• 대한영양사협회학술지
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• 제13권2호
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• pp.157-168
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• 2007

The purposes of this study were to measure the resting metabolic rate(RMR) of 30-40 year old women and to compare it with values predicted using published equations. Body weight, height and body fat of subjects were measured. RMR was measured by two indirect calorimeter(method 1 and method 2). RMR was predicted using various equations. Average height, weight and body fat(%) of subjects were 158.6cm, 59.1kg and 30.9%, respectively. The RMR(1621.2$\pm$301.5 kcal/day) measured by portable indirect calorimeter(method 2) was significantly higher than RMR(1447.4$\pm$223.6 kcal/day) measured by typical indirect calorimeter(method 1). Comparison of measured RMR with predicted RMRs suggested that there was a least difference in RMR predicted by equation of Cunningham. According to RMSPEs(Root Mean Squared Prediction Errors), equations of Cunningham and body surface area were found to predict measured RMR(by method 1) most accurately (within 239.1kcal/day and 232.9kcal/day, respectively). The fat free mass and fat mass - adjusted correlation showed that measured RMR(by method 1) had negative relationships with muscle mass(r = -0.873) and fat free mass(r = -0.866). The equations of Cunningham and body surface area provide relatively accurate estimates of RMR when determining energy needs of 30-40 aged women. There are needs for development of RMR predicted equations that are derived from large samples of Korean.

• 한국지반공학회논문집
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• 제25권10호
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• pp.67-76
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• 2009

국내 풍화암 터널현장에서 수집한 RMR 평점, RMR* 평점 그리고 천단침하량의 자료를 이용하여 통계적 분석을 실시하였으며, 분석된 자료를 이용하여 회귀분석, 지수함수, 그리고 인공신경망(ANN)으로 천단침하량을 예측하였다. 예측 결과, ANN, 지수함수에 의한 근사함수, 그리고 회귀분석의 천단침하량 예측 순으로 실측치에 근접하였다. 회귀분석으로 추정된 천단침하량의 범위는 매우 넓게 분포하였으며, 계측치에 비하여 과대한 침하량을 예측하였다. 또한 모든 방법에서 RMR 평점을 사용한 예측이 RMR* 평점을 사용하여 예측한 결과보다 계측 침하량에 더 가까운 예측을 하였다.

• 대한지역사회영양학회지
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• 제14권4호
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• pp.462-473
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• 2009

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 within 90% 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 $1833.4{\pm}307.4kcal/day$ and $1454.3{\pm}208.0kcal/day$, 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. (Korean J Community Nutrition 14(4) : 462${\sim}$473, 2009)

• 생명과학회지
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• 제18권6호
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• pp.865-870
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• 2008

운동과 식이요법을 병행한 체중감량 프로그램에 참여한 여성 비만인의 체지방량, 안정시대사량, 그리고 갑상선 호르몬 차이를 비교할 목적으로 실험한 결과, 체지방량, 체지방율, 체표면적이 유의하게 감소되었고, 안정시대사량 예측치와 실측치 모두 유의하게 감소되었지만, 갑상선 호르몬의 변화는 나타나지 않았다. 안정시대사량과 신체요인들과의 상관분석 결과, 제지방 체충이 가장 밀접한 관계를 보였으며, 안정시대사량과 갑상선 호르몬들과의 관계에서는 TSH와 가장 밀접한 관계를 나타내었다. 결론적으로 8주간 체중감량 프로그램 참여로 체지방은 효과적으로 감소되었으나, 갑상선 호르몬 차이는 없었고 체중감소에 비해 제지방이 유지됨으로써 안정시대사량의 감소는 최소화되어, 에너지 대사작용에 긍정적인 영향을 준 것으로 사료된다.

• 운동영양학회지
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• 제24권1호
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• pp.9-13
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• 2020

[Purpose] This preliminary study aimed to develop a regression model to estimate the resting metabolic rate (RMR) of young and middle-aged Koreans using various easy-to-measure dependent variables. [Methods] The RMR and the dependent variables for its estimation (e.g. age, height, body mass index, fat-free mass; FFM, fat mass, % body fat, systolic blood pressure, diastolic blood pressure, mean arterial pressure, pulse pressure, and resting heart rate) were measured in 53 young (male n = 18, female n = 16) and middle-aged (male n = 5, female n = 14) healthy adults. Statistical analysis was performed to develop an RMR estimation regression model using the stepwise regression method. [Results] We confirmed that FFM and age were important variables in both the regression models based on the regression coefficients. Mean explanatory power of RMR₁ regression models estimated only by FFM was 66.7% (R²) and 66.0% (adjusted R²), while mean standard errors of estimates (SEE) was 219.85 kcal/day. Additionally, mean explanatory power of RMR₂ regression models developed by FFM and age were 70.0% (R²) and 68.8% (adjusted R²), while the mean SEE was 210.64 kcal/day. There was no significant difference between the measured RMR by the canopy method using a metabolic gas analyzer and the predicted RMR by RMR₁ and RMR₂ equations. [Conclusion] This preliminary study developed a regression model to estimate the RMR of young and middle-age healthy Koreans. The regression model was as follows: RMR₁ = 24.383 × FFM + 634.310, RMR₂ = 23.691 × FFM - 5.745 × age + 852.341.

• Nutrition Research and Practice
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• 제9권4호
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• pp.370-378
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• 2015

BACKGROUND/OBJECTIVES: Athletes generally desire changes in body composition in order to enhance their athletic performance. Often, athletes will practice chronic energy restrictions to attain body composition changes, altering their energy needs. Prediction of resting metabolic rates (RMR) is important in helping to determine an athlete's energy expenditure. This study compared measured RMR of athletic and non-athletic adolescents with predicted RMR from commonly used prediction equations to identify the most accurate equation applicable for adolescent athletes. SUBJECTS/METHODS: A total of 50 athletes (mean age of $16.6{\pm}1.0years$, 30 males and 20 females) and 50 non-athletes (mean age of $16.5{\pm}0.5years$, 30 males and 20 females) were enrolled in the study. The RMR of subjects was measured using indirect calorimetry. The accuracy of 11 RMR prediction equations was evaluated for bias, Pearson's correlation coefficient, and Bland-Altman analysis. RESULTS: Until more accurate prediction equations are developed, our findings recommend using the formulas by Cunningham (-29.8 kcal/day, limits of agreement -318.7 and +259.1 kcal/day) and Park (-0.842 kcal/day, limits of agreement -198.9 and +196.9 kcal/day) for prediction of RMR when studying male adolescent athletes. Among the new prediction formulas reviewed, the formula included in the fat-free mass as a variable [$RMR=730.4+15{\times}fat-free\;mass$] is paramount when examining athletes. CONCLUSIONS: The RMR prediction equation developed in this study is better in assessing the resting metabolic rate of Korean athletic adolescents.

• 한국터널지하공간학회 논문집
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• 제12권6호
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• pp.463-473
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• 2010

통계 관리도 기법을 활용한 터널 굴착면 전방 단층대 예측 기법을 제시하고 적용성을 검토하였다. 5개의 RMR 변수와 기초 RMR에 대한 $x-R_s$ 관리도를 작성하여 단층대로 접근함에 따른 각 변수의 변화 분석을 통해 이상 구간을 통계적인 기준에 의해 판정하였으며, 이러한 이상 구간을 단층대 구간으로 간주하였다. 관리도 평가 기법을 터널 시공현장에 적용한 결과, 선진수평시추 및 막장 관찰을 통해 확인된 3 개소의 단층대 구간은 관리도 판정에 의해 단층대가 출현하는 시점보다 각각 1~3 굴착면 이전에 인지되었으며, 거리로 환산하면 2.2 m, 5.0 m, 6.0 m 이전에 해당된다.

• 한국터널지하공간학회 논문집
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• 제18권4호
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• pp.341-354
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• 2016

본 논문은 설계단계에서 지반조사와 수치해석을 통해 예측된 터널의 거동특성과 실제 시공단계에서 어떠한 변형특성을 보이고 있는지 RMR 및 계측데이터의 비교분석을 통해 선정된 터널지보시스템의 선택적 적용을 보여준다. 이는 파쇄대가 과대분포한 암반지역에 터널을 설치할 경우, 터널굴착지반의 거동은 지반의 특성과 보강공법 등의 영향에 따라 상이한 거동특성 때문이다. 그러므로, 본 연구에서는 지반설계자가 단층대 및 파쇄대가 과대 분포한 암반지역의 터널 설계시, RMR-계측 데이터 분석과 지반물성치 저감에 따른 매개변수 분석을 비교하여, 지반 설계자가 향후 유사한 파쇄대가 과대분포한 지역의 터널거동특성을 예측할 수 있도록 하고자 한다.

• 대한영양사협회학술지
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• 제15권1호
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• pp.52-68
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• 2009

This study compared activity factor. predicted resting metabolic rate (RMR), and nutrient intakes between athletic and non-athletic high school students in Gangwon-do. Fifty soccer players (30 males and 20 females; mean ages 16.7${\pm}$1.0 years and 16.4${\pm}$1.1 years. respectively) and 50 non-athletic (30 males and 20 females: mean ages 17.5${\pm}$0.4 years and 16.4${\pm}$1.1 years respectively) high school students were included. Anthropometric measurements included: weight and height. triceps skinfold, mid-ann circumference, and body fat. Prediction equations consisted of those from the Harris-Benedict. FAO/WHO/VNU, IMNA, Cunningham, Mifflin et al., and Owen et al. A one-day activity diary was collected by interview, and the 24-hour recall method was used to analyze nutrient intakes of subjects. The activity factors of the male and female athletic groups (2.23 and 2.16, respectively) were significantly higher than those (1.52 and 1.46, respectively) of the non-athletic group. There was only a significant difference in RMR by use of the Cunningham's equation between two groups. For the males. almost all nutrient intakes of the athletic group (except carbohydrate, iron, vitamin $B_1$, $B_6$, and niacin) of athletic group were significantly higher than those of the non-athletic group. The female athletic group showed significantly higher nutrient intakes with the exception of most vitamins. These results suggest that assessments of energy balance between energy intake and energy expenditure by employing RMR and activity factors would be useful to prevent and treat obesity in high school athletes. In addition, the Cunningham's equation would be appropriate for predicting their energy needs.

• 터널과지하공간
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• 제16권3호
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• pp.251-258
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• 2006

본 연구에서는 공내재하시험으로 측정된 변형계수를 이용하여 RMR을 이용한 변형계수 추정 방법에 대한 국내 암반에서의 적용성을 평가하고, 암반의 변형계수에 영향을 미치는 여러 변수들과 변형계수와의 상관성 분석을 실시하였다. RMR을 이용하여 변형계수 예측을 위해 제안된 기존의 제안식은 변형계수를 과대 예측하고 있었으며, 암종별로도 추정값과 측정값이 상관성의 차이가 컸다. 암반 특성치로서 일축압축강도, RQD, 절리 상태, 절리 간격, 지하수 상태, 측정 심도를 주요 변수로 하여 암반의 변형계수에 미치는 영향에 대한 개개의 상관성 분석을 수행한 결과, RQD가 가장 높은 상관성을 보여 예비설계 단계에서 RQD만으로도 암반의 상태 및 변형계수를 추정할 수 있을 것으로 판단되었고 절리 간격과 절리 상태 의 경우 또한 암반 변형계수와의 상관성이 비교적 높은 것으로 예상되었으며, 일축압축강도는 변형계수와 밀접한 관계가 있음에도 불구하고 RMR값에 미치는 영향이 적기 때문에 상관성이 낮았다. 따라서 상관성을 높이기 위해서는 일축압축강도의 배점에 신경을 써야하고 일축압축강도 측정시 주의가 필요하다고 판단된다. 또한 지하수의 경우 점수 배점으로 평가되므로 시추자료로 변형계수를 평가하는데 한계가 있을 것으로 사료되어 평가에서 제외시키는 것이 합리적일 것으로 판단된다. 또한 앞으로 변형계수 및 암반 특성에 관한 자료 확보 및 연구를 통해 암반의 풍화도, 암반의 간극률, 절리 특성 등에 관한 보다 복합적인 결과 도출을 위하여 다변량 중회귀분석 등과 같은 다양한 접근을 통한 연구가 필요할 것으로 판단된다.