Predicting VO<sub>2</sub>max 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

Predicting VO<sub>2</sub>max 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

Background: The aim of this study is to use different regression models to capture the association between cardiorespiratory fitness VO<sub>2</sub>max (measured in mL/kg/min) and somatometric characteristics and sports activities and making better predictions. Methods: multiple linear re...

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Bibliographic Details
Main Authors: Vilelmine Carayanni, Gregory C. Bogdanis, Elpis Vlachopapadopoulou, Dimitra Koutsouki, Yannis Manios, Feneli Karachaliou, Theodora Psaltopoulou, Stefanos Michalacos
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Children
Subjects:
children
adolescents
VO<sub>2</sub>max
multiple linear regression
machine learning
body mass Index (BMI) category
Online Access:https://www.mdpi.com/2227-9067/9/12/1935

Internet

https://www.mdpi.com/2227-9067/9/12/1935

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