ArticleLife (Basel, Switzerland)2025
Anthropometric Obesity Phenotypes in Young Physically Active Men: The Role of Body Composition and Fat Distribution.
Article in Life (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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Who cites it
4 citing papers in PubMed.
- Normal-Weight Obesity and Hidden Cardiometabolic Risk in Young Adults: Implications Beyond BMI-Based Classification.Medical sciences (Basel, Switzerland) · 2026Article
- Limited Association Between Body Mass Index and Selected Components of Physical Fitness in Higher Education Physical Education Students: A Sex- and Country-Specific Analysis.Sports (Basel, Switzerland) · 2026Article
- Predictive Effects of Waist Circumference-Related Anthropometric Measures on Body Mass Index in South African University Students.International journal of environmental research and public health · 2026Article
- Associations between body composition and physical performance in Chinese male adults: a cross-sectional study.Frontiers in public health · 2026Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBMI does not distinguish fat from lean mass, reducing its usefulness in active young adults. This study assessed obesity phenotypes and their associations with lean mass and adipose tissue distribution.
methodsA total of 174 male university students (mean age 20.88 ± 0.86 years) underwent anthropometric measurements, including BMI, waist circumference (WC), and waist-to-hip ratio (WHR), and body composition assessment using bioelectrical impedance analysis (BIA). Participants were classified into four phenotypes (MHNW, MHO, MUO, and NWO) based on BMI, body fat percentage (%BF), WC, and WHR. One-way ANOVA with Newman-Keuls post hoc tests was used to assess group differences. A multiple linear regression model was applied to determine the independent predictors of %BF.
resultsMHNW was the most prevalent phenotype (66.7%), followed by MHO (19.0%), MUO (8.0%), and NWO (6.9%). Significant differences were observed in body composition and fat distribution among phenotypes. BMI poorly reflected %BF. Multiple regression analysis identified WC and WHR as the strongest independent predictors of %BF, whereas BMI was not significant after adjustment. Higher lean body mass in MHNW and MHO was associated with more favorable fat distribution patterns.
conclusionsBMI alone is insufficient to assess metabolic risk in young, physically active adults. WC and WHR showed superior predictive value for body fatness and should complement BMI in metabolic risk evaluation. Including lean body mass and fat distribution measures improves the identification of individuals at risk of metabolic and cardiovascular disorders.
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