Korean J Community Nutr.  2014 Dec;19(6):568-580. 10.5720/kjcn.2014.19.6.568.

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

• Son HR
• Yeon SE
• Choi JS
• Kim EK

• KMID: 2268225
• DOI: http://doi.org/10.5720/kjcn.2014.19.6.568

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.

Keyword

resting metabolic rate; farmers; predictive equations; accuracy; indirect calorimetry

MeSH Terms

Bias (Epidemiology)
Body Weight
Calorimetry, Indirect
Fasting
Female
Hip
Humans
Male

Figure

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  Fig. 1 Bland-Altman plots for measured RMR and predicted RMR derived from 5 selected equations (WHO_W, WHO_WH, Scho_W, Scho_WH, Cunningham_80) for male subjects

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  Fig. 2 Bland-Altman plots for measured RMR and predicted RMR derived from 5 selected equations (WHO_W, WHO_WH, Scho_W, Scho_WH, Cunningham_80) for female subjects

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