성인 여성의 최대하 운동 대사반응과 신체변인을 이용한 최대산소섭취량 추정 모형 개발 및 타당도 검증
Estimation Development and Validity for Maximal Oxygen Consumption based on Submaximal Exercise Responses and Body Index Variables for Adult Women
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초록
[목적] 본 연구의 목적은 최대하 운동 중 반응과 신체 변인을 이용한 성인 여성의 최대산소섭취량을 추정 모형을 개발하고 타당도를 검증하는데 있다. [방법] 성인 여성 370명을 대상으로 추정집단(n=270)과 타당도 검증집단(n=100)으로 나누었다. 추정집단을 대상으로 다중회귀분석을 실시하여 도출된 추정모형을 타당도 집단을 통해 검증하였다. 추정모형의 투입변수는 신체변인과 Bruce treadmill protocol의 3분과 6분 시점에 나타난 대사변인이다. 이 중 추정모형에 선택된 변인은 HR 170에 이르는 시간, 나이, 6분 O2, 체중, 6분 CO2, 3분 O2, 6분 심박수이다. [결과] 모형1은 O2max = 36.630 + 0.019*(HR 170) - 0.076*(나이) + 0.017*(6분 O2) - 0.371*(체중) - 0.008*(6분 CO2) + 0.005*(3분 O2) - 0.046*(6분HR), 모형2는 O2max = 27.076 + 0.025*(HR 170) - 0.072*(나이) + 0.017*(6분 O2) - 0.361*(체중) - 0.009*(6분 CO2) + 0.005*(3분 O2)이다. 모형3은 O2max = 27.166 + 0.024*(HR 170) - 0.063*(나이) + 0.019*(6분 O2) - 0.323*(체중) - 0.009*(6분 CO2), 모형4는 O2max = 25.711 + 0.031*(HR 170) - 0.101*(나이) + 0.013*(6분 O2) - 0.403*(체중)이다. 4개 모형 모두 높은 R값(R=0.77~0.82, p<.01)과 양호한 SEE(±2.8~±3.1ml/kg/min) 및 SEE%(8.5~9.5, p<.01)가 나타났고 다중공선성이 나타나지 않았다. 타당도 검증 결과, 4개 모형에서 측정된 O2max와 추정된 O2max 간에 유의한 상관관계가 나타났고(r=0.66~0.76, p<.01), %error(-9.71~11.17), %TE(2.8~3.3)도 매우 낮게 나타나, 정확도와 타당도 측면에서 양호하다고 하겠다. [결론] 성인 여성을 대상으로 최대하운동 중 대사반응과 신체변인을 이용하여 양호한 최대산소섭취량 추정 공식을 개발하였고, 교차 타당도를 검증한 결과 양호한 공식으로 나타났다. 따라서 본 연구의 추정모형들은 운동처방이 이루어지고 있는 현장, 보건소나 연구소 등에서 활용이 가능하다.
Abstract
[PURPOSE] The purpose of this study is to develop estimation for maximal oxygen consumption based on submaximal exercise responses and body index variables for adult woman, and to verify prediction model based on verification group. [METHODS] The subjects are consisted of 370 woman aged from 20’s to 50’s, and we separated them into sample group(n=270) and cross-validation group(n=100). The estimation models were developed from multiple regression analysis to the prediction group, and verified it with cross-validation group. The prediction group’s input variables were body indexes and metabolic variables measured at 3 minute and 6 minute of Bruce treadmill protocol. [RESULTS] Model 1 was O2max = 36.630 + 0.0198*(HR170) - 0.076*(age) + 0.017*(6min O2) - 0.371*(weight) - 0.008*(6min CO2) + 0.005*(3min O2) - 0.046*(6min HR), model 2 was O2max = 27.076 + 0.025*(HR 170) - 0.072*(age) + 0.017*(6min O2) - 0.361*(weight) - 0.009*(6min CO2) + 0.005*(3min O2), model 3 was O2max = 27.166 + 0.024*(HR 170) - 0.063*(age) + 0.019*(6min O2) - 0.323*(weight) - 0.009*(6min CO2), model 4 was O2max = 25.711 + 0.031*(HR 170) - 0.101*(age) + 0.013*(6min O2) - 0.403*(weight). All 4 models had high R value(R=0.77~0.82, p<.01), low SEE,(±2.8~±3.1), and SEE%(8.5~9.5, p<.01). Also, they did not show multicolinearity. From Cross-validation, there were significant correlation between predicted and measured O2max((R=0.66~0.76, p<.01). In addition, both %error(-9.71~11.17) and %TE(2.8~3.3) were very low, confirming its accuracy and validity. [CONCLUSION] O2max estimation 4 models for adult woman were developed based on submaximal exercise responses and body index variables. As a result of verification, these model show valuable cross-validation. The models from this study can be effectively utilized in exercise prescription field, and in any hospitals that can conduct graded exercise tests.
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