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Development of novel calibration model(s) to predict whole-body density in professional football players.
- Source :
- Science & Medicine in Football; May2024, Vol. 8 Issue 2, p170-178, 9p
- Publication Year :
- 2024
-
Abstract
- Questions continue to be raised about the validity that is in existence to estimate D<subscript>b</subscript>, in professional male footballer players. Phase 1: n = 28 anthropometric variables were used on n = 206 footballers, using regression analyses to determine standard error of estimate and R<superscript>2</superscript>. A cut-off correlation coefficient set at r = 0.950 and 90% R<superscript>2</superscript>. Phase 2: all variables (z-scores, $$\bar x$$ x ˉ = 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<superscript>2</superscript> = 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. The 'best fit' model SEM (0.115 g ml<superscript>−1</superscript>), the highest R<superscript>2</superscript> (6.6%) (P ≤ 0.005), whereas the 'practical' calibration model SEM (0.115 g ml<superscript>−1</superscript>), R<superscript>2</superscript> (4.7%) (P ≤ 0.005) with r values = 0.271 and 0.596 and R<superscript>2</superscript> (%) coefficients = 0.3526 for the 'best fit' and 'practical' calibration models, respectively (P = 0.01). The two calibration models supported an ecologically and statistically valid contribution and can provide sound judgements about professional footballers' body composition. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 24734446
- Volume :
- 8
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- Science & Medicine in Football
- Publication Type :
- Academic Journal
- Accession number :
- 176533283
- Full Text :
- https://doi.org/10.1080/24733938.2023.2166680