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Sainoji, Ashok
- Resting Metabolic Rate of Junior National Weightlifters in India:Development and Validation of Prediction Models
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Authors
Keren Susan Cherian
1,
Ashok Sainoji
1,
Prem Raj Dundigalla
1,
Balakrishna Nagalla
2,
Venkata Ramana Yagnambhatt
1
Affiliations
1 Department of Work Physiology and Sports Nutrition, Indian Council of Medical Research, Ministry of Health and Family Welfare, Government of India, Jamai-Osmania, Hyderabad, Telangana-500 007, IN
2 Biostatistics Division, National Institute of Nutrition, Indian Council of Medical Research, Ministry of Health and Family Welfare, Government of India, Jamai-Osmania, Hyderabad, Telangana-500 007, IN
1 Department of Work Physiology and Sports Nutrition, Indian Council of Medical Research, Ministry of Health and Family Welfare, Government of India, Jamai-Osmania, Hyderabad, Telangana-500 007, IN
2 Biostatistics Division, National Institute of Nutrition, Indian Council of Medical Research, Ministry of Health and Family Welfare, Government of India, Jamai-Osmania, Hyderabad, Telangana-500 007, IN
Source
The Indian Journal of Nutrition and Dietetics, Vol 55, No 3 (2018), Pagination: 278-290Abstract
Weightlifters involve in intense strength and resistance training, thus calorie adequacy is a nutritional concern for them. Determining Resting Metabolic rate (RMR) is important to assess energy needs and there is limited scientific evidence in this area. Thus, this study aims to document physical characteristics and RMR of Indian junior weightlifters. It also attempts to identify suitable RMR prediction equations by developing new equations and comparing measured with predicted RMR from seven equations already existing world-wide. In this cross-sectional observation study, twenty one Indian junior weightlifters (Boys = 9; Girls = 12) were assessed for body composition (skinfold technique) and RMR using indirect calorimetry. Regression models for RMR were developed and measured RMR was compared with predicted RMR using paired samples t-test. The 24-hour RMR showed significant (P<0.01) gender differences (Boys = 1675 ± 111.7; Girls = 1425 ± 93.4), whereas, RMR per unit fat-free mass and body mass were similar across gender. The simple equation developed using body mass (RMR = 1206 + 13 × Body Mass (Kg) – 227.7 × Gender; R2 = 0.872; SEE = 60.604) showed good agreement with measured RMR. Out of seven existing RMR models, the equation of ten Haaf and Weijs (2014) showed better predictability. In conclusion, fat-free mass caused a major variation in RMR. Considering the limited scientific evidence, prediction equations newly developed and RMR equation of ten Haaf and Weijs (2014) can be used for periodical monitoring of RMR.Keywords
Basal Metabolic Rate, Energy Expenditure, Body Composition, Indirect Calorimetry, Strength Athletes.
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