A validated disease specific prediction equation for resting metabolic rate in underweight patients with COPD
Author(s) -
Slinde
Publication year - 2010
Publication title -
international journal of copd
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 67
eISSN - 1178-2005
pISSN - 1176-9106
DOI - 10.2147/copd.s12544
Subject(s) - bioelectrical impedance analysis , underweight , medicine , basal metabolic rate , copd , body mass index , anthropometry , malnutrition , univariate analysis , resting energy expenditure , physical therapy , overweight , body weight , multivariate analysis
Malnutrition is a serious condition in chronic obstructive pulmonary disease (COPD). Successful dietary intervention calls for calculations of resting metabolic rate (RMR). One disease-specific prediction equation for RMR exists based on mainly male patients. To construct a disease-specific equation for RMR based on measurements in underweight or weight-losing women and men with COPD, RMR was measured by indirect calorimetry in 30 women and 11 men with a diagnosis of COPD and body mass index <21 kg/m(2). The following variables, possibly influencing RMR were measured: length, weight, middle upper arm circumference, triceps skinfold, body composition by dual energy x-ray absorptiometry and bioelectrical impedance, lung function, and markers of inflammation. Relations between RMR and measured variables were studied using univariate analysis according to Pearson. Gender and variables that were associated with RMR with a P value <0.15 were included in a forward multiple regression analysis. The best-fit multiple regression equation included only fat-free mass (FFM): RMR (kJ/day) = 1856 + 76.0 FFM (kg). To conclude, FFM is the dominating factor influencing RMR. The developed equation can be used for prediction of RMR in underweight COPD patients.
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