Predicting VO 2 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.

Vilelmine CarayanniGregory C BogdanisElpis VlachopapadopoulouDimitra KoutsoukiYannis ManiosFeneli KarachaliouTheodora PsaltopoulouStefanos Michalacos

Published in: Children (Basel, Switzerland) (2022)

The MLR model showed remarkable performance against all other models and was competitive with the SVR models. In addition, this study's data showed that changes in cardiorespiratory fitness were dependent, to a different extent based on gender, on BMI category, weight, height, age, and participation in some organized sports activities. Predictors that are not considered modifiable, such as gender, can be used to guide targeted interventions and policies.

Keyphrases

physical activity
body mass index
mental health
public health
weight gain
cancer therapy
risk factors
deep learning
body weight