Development of novel calibration model(s) to predict whole-body density in professional football players.
Autor: | Mills C; School of Sport and Exercise, University of Gloucestershire, Gloucester, UK., De Ste Croix M; School of Sport and Exercise, University of Gloucestershire, Gloucester, UK., James D; School of Sport and Exercise, University of Gloucestershire, Gloucester, UK., Cooper SM; Cardiff School of Sport and Health Sciences, Cardiff Metropolitan University, Cardiff, UK. |
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Jazyk: | angličtina |
Zdroj: | Science & medicine in football [Sci Med Footb] 2024 May; Vol. 8 (2), pp. 170-178. Date of Electronic Publication: 2023 Jan 17. |
DOI: | 10.1080/24733938.2023.2166680 |
Abstrakt: | Introduction: Questions continue to be raised about the validity that is in existence to estimate D Methods: Phase 1: n = 28 anthropometric variables were used on n = 206 footballers, using regression analyses to determine standard error of estimate and R 2 . A cut-off correlation coefficient set at r = 0.950 and 90% R 2 . 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, R 2 = 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 R 2 (6.6%) ( P ≤ 0.005), whereas the 'practical' calibration model SEM (0.115 g ml -1 ), R 2 (4.7%) ( P ≤ 0.005) with r values = 0.271 and 0.596 and R 2 (%) 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. |
Databáze: | MEDLINE |
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