Repository logo
 
Publication

Sports Participation and Value of Elite Sports in Predicting Well-Being

dc.contributor.authorSilva, Alfredo
dc.contributor.authorSobreiro, Pedro
dc.contributor.authorMonteiro, Diogo
dc.date.accessioned2022-01-03T12:13:27Z
dc.date.available2022-01-03T12:13:27Z
dc.date.issued2021-12-20
dc.description.abstractThis 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.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationSilva, 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 9120173pt_PT
dc.identifier.doi10.3390/sports9120173pt_PT
dc.identifier.issn2075-4663
dc.identifier.urihttp://hdl.handle.net/10400.8/6441
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectElite sportpt_PT
dc.subjectPhysical activitypt_PT
dc.subjectSports participationpt_PT
dc.subjectSports policypt_PT
dc.subjectSubjective well-beingpt_PT
dc.titleSports Participation and Value of Elite Sports in Predicting Well-Beingpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlaceSuiçapt_PT
oaire.citation.issue12pt_PT
oaire.citation.startPage173pt_PT
oaire.citation.titleSportspt_PT
oaire.citation.volume9pt_PT
person.familyNameMonteiro
person.givenNameDiogo
person.identifierF-1202-2015
person.identifier.ciencia-idED1F-6228-E26F
person.identifier.orcid0000-0002-7179-6814
person.identifier.scopus-author-id56437945500
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication79dcae83-d54a-4acc-a9a1-8268c7776ab9
relation.isAuthorOfPublication.latestForDiscovery79dcae83-d54a-4acc-a9a1-8268c7776ab9

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Silva_et_al.(2021).pdf
Size:
370.15 KB
Format:
Adobe Portable Document Format
Description: