ArticleFrontiers in public health2022
Body fat and muscle were associated with metabolically unhealthy phenotypes in normal weight and overweight/obesity in Yi people: A cross-sectional study in Southwest China.
Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 5 citations in OpenAlex.
- Clinical obesity in Asian people: bridging the gap between adiposity and disease.Nature reviews. Endocrinology · 2026Review
- Subcutaneous adipose tissue outperforms muscle strength as an indicator of survival and quality of life in patients with cancer: a multicenter cohort study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Observational
- Muscle Mass Moderates Metabolic Syndrome Risk Associated with Adiposity: A SHAP-Based Machine Learning Study.Nutrients · 2026Article
- Article
- Overview of research and practice progress in body composition measurement techniques.Frontiers in medical technology · 2026Review
- Regional adipose distribution and metabolically unhealthy phenotype in Chinese adults: evidence from China National Health Survey.Environmental health and preventive medicine · 2025Article
- Effect ofPreventive medicine reports · 2024Article
- Body Composition Indicators Jointly Predict Metabolic Unhealthy Phenotypes in Young and Middle-Aged Obese Individuals: A Cross-Sectional Quantitative Computed Tomography Study.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024Article
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8 authors at 3 institutions in 1 country.
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Abstract
This study aimed to determine the association between the absolute mass, distribution, and relative ratio of body fat and muscle with the metabolically unhealthy (MU) phenotypes in normal weight and overweight/obesity in Yi people in China. The cross-sectional data from the Yi Migrants Study was used, which included 3,053 Yi people aged 20-80 years from the rural and urban sets. Participants were classified according to body mass index and metabolic status. Body composition including body fat percentage (BFP), fat mass index (FMI), visceral fat grade (VFG), muscle mass index (MMI), and muscle/fat ratio (M/F) were measured by bioelectrical impedance analysis. Restricted cubic spline and logistics regression models were used to test the associations between body composition parameters with MU phenotypes. Receiver-operating characteristic curves (ROC) were used to analyze the predictive value of MU phenotypes. Among the normal weight and overweight/obesity, 26.31% (497/1,889) and 52.15% (607/1,164) were metabolically unhealthy. Stratified by BMI, covariance analysis showed higher body fat (BFP, FMI, and VFG) and MMI in MU participants than in healthy participants. BFP, FMI, VFG, and MMI were positively associated with MU phenotypes both in normal weight and overweight/obesity after adjustment. M/F was significantly lower than MU participants and was negatively associated with MU phenotypes. BFP, FMI, VFG, and M/F could better predict MU phenotypes than BMI. We concluded that BFP, FMI, and VFG were positively associated with MU phenotypes, while M/F was negatively associated with MU phenotypes across the BMI categories in Yi people. Body fat and muscle measurement could be a valuable approach for obesity management.
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