비포화흐름 해석을 위한 부간극수압팁의 개발 및 검증

문준배,김상규,장연수 대한토목학회 1993 대한토목학회 학술발표회 논문집 Vol.1993 No.1

Relative Fat Mass(RFM)의 구인 타당성 검증

문준배(Mun, Jun-Bae),조원제(Cho, Won-Je) 한국웰니스학회 2023 한국웰니스학회지 Vol.18 No.1

이 연구는 비만측정도구인 RFM를 BMI 및 허리둘레와 비교하여 심혈관질환 위험요인과의 구인 타당성을 검증하기 위해 실시하였다. 이 연구의 목적을 달성하기 위해 국민건강영양조사의 제8기 2차년도(2020년)의 원시자료를 사용하여 20세 이상의 성인 남녀 총 3,901명의 자료를 분석하였다. RFM의 구인타당성 검증을 위해 체질량지수와 허리둘레가 심혈관질환 위험요인(고혈압, 당뇨, 이상지질혈증)에 미치는 영향력을 분석하기 위해 SPSS Ver. 20 통계프로그램을 사용하여 로지스틱 회귀분석을 실시하였다. 그 결과 RFM은 심혈관질환 위험요인과의 피어슨 상관계수는 약함(r = .2)에서 중간(r = .4) 정도의 관계를 나타냈으며, 통계적으로 유의성을 보였고 대부분의 효과크기는 중간(medium, Cohen’s d = .40)에서 높음(large, Cohen’s d = .87) 수준을 나타냈다. 또한 비만 측정도구와 심혈관질환 위험요인의 유병률을 분석한 결과 통계적으로 유의하였고(odds ratio, OR = 1.71~4.09, 95% 신뢰구간 = 1.36~5.91), 대부분 그 효과크기는 작음(small, Cohen’s d = .30)에서 높음(large, Cohen’s d = .78) 수준을 나타냈다. 따라서 RFM은 체질량지수, 허리둘레에 비해 심혈관질환 위험요인의 유병률을 예측하는데 더 효과적인 비만측정도구로 사용될 수 있을 것이다. This study was conducted to verify the construct-related validity of cardiovascular disease risk factors by comparing the obesity measurement tool relative fac mass(RFM) with the body mass index(BMI) and waist circumference(WC). This study analyzed a total of 3,901 adult men and women aged 20 or older using raw data from the Korean National Health and Nutrition Examination Survey in 2020. To verify the construct-related validity of RFM, the effects of BMI and WC on hypertension, type 2 diabetes and dyslipidemia was analyzed. For the analysis, binary logistic regression analysis was performed using the SPSS Ver. 20 statistical program. As a result, the Pearson Correlation Coefficient of RFM and cardiovascular disease risk factors showed a relationship level between weak(r= .2) to moderate(r= .4) and it showed statistical significance. Also, most effect sizes showed medium(medium, Cohens d = .40) to large(large, Cohens d = .87) levels. In addition, as a result of analyzing the prevalence of obesity measurement tools and cardiovascular disease risk factors, it was statistically significant(odds ratio, OR = 1.71 to 4.09, 95% confidence interval = 1.36 to 5.91), and most effect sizes showed small(small, Cohens d = .30) to large(large, Cohens d = .78). Therefore, RFM is expected to be used as an obese measurement tool that is more effective in predicting the prevalence of cardiovascular disease risk factors than BMI and WC.

의사결정나무 분석을 이용한 체지방률 추정모형 개발

문준배 ( Junbae Mun ),김헌태 ( Heontae Kim ),류승호 ( Seungho Ryu ),강민수 ( Minsoo Kang ) 한국체육학회 2016 한국체육학회지 Vol.55 No.5

체지방률을 추정하는 방법으로 체지방률 추정모형이 널리 사용되고 있다. 그러나 대부분의 체지방률 추정모형은 복잡한 추정식을 포함하고 있어 일상생활에서 사용하기가 쉽지 않다. 따라서, 본 연구의 목적은 의사결정나무 분석방법을 이용하여 누구나 쉽게 사용할 수 있는 체지방률 추정모형을 개발 및 검증하는 것이었다. 이를 위해 국민건강영양조사 2009년도 데이터(n = 7,161)를 추정모형 개발을 위한 데이터(80%)와 검증을 위한 데이터(20%)로 나누었다. 개발 단계에서 이중에너지 방사선 측정법(DEXA)으로 측정된 체지방률과 인체계측치 및 건강관련 행태 변인을 이용하여 다수의 추정모형을 개발하였고, 그중 가장 간결하고 낮은 추정 위험도를 가진 모형을 선택하였다. 선택된 추정모형의 정확성은 R²과 평균 제곱근 오차(RMSE)에 의해 평가되었다. 선택된 추정모형은 4개의 변인(성별, BMI, 허리둘레, 나이)을 포함하였고, 총 21개의 끝마디와 5단계 깊이를 가졌다(추정 위험도 = 13.98). 검증 단계에서 추정된 체지방률은 DEXA에 의해 측정된 체지방률과 비교시 73%의 설명력과 4.03%의 평균 제곱근 오차를 보였다. 개발된 체지방률 추정모형은 기존의 회귀분석을 바탕으로 개발된 추정모형들과 비교시 대등하거나 높은 정확성을 보였을 뿐만 아니라 복잡한 계산 없이 나무구조로 모형화된 순서도를 따라 매우 쉽게 체지방률을 추정할 수 있었다. Body fat percentage(BF%) prediction models have been widely used; however, most of the prediction models rely on complex equations that may be impractical for everyday use. Therefore, decision tree(DT) analysis was applied to develop a user-friendly model to estimate BF%. Data(age ≥ 19 years; n = 7,161) from the 2009 Korean National Health and Nutrition Examination Survey (KNHANES) were divided into 80% training and 20% testing splits. Multiple DTs were constructed using dual-energy x-ray absorptiometry(DEXA) measured BF% and anthropometrics and demographics variables in training split. A parsimony DT with the lowest risk estimate was selected. The accuracy of the chosen DT was evaluated by R² and root mean square error(RMSE) against BF% measured by DEXA in testing split. The best model for estimation of BF% was a DT consisting of 5 levels and 4 predictors(risk estimate = 13.98; # of terminal nodes = 21). BF% estimated by the DT accounted for 73% of the variation in criterion-measured BF% with a RMSE of 4.03%. The new model using DT analysis to estimate BF% had moderate R² and small RMSE in a national representative sample of Korean adults. In addition, BF% can be estimated much easier by following the DT map (i.e., flowchart) compared with other equation models.

군 체력검정 중 심폐지구력 평가방법 간의 관련성

문준배(Mun, Jun-Bae),최영환(Choi, Youn-Hwan),김재우(Kim, Jae-Woo),성호용(Sung, Ho-Yong),김경배(Kim, Kyoung-Bae) 한국체육과학회 2021 한국체육과학회지 Vol.30 No.3

Soldiers are always required to improve and maintain their physical fitness. Thus, military conducts physical fitness tests periodically to evaluate soldiers" fitness level. The purpose of this study was to analyze the relationship between various methods of measuring cardiorespiratory endurance, and to provide an estimation equation and conversion table for comparison between each tests. Subjects of this study were 305 cadets who attended basic military training. Cardiorespiratory endurance was measured by 3km running, 1.5km(1.2km for women) running, and 20m SR(shuttle run) test. The results showed a significant correlation between them, and estimation equations were developed. In addition, a conversion table between the tests was provided for people who are not familiar with statistical methods. As the results of this study provide a useful tool comparing among cardiopulmonary endurance military and non-military data, this study could contribute to development of the related academic field.

Geopier(짧은 쇄석다짐말뚝) 공법

정선태,문준배 한국지반공학회 2004 지반 : 한국지반공학회지 Vol.20 No.11

Development and Cross-Validation of Equation for Estimating Percent Body Fat of Korean Adults According to Body Mass Index

성호용,문준배 대한비만학회 2017 The Korean journal of obesity Vol.26 No.2

Background: Using BMI as an independent variable is the easiest way to estimate percent body fat. Thus far, few studies have investigated the development and cross-validation of an equation for estimating the percent body fat of Korean adults according to the BMI. The goals of this study were the development and cross-validation of an equation for estimating the percent fat of representative Korean adults using the BMI. Methods: Samples were obtained from the Korea National Health and Nutrition Examination Survey between 2008 and 2011. The samples from 2008-2009 and 2010-2011 were labeled as the validation group (n=10,624) and the cross-validation group (n=8,291), respectively. The percent fat was measured using dual-energy X-ray absorptiometry, and the body mass index, gender, and age were included as independent variables to estimate the measured percent fat. The coefficient of determination (R2), standard error of estimation (SEE), and total error (TE) were calculated to examine the accuracy of the developed equation. Results: The cross-validated R2 was 0.731 for Model 1 and 0.735 for Model 2. The SEE was 3.978 for Model 1 and 3.951 for Model 2. The equations developed in this study are more accurate for estimating percent fat of the cross-validation group than those previously published by other researchers. Conclusion: The newly developed equations are comparatively accurate for the estimation of the percent fat of Korean adults.

스마트워치 기반 최대산소섭취량 측정 알고리즘 개발 예비연구: 사관생도를 대상으로

조원제,문준배,강원구 한국웰니스학회 2022 한국웰니스학회지 Vol.17 No.3

This study was conducted to develop a function that allows individuals to easily measure maximum oxygen uptake through a smartwatch in the field. For this experiment, Samsung Galaxy Active2 smartwatch which is commonly used model is equipped with a maximum oxygen uptake measurement function. In order to compare and analyze the developed smartwatch function, an experiment was conducted on 20 adult men and women in their 20s. First of all, a 3 km running test was conducted to verify the GPS function. As exercise methods for measuring maximum oxygen uptake, 12 minute running and 1-mile walking test were conducted. In order to verify the reliability of the GPS function, the actual running time after 3 km running and the time recorded through the smartwatch were compared and analyzed. In order to verify the reliability of the maximum oxygen uptake measurement, the maximum oxygen uptake result values obtained through the grade exercise test(GXT) and smartwatch was compared after 12 minutes running and 1-mile walking. As a result, in the 3 km running experiment, there was no statistically significant difference between the two result values, and the validity was 0.75. Also, there was no statistically significant difference between the result value measured through GXT and the result value of the maximum oxygen uptake measured through the smartwatch, and the validity was 0.91 for 12 minute running and 0.90 for 1-mile walking. Therefore, it was found that the smartwatch's maximum oxygen intake measurement function developed for people in their 20s was reliable. 이 연구는 최대산소섭취량을 측정하기 위한 간접적 추정방법을 스마트워치 알고리즘으로 개발하여 현장에서 개인 스스로 쉽게 측정하기 위해 시도하였다. 스마트워치 기능을 개발하기 위해 일반적으로 사용하고 있는 삼성 겔럭시 엑티브 2 스마트워치에 최대산소섭취량 간접측정방법을 알고리즘으로 개발하였다. 최대산소섭취량 측정방법은 가장 신뢰도가 높은 12분 달리기와 1-mile 걷기 방법으로 선정하였다. 개발된 스마트워치 기능을 비교분석하기 위해 20대 성인 남녀 20명을 대상으로 3km 달리기, 12분 달리기, 1-mile 걷기를 측정하였다. 우선 스마트워치 GPS센서의 신뢰도를 검증하기 위해 3km 달리기는 실제 달린 거리와 개발한 스마트워치를 통해 3km를 달린거리에 대한 시간을 비교분석하였고, 최대산소섭취량의 방법에 대한 신뢰도를 검증하기 위해 운동부하검사를 통해 얻은 최대산소섭취량과 스마트워치 알고리즘으로 구현된 12분 달리기와 1-mile 걷기 후 얻은 최대산소섭취량을 비교분석하였다. 그 결과 3km 달리기는 기록에서 통계적 유의한 차이가 나타나지 않았고, 타당도는 0.75로 나타났다. 운동부하검사와 스마트워치를 이용해 12분 달리기, 1-mile 걷기를 실시하여 얻은 최대산소섭취량은 통계적 유의한 차이가 나타나지 않았고 타당도는 12분달리기 0.91, 1-mile 걷기는 0.90으로 나타났다. 따라서 20대 젊은 성인에게 이 최대산소섭취량 측정 스마트워치 알고리즘은 도입이 가능할 것이다.

DCM공법(Deep Cement Mixing Method)의 설계와 환경

정경환,문준배,신민식,황정순 한국지반환경공학회 2006 지반환경 Vol.7 No.4

군 체력요인에 관한 기초 연구

김경배,문준배,김건효 육군사관학교 화랑대연구소 2009 한국군사학논집 Vol.65 No.2

The importance of physical fitness in the military is unquestionable. There is limited scientific knowledge, however, as to which components of fitness are most important and how they should be measured. The purpose of this paper is to identify criterion military task performance and to determine which fitness components are required to perform these tasks, in additional, to provide analysis of fitness assessment methods performed in the military. The criterion tasks which are represented in common military were identified as single lift, repetitive lift, carry, and loaded march. The fitness components related to the representative military task performance were included as aerobic and anaerobic capacities, muscular strength and endurance, and body composition. It was one of significant results that muscular strength and endurance are important for criterion military task performance as well as aerobic capacity. Performance of physically demanding military tasks has high correlation with the absolute measures of physical performance while a fitness test is rather related to relative one. Therefore, there exist body mass bias that shows the tendency to reward the better performers on the fitness test in the military and penalize the better performers of physically demanding military tasks. Fitness test in the military should consider body mass bias and lean body mass.

한글판 국제신체활동설문(IPAQ)의 타당성 연구: 구인관련 타당도 검증

김헌태(HeontaeKim),문준배(JunbaeMun),류승호(SeunghoRyu),강민수(MinsooKang) 한국체육학회 2017 한국체육학회지 Vol.56 No.2

본 연구는 국민건강영양조사(2010-2012) 자료(n=12,943)를 이용하여 한글판 국제신체활동설문에 의해서 측정된 신체활동수준과 건강관련 변인들간의 관계를 검증함으로써 한글판 국제신체활동설문 문항의 구인관련 타당도 증거를 제시하는데 목적이 있다. 총 신체활동 수준과 건강관련 변인들(체질량지수, 허리둘레, 수축기/이완기 혈압, 공복시 혈당, 총 콜레스테롤, HDL콜레스테롤)간의 관계를 검사하기 위해 피어슨 상관분석과 로지스틱 회귀분석이 이용되었다. 표본선정방법을 고려한 복합표본설계 자료분석방법을 이용하기 위해 SAS(v9.3) SURVEYMEANS와 SURVEYLOGISTIC 절차가 사용되었다. 피어슨 상관분석 결과, 신체활동과 건강관련 변인들간의 연관성은 없었다(|r|=.023-.076). 로지스틱 회귀분석 결과에서는 남성의 경우 비만, 고혈압, 당뇨병, 고콜레스테롤혈증의 유병율은 신체활동 수준과 관련이 없었고, 여성의 경우 비만, 고혈압, 저HDL콜레스테롤혈증의 유병율은 신체활동 수준과 관련이 없었다. 즉, 신체활동이 증가할수록 유병율이 감소한다는 선행 연구들의 결과와 상반된 결과를 보여주었다. 이는 한글판 국제신체활동설문이 신체활동을 측정하는데 있어 타당하지 않다는 증거를 제시한다. The purpose of this study is to examine the validity of the Korean version of the International Physical Activity Questionnaire (K-IPAQ) by establishing the relationship between the level of physical activity (PA) measured by the K-IPAQ and the health-related variables using the 2010-2012 Korean National Health and Nutrition Examination Survey data (n=12,943). Pearson correlation and logistic regression analysis were used to examine the relationship between PA and health-related variables (e.g., body mass index, waist circumference, systolic / diastolic blood pressure, fasting blood glucose, total cholesterol, and HDL cholesterol). SAS (v9.3) SURVEYMEANS and SURVEYLOGISTIC procedure were used for all analyzes to account the complex-sampling design in this study. Pearson correlation analysis showed no association between PA and health-related variables (|r|=.023-.076). In the logistic regression analysis, there is no relationship between PA, and obesity, hypertension, diabetes and hypercholesterolemia. Our results are contrary to the results of previous studies. This shows that the K-IPAQ might not be valid for measuring PA.