Korean Journal of Community Nutrition

Original Articles

[English]
Comparison of Predicted and Measured Resting Energy Expenditure in Overweight and Obese Korean Women: Ji Sook Park, Jung Eun Yim; Korean J Community Nutr 2018;23(5):424-430. Published online October 31, 2018; DOI: https://doi.org/10.5720/kjcn.2018.23.5.424

OBJECTIVES
The purpose of this study was to compare predictions and measurements of the resting energy expenditure (REE) of overweight and obese adult women in Korea.
METHODS
The subjects included 65 overweight or obese adult women ranging in age from 20~60 with a recorded body mass index (BMI) of 23 or higher. Their height, weight, waist-hip ratio, and blood pressure were measured. The investigator also measured their body fat, body fat percentage, and body composition of total weight without fat using Dual energy X-ray absorptiometry (DXA) and measured resting energy expenditure by indirect calorimetry. Measured resting energy expenditures were compared with predictions from six methods: Harris-Benedict, Mifflin, Owen, WHO-WH, Henry-WH, and KDRI.
RESULTS
Harris-Benedict predictions showed the smallest differences from measured resting energy expenditure at an accurate prediction rate of 70%. The study analyzed regression between measured resting energy expenditure and body measurements including height, weight and age. The formula proposed by this research is as follows: Proposed REE equation for overweight and obese Korean women = 721 âˆ’ (1.5 Ã— age) + (0.4 Ã— height) + (9.9 Ã— weight).
CONCLUSIONS
These findings suggest that age is a significant variable when predicting resting energy expenditure in overweight and obese women. Therefore, prediction of resting energy expenditure should consider age when determining energy requirements in overweight and obese women.

Citations

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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

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[English]
Accuracy of Accelerometer for the Prediction of Energy Expenditure and Activity Intensity in Athletic Elementary School Children During Selected Activities: Su Ji Choi, Hae Sun An, Mo Ran Lee, Jung Sook Lee, Eun Kyung Kim; Korean J Community Nutr 2017;22(5):413-425. Published online October 31, 2017; DOI: https://doi.org/10.5720/kjcn.2017.22.5.413

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OBJECTIVES
Accurate assessment of energy expenditure is important for estimation of energy requirements in athletic children. The objective of this study was to evaluate the accuracy of accelerometer for prediction of selected activities' energy expenditure and intensity in athletic elementary school children.
METHODS
The present study involved 31 soccer players (16 males and 15 females) from an elementary school (9-12 years). During the measurements, children performed eight selected activities while simultaneously wearing the accelerometer and carrying the portable indirect calorimeter. Five equations (Freedson/Trost, Treuth, Pate, Puyau, Mattocks) were assessed for the prediction of energy expenditure from accelerometer counts, while Evenson equation was added for prediction of activity intensity, making msix equations in total. The accuracy of accelerometer for energy prediction was assessed by comparing measured and predicted values, using the paired t-test. The intensity classification accuracy was evaluated with kappa statistics and ROC-Curve.
RESULTS
For activities of lying down, television viewing and reading, Freedson/Trost, Treuth were accurate in predicting energy expenditure. Regarding Pate, it was accurate for vacuuming and slow treadmill walking energy prediction. Mattocks was accurate in treadmill running activities. Concerning activity intensity classification accuracy, Pate (kappa=0.72) had the best performance across the four intensities (sedentary, light, moderate, vigorous). In case of the sedentary activities, all equations had a good prediction accuracy, while with light activities and Vigorous activities, Pate had an excellent accuracy (ROC-AUC=0.91, 0.94). For Moderate activities, all equations showed a poor performance.
CONCLUSIONS
In conclusion, none of the assessed equations was accurate in predicting energy expenditure across all assessed activities in athletic children. For activity intensity classification, Pate had the best prediction accuracy.

Citations

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Developing a Multimodal Monitoring System for Geriatric Depression
Youngshin Cho, Kyuhee Lim, Sunghee Lee, Yuntae Kim, Mijung Kim, Chang Oh Kim, Youkyung Kim, Heejung Kim
CIN: Computers, Informatics, Nursing.2023; 41(1): 46. 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

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[English]
Measurement of Energy Expenditure Through Treadmill-based Walking and Self-selected Hallway Walking of College Students - Using Indirect Calorimeter and Accelerometer: Ye Jin Kim, Cui Sang Wang, Eun Kyung Kim; Korean J Community Nutr 2016;21(6):520-532. Published online December 31, 2016; DOI: https://doi.org/10.5720/kjcn.2016.21.6.520

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OBJECTIVES
The objective of this study was to assess energy expenditure and metabolic cost (METs) of walking activities of college students and to compare treadmill based walking with self-selected hallway walking.
METHODS
Thirty subjects (mean age 23.4 Â± 1.6 years) completed eight walking activities. Five treadmill walking activities (TW2.4, TW3.2, TW4.0, TW4.8, TW5.6) were followed by three self-selected hallway walking activities, namely, walk as if you were walking and talking with a friend: HWL (leisurely), walk as if you were hurrying across the street at a cross-walk: HWB (brisk) and walk as fast as you can but do not run: HWF (fast) were performed by each subject. Energy expenditure was measured using a portable metabolic system and accelerometers.
RESULTS
Except for HWF (fast) activity, energy expenditures of all other walking activities measured were higher in male than in female subjects. The lowest energy expenditure and METs were observed in TW2.4 (3.65 Â± 0.84 kcal/min and 2.88 Â± 0.26 METs in male), HWL (leisurely) (2.85 Â± 0.70 kcal/min and 3.20 Â± 0.57 METs in female), and the highest rates were observed in HWF (fast) (7.72 Â± 2.81 kcal/min, 5.84 Â± 1.84 METs in male, 6.65 Â± 1.57 kcal/min, 7.13 Â± 0.68 METs in female). Regarding the comparison of treadmill-based walking activities and self-selected walking, the energy expenditure of HWL (leisurely) was not significantly different from that of TW2.4. In case of male, no significant difference was observed between energy costs of HWB (brisk), HWF (fast) and TW5.6 activities, whereas in female, energy expenditures during HWB (brisk) and HWF (fast) were significantly different from that of TW5.6.
CONCLUSIONS
In this study, we observed that energy expenditure from self-selected walking activities of college students was comparable with treadmill-based activities at specific speeds. Our results suggested that a practicing leisurely or brisk walking for a minimum of 150 minutes per week by both male and female college students enable them to meet recommendations from the Physical activity guide for Koreans.

Citations

Citations to this article as recorded by

Accuracy of Accelerometer for the Prediction of Energy Expenditure and Activity Intensity in Athletic Elementary School Children During Selected Activities
Su-Ji Choi, Hae-Sun An, Mo-Ran Lee, Jung-Sook Lee, Eun-Kyung Kim
Korean Journal of Community Nutrition.2017; 22(5): 413. CrossRef
Energy expenditure of physical activity in Korean adults and assessment of accelerometer accuracy by gender
Yeon-jung Choi, Mun-jeong Ju, Jung-hye Park, Jong-hoon Park, Eun-kyung Kim
Journal of Nutrition and Health.2017; 50(6): 552. 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

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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.

Citations

Citations to this article as recorded by

Study on the relationship between dietary habits and the quality of life of some high school students in Seoul based on the nutrition quotient for adolescents (NQ-A)
Ho-Jung Kim, Jung-Sug Lee, Yookyung Kim
Journal of Nutrition and Health.2024; 57(3): 320. CrossRef
The Gangwon Obesity and Metabolic Syndrome Study: Methods and Initial Baseline Data
Yoon Jeong Cho, Sohyun Park, Sung Soo Kim, Hyo Jin Park, Jang Won Son, Tae Kyung Lee, Sangmo Hong, Jee-Hyun Kang, Seon Mee Kim, Yang-Hyun Kim, Won Jun Kim, Young Eun Seo, Yoosuk An, Sang Youl Rhee, Suk Chon, Sookyoung Jeon, Kyungho Park, Bong-Soo Kim, Cha
Journal of Obesity & Metabolic Syndrome.2022; 31(4): 303. 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
Relationship between Dietary Habits, Life Stress and Nutrition Knowledge of High School Students in Gyeonggi Area
Kyung Ae Park, Hongmie Lee, Kyunghee Song
Korean Journal of Community Nutrition.2020; 25(2): 126. 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
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
Factors Influencing Dietary Behavior in Nursing Students
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
Yoon Jeong Cho, Sohyun Park, Sung Soo Kim, Hyo Jin Park, Jang Won Son, Tae Kyung Lee, Sangmo Hong, Jee-Hyun Kang, Seon Mee Kim, Yang-Hyun Kim, Won Jun Kim, Young Eun Seo, Yoosuk An, Sang Youl Rhee, Suk Chon, Sookyoung Jeon, Kyungho Park, Bong-Soo Kim, Cha
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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[English]
The Analysis of Activity Energy, Total Energy, and Estimated Energy Expenditures in 5th and 6th Grade Primary School Students: Mi Jeong Kim, Hyeon Ju Na, Youngnam Kim; Korean J Community Nutr 2011;16(2):195-205. Published online April 30, 2011; DOI: https://doi.org/10.5720/kjcn.2011.16.2.195

Abstract PDF PubReader

This study was conducted to investigate the time spent, activity coefficient and energy expenditure on 7 different types of activity. Total of 386 5th and 6th grade primary school boys and girls in Seoul participated in this study. The participants spent 8 hrs for rest, 4 hrs for out of school study, 3 hrs for leisure, 1 hr 45 mins. for hygiene, 1 hr for commute, and 15 mins. for house choir activity in the day of 6 class hours. The average activity coefficient of 1 day for boys and girls were 1.69 and 1.64, respectively. The TEEs were 2,382 kcal and 2,050 kcal for boys and girls, respectively. The energy cost for study related activity (in school and study activities) was 40% of the TEE, and for rest 20%, for commute 9%, and for hygiene 10% of the TEE. The energy cost for house choir was only about 2% of TEE. The 91.2% participant's EER was higher than the EER shown in the table of 2010 DRI for Koreans. When the participant's EER was compared with the energy allowance calculated by the method in 2000 RDA for Korean, 81.6% was in the range of +/- 5%, and the correlation coefficients between the 2 values were 0.981 for boys and 0.978 for girls, which means high agreements.

Citations

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Energy expenditure measurement of various physical activity and correlation analysis of body weight and energy expenditure in elementary school children
Jae-Hee Kim, Hee-Ryoung Son, Jung-Sook Choi, Eun-Kyung Kim
Journal of Nutrition and Health.2015; 48(2): 180. CrossRef
Physical activity level, total daily energy expenditure, and estimated energy expenditure in normal weight and overweight or obese children and adolescents
Myung Hee Kim, Eun Kyung Kim
Korean Journal of Nutrition.2012; 45(6): 511. CrossRef
Criterion Development of 4 Activity Levels for Estimated Energy Requirement Calculation for Primary School Students
Mi-Jeong Kim, Hyeon-Ju Na, Youngnam Kim
Korean Journal of Community Nutrition.2011; 16(3): 307. CrossRef

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[English]
A Comparison of Energy Intake and Energy Expenditure in Normal-Weight and Over-Weight Korean Adults: Jung A Park, Ki Jin Kim, Jin Sook Yoon; Korean J Community Nutr 2004;9(3):285-291. Published online June 30, 2004

Abstract PDF: The purpose of this study was to compare the energy expenditure and energy intake of normal-weight and overweight Korean adults. We recruited 242 adults to determine resting energy expenditure, physical activity and energy intake. Resting energy expenditure was measured by indirect calorimetry. Energy intake for consecutive two days was assessed by 24 hour recall method. Daily activity pattern for 24 hour was collected from each subject. Body weight, lean body mass and percentage body fat were measured by INBODY 3.0. The subjects were divided into normal (20 < or = BMI < 25) and overweight (BMI > or = 25) groups by BMI. There was no significant difference in intake of energy between two groups. Energy intake of each group was lower than the 7th Korean RDA of energy. Overweight subjects showed significantly lower REE/kg body weight. However, REE/kg lean body mass (LBM) did not differ between the two groups. Total activity energy was significantly higher in the overweight group compared to the normal group. Daily activity coefficient of overweight group in male was lower than that of normal group. Daily activity coefficient was almost same in two female groups. LBM was highly correlated with REE and total energy expenditure. We concluded that the overweight group consumed more energy than the normal group due to the heavier body weight.

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[English]
A Comparison of the Resting Energy Expenditure of Korean Adults Using Indirect Calorimetry: Jung A Park, Ki Jin Kim, Joung Hee Kim, Young Sook Park, Jaeok Koo, Jin Sook Yoon; Korean J Community Nutr 2003;8(6):993-1000. Published online December 31, 2003

Abstract PDF: The purpose of this study was to provide baseline data for revising the recommended energy intake for Korean adults. We recruited 290 adults so as to determine their resting energy expenditure (REE) and energy intake. The REE was measured by indirect calorimetry. We also calculated the REE from prediction equations formulated by World Health Organization (WHO). The energy intake for two consecutive days was assessed using the 24 hour recall method. The body weight, lean body mass (LBM) and percentage body fat were measured using the INBODY 3.0 system. We compared the results of three age groups; 20 to 29 years, 30 to 49 years and 50 years or more. The average energy intake of each age group was below the 7th Korean Recommended Dietary Allowances (RDA). The average energy intake was lower in the older age groups. However, no difference was observed among the age groups when the energy intake as a percentage of the Korean RDA was compared. Our measurement of the REE was higher than the REE calculated by the WHO's method. Correlation coefficients between the measured and the calculated values of REE for all age groups showed significant correlations (r = 0.475-0.672). As the ages of all the subjects increased, the REE/kg of body weight decreased. There were no significant differences in the REE / kg of the LBM between the different age groups; however, the REE/kg of the LBM was higher in the female group than in the male group. Negative correlations of the REE with the age (r = -0.242) and body fat ratio (r = -0.313) were observed; positive correlations of the REE with the BMI (r = 0.265), height (r = 0.570), weight (r = 0.562) and LBM (r = 0.586) were also found (p < 0.01).

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[English]
The Estimation of the Daily Energy Expenditure of Korean Adolescents: Youngnam Kim, Hyeon Ju Na; Korean J Community Nutr 2003;8(3):270-279. Published online June 30, 2003

Abstract PDF: Middle and high school students in Korea spend a lot of time at school. In other words, many Korean teenagers spend most of their time studying, and have little time for other activities, such as physical workouts. Fewer physical activities, and consumption of many snacks, etc. may lead to overweight or obesity in some teenagers. This study was conducted to find out the activity levels of teenagers' in order to calculate their daily energy expenditures. A total of 1,192 students (461 middle school students and 731 high school students) who lives in either a city or a country area were recruited for this study. One-day Activity Diaries were collected using questionnaires and analyzed by means of SPSS/win. The participating students spent about 7 hours 24 minutes resting including sleeping; 6 hours 28 minutes studying, 4 hours 4 minutes in leisure activities, 1 hour 32 minutes in personal hygiene activities such as washing, dressing and undressing, etc., 50 minutes on transportation : and 23 minutes on household chores such as cleaning, doing the laundry, etc. The average activity factor was 1.49. That of middle school female students was the lowest at 1.47, followed by middle school male students at 1.48, high school female students at 1.49, and high school male students at 1.51. The daily energy expenditure of middle and high school male students was 2,289 kcal and 2,600 kcal, respectively. That of female students was 1,959 kcal and 2,067 kcal, respectively.

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[English]
Nutritional Status and Energy Expenditure in the Elderly in a Rural Community: Heejung Yoon, Jinhee Kwoun, Sungkook Lee; Korean J Community Nutr 2002;7(3):336-344. Published online June 30, 2002

Abstract PDF: In this study, nutrient intake status and energy expenditure were examined to investigate the nutritional status of the elderly in a rural community. The results obtained by questionaries, the 24 hour recall method, and time-diary were as follows: The elderly men surveyed were 73.8 years old, on the average. The elderly women surveyed were 73.5 years old, on the average. The proportion of the elderly with diseases was 51.9%. Most of the subjects (86.1%) had a regular meal pattern of consuming three meals a day. The average daily energy intake of the rural elderly was much lower than the Korean RDA. The dietary assessment data showed that each energy intake of the males and the females was 79.5% and 84.3% of the RDA, respectively. The dietary intake of Ca, Fe, niacin, thiamin, and riboflavin was lower than the Korean RDA, and that of P and Vitamin C was adequate. The Fe intake was significantly different with respect to age and sex (p < 0.05). Although, in both elderly men and elderly women it decreased with age, the elderly men's intake was lower than the elderly women's. The heights of the elderly men and the elderly women was 159.7 cm and 147.5 cm, respectively, and the weights were 60.0 kg and 52.2 kg, respectively, and the BMI was in the moderate range. Heights significantly decreased with age (p < 0.05). According to daily living schedules, leisure time (11.0 hour) was the longest, physiological time (9.6 hours) was next, and work time (3.4 hours) was the shortest. Energy expenditure significantly decreased with age (p < 0.01). Energy intake also decreased with aging. Energy balance (energy expenditure/ energy intake) was 93.4% in elderly men and 104.0% in elderly women. Especially, in elderly men in the 65 to 74 age range, the energy balance was the lowest, and the nutrient intake was also much lower than that of elderly women.

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