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]
Relationships among Serum Adiponectin, Leptin and Vitamin D Concentrations and the Metabolic Syndrome in Farmers: Seo Eun Yeon, Hee Ryoung Son, Jung Sook Choi, Eun Kyung Kim; Korean J Community Nutr 2014;19(1):12-26. Published online February 28, 2014; DOI: https://doi.org/10.5720/kjcn.2014.19.1.12

Abstract PDF PubReader

The purpose of this study was to investigate the relationships among serum adiponectin, leptin and vitamin D concentrations and the metabolic syndrome in Korean farmers. 105 (26 males, 79 females) farmers (39~78 years, mean age 59.4 +/- 9.6 years) in Gangwon - area were included in this study. Anthropometric measurements and biochemical blood analysis of subjects were carried out. The prevalence of obesity, abdominal obesity, hypertension, diabetes, hypertriglyceridemia, hypercholesterolemia and hyper LDL-cholesterolemia, metabolic syndrome were 51.9%, 65.7%, 49.5%, 15.3%, 17.3%, 13.5%, 11.5% and 40.9%, respectively. Serum adiponectin and leptin levels (8.90 microg/ml and 12.6 ng/ml) of females were significantly higher than those (6.49 microg/ml and 4.88 ng/ml) of males. But there was no significant difference in 25(OH)vitamin D concentration between males (15.4 ng/ml) and females (16.9 ng/ml). In the subjects with metabolic syndrome, the adiponectin levels were significantly lower and leptin levels were significantly higher than those of the subjects without metabolic syndrome. Serum adiponectin level had positive correlations with HDL-cholesterol level (r = 0.325, p < 0.001), but showed negative correlations with triglyceride and fasting blood glucose concentrations, body weight and waist/hip circumference ratio (r = -0.202 ~ -0.317, p < 0.05). Serum leptin and 25(OH)vitamin D concentrations were positively correlated with body fat (kg, %) and BMI, waist and hip circumferences (r = 0.244 ~ 0.682, p < 0.001). The results of this study suggested that adiponectin and leptin levels could be credible indices to predict chronic diseases in farmers. However, further research on vitamin D should be carried out considering another factors.

Citations

Citations to this article as recorded by

Association of Serum Adiponectin Biomarker with Metabolic Syndrome Components in Koreans with Extremely High HDL Cholesterol Levels in General Health Checkup
Hyun Suk Yang, Gun-Hyuk Lee, Donghwan Kim, Kyeong Ryong Lee, Mina Hur
Metabolites.2022; 12(11): 1086. CrossRef
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 Journal of Community Nutrition.2014; 19(6): 568. CrossRef

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[English]
Assessment of Energy Intake and Physical Activity Level for Korean Farmers to Establish Estimated Energy Requirements during the Off-Season for Farmers: Sun Hee Lee, Seo Eun Yeon, Hee Ryoung Son, Jung Sook Choi, Eun Kyung Kim; Korean J Community Nutr 2012;17(5):652-663. Published online October 31, 2012; DOI: https://doi.org/10.5720/kjcn.2012.17.5.652

Abstract PDF PubReader

The purpose of this study was to assess the physical activity level of Korean farmers to establish estimated energy requirements during the off-season. Subjects were 90 healthy males (n = 25) and females (n = 65). Body weight, height and body fat and muscles of subjects were measured. The prevalence of obesity among farmers was 56.7% according to the BMI. The farmers spent about 18 hours 7 minutes (75.5%) in sleeping and resting. The farmers spent about 19 hours 56 minutes (83.1%) out of 24 hours (one day) in "sedentary activities" and spent about 3 hours 56 minutes (16.4%) in "light activities". Physical activity level (PAL, activity coefficient) of female farmers was 1.42 which was not significantly higher than that (1.37) of male farmers. Estimated energy requirements (EER) for farmers who were different in age groups and gender were calculated. For example, the EERs for male and female farmers were 2190 kcal/day and 1712 kcal/day, respectively. The daily energy intakes of male and female farmers were 1803 kcal/day and 1610 kcal/day, respectively. The EER of male farmers was 2190 kcal/day which was significantly higher than that (1803 kcal/day) of the recommended daily energy intake of male farmers. The results of this study suggest that estimated EER of farmers should be modified according to seasonal workload and energy balance of farmers should be evaluated to prevent obesity.

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The Gangwon Obesity and Metabolic Syndrome Study: Methods and Initial Baseline Data
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Journal of Nutrition and Health.2019; 52(1): 36. CrossRef
A Study on the Body Composition, Physical Activity Level, Basal Metabolic Rate, and Daily Energy Expenditure of Elderly in Busan
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Eun Kyung Byun, Mi Young Kim
Journal of Korean Academy of Psychiatric and Mental Health Nursing.2016; 25(2): 81. CrossRef
Effects of High-speed Elastic Band Training on Physical Fitness and Muscle Function in Rural Community-dwelling Elderly: a Single-blinded Randomized Controlled Trial
Jun Seok Son, Dongheon Kang, Dong Hyun Yoon, Dae-Young Kim, Hee-jae Kim, Jang Hoe Kim, Byunghun So, Han Sol Song, Su Seung Hwang, Wook Song
Korean Journal of Health Promotion.2015; 15(4): 254. CrossRef
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 Journal of Community Nutrition.2014; 19(6): 568. CrossRef
Awareness and Practice of Dietary Action Guide for Adolescence among Middle and High School Students in Korea
So-Hyun Park, Hae-Ryun Park, Soo-Bin Jeon, So-Yeon Jeong, Zuunnast Tserendejid, Jung-Sook Seo, Kyung-Hae Lee, Yeon-Kyung Lee
Korean Journal of Community Nutrition.2012; 17(2): 133. CrossRef
Comparison of Life Style, School Achievement and Snaking Behaviors among Underweight and Overweight Adolescents
Hye-Kyung Kim, Jin-Hee Kim
The Korean Journal of Nutrition.2011; 44(2): 131. CrossRef

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[English]
Assessment of Physical Activity Level of Korean Farmers to Establish Estimated Energy Requirements during Busy Farming Season: Eun Kyung Kim, Sun Hee Lee, Su Young Ko, Seo Eun Yeon, Jeong Sook Choe; Korean J Community Nutr 2011;16(6):751-761. Published online December 31, 2011; DOI: https://doi.org/10.5720/kjcn.2011.16.6.751

Abstract PDF PubReader

The purpose of this study was to assess the physical activity level of Korean farmers to establish their estimated energy requirements during busy farming season. 113 farmers (mean age 51.9 +/- 7.2 years, male 42, female 71) who own farmland area above 300 pyung participated in measurement of body weight and height and interviewing of one-day activity diaries. There was no significant difference in age, BMI between male and female. Obesity prevalence according to BMI among male and female farmers was 40.5% and 50.7% respectively. The farmers spent about 7 hours in sleeping and spent about 4 hours 35 minutes working on the farm and spent about 15 hours 30 minutes (64.6% of 24 hours) in "very light activities" and spent about 3 hours 31 minutes (14.7%) in "light activities". Physical activity level (PAL, activity coefficient) of male farmers was 2.63 which was significantly higher than that (2.19) of female farmers (p < 0.05). Estimated energy requirements (EER) for farmers who were different in age and gender were suggested. For example, the estimated energy requirements for male and female farmers were 3058 kcal/day and 2279 kcal/day, respectively. The results of this study suggest that estimated energy requirements (EER) of farmers should be differentiated according to seasonal workload and energy balance of farmers should be evaluated to prevent obesity.

Citations

Citations to this article as recorded by

The Gangwon Obesity and Metabolic Syndrome Study: Methods and Initial Baseline Data
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Journal of Obesity & Metabolic Syndrome.2022; 31(4): 303. CrossRef
Development of physical activity classification table for Koreans: using the Compendium of physical activities in the United States
Eun-Kyung Kim, Ha-Yeon Jun, Ji-Yeon Gwak, Justice Otoo Fenyi
Journal of Nutrition and Health.2021; 54(2): 129. CrossRef
Establishment and future tasks of estimated energy requirement in 2020 dietary reference intakes for Koreans
Eun-Kyung Kim, Oh Yoen Kim, Jonghoon Park, EunMi Kim, Juhyeon Kim
Journal of Nutrition and Health.2021; 54(6): 573. CrossRef
Amounts of physical activity and sedentary behavior patterns in older adults: using an accelerometer and a physical activity diary
Na-Young Go, Didace Ndahimana, Eun-Kyung Kim
Journal of Nutrition and Health.2019; 52(1): 36. CrossRef
Comparison of Physical Activity Level, Physical Activity Pattern and Energy Expenditure in Male and Female Elementary School Soccer Players using Accelerometer and Physical Activity Diary
Hae-Sun An, Su-Ji Choi, Mo-Ran Lee, Jung-Sook Lee, Eun-Kyung Kim
Korean Journal of Community Nutrition.2017; 22(6): 529. CrossRef
A Study on the Body Composition, Physical Activity Level, Basal Metabolic Rate, and Daily Energy Expenditure of Elderly in Busan
Hwa-Jae Lim
Korean Journal of Community Nutrition.2016; 21(2): 178. CrossRef
Comparison of total energy expenditure between the farming season and off farming season and accuracy assessment of estimated energy requirement prediction equation of Korean farmers
Eun-Kyung Kim, Seo-Eun Yeon, Sun-Hee Lee, Jeong-Sook Choe
Nutrition Research and Practice.2015; 9(1): 71. CrossRef
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 Journal of Community Nutrition.2014; 19(6): 568. CrossRef
Assessment of Physical Activity Pattern, Activity Coefficient, Basal Metabolic Rate and Daily Energy Expenditure in Female University Students
Yoonji Park, Jung Hee Kim
Korean Journal of Community Nutrition.2013; 18(1): 45. CrossRef
Assessment of Energy Intake and Physical Activity Level for Korean Farmers to Establish Estimated Energy Requirements during the Off-Season for Farmers
Sun-Hee Lee, Seo-Eun Yeon, Hee-Ryoung Son, Jung Sook Choi, Eun Kyung Kim
Korean Journal of Community Nutrition.2012; 17(5): 652. CrossRef

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