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dc.contributor.authorBalla, Jessica
dc.contributor.authorPolet, Juho
dc.contributor.authorKokko, Sami
dc.contributor.authorHirvensalo, Mirja
dc.contributor.authorVasankari, Tommi
dc.contributor.authorLintunen, Taru
dc.contributor.authorHagger, Martin S.
dc.date.accessioned2023-03-29T08:43:29Z
dc.date.available2023-03-29T08:43:29Z
dc.date.issued2024
dc.identifier.citationBalla, J., Polet, J., Kokko, S., Hirvensalo, M., Vasankari, T., Lintunen, T., & Hagger, M. S. (2024). Predicting Adolescents’ Physical Activity Intentions : Testing an Integrated Social Cognition Model. <i>International Journal of Behavioral Medicine</i>, <i>31</i>(1), 41-54. <a href="https://doi.org/10.1007/s12529-023-10156-3" target="_blank">https://doi.org/10.1007/s12529-023-10156-3</a>
dc.identifier.otherCONVID_177818242
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/86160
dc.description.abstractBackground: Few adolescents meet guideline levels of physical activity associated with good health, highlighting the need for intervention. Interventions promoting adolescents’ physical activity should be guided by research applying behavioral theory to identify potentially modifiable correlates and associated processes. We applied an integrated social cognition model to identify theory-based constructs and processes that relate to physical activity intentions in a secondary analysis of two samples of Finnish adolescents using a correlational design. Method: Participants in the first sample (n=455) completed self-report measures of social cognition constructs from theory of planned behavior, habit, self-discipline, and past and current physical activities. Participants in the second sample (n=3878) completed identical measures plus measures of socio-structural and socio-environmental factors. Participants from the first sample also wore accelerometers for 1 week. Hypothesized model effects were tested using variance-based structural equation modeling in data from the first sample and subsequently confirmed in a pre-registered analysis of data from the second sample. Results: Across both samples, habit, attitude, perceived behavioral control, and self-reported past behavior were associated with physical activity intention. Effects of self-reported past physical activity on intention were partially mediated by social cognition constructs. Effects of accelerometer-based physical activity were small by comparison. Effects of socio-structural and socio-environmental factors on intention in the second sample were partially mediated by the social cognition constructs. Conclusion: Results corroborate beliefs and habit as consistent correlates of adolescents’ physical activity intentions and provide preliminary evidence that social cognition constructs account for effects of socio-structural and socio-environmental factors on intentions.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofseriesInternational Journal of Behavioral Medicine
dc.rightsCC BY 4.0
dc.subject.othertheory integration
dc.subject.otherexercise behavior
dc.subject.othertheory of planned behavior
dc.subject.otherhabit theory
dc.subject.otherhealth behavior determinants
dc.titlePredicting Adolescents’ Physical Activity Intentions : Testing an Integrated Social Cognition Model
dc.typeresearch article
dc.identifier.urnURN:NBN:fi:jyu-202303292300
dc.contributor.laitosLiikuntatieteellinen tiedekuntafi
dc.contributor.laitosPsykologian laitosfi
dc.contributor.laitosFaculty of Sport and Health Sciencesen
dc.contributor.laitosDepartment of Psychologyen
dc.contributor.oppiaineTerveyskasvatusfi
dc.contributor.oppiaineLiikuntapedagogiikkafi
dc.contributor.oppiaineLiikuntapsykologiafi
dc.contributor.oppiaineResurssiviisausyhteisöfi
dc.contributor.oppiaineHealth Promotion and Health Educationen
dc.contributor.oppiaineSport Pedagogyen
dc.contributor.oppiaineSport and Exercise Psychologyen
dc.contributor.oppiaineSchool of Resource Wisdomen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.format.pagerange41-54
dc.relation.issn1070-5503
dc.relation.numberinseries1
dc.relation.volume31
dc.type.versionpublishedVersion
dc.rights.copyright© The Author(s) 2023
dc.rights.accesslevelopenAccessfi
dc.type.publicationarticle
dc.relation.grantnumber346119
dc.subject.ysolapset (ikäryhmät)
dc.subject.ysonuoret
dc.subject.ysososiaalinen kognitio
dc.subject.ysososiaalinen vahvistaminen
dc.subject.ysoliikunta
dc.subject.ysoterveyskäyttäytyminen
dc.subject.ysofyysinen aktiivisuus
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p4354
jyx.subject.urihttp://www.yso.fi/onto/yso/p11617
jyx.subject.urihttp://www.yso.fi/onto/yso/p12416
jyx.subject.urihttp://www.yso.fi/onto/yso/p24847
jyx.subject.urihttp://www.yso.fi/onto/yso/p916
jyx.subject.urihttp://www.yso.fi/onto/yso/p11100
jyx.subject.urihttp://www.yso.fi/onto/yso/p23102
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.1007/s12529-023-10156-3
dc.relation.funderResearch Council of Finlanden
dc.relation.funderSuomen Akatemiafi
jyx.fundingprogramCentre of Excellence, AoFen
jyx.fundingprogramHuippuyksikkörahoitus, SAfi
jyx.fundinginformationOpen Access funding provided by University of Jyväskylä (JYU). The CoE InterLearn was funded by the Academy of Finland’s Center of Excellence Programme (2022-2029) (346119).
dc.type.okmA1


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