필드검사를 이용한 무도선수들의 무산소성 파워 예측의 교차타당도 검증
The Cross-validation for Estimation of Anaerobic Power Required for Martial Arts Players on the Basis of Field Test
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본 연구는 무도종목 선수들에게 필요한 무산소성 파워를 예측하기 위하여 필드검사를 이용하여 무산소성 파워를 예측을 위한 회귀식을 개발하고 교차타당성도를 검증하여 무도선수들의 경기력 향상을 위한 기초자료를 제공하는데 목적이 있다. 연구의 대상자는 H대와 Y대에 소속된 태권도, 합기도 전공자들로 20대 초반의 남자70명을 대상으로 하였다. 대상자 중 40명은 추정식 개발을 위한 집단, 나머지 30명은 개발된 추정식의 타당도를 검증하기 위한 집단으로 각각 분류하였다. 본 연구의 자료처리는 SPSS 12.0 Program을 이용하여 모든 자료의 평균과 표준편차를 산출하였다. peak power와 mean power 예측을 위한 회귀식 개발을 위해 stepwise 방법을 활용하여 다중회귀분석 실시하였으며, 이때 독립변인으로 나이, 신장, 체중, 근육량, 체지방량, 체지방율, 제지방량, 수직점프, 제자리 넓이뛰기, 30m달리기, 50m달리기를 사용하였고, 종속변인으로 Peak Power 와 Mean Power를 사용하였다. 또한 개발된 회귀식의 타당성을 확인하기위해 Bland & Altman plot을 이용하여 차이값의 평균과 95%신뢰구간 내에서의 오차율을 검증하였다. 타당성을 검증하기 위하여 윈게이트 검사에 의한 결과와 추정식에 의한 결과의 차이를 알아 보기위해 paired t-test를 이용하였다. 이와 같은 과정을 거처 Ppeak(W) = －1027.210 ＋〔17.054×제지방량(kg)〕＋〔20.191×수직점프높이(cm)〕, Pmean(W) = -46.499 ＋〔6.861×체중(kg)〕＋〔5.145×수직점프높이(cm)〕의 회귀식을 개발하였으며, 타당도가 높은 것으로 나타났다.
Abstract
In order to estimate anaerobic power required for martial arts players, this study used field test to develop regression equation for such estimation of anaerobic power and verify the cross-validation of said equation, so that it could provide reference materials for better performance of martial arts players. To meet the above goals, total 70 young adult men in early 20's were selected as subjects hereof from undergraduates who majored in the martial course of Taekwondo and Hapkido in H University and Y University. Out of them, 40 subjects were classified into a group for developing equation of estimation, while other 30 subjects were classified into another group for verifying the cross-validation of said equation. In this study, all data were processed using SPSS 12.0 program to calculate mean and standard deviation. In order to develop a regression equation to estimate peak power and mean power, this study adopted stepwise approach for multiple regression analysis, where it used different independent variables such as age, height, weight, muscle mass (MM), body fat mass (BFM), percent body fat (PBF), lean body mass (LBM), vertical jump height, standing broad jump width, and 30-meter and 50-meter running records, as well as dependent variables like peak power and mean power. In addition, this study used Bland & Altman plot to calculate the mean of difference and verify error rate within 95% confidence interval, so that it could verify cross-validation of developed regression equation. And this study also used paired t-test to determine possible differences between the results of Wingate test and those of estimation equation for cross-validation. As a result, this study could develop the following regression equation: Ppeak(W) = -1027.210 + 〔17.054 × LBM(kg)〕＋〔20.191 × vertical jump height (cm)〕, Pmean(W) = -46.499 ＋〔6.861 × weight (kg)〕＋〔5.145 × vertical jump height (cm)〕. It was found that said equation had high validity.
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