The Measurements of the Resting Metabolic Rate (RMR) and the Accuracy of RMR Predictive Equations for Korean Farmers.
10.5720/kjcn.2014.19.6.568
- Author:
Hee Ryoung SON
1
;
Seo Eun YEON
;
Jung Sook CHOI
;
Eun Kyung KIM
Author Information
1. Department of Food and Nutrition, Gangneung-Wonju National University, Gangwon, Korea. ekkim@gwnu.ac.kr
- Publication Type:Original Article
- Keywords:
resting metabolic rate;
farmers;
predictive equations;
accuracy;
indirect calorimetry
- MeSH:
Bias (Epidemiology);
Body Weight;
Calorimetry, Indirect;
Fasting;
Female;
Hip;
Humans;
Male
- From:Korean Journal of Community Nutrition
2014;19(6):568-580
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
OBJECTIVES: The purpose of this study was to measure the resting metabolic rate (RMR) and to assess the accuracy of RMR predictive equations for Korean farmers. METHODS: Subjects were 161 healthy Korean farmers (50 males, 111 females) in Gangwon-area. The RMR was measured by indirect calorimetry for 20 minutes following a 12-hour overnight fasting. Selected predictive equations were Harris-Benedict, Mifflin, Liu, KDRI, Cunningham (1980, 1991), Owen-W, F, FAO/WHO/UNU-W, WH, Schofield-W, WH, Henry-W, WH. The accuracy of the equations was evaluated on the basis of bias, RMSPE, accurate prediction and Bland-Altman plot. Further, new RMR predictive equations for the subjects were developed by multiple regression analysis using the variables highly related to RMR. RESULTS: The mean of the measured RMR was 1703 kcal/day in males and 1343 kcal/day in females. The Cunningham (1980) equation was the closest to measured RMR than others in males and in females (males Bias -0.47%, RMSPE 110 kcal/day, accurate prediction 80%, females Bias 1.4%, RMSPE 63 kcal/day, accurate prediction 81%). Body weight, BMI, circumferences of waist and hip, fat mass and FFM were significantly correlated with measured RMR. Thus, derived prediction equation as follow: males RMR = 447.5 + 17.4.Wt, females RMR = 684.5 - 3.5.Ht + 11.8.Wt + 12.4.FFM. CONCLUSIONS: This study showed that Cunningham (1980) equation was the most accurate to predict RMR of the subjects. Thus, Cunningham (1980) equation could be used to predict RMR of Korean farmers studied in this study. Future studies including larger subjects should be carried out to develop RMR predictive equations for Korean farmers.
