Premium
Resting metabolic rate of Indian Junior Soccer players: Testing agreement between measured versus selected predictive equations
Author(s) -
Cherian Keren Susan,
Shahkar Faaiza,
Sainoji Ashok,
Balakrishgalla,
Yagnambhatt Venkata Ramana
Publication year - 2017
Publication title -
american journal of human biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.559
H-Index - 81
eISSN - 1520-6300
pISSN - 1042-0533
DOI - 10.1002/ajhb.23066
Subject(s) - basal metabolic rate , athletes , demography , medicine , clinical nutrition , gerontology , body mass index , fat free mass , medical journal , fat mass , psychology , physical therapy , family medicine , sociology
Objectives Owing to a dearth of research related to Resting Metabolic Rate (RMR) among adolescent athletes in India, our study aimed to document RMR among junior soccer players (JSP) and to identify suitable RMR predictive models for JSP from nine existing equations. Methods Forty Indian JSP (Boys = 21, Girls = 19) representing the under‐12 and under‐16 age categories were assessed for body composition (skinfold technique) and RMR (oxycon mobile). Two‐way ANOVA and ANCOVA were used to examine the differences across age and sex. Bland‐Altman plot was used to test agreement between measured vs. predicted RMR using the equations of Cunningham ([Cunningham, J. J., 1980], The American Journal of Clinical Nutrition, 33), Soares et al. ([Soares, M. J., 1993], European Journal of Clinical Nutrition, 47; 1998, British Journal of Nutrition, 79), Henry ([Henry, C. J. K., 2005], Public Health Nutrition, 8), and Patil and Bharadwaj ([Patil, S. R., 2013], Journal of Postgraduate Medicine, 59) for non‐athletic populations and the equations of De Lorenzo et al. ([De Lorenzo, A., 1999], The Journal of Sports Medicine and Physical Fitness, 39), Wong et al. ([Wong, J. E., 2012], Singapore Medical Journal, 53), and ten Haaf & Weijs ([ten Haaf, T., 2014], PloS One, 9) for adult athletes. Results RMR showed significant ( P < .01) sex differences (Boys: 1343 ± 297.1; Girls: 1135 ± 116.7 kcal·day −1 ). While RMR values adjusted for fat‐free mass (FFM) were similar across age and sex. The equation of Soares et al. ([Soares, M. J., 1998], British Journal of Nutrition, 79) for girls and Wong et al. ([Wong, J. E., 2012], Singapore Medical Journal, 53) for boys showed better RMR predictability. Conclusions FFM explained variation in RMR across age and sex. The FFM‐based Soares et al. ([Soares, M. J., 1998], British Journal of Nutrition, 79) equation for girls and body weight‐based Wong et al. ([Wong, J. E., 2012], Singapore Medical Journal, 53) equation for boys are best suited for predicting RMR.