心理学
作文(语言)
联想(心理学)
物理医学与康复
统计
作者
Renan Felipe Hartmann Nunes,Ewertton de Souza Bezerra,Lucas B. R. Orssatto,Yara M Moreno,Irineu Loturco,Rob Duffield,Diego Augusto Santos Silva,Luiz Guilherme Antonacci Guglielmo
出处
期刊:Journal of Sports Medicine and Physical Fitness
[Edizioni Minerva Medica]
日期:2020-05-01
卷期号:60 (5): 733-742
被引量:5
标识
DOI:10.23736/s0022-4707.20.10487-0
摘要
BACKGROUND This study investigated the comparability between air displacement plethysmography (ADP), dual-energy X-ray absorptiometry (DXA), and bioelectrical impedance analysis (BIA) methods for body composition assessment and their correlations with physical performance in rugby players. METHODS Nineteen male elite players participated in the study. ADP, DXA, and BIA were used to assess fat-mass and fat-free mass. Physical performance was assessed by means of Carminatti's test of peak velocity (PVTCAR), countermovement jump (CMJ), sprint speed (10 and 30-m), and match performance analyses (sprinting, distance covered, and high-intensity running). RESULTS BIA overestimated fat-mass (13±41%; r2=0.60) and underestimated fat-free mass (-1±7%; r2=0.66) compared to ADP (P=0.001). BIA underestimated fat-mass (-28±3%; r2=0.92) and overestimated fat-free mass (10±5%; r2=0.87) compared to DXA (P<0.001). ADP underestimated fat-mass (-36±37%; r2=0.69) and overestimated fat-free mass (11±8%; r2=0.52) compared to DXA (P<0.001). Fat-mass measured by ADP, DXA, and BIA negatively correlated with PVTCAR (r2≥0.49), height and peak power from CMJ (r2≥0.30), sprinting ability (r2≥0.65), and match performance variables (r2≥0.30). CONCLUSIONS As long as one considers that ADP and BIA underestimated fat-mass and overestimated fat-free mass compared to DXA, the methods can be used to estimate body composition, particularly to track body fat-mass changes, which negatively influence several physical capacities determinant to rugby performance. The limitations of the methods should be borne in mind when assessing the body composition of rugby athletes.
科研通智能强力驱动
Strongly Powered by AbleSci AI