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Differential Patterns in Motivations for Practicing Sport and Their Effects on Physical Activity Engagement across the Lifespan

This study aims to report what motivates individuals to be physically active, to determine whether motivating factors influence physical activity (PA) levels, and whether this differs across the lifespan. This is a cross-sectional study with 498 individuals: 117 adolescents, 306 adults, and 75 older...

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Autores principales: de Maio Nascimento, Marcelo, Gouveia, Élvio Rúbio, Gouveia, Bruna R., Marques, Adilson, França, Cíntia, Campos, Pedro, Martins, Francisco, García-Mayor, Jesús, Ihle, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9858934/
https://www.ncbi.nlm.nih.gov/pubmed/36673642
http://dx.doi.org/10.3390/healthcare11020274
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author de Maio Nascimento, Marcelo
Gouveia, Élvio Rúbio
Gouveia, Bruna R.
Marques, Adilson
França, Cíntia
Campos, Pedro
Martins, Francisco
García-Mayor, Jesús
Ihle, Andreas
author_facet de Maio Nascimento, Marcelo
Gouveia, Élvio Rúbio
Gouveia, Bruna R.
Marques, Adilson
França, Cíntia
Campos, Pedro
Martins, Francisco
García-Mayor, Jesús
Ihle, Andreas
author_sort de Maio Nascimento, Marcelo
collection PubMed
description This study aims to report what motivates individuals to be physically active, to determine whether motivating factors influence physical activity (PA) levels, and whether this differs across the lifespan. This is a cross-sectional study with 498 individuals: 117 adolescents, 306 adults, and 75 older adults. PA was assessed using Baecke’s questionnaire, and motivating factors for practicing sports were investigated using a scale with twelve questions. The factor analysis identified three motivating factors for sports practice: psychosocial, bodily, and well-being. The scale’s overall reliability and internal consistency indicated a Cronbach’s alpha of 0.885. The analysis of covariance (ANCOVA) adjusted for sex indicated the three factors as having a significant effect on PA (p < 0.050); however, only the well-being factor showed a significant interaction with age groups (p = 0.023, η(p)(2) = 0.030). Subsequently, the effect of the well-being factor on PA scores in each age group was explored through regression analyses. Only older adults showed a significant association in the unadjusted [OR = 0.378, p = 0.001, R(2) = 0.243] and the sex-adjusted analysis [OR = 0.377, p = 0.001, R(2) = 0.288]. These results help us to better understand the underlying motivational reasons in different age groups for engaging in sports.
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spelling pubmed-98589342023-01-21 Differential Patterns in Motivations for Practicing Sport and Their Effects on Physical Activity Engagement across the Lifespan de Maio Nascimento, Marcelo Gouveia, Élvio Rúbio Gouveia, Bruna R. Marques, Adilson França, Cíntia Campos, Pedro Martins, Francisco García-Mayor, Jesús Ihle, Andreas Healthcare (Basel) Article This study aims to report what motivates individuals to be physically active, to determine whether motivating factors influence physical activity (PA) levels, and whether this differs across the lifespan. This is a cross-sectional study with 498 individuals: 117 adolescents, 306 adults, and 75 older adults. PA was assessed using Baecke’s questionnaire, and motivating factors for practicing sports were investigated using a scale with twelve questions. The factor analysis identified three motivating factors for sports practice: psychosocial, bodily, and well-being. The scale’s overall reliability and internal consistency indicated a Cronbach’s alpha of 0.885. The analysis of covariance (ANCOVA) adjusted for sex indicated the three factors as having a significant effect on PA (p < 0.050); however, only the well-being factor showed a significant interaction with age groups (p = 0.023, η(p)(2) = 0.030). Subsequently, the effect of the well-being factor on PA scores in each age group was explored through regression analyses. Only older adults showed a significant association in the unadjusted [OR = 0.378, p = 0.001, R(2) = 0.243] and the sex-adjusted analysis [OR = 0.377, p = 0.001, R(2) = 0.288]. These results help us to better understand the underlying motivational reasons in different age groups for engaging in sports. MDPI 2023-01-16 /pmc/articles/PMC9858934/ /pubmed/36673642 http://dx.doi.org/10.3390/healthcare11020274 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
de Maio Nascimento, Marcelo
Gouveia, Élvio Rúbio
Gouveia, Bruna R.
Marques, Adilson
França, Cíntia
Campos, Pedro
Martins, Francisco
García-Mayor, Jesús
Ihle, Andreas
Differential Patterns in Motivations for Practicing Sport and Their Effects on Physical Activity Engagement across the Lifespan
title Differential Patterns in Motivations for Practicing Sport and Their Effects on Physical Activity Engagement across the Lifespan
title_full Differential Patterns in Motivations for Practicing Sport and Their Effects on Physical Activity Engagement across the Lifespan
title_fullStr Differential Patterns in Motivations for Practicing Sport and Their Effects on Physical Activity Engagement across the Lifespan
title_full_unstemmed Differential Patterns in Motivations for Practicing Sport and Their Effects on Physical Activity Engagement across the Lifespan
title_short Differential Patterns in Motivations for Practicing Sport and Their Effects on Physical Activity Engagement across the Lifespan
title_sort differential patterns in motivations for practicing sport and their effects on physical activity engagement across the lifespan
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9858934/
https://www.ncbi.nlm.nih.gov/pubmed/36673642
http://dx.doi.org/10.3390/healthcare11020274
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