ArticleFrontiers in psychology2023
The relationships between body mass index, reciprocal ponderal index, waist-to-height ratio, and fitness in young adult males.
Article in Frontiers in psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Article
- The association between adiposity indices and the odds of breast cancer based on findings from a case control study.Scientific reports · 2025Article
- Key body size/shape predictors of physical fitness in Saudi College-aged males: Role of the body roundness index.PloS one · 2025Article
- Physical fitness and body build parameters of children and adolescents participating in the physical activity promotion programme "Athletics for all!"Archives of public health = Archives belges de sante publique · 2024Article
- Anthropometric and mechanical factors determining sprint in young soccer players: a brief report.Frontiers in sports and active living · 2024Article
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Authors and funding
5 authors.
Funding
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Abstract
Background: Anthropometric measures such as the body mass index (BMI), reciprocal ponderal index (RPI), and waist-to-height ratio (WHR) have been proposed as predictors of physical fitness. This study aimed to identify the differences in explanatory capacity and fit of BMI, RPI, and WHR on physical fitness, which involves jumping, sprinting, change of direction, and aerobic capacity, by adjusting the polynomial regression. Methods: A sample of 297 healthy, recreationally active male university students between 18 and 20 years old was recruited for this study. Anthropometric measurements (height: 174.09 ± 6.27 cm, weight: 78.98 ± 20.27 kg, waist circumference: 93.74 ± 14.56 cm) were taken for each participant. Jumping tests (squat jump, countermovement jump), sprinting tests (20 m sprint), agility tests (agility T-test), and aerobic/endurance tests (6 min walk test, VAM-EVAL test) were performed. Nonlinear quadratic regression models were used to assess the relationship between the jump, sprint, and fitness test scores and the anthropometric indices. The models were compared based on R-squares and Bayesian Information Criterion (BIC). The significance level was set at Results: The results showed that all the indices predicted a portion of the variance because all variables and index relationships were significant. Regarding the fitted models, the Bayesian Information Criterion showed that BMI was the best indicator of performance, although the RPI was better for VO Conclusion: These findings may be of great interest to practitioners because it appears that anthropometric measures can be used to predict physical fitness in certain tests although the accuracy raises any concerns.
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