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dc.contributor.authorMurphy, Joseph J.
dc.contributor.authorMacDonncha, Ciaran
dc.contributor.authorMurphy, Marie H.
dc.contributor.authorMurphy, Niamh
dc.contributor.authorNevill, Alan M.
dc.date.accessioned2019-04-26T09:53:46Z
dc.date.available2019-04-26T09:53:46Z
dc.date.issued2019-04-11
dc.identifier.citationMurphy, J. J., NacDonncha, C., Murphy, M. H., Murphy, N. and Nevill, A. M. (2019) What psychosocial factors determine the physical activity patterns of university students?, Journal of Physical Activity and Health, 16(5) pp325-332en
dc.identifier.issn1543-3080en
dc.identifier.doi10.1123/jpah.2018-0205en
dc.identifier.urihttp://hdl.handle.net/2436/622313
dc.description.abstractBackground: Although levels of physical activity (PA) have been researched, no information on how university students organize their PA across different life domains is available. The purpose of this study is to explore if and how students organize their PA across transport and recreational domains, and to identify the psychosocial factors related to these patterns. Methods: Students from 31 Irish universities completed a supervised online survey measuring participant characteristics, psychosocial factors, and PA. Two-step cluster analysis was used to identify specific PA patterns in students. Binary logistic regressions identified factors associated with cluster membership while controlling for age, sex, household income, and perceived travel time to a university. Results: Analysis was performed on 6951 students (50.7% male; 21.51 [5.55] y). One Low Active cluster emerged. Four clusters containing a form of PA emerged including Active Commuters, Active in University, Active Outside University, and High Active. Increases in motivation and planning improved the likelihood of students being categorized in a cluster containing PA. Conclusion: One size does not fit all when it comes to students PA engagement, with 5 patterns identified. Health professionals are advised to incorporate strategies for increasing students’ motivation, action planning, and coping planning into future PA promotion efforts.en
dc.formatapplication/PDFen
dc.language.isoenen
dc.publisherHuman Kineticsen
dc.relation.urlhttps://journals.humankinetics.com/doi/abs/10.1123/jpah.2018-0205en
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.subjectyouthen
dc.subjectpsychologyen
dc.subjectcluster analysisen
dc.subjectactive commutingen
dc.titleWhat psychosocial factors determine the physical activity patterns of university students?en
dc.typeJournal articleen
dc.identifier.journalJournal of Physical Activity and Healthen
dc.date.accepted2019-03-10
rioxxterms.funderUniversity of Wolverhamptonen
rioxxterms.identifier.projectUOW260419JMen
rioxxterms.versionAMen
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en
rioxxterms.licenseref.startdate2019-04-26en
dc.source.volume16
dc.source.issue5
dc.source.beginpage325
dc.source.endpage332
refterms.dateFCD2019-04-26T09:53:23Z
refterms.versionFCDAM
refterms.dateFOA2019-04-26T09:53:46Z


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