Korean Journal of Community Nutrition (대한지역사회영양학회지)

The Korean Society of Community Nutrition (대한지역사회영양학회)
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The Measurements of the Resting Metabolic Rate (RMR) and the Accuracy of RMR Predictive Equations for Korean Farmers

농업인의 휴식대사량 측정 및 휴식대사량 예측공식의 정확도 평가

  • Son, Hee-Ryoung (Department of Food and Nutrition, Gangneung-Wonju National University) ;
  • Yeon, Seo-Eun (Department of Food and Nutrition, Gangneung-Wonju National University) ;
  • Choi, Jung-Sook (National Academy of Agricultural Science, Rural Development Administration) ;
  • Kim, Eun-Kyung (Department of Food and Nutrition, Gangneung-Wonju National University)
  • 손희령 (강릉원주대학교 식품영양학과) ;
  • 연서은 (강릉원주대학교 식품영양학과) ;
  • 최정숙 (농촌진흥청 국립농업과학원) ;
  • 김은경 (강릉원주대학교 식품영양학과)
  • Received : 2014.08.06
  • Accepted : 2014.12.05
  • Published : 2014.12.30
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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.

Keywords

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