Sports Participation and Value of Elite Sports in Predicting Well-Being
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.8/6441 |
Resumo: | This work contributes to emerging literature focused on the role of physical activity on the subjective well-being of populations. Unlike the existing literature, it proposes an approach that uses algorithms to predict subjective well-being. The aims of this study were to determine the relative importance of sports participation and the perceived value of elite sports on the subjective well-being of individuals. A total of 511 participants completed an online questionnaire. The statistical analysis used several machine learning techniques, including three algorithms, Decision Tree Classifier (DTC), Random Forest Classifier (RFC), and Gradient Boosting Classifier (GBC). In the three algorithms tested, sports participation, expressed as the weekly frequency and the time spent engaging in vigorous physical activity, showed a greater importance (between 47% and 53%) in determining subjective well-being. It also highlights the effect of perceived value of elite sport on the prediction of subjective well-being. This study provides evidence for public sport policy makers/authorities and for managers of physical activity and sport development programs. The surprising effect of the perceived value of elite sport on the prediction of subjective well-being. |
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Sports Participation and Value of Elite Sports in Predicting Well-BeingElite sportPhysical activitySports participationSports policySubjective well-beingThis work contributes to emerging literature focused on the role of physical activity on the subjective well-being of populations. Unlike the existing literature, it proposes an approach that uses algorithms to predict subjective well-being. The aims of this study were to determine the relative importance of sports participation and the perceived value of elite sports on the subjective well-being of individuals. A total of 511 participants completed an online questionnaire. The statistical analysis used several machine learning techniques, including three algorithms, Decision Tree Classifier (DTC), Random Forest Classifier (RFC), and Gradient Boosting Classifier (GBC). In the three algorithms tested, sports participation, expressed as the weekly frequency and the time spent engaging in vigorous physical activity, showed a greater importance (between 47% and 53%) in determining subjective well-being. It also highlights the effect of perceived value of elite sport on the prediction of subjective well-being. This study provides evidence for public sport policy makers/authorities and for managers of physical activity and sport development programs. The surprising effect of the perceived value of elite sport on the prediction of subjective well-being.MDPIIC-OnlineSilva, AlfredoSobreiro, PedroMonteiro, Diogo2022-01-03T12:13:27Z2021-12-202021-12-20T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.8/6441engSilva, A.; Sobreiro, P.; Monteiro, D. Sports Participation and Value of Elite Sports in Predicting Well-Being. Sports 2021, 9, 173. https://doi.org/10.3390/sports 91201732075-466310.3390/sports9120173info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-17T15:53:01Zoai:iconline.ipleiria.pt:10400.8/6441Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:49:38.319780Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Sports Participation and Value of Elite Sports in Predicting Well-Being |
title |
Sports Participation and Value of Elite Sports in Predicting Well-Being |
spellingShingle |
Sports Participation and Value of Elite Sports in Predicting Well-Being Silva, Alfredo Elite sport Physical activity Sports participation Sports policy Subjective well-being |
title_short |
Sports Participation and Value of Elite Sports in Predicting Well-Being |
title_full |
Sports Participation and Value of Elite Sports in Predicting Well-Being |
title_fullStr |
Sports Participation and Value of Elite Sports in Predicting Well-Being |
title_full_unstemmed |
Sports Participation and Value of Elite Sports in Predicting Well-Being |
title_sort |
Sports Participation and Value of Elite Sports in Predicting Well-Being |
author |
Silva, Alfredo |
author_facet |
Silva, Alfredo Sobreiro, Pedro Monteiro, Diogo |
author_role |
author |
author2 |
Sobreiro, Pedro Monteiro, Diogo |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
IC-Online |
dc.contributor.author.fl_str_mv |
Silva, Alfredo Sobreiro, Pedro Monteiro, Diogo |
dc.subject.por.fl_str_mv |
Elite sport Physical activity Sports participation Sports policy Subjective well-being |
topic |
Elite sport Physical activity Sports participation Sports policy Subjective well-being |
description |
This work contributes to emerging literature focused on the role of physical activity on the subjective well-being of populations. Unlike the existing literature, it proposes an approach that uses algorithms to predict subjective well-being. The aims of this study were to determine the relative importance of sports participation and the perceived value of elite sports on the subjective well-being of individuals. A total of 511 participants completed an online questionnaire. The statistical analysis used several machine learning techniques, including three algorithms, Decision Tree Classifier (DTC), Random Forest Classifier (RFC), and Gradient Boosting Classifier (GBC). In the three algorithms tested, sports participation, expressed as the weekly frequency and the time spent engaging in vigorous physical activity, showed a greater importance (between 47% and 53%) in determining subjective well-being. It also highlights the effect of perceived value of elite sport on the prediction of subjective well-being. This study provides evidence for public sport policy makers/authorities and for managers of physical activity and sport development programs. The surprising effect of the perceived value of elite sport on the prediction of subjective well-being. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-12-20 2021-12-20T00:00:00Z 2022-01-03T12:13:27Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.8/6441 |
url |
http://hdl.handle.net/10400.8/6441 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Silva, A.; Sobreiro, P.; Monteiro, D. Sports Participation and Value of Elite Sports in Predicting Well-Being. Sports 2021, 9, 173. https://doi.org/10.3390/sports 9120173 2075-4663 10.3390/sports9120173 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
MDPI |
publisher.none.fl_str_mv |
MDPI |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799136988300836864 |