Open AccessAre predictive equations for estimating resting energy expenditure accurate in Asian Indian male weightlifters?
Author(s) -
Mary Joseph,
Rachna Gupta,
L. Prema,
Mercy Inbakumari,
Thomas Nicolaï
Publication year - 2017
Publication title -
indian journal of endocrinology and metabolism
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.456
H-Index - 28
eISSN - 2230-9500
pISSN - 2230-8210
DOI - 10.4103/ijem.ijem_563_16
Subject(s) - anthropometry , pearson product moment correlation coefficient , linear regression , lean body mass , intraclass correlation , resting energy expenditure , medicine , waist , mathematics , regression analysis , correlation coefficient , confidence interval , circumference , statistics , population , stepwise regression , coefficient of determination , demography , body mass index , body weight , reproducibility , geometry , environmental health , sociology
The accuracy of existing predictive equations to determine the resting energy expenditure (REE) of professional weightlifters remains scarcely studied. Our study aimed at assessing the REE of male Asian Indian weightlifters with indirect calorimetry and to compare the measured REE (mREE) with published equations. A new equation using potential anthropometric variables to predict REE was also evaluated.