미취학아동의 활동량, 활동계수, 휴식대사량의 평가, 휴식대사량 실측치와 예측치의 비교 및 휴식대사량 예측공식의 개발
Assessment of Physical Activity, Activity Coefficient and Resting Metabolic Rate(RMR) and Comparison of Predicted RMR with Measured RMR and Development of Prediction Equations for RMR in Preschool Children
- 발행기관 강릉대학교 교육대학원
- 지도교수 유병진
- 발행년도 2008
- 학위수여년월 2008. 8
- 학위명 석사
- 학과 및 전공 영양교육전공
- 원문페이지 ix, 108 p.
- 본문언어 한국어
초록/요약
Part Ⅰ. Assessment of Physical Activity, Activity Coefficient and Resting Metabolic Rate in Preschool Children Understanding interindividual variability of energy expended in common activities is important for determining precise estimates of energy expenditure in surveillance studies and clinical trials. The purpose of this study was to describe the variability in energy expenditure for selected physical activities among preschool children. And this study was to assess the activity coefficient and resting metabolic rate of 42 preschool children (17 boys and 25 girls). Body weight and height were measured and one-day activity diaries were collected by interviewing with their parents and kindergarten teachers. Resting metabolic rate measured and compared with prediction equations. Prediction equations included: the Harris-Benedict, Dietary Reference Intakes for Koreans, Mifflin, Maffeis, Body surface area, WHO/NAO/FAO, Schofield(-HW, -W), Owen, FAO/WHO/UNU, Cunningham and Altman and Dittmer formula. The average age of the subjects was 5.0±0.9years. Average height, weight, Kaup index, body fat and body muscle of subjects were 108.9±6.3cm, 18.9±3.0kg, 15.9±1.7, 17.7±7.1% and 26.8±5.7%, respectively. The younger children spent about 10 hours 39 minutes sleeping ; 4 hours 16 minutes personal hygiene and computer working. They spent 88.2% of 24 hours(one day) in 'very light activities' and 11.3% in 'light activities'. Activity coefficient(1.34) of weekday was significantly higher than that of weekend(1.21). Mean measured resting metabolic rate was 878.1±56.1 kcal/day(no significant gender differences). Only results from the Maffeis and Schofield(-HW, -W) equations were not significantly different from the measured resting metabolic rate. Others showed differences of up to 227±61.4kcal/day. The results of this study can be used to estimate energy requirements for Korean preschool children and suggested that nutrition and exercise program to increase the energy expenditures of preschool children should be developed. Part Ⅱ. Comparison of Predicted RMR with Measured RMR and Development for Prediction Equations for RMR in Preschool Children The purposes of this study were : 1) to compare the accuracy and precision of twelve published equations for predicting resting metabolic rate(RMR) in preschool children and 2) to develop a population-specific equation. Doing physical measurement, and then, after rising in the morning, using indirect calorimetry(trueone2400 co.,USA), we measured RMR in stable condition. Besides, measured RMR was compared with values predicted RMR using various predicted equations. Prediction equations included: the Harris-Benedict, Dietary Reference Intakes for Koreans, Mifflin, Maffeis, Body surface area, WHO/NAO/FAO, Schofield(-HW, -W), Owen, FAO/WHO/UNU, Cunningham and Altman and Dittmer formula. Measured RMR was compared with predicted RMR by means of paired t-test, RMSPE, linear regression analysis and the Bland-Altman test. Relationships between measured RMR and the different predictive variables were evaluated by Pearson's correlation coefficients. The best subset was used to develop the predictive equation for RMR. Mean measured resting metabolic rate was 878.1±56.1kcal/day (no significant gender differences). Only results from the Maffeis and Schofield(-HW, -W) equations were not significantly different from the measured resting metabolic rate. Others showed differences of up to 227±61.4kcal/day. RMR correlated best with hip circumference(r=0.499, p<0.001), mid arm circumference(r=0.482), waist circumference(r=0.462), body weight(r=0.455). The best-fit equation for the entire data included mid arm circumference and it was given by : RMR(kcal/day)=619.3+ 14.95×MAC(cm)(mean difference : -0.01kcal/day, 95% IC : -15.2 to 15.2 kcal/day). For an individual resting metabolic rate evaluation, the use of indirect calorimetry is recommended. in conditions where this technique cannot be used, our developed equation can predict the RMR of Korean preschool children better than any of the currently available prediction equations.
more목차
Ⅰ. 서 론 = 1
Ⅱ. 문헌고찰 = 5
1. 미취학아동의 성장과 발육 = 5
2. 신체활동과 에너지소비 = 6
3. 에너지소비량의 변화에 영향을 주는 요인 = 11
Ⅲ. 연구대상 및 방법 = 17
제1부. 미취학아동의 활동량, 활동계수 및 휴식대사량의 평가 = 17
1. 연구대상 = 17
2. 신체계측 = 17
3. 휴식대사량의 평가 = 19
4. 24시간 활동일기를 통한 신체활동량 조사 = 23
5. 자료처리 및 통계분석 = 23
제2부. 미취학아동의 휴식대사량 실측치와 예측치의 비교 및휴식대사량 예측공식의 개발 = 24
1. 연구대상 = 24
2. 신체계측 = 24
3. 휴식대사량 실측치와 예측치의 비교평가 = 24
4. 휴식대사량 예측공식의 개발 = 26
5. 자료처리 및 통계분석 = 27
Ⅳ. 연구결과 및 고찰 = 28
제1부. 미취학아동의 활동량, 활동계수 및 휴식대사량의 평가 = 28
1. 연구대상 아동의 일반적 특성 = 28
2. 활동단계에 따른 소요시간 비교 = 31
3. 성별, 비만군별 활동계수 비교 = 39
4. 휴식대사량의 평가 = 43
제2부. 미취학아동의 휴식대사량 실측치와 예측치의 비교 및휴식대사량 예측공식의 개발 = 54
1. 연구대상 아동의 일반적 특성 = 54
2. 휴식대사량 실측치와 예측치의 비교평가 = 57
3. 휴식대사량 예측공식의 개발 = 80
Ⅴ. 요약 및 결론 = 91
Ⅵ. 참고문헌 = 96
