ArticleInternational journal of environmental research and public health2021
Relative Lean Body Mass and Waist Circumference for the Identification of Metabolic Syndrome in the Korean General Population.
Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed, 9 citations in OpenAlex.
- Association of Body Mass Index-Adjusted Body Cell Mass and Lean Body Mass with Metabolic Syndrome and Insulin Resistance in Middle-Aged and Older Adults: A Cross-Sectional Study.Journal of obesity & metabolic syndrome · 2026Article
- Predictive value of anthropometric indices for incident of dyslipidemia: a large population-based study.Population health metrics · 2025Article
- Artificial Neural Networks to Predict Metabolic Syndrome without Invasive Methods in Adolescents.Journal of clinical medicine · 2024Article
- Body mass index and risk of all-cause mortality among elderly Chinese: An empirical cohort study based on CLHLS data.Preventive medicine reports · 2023Article
- Waist circumference mediates the association between rs1260326 in GCKR gene and the odds of lean NAFLD.Scientific reports · 2023Article
- Early prediction of body composition parameters on metabolically unhealthy in the Chinese population via advanced machine learning.Frontiers in endocrinology · 2023Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
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Abstract
Lean body mass (LBM) comprises organs and muscle, which are the primary determinants of energy expenditure and regulation of glucose and lipid metabolism. Excessive abdominal fat is associated with metabolic abnormality. Little is known about the relationship between metabolic abnormality and LBM and waist circumference (WC), especially in the Asian general population. The aim of this study was to clarify this relationship. We performed a cross-sectional study with 499,648 subjects who received health check-ups at 16 health promotion centers in 13 Korean cities between January 2018 and October 2019. The subjects were categorized into four groups: (a) High (H)-RLBM (relative lean body mass)/Normal (N)-WC, (b) High-RLBM/Abnormal (A)-WC, (c) Low (L)-RLBM/Normal-WC, and (d) Low-RLBM/Abnormal-WC. RLBM was calculated using fat mass data that were estimated via bioelectrical impedance analysis. L-RLBM/A-WC was significantly associated with metabolically unhealthy status (OR: 4.40, 95% CI: 4.326-4.475) compared to H-RLBM/N-WC. L-RLBM/N-WC (OR: 2.170, 95% CI: 2.122-2.218) and H-RLBM/A-WC (OR: 2.713, 95% CI: 2.659-2.769) were also significantly related to metabolic unhealthy status. The cut-offs of RLBM for predicting metabolic syndrome (MetS) were 74.9 in males and 66.4 in females (
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