Abstract
To investigate the important index of maximum oxygen uptake in evaluating cardiopulmonary function and to provide a basis for the evaluation of cardiopulmonary function for adolescents, a total of 200 healthy adolescents aged 12–14 were selected, and these 200 subjects were randomly assigned to the modeling group and the test group. In the first stage, data of 150 subjects were randomly selected, and the regression equation for VO2max was established by adding independent variables such as gender, age, height, weight, body mass index, and resting heart rate. In the second stage, the remaining 50 subjects were selected as the test group to test and evaluate the prediction effect of the prediction model. The results showed that the correlation coefficient between the measured value of maximal oxygen uptake and the predicted value was 0.983, and the significance level was 0.000, which was significantly lower than 0.01 correlation, indicating that there was an obvious concomitant relationship between the two values. The maximum oxygen uptake calculated by this equation is good and has a good application prospect.
Highlights
As there are many influencing factors and related indicators of maximal oxygen uptake, the regression equation of maximal oxygen uptake is different for different groups [4]
Methods: twenty-two female participants were divided into two groups, an intervention that did not receive an intervention and a control HIIT group. e medical history of each participant interviewed was collected and recorded, and medical parameters including cardioankle vascular index (CAVI), flow-mediated dilation (FMD), and maximum oxygen consumption (VO2MAX) were used as baseline predictors. e intervention was a cyclic HIIT lasting 6 weeks with three sessions per week
Results: after 6 weeks of Journal of Healthcare Engineering intervention, the results showed that CAVI (6.39 ± 0.76 vs. 5.91 ± 0.58), FMD (9.26 ± 6.5 vs. 14.01 ± 4.3%), and VO2max (20.10 ± 4.31 vs. 24.34 ± 5.71 mL/kg/min) were compared with the predictive test (P < 0.05)
Summary
With the improvement of social living standards, most social groups spend their time on making money and lack physical exercise, especially teenagers who lack exercise or spend enough time on exercise, resulting in unhealthy health [1]. E main performance is in the following points: the overall level of teenagers has been greatly improved, but their physical quality is constantly declining. These physical impairments are seriously affecting their health. Ere are many studies on predicting the regression equation of maximal oxygen uptake. By measuring some relevant indexes of subjects through simple tests, the regression equation model that can directly calculate maximal oxygen uptake can be deduced, which is simple and easy to use [5]. This paper proposes a study on maximal oxygen uptake of respiration and heart rate during exercise training based on regression equation. Choose vo Max as the dependent variable, gender, age, height, weight, body mass index (bmi), exhausted heart rate, maximum heart rate, load as the independent variable, stepwise regression analysis, the results in these indicators, sex, weight, body mass index, and maximum heart rate, load five indicators into the regression equation, and infer teenagers’ VO2 Max regression model. e maximum oxygen uptake calculated by this equation is good and has a good application prospect
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