Korean Journal of Community Nutrition

Original Articles

[English]
The Measurements of the Resting Metabolic Rate (RMR) and the Accuracy of RMR Predictive Equations for Korean Farmers: Hee Ryoung Son, Seo Eun Yeon, Jung Sook Choi, Eun Kyung Kim; Korean J Community Nutr 2014;19(6):568-580. Published online December 31, 2014; DOI: https://doi.org/10.5720/kjcn.2014.19.6.568

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.

Citations

Citations to this article as recorded by

Resting energy expenditure in Korean type 2 diabetes patients: comparison between measured and predicted values
Ji-Sook Park, Sung-Rae Cho, Jung-Eun Yim
Nutrition Research and Practice.2023; 17(3): 464. CrossRef
Comparison of Various Predictive Energy Equations for Female University Students With Measured Basal Metabolic Rate
Reci Meseri, Özge Küçükerdönmez, Rana Nagihan Akder
Topics in Clinical Nutrition.2022; 37(4): 314. CrossRef
Comparison of Predicted and Measured Resting Energy Expenditure in Overweight and Obese Korean Women
Ji-Sook Park, Jung-Eun Yim
Korean Journal of Community Nutrition.2018; 23(5): 424. CrossRef
Validity of predictive equations for resting energy expenditure in Korean non-obese adults
Didace Ndahimana, Yeon-Jung Choi, Jung-Hye Park, Mun-Jeong Ju, Eun-Kyung Kim
Nutrition Research and Practice.2018; 12(4): 283. CrossRef

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[English]
Accuracy of Predictive Equations for Resting Metabolic Rate in Korean College Students: Ga Hee Lee, Myung Hee Kim, Eun Kyung Kim; Korean J Community Nutr 2009;14(4):462-473. Published online August 31, 2009

Abstract PDF: The purpose of this study is to analyze the accuracy of predictive equations for resting metabolic rate (RMR) in Korean college students. Subjects were 60 healthy Korean college students (30 males, 30 females) aged 18-25 years. RMR was measured by indirect calorimetry. Predicted RMRs were calculated using the Harris-Benedict, Schofield (W)/(WH), FAO/ WHO/UNU(W)/(WH), Owen, Mifflin, Cunningham, Liu, IMNA and Henry (W)/(WH) equations. The accuracy of the equations was evaluated on basis of accurate prediction (the percentage of subjects whose RMR was predicted within90% to 110% of the RMR measured), mean difference, RMSPE, mean % difference, limits of agreement of Bland- Altman method between predicted and measured RMR. Measured RMR of male and female students were 1833.4 +/- 307.4 kcal/day and 1454.3 +/- 208.0 kcal/day, respectively. All predictive equations underestimated measured RMR. Of the predictive equations tested, the Harris-Benedict equation (mean difference: -80.4 kcal/day, RMSPE: 236 kcal/day, mean % difference: -3.1%) was the most accurate and precise, but accurate prediction of the equation was only 42%. Thus, this study suggests that the ethnicity-specific predictive equation from Korean people should be developed to improve the accuracy of predicted RMR for Koreans.

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