ArticleHeliyon2023
New regression models to predict fat mass in intermediate-level male padel players.
Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Anthropometric-based predictive equations developed with multi-component models for estimating body composition in athletes.European journal of applied physiology · 2025Pooled it
- High-standard predictive equations for estimating body composition using bioelectrical impedance analysis: a systematic review.Journal of translational medicine · 2024Pooled it
- Exploratory approach to speculate on body composition models for elite teenage basketball players.Scientific reports · 2025Article
- ISAK-Based Anthropometric Standards for Elite Male and Female Soccer Players.Sports (Basel, Switzerland) · 2024Article
Corrections and comments
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: Padel is a racquet team sport that has generated great interest in recent years, but the anthropometric and body composition characteristics of padel players have not widely been investigated. So, this study has a threefold aim: i) to draw two specific linear regression models to estimate fat mass from Dual X-ray Absorptiometry (DXA) to anthropometry or bioelectrical impedance analysis (BIA); ii) to provide a BIA-vector (BIVA) profile of intermediate level padel players; iii) to understand if anthropometric, body composition and handgrip strength differ among padel's roles. Methods: Participants were 15 padel players (26.66 ± 11.84 years, 71.6 ± 12.51 kg, 173.13 ± 7.63 cm) who competed in the same championship. DXA, anthropometry, BIA and vector analysis were assessed. The stepwise procedure for the best general linear model was performed. The one-way ANOVA was used to compare right and left-side players. The Bland-Altman method, concordance correlation and Pearson's correlation coefficients, and statistical power achieved were computed. Results: The regression models achieved high goodness of fits in fat mass estimation (anthropometric adj. Conclusion: This study provided novel and useful information on players' body profiles for coaches and trainers. Also, our resulting equations provide easy-to-assess field methods in the accurate estimation of players' body composition characteristics.
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