Korean Journal of Community Nutrition (대한지역사회영양학회지)

The Korean Society of Community Nutrition (대한지역사회영양학회)
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Assessment of Physical Activity Pattern, Activity Coefficient, Basal Metabolic Rate and Daily Energy Expenditure in Female University Students

일부 여대생의 활동에너지 소비패턴, 활동계수, 기초대사량 및 에너지 소비량 평가

  • Park, Yoonji (Department of Food and Nutrition, College of Natural Sciences, Seoul Women's University) ;
  • Kim, Jung Hee (Department of Food and Nutrition, College of Natural Sciences, Seoul Women's University)
  • 박윤지 (서울여자대학교 자연과학대학 식품영양학과) ;
  • 김정희 (서울여자대학교 자연과학대학 식품영양학과)
  • Received : 2013.01.31
  • Accepted : 2013.02.13
  • Published : 2013.02.28
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Abstract

This study was conducted to investigate the physical activity pattern, activity coefficient, basal metabolic rate and energy expenditure of female university students. One-day activity diaries were collected from 95 female university students in Seoul. Body composition was measured by Inbody 720. Subjects spent 7 hr 8min on sleeping, 6 hr 31min on studying, 2 hr 50min on physiological activity, 2 hr 3min on leisure, 2 hr 2min on walking and jogging, 1 hr 58 min on commuting and 22min on house chores. The activity coefficient of these subjects was 1.58. The comparison of body composition of subjects according to PAL showed that body weight, body fat mass, arm circumference and arm muscle circumference of physically active group were significantly higher than those of the sedentary group. BMR calculated by Harris-Benedict (H-B) formula and DRI formula and BMR measured by Inbody 720 was 1375 kcal, 1306 kcal and 1209 kcal, respectively. Total energy expenditure (TEE) examined by one-day activity diaries and calculated by H-B formula and estimated energy requirement (EER) formula in DRI was 2102.1 kcal, 2184.4 kcal, and 2164.5 kcal, respectively. The Pearson correlation coefficient between TEE examined by one-day activity diaries and H-B TEE was 0.795 (p < 0.001) while that between TEE examined and DRI EER was 0.604 (p < 0.001). Overall data indicated that female university students seemed to be less active. Therefore it is recommended that universities develop good exercise programs for their students. Further studies are needed to generate more meaningful results with a larger sample size and using machine attached to the body, which are able to detect physical activity more accurately.

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References

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