Population and Age-Based Cardiorespiratory Fitness Level Investigation and Automatic Prediction

Frontiers in Cardiovascular Medicine

Liangliang Xiang¹  Qichang Mei¹  Yaodong Gu¹  Justin Fernandez²  Alan Wang³  Kaili Deng⁵  Tao Yang⁶  Zixiang Gao⁶ 

[1] Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand;Department of Engineering Science, The University of Auckland, Auckland, New Zealand;Faculty of Medicine and Health Sciences, The University of Auckland, Auckland, New Zealand;Faculty of Sports Science, Ningbo University, Ningbo, China;Medical School, Ningbo University, Ningbo, China;Research Academy of Grand Health, Ningbo University, Ningbo, China;

关键词: physical activity;    aerobic capacity;    cardiorespiratory fitness;    maximal oxygen consumption (VO2max);    machine learning;    support vector machine (SVM);   

DOI  :  10.3389/fcvm.2021.758589

来源: DOAJ

【 摘 要 】

Maximal oxygen consumption (VO2max) reflects aerobic capacity and is crucial for assessing cardiorespiratory fitness and physical activity level. The purpose of this study was to classify and predict the population-based cardiorespiratory fitness based on anthropometric parameters, workload, and steady-state heart rate (HR) of the submaximal exercise test. Five hundred and seventeen participants were recruited into this study. This study initially classified aerobic capacity followed by VO2max predicted using an ordinary least squares regression model with measured VO2max from a submaximal cycle test as ground truth. Furthermore, we predicted VO2max in the age ranges 21–40 and above 40. For the support vector classification model, the test accuracy was 75%. The ordinary least squares regression model showed the coefficient of determination (R2) between measured and predicted VO2max was 0.83, mean absolute error (MAE) and root mean square error (RMSE) were 3.12 and 4.24 ml/kg/min, respectively. R2 in the age 21–40 and above 40 groups were 0.85 and 0.75, respectively. In conclusion, this study provides a practical protocol for estimating cardiorespiratory fitness of an individual in large populations. An applicable submaximal test for population-based cohorts could evaluate physical activity levels and provide exercise recommendations.

【 授权许可】

Unknown