Research On The Regression Equation For The Prediction Of Maximal Oxygen Consumption In Adolescent

OBJECTIVE: The maximum oxygen uptake is an important index for the evaluation of cardiopulmonary function.The evaluation of cardiopulmonary function plays an important role in the evaluation of adolescent physical health.Adolescents are in development period.Their physical health problems have become important issues in national research.In the past,the study of the maximum oxygen uptake in the majority of studies involving maximal oxygen uptake and the estimation of the maximal oxygen uptake equation in the elderly.There is little research on the regression equation for estimating the maximum oxygen uptake equation by direct testing,especially for the maximum oxygen uptake equation for adolescents.Therefore,based on some previous research results,this study chooses the direct test method of power bike to establish the regression equation of maximal oxygen uptake,in order to establish a scientific and simple evaluation of adolescent cardiopulmonary function provide the basis for adolescent physical assessment and scientific fitness to provide a theoretical basis.METHODS: A total of 200 young people aged 12-14 were selected in this study.The study was divided into two parts.In the first stage,200 subjects were measured by static parameters such as height and weight.The load test was carried out on the power vehicle and the maximal oxygen uptake and maximal heart rate were measured by gas analysis,Descriptive statistics of these indicators.And then the weight of the subjects was randomly selected.The regression equation of the maximal oxygen uptake was established by adding the sex,age,height,weight and body mass index as independent variables.In the second stage,the remaining 50 subjects were set up as a test group to test the predictive effect of the assessment model.RESULTS:(1)The correlation between the maximum oxygen uptake and the age,sex and the measured static index and the quiet heart rate,exhaustive heart rate,maximum heart rate and load of the incremental load were analyzed.The gender,age,height,weight,and the correlation coefficient between body weight index and quiet heart rate,exhaustive heart rate,maximal heart rate,load volume and maximal oxygen uptake were gender r = 0.492(p < 0.01),age r = 0.211(p = 0.01),height r = 0.591(p <0.01),body weight r = 0.662(p <0.01),body mass index r = 0.488(p <0.01),quiet heart rate r= 0.013(p> 0.05)(P <0.01),the heart rate of exhaustive heart rate r=0.198(p<0.05),the maximum heart rate r = 0.240(p <0.01),the load r = 0.754(p <0.01),which leads to gender,age,height,weight,body mass index,The maximum heart rate,the load associated with the maximum oxygen uptake is highly significant.(2)Select the maximum oxygen uptake as the dependent variable,sex,age,height,weight,body mass index,exhaustive heart rate,maximum heart rate,load as independent variables,stepwise regression analysis,the results in these indicators,Weight,body mass index,maximum heart rate and load were entered into the regression equation,and the regression model of maximum oxygen uptake was estimated.(3)The correlation coefficient between the measured value and the predicted value of the maximum oxygen uptake test was 0.983,and the significance level is less than 0.01,which is obviously less than 0,and the correlation was significant,indicating that there was a significant correlation between the two.CONCLUSION: the regression equation of the maximum oxygen uptake was established in this paper as follows:Maximum oxygen uptake =-0.784 + 0.009 * load + 0.021 * body weight + 0.229 *gender + 0.004 * maximum heart rate +(-0.027)* BMI(R = 0.884,R2= 0.781,SEE = 0.205,gender is indicated by the code: male = 0,female= 1)The equation estimates the maximum oxygen uptake effect,and has a good application prospect.