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RESEARCH PRODUCT
Predictors of school students’ leisure-time physical activity : An extended trans-contextual model using Bayesian path analysis
Juho J. PoletJekaterina SchneiderMary HassandraTaru LintunenArto LaukkanenNelli HankonenMirja HirvensaloTuija H. TammelinKyra HamiltonMartin S Haggersubject
Social CognitionMalekoululaisetSocial Sciences050109 social psychologyIntentionliikuntaCardiovascularHabitskoululiikuntaSociologyPsychological AttitudesMedicine and Health SciencesPsychologyPublic and Occupational HealthProspective StudiesmotivaatioSchoolsPhysical Education and Training4. EducationQ05 social sciencesR16. Peace & justice3142 Public health care science environmental and occupational healthProfessions5144 Social psychology5141 SociologyMedicineFemale0305 other medical sciencefyysinen aktiivisuusvapaa-aikaResearch ArticleSocial PsychologyAdolescentGeneral Science & Technology515 PsychologySciencelapset (ikäryhmät)Basic Behavioral and Social ScienceEducationSelf-Control03 medical and health sciencesLeisure ActivitiesClinical ResearchBehavioral and Social ScienceHumans0501 psychology and cognitive sciencesStudentsExerciseBehaviorMotivation030505 public healthbayesilainen menetelmäsosiaalinen kognitioCognitive PsychologyBiology and Life SciencesTeachersBayes TheoremPhysical ActivityAttitudePeople and PlacesPersonal AutonomyCognitive SciencePopulation GroupingsSelf ReportNeurosciencedescription
Abstract Background:The trans-contextual model (TCM) has been applied to identify the determinants of leisure-time physical activity participation in secondary school students. In the current study, the TCM was extended to include additional constructs that represent non-conscious, implicit processes that lead to leisure-time physical activity participation alongside the motivational and social cognition constructs from the TCM. The current study used baseline and follow-up data from an intervention study to test the extended TCM.Methods:The current study adopted a two-wave prospective design. Secondary-school students (N = 502) completed measures of perceived autonomy support from physical education (PE) teachers, autonomous motivation in PE and leisure-time contexts, social cognition constructs (attitudes, subjective norms, perceived behavioral control), intentions, trait self-control, habits, and past behavior all in a leisure-time physical activity context. Five weeks later, students (N = 298) completed a follow-up self-report measure of their leisure-time physical activity.Results:Bayesian path analyses supported two key premises of the model: perceived autonomous support predicted autonomous motivation in PE, and autonomous motivation in PE predicted autonomous motivation in leisure time. However, while both forms of autonomous motivation predicted social cognition constructs and intentions, they did not predict leisure-time physical activity participation. Trait self-control, attitudes, and past behavior were direct predictors of intentions and leisure-time physical activity participation. Specifying informative priors for key model relations using Bayesian analysis yielded greater precision for some of the estimates.Conclusions:Findings raise some questions on the efficacy of the original TCM, but highlight the value of extending the TCM to incorporate additional constructs representing non-conscious processes.
year | journal | country | edition | language |
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2021-01-01 |