Resting energy expenditure in elite athletes: development of new predictive equations based on anthropometric variables and bioelectrical impedance analysis derived phase angle
Autor: | Olivia Di Vincenzo, Iolanda Cioffi, D. Morlino, R. Sammarco, Luca Scalfi, Maurizio Marra |
---|---|
Přispěvatelé: | Marra, Maurizio, Di Vincenzo, Olivia, Cioffi, Iolanda, Sammarco, Rosa, Morlino, Delia, Scalfi, Luca |
Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Adult
Male Adolescent Rest Population Regression Analysi Young Adult Athlete Predictive equation Retrospective Studie BIA Statistics Electric Impedance Humans Resting energy expenditure education Accuracy Retrospective Studies Mathematics Sport education.field_of_study Nutrition and Dietetics Models Statistical biology Anthropometry Athletes Phase angle Training level Regression analysis Calorimetry Indirect Predictive equations biology.organism_classification Regression Analysis Energy expenditure Energy Metabolism Bioelectrical impedance analysis Sports Research Article Food Science Human |
Zdroj: | Journal of the International Society of Sports Nutrition |
Popis: | Background An accurate estimation of athletes’ energy needs is crucial in diet planning to improve sport performance and to maintain an appropriate body composition. This study aimed to develop and validate in elite athletes new equations for estimating resting energy expenditure (REE) based on anthropometric parameters as well as bioimpedance analysis (BIA)-derived raw variables and to validate the accuracy of selected predictive equations. Methods Adult elite athletes aged 18–40 yrs were studied. Anthropometry, indirect calorimetry and BIA were performed in all subjects. The new predictive equations were generated using different regression models. The accuracy of the new equations was assessed at the group level (bias) and at the individual level (precision accuracy), and then compared with the one of five equations used in the general population or three athletes-specific formulas. Results One-hundred and twenty-six male athletes (age 26.9 ± 9.1 yrs; weight 71.3 ± 10.9 kg; BMI 22.8 ± 2.7 kg/m2) from different sport specialties were randomly assigned to the calibration (n = 75) or validation group (n = 51). REE was directly correlated with individual characteristics, except for age, and raw BIA variables. Most of the equations from the literature were reasonably accurate at the population level (bias within ±5%). The new equations showed a mean bias −0.3% (Eq. A based on anthropometric parameters) and −0.6% (Eq. B based on BIA-derived raw variables). Precision accuracy (individual predicted-measured differences within ±5%) was ~75% in six out of eight of the selected equations and even higher for Eq. A (82.4%) and Eq. B (92.2%). Conclusion In elite athletes, BIA-derived phase angle is a significant predictor of REE. The new equations have a very good prediction accuracy at both group and individual levels. The use of phase angle as predictor of REE requires further research with respect to different sport specialties, training programs and training level. |
Databáze: | OpenAIRE |
Externí odkaz: |