New prediction models for the maximal oxygen uptake of collegeaged students using non-exercise data

Abstract

Maximal oxygen uptake (VO2max) refers to the maximal amount of oxygen that an individual can utilize during intense or maximal exercise. VO2max plays a significant role in sport science, education and research. The direct measurement of VO2max is time-consuming, requires expensive laboratory equipment and trained staff. Because of these disadvantages of direct measurement, numerous VO2max prediction models for a variety of subject groups have been developed. The purpose of this study is to develop new Multiple Linear Regression based on VO2max prediction models for Turkish college students by using physiological and questionnaire variables. The dataset includes the data of 62 (28 females and 34 males) students, ranging in age from 18 to 27 years, from the College of Physical Education and Sports Science at Gazi University. Seven different models consisting of the predictor variables gender, age, weight, height, Perceived Functional Ability scores (PFA-1 and PFA-2), and Physical Activity Rating score (PA-R) have been used to predict VO2max. The performance of the prediction models has been evaluated by calculating their standard error of estimates (SEE's) and multiple correlation coefficients (R's). The prediction model including Gender, Age, Height, Weight, PFA-1 and PAR yields the lowest SEE with 5.14 mL.kg-1.min-1 and highest R with 0.93. It can be concluded that in situations where it is difficult to measure VO2max, the given model with MLR equation can be used to predict the VO2max of college students with acceptable error rates.

Predicting VO2max in Children and Adolescents Aged between 6 and 17 Using Physiological Characteristics and Participation in Sport Activities: A Cross-Sectional Study Comparing Different Regression Models Stratified by Gender

“…Height and weight were significant predictors of VO 2 max in both sexes and these findings were consistent with those of other studies [ 1 , 28 , 29 , 30 , 31 , 32 , 34 ]. Increased BMI seemed to be a crucially important risk factor for decreased levels of cardiorespiratory fitness in all statistical models that were attempted in this study, and this finding is also supported by other studies.…”

“…Here, Y is the dependent variable, and X 1 ,…,X n are the n independent variables. Several studies in the field have used MLR to model and predict VO 2 max [ 29 , 30 , 31 , 32 ].…”

“…For boosting RT (RT), the start number of trees of the model was adjusted to 1 and the number of the trees was iteratively increased by 1 until a maximum number of 1000 was reached. The split was based on the sums of squares (minimum size node to split: [ 2 , 30 ], depth of individual trees: [ 5 , 20 ]. The optimal number of the trees was identified when the value of the pseudo-residuals was minimal, based on the complexity parameter.…”

“…Previous observational studies in children and adolescents have reported higher VO 2 max in boys than in girls [ 26 , 27 , 28 ]. In addition, many studies have indicated that height and weight are significant predictors of VO 2 max [ 29 , 30 , 31 , 32 , 33 ]. To our knowledge, there is limited information about the differences between boys and girls, or between children and adolescents, in terms of BMI categories, sports activities, ages, and parental BMI.…”