期刊
JOURNAL OF SPORTS SCIENCES
卷 38, 期 11-12, 页码 1326-1334出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/02640414.2020.1717286
关键词
RMR; DXA; fat-free mass; youth soccer
For the first time we aimed to: (1) assess fat-free mass (FFM) and RMR in youth soccer players, (2) compare measured RMR to estimated RMR using previously published prediction equations, and (3) develop a novel population-specific prediction equation. In a cross-sectional design, 99 males from a Premier League academy underwent assessments of body composition (DXA) and RMR (indirect-calorimetry). Measured RMR was compared to estimated values from five prediction equations. A novel RMR prediction equation was developed using stepwise multiple regression. FFM increased (P<0.05) between U12 (31.6 +/- 4.2 kg) and U16 (56.3 +/- 5.3 kg) after which no further increases occurred (P>0.05). RMR in the U12s (1655 +/- 195 kcal.day(-1)), U13s (1720 +/- 205 kcal.day(-1)) and U14s (1846 +/- 218kcal.day(-1)) was significantly lower than the U15s (1957 +/- 128 kcal.day(-1)), U16s (2042 +/- 155 kcal.day(-1)), U18s (1875 +/- 180 kcal.day(-1)) and U23s (1941 +/- 197 kcal.day(-1)) squads (P>0.05). FFM was the single best predictor of RMR (r(2)=0.43; P<0.01) and was subsequently included in the novel prediction equation: RMR (kcal.day(-1)) = 1315 + (11.1 x FFM in kg). Both FFM and RMR increase from 12-16 years old, thus highlighting the requirement to adjust daily energy intake to support growth and maturation. The novel prediction RMR equation developed may help to inform daily energy requirements.
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