Εμφάνιση απλής εγγραφής

dc.creatorPolet J., Schneider J., Hassandra M., Lintunen T., Laukkanen A., Hankonen N., Hirvensalo M., Tammelin T.H., Hamilton K., Hagger M.S.en
dc.date.accessioned2023-01-31T09:50:21Z
dc.date.available2023-01-31T09:50:21Z
dc.date.issued2021
dc.identifier10.1371/journal.pone.0258829
dc.identifier.issn19326203
dc.identifier.urihttp://hdl.handle.net/11615/78287
dc.description.abstractThe present study aimed to examine effects of motivational and social cognition constructs on children’s leisure-time physical activity participation alongside constructs representing implicit processes using an extended trans-contextual model. The study adopted a correlational prospective design. Secondary-school students (N = 502) completed self-report measures of perceived autonomy support from physical education (PE) teachers, autonomous motivation in PE and leisure-time contexts, and social cognition constructs (attitudes, subjective norms, perceived behavioral control), intentions, trait self-control, habits, and past behavior in a leisure-time physical activity context. Five weeks later, students (N = 298) self-reported their leisure-time physical activity participation. Bayesian path analyses supported two key premises of the model: perceived autonomy support was related to autonomous motivation in PE, and autonomous motivation in PE was related to autonomous motivation in leisure time. Indirect effects indicated that both forms of autonomous motivation were related to social cognition constructs and intentions. However, intention was not related to leisure-time physical activity participation, so model variables reflecting motivational processes did not account for substantive variance in physical activity participation. Self-control, attitudes, and past behavior were direct predictors of intentions and leisure-time physical activity participation. There were indirect effects of autonomous motivation in leisure time on intentions and physical activity participation mediated by self-control. Specifying informative priors for key model relations using Bayesian analysis yielded greater precision for some model effects. Findings raise some questions on the predictive validity of constructs from the original trans-contextual model in the current sample, but highlight the value of extending the model to incorporate additional constructs representing non-conscious processes. © 2021 Polet et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.en
dc.language.isoenen
dc.sourcePLoS ONEen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85119096394&doi=10.1371%2fjournal.pone.0258829&partnerID=40&md5=ed1dba74f315e9e8e2189e413c76fe6a
dc.subjectarticleen
dc.subjectBayes theoremen
dc.subjectchilden
dc.subjectfemaleen
dc.subjecthabiten
dc.subjecthigh schoolen
dc.subjecthumanen
dc.subjecthuman experimenten
dc.subjectintrinsic motivationen
dc.subjectmajor clinical studyen
dc.subjectmaleen
dc.subjectpath analysisen
dc.subjectphysical activityen
dc.subjectphysical educationen
dc.subjectpredictive validityen
dc.subjectself controlen
dc.subjectself reporten
dc.subjectsocial cognitionen
dc.subjectteacheren
dc.subjectadolescenten
dc.subjectattitudeen
dc.subjectbehavioren
dc.subjectexerciseen
dc.subjectleisureen
dc.subjectmotivationen
dc.subjectpersonal autonomyen
dc.subjectprospective studyen
dc.subjectpsychologyen
dc.subjectstudenten
dc.subjectAdolescenten
dc.subjectAttitudeen
dc.subjectBayes Theoremen
dc.subjectExerciseen
dc.subjectFemaleen
dc.subjectHabitsen
dc.subjectHumansen
dc.subjectIntentionen
dc.subjectLeisure Activitiesen
dc.subjectMaleen
dc.subjectMotivationen
dc.subjectPersonal Autonomyen
dc.subjectPhysical Education and Trainingen
dc.subjectProspective Studiesen
dc.subjectSelf Reporten
dc.subjectSelf-Controlen
dc.subjectStudentsen
dc.subjectPublic Library of Scienceen
dc.titlePredictors of school students’ leisure-time physical activity: An extended trans-contextual model using Bayesian path analysisen
dc.typejournalArticleen


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