ArticlePloS one2018
Body shape indices are predictors for estimating fat-free mass in male athletes.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Changes in metabolic risk factors and gut microbiota during weight gain in male first-year college athletes.Physiological reports · 2026Article
- Impact of nutritional status on mortality in geriatric patients with osteoporosis: a retrospective cohort study.BMC geriatrics · 2025Article
- The Association Between Malnutrition, Sarcopenia, and Fracture Risk in Older Adults with Osteoporosis.Sisli Etfal Hastanesi tip bulteni · 2025Article
- Associations between 47 anthropometric markers derived from a body scanner and relative fat-free mass in a population-based study.BMC public health · 2024Article
- Prediction of fat-free mass from body surface area in young basketball players.BMC sports science, medicine & rehabilitation · 2024Article
- Article
- Development and Validation of Waist Girth-Based Equations to Evaluate Body Composition in Colombian Adults: Rationale and STROBE-Nut-Based Protocol of the F20 Project.International journal of environmental research and public health · 2022Observational
- Body composition and grip strength constraints in elite male rink-hockey players of contrasting ethnicity.PloS one · 2022Article
- Article
- Profile of regional fat and fat-free soft tissue accumulation in male athletes.Journal of physiological anthropology · 2020Article
- Muscle Mass in Children and Adolescents: Proposed Equations and Reference Values for Assessment.Frontiers in endocrinology · 2019Article
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
It is unknown whether body size and body shape parameters can be predictors for estimating whole body fat-free mass (FFM) in male athletes. This study aimed to investigate whether body size and shape variables can be predictors for FFM in male athletes. Using a whole-body dual-energy X-ray absorptiometry scanner, whole body fat mass (FM) and FFM were determined in 132 male athletes and 14 sedentary males. The sample was divided into two groups: validation (N = 98) and cross-validation (N = 48) groups. Body height (BH), body mass (BM), and waist circumference at immediately above the iliac crest (W) were measured. BM-to-W and W-to-BH ratios were calculated as indices of body shapes. Stepwise multiple regression analysis revealed that BM/W and W/BH were selected as explainable variables for predicting FFM. The equation developed in the validation group was FFM (kg) = 0.883 × BM/W (kg/m) + 43.674 × W/BH (cm/cm)- 41.480 [R2 = 0.900, SEE (%SEE) = 2.3 kg (3.8%)], which was validated in the cross-validation group. Thus, the current results demonstrate that an equation using BM/W and W/BH as independent variables is applicable for predicting FFM in male athletes.
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