Development of novel calibration model(s) to predict whole-body density in professional football players

Mills, Claire D ORCID: 0000-0003-4156-4593, De Ste Croix, Mark B ORCID: 0000-0001-9911-4355, James, David V ORCID: 0000-0002-0805-7453 and Cooper, Stephen-Mark (2023) Development of novel calibration model(s) to predict whole-body density in professional football players. Science and Medicine in Football. doi:10.1080/24733938.2023.2166680 (In Press)

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12265 Mills, De Ste Croix, James, Cooper (2023) Development of novel calibration model(s) to predict whole-body density in professional football players.pdf - Accepted Version
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Abstract

Introduction: Questions continue to be raised about the validity that is in existence to estimate Db, in professional male footballer players. Methods: Phase 1: n = 28 anthropometric variables were used on n = 206 footballers, using regression analyses to determine standard error of estimate and R2. A cut-off correlation coefficient set at r = 0.950 and 90% R2. Phase 2: all variables (z-scores, x¯ = 0.0, SD = ±1.0) to help reduce heteroscedasticity, β, r, t, significance of t and P-values were calculated. Phase 3: a forced stepwise–backwards regression analysis approach with nine predictors which met the acceptance criteria (r = 0.950, R2 = 90% and β weights) was used to develop a ‘best fit’ and a ‘practical’ calibration model. Phase 4: cross-validation of the two newly developed calibration method using LoA. Results: The ‘best fit’ model SEM (0.115 g ml−1), the highest R2 (6.6%) (P  ≤ 0.005), whereas the ‘practical’ calibration model SEM (0.115 g ml−1), R2 (4.7%) (P  ≤ 0.005) with r values = 0.271 and 0.596 and R2 (%) coefficients = 0.3526 for the ‘best fit’ and ‘practical’ calibration models, respectively (P = 0.01). Conclusions: The two calibration models supported an ecologically and statistically valid contribution and can provide sound judgements about professional footballers’ body composition.

Item Type: Article
Article Type: Article
Uncontrolled Keywords: Anthropometry; Calibration models; Whole-body density; Professional football players; Cross-validation
Subjects: G Geography. Anthropology. Recreation > GV Recreation Leisure > GV557 Sports
G Geography. Anthropology. Recreation > GV Recreation Leisure > GV557 Sports > GV861 Ball games: Baseball, football, golf, etc.
Divisions: Schools and Research Institutes > School of Education and Science
Research Priority Areas: Health, Life Sciences, Sport and Wellbeing
Depositing User: Anna Kerr
Date Deposited: 19 Jan 2023 09:49
Last Modified: 17 Jan 2024 04:15
URI: https://eprints.glos.ac.uk/id/eprint/12265

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