Prediction Model for Physical Activity Level in Primary School Students

Author:

Alvariñas-Villaverde MyriamORCID,Martínez-Torres JavierORCID,Toja-Reboredo Belén,González-Valeiro MiguelORCID

Abstract

The aim of this study was to provide an explanatory prediction model for physical activity level in children, involving a number of influencing variables. In total, 1971 people participated in the study: 657 primary school students and their respective fathers and mothers from 15 schools of Galicia (Spain). The International Questionnaire on Physical Education, Health and Lifestyle was administered. The findings revealed that school year, sex, physical perceived competence and sport practice with friends had a statistically significant relationship on physical activity index. By contrast, the association between the weekly participation of fathers or mothers in sports in the practice of children could not be confirmed. Sport practice with friends was the main predicting variable for physical activity level. Physical perceived competence showed great relevance as well. This knowledge could be of interest to help increase adherence to practice and preventing withdrawal, helping students to stay active and acquire healthy habits for the future.

Publisher

MDPI AG

Subject

Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health

Reference37 articles.

1. Exercise and time-dependent benefits to learning and memory

2. “I want to do it all day!”—Students’ experiences of classroom movement integration

3. Neuroeducación o las nuevas coordenadas del éxito educativo;Alvariñas-Villaverde,2019

4. Peer Influence and Physical Activity Behavior in Young Children: An Experimental Study

5. Correlates of physical activity in young people: A narrative review of reviews. Implications for physical education based on a socio-ecological approach;Martins;Retos,2017

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