess of FM. They complement the classical concept of BMI in a more qualitative manner and extend the analysis of its impact on health outcomes to all BMI categories.
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