성인 남녀의 신체변인을 이용한 O2max 추정 모형 개발 및 타당도 검증
Development of O2max Estimation and Validity Based on Body Index Variables for Adults
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[서론] 본 연구의 목적은 성별, 나이, 체중, 키, BMI, 안정 시 심박수 등의 신체변인 등을 투입하여 O2max 추정식을 개발하고, 검증집단을 대상으로 하여 추정식의 타당도를 검증하는 데 있다. [방법] 18∼60세 남, 여 837명을 대상으로 추정집단(n=649)과 타당도 검증집단(n=188)으로 나누어 Bruce protocol을 이용하여 최대 운동부하검사를 실시하였다. 추정집단을 대상으로 신체변인을 투입변인으로 하여 단계적 선택법을 이용한 다중회귀분석을 실시하였다. 검증집단을 이용하여 추정식의 교차 타당도를 검증하였다. [결과] 성별, 나이, 체중, 키, BMI, 안정 시 심박수 등의 변수를 투입하였으나, 그 중에서 성별, 나이, 체중, 키 등의 변수만이 투입변수로 선택되었다. 2개의 모형이 개발되었으며 모두 양호한 r값(0.66, 0.68, p<.01), 낮은 SEE%(14.32, 14.59, p<.01), 낮은 %TE(5.89, 5.99, p<.01)를 보였다. 또한 2개 모형 모두 다중공선성이 나타나지 않았다. 모형 1은 O2max(ml/kg/min) = 27.703 - 7.423 * (성별) - 0.067 * (나이) - 0.232 * (체중) + 0.221 * (키)이고, 모형 2는 O2max(ml/kg/min) = 64.543 - 9.397 * (성별) - 0.110 * (나이) - 0.167 * (체중)이다. 타당도 검증 결과에서도 2개 모형에서 측정된 O2max와 추정된 O2max 간에 유의한 상관관계가 나타났고(r=0.56, 0.58, p<.01), 평균차 검증에서도 유의한 차이가 나타나지 않았으며(p=0.443, p=0.847). %error(-18.8∼12.2)와 %TE(5.89, 5.99, p<.01)도 매우 낮게 나타났다. [결론] 한국인 성인을 대상으로 신체변인을 이용하여 양호한 최대산소섭취량 추정 공식을 개발하였고, 교차 타당도를 검증한 결과 양호한 공식으로 나타났다. 향후에는 신체변인 이외에 설문지 등의 간편한 방법을 포함하여 추정 정확도가 더 높은 방법을 개발할 필요가 있겠다.
Abstract
[INTRODUCTION] The purpose of this study is to develop O2max estimation model with body index variables such as gender, age, weight, height, BMI, and resting HR, and to verify prediction model bases on verification group. [METHOD] The subjects are consisted of 837 male and female subjects aged from 18 to 60, and they were separated into two groups randomly: 649 for sample group and 188 for cross-validation group. They went through maximal exercise testing using Bruce protocol and we ran applied multiple regression analysis to the sample group. [RESULT] Estimation prediction initially used gender, age, weight, height, BMI, and resting heart rate as independent variable, but only gender, age, weight, and height were chosen to be input variables. As the result, 2 models were developed, and both of them had good r value(0.66, 0.68, p<.01), low SEE%(14.32, 14.59, P<.01), and low %TE(5.89, 5.99, p<.01). In addition, multicolinearity didn't show on 2 models. Model 1 was O2max(ml/kg/min) = 27.703 - 7.423 * (gender) - 0.067 * (age) - 0.232 * (weight) + 0.221 * (height). Model 2 was O2 max(ml/kg/min) = 64.543 - 9.397 * (gender) - 0.110 * (age) - 0.167 * (weight). For 2 models, Cross-validation also showed correlation between predicted and measured O2max(r=0.56, 0.58, p<.01), and there was no significant difference(p=0.443, p=0.847) with very low %error(-18.8~12.2) and %TE(5.89, 5.99, p<.01). [CONCLUSION] O2max estimation 2 model for adults were developed based on body index variables. As a result of verification, these model show valuable cross-validation. In the future studies, the higher prediction power model with questionnaire or convenient scientific methods should be developed.
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