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dc.contributor.authorBrown, D. J.
dc.contributor.authorHagger, M. S.
dc.contributor.authorHamilton, K.
dc.date.accessioned2020-06-23T12:30:08Z
dc.date.available2020-06-23T12:30:08Z
dc.date.issued2020
dc.identifier.citationBrown, D. J., Hagger, M. S., & Hamilton, K. (2020). The mediating role of constructs representing reasoned-action and automatic processes on the past behavior-future behavior relationship. <i>Social Science and Medicine</i>, <i>258</i>, Article 113085. <a href="https://doi.org/10.1016/j.socscimed.2020.113085" target="_blank">https://doi.org/10.1016/j.socscimed.2020.113085</a>
dc.identifier.otherCONVID_35850894
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/70284
dc.description.abstractObjective Past behavior has been consistently shown to predict and explain future behavior. It has been proposed that past behavior effects reflect both reasoned action and automatic processes. The current study sought to explore the mediation of past behavior-future behavior relationship via constructs reflecting these processes across three populations and behaviors: binge drinking in university students, flossing in adults, and parental sun safety behavior of children 2 – 5 years of age. Furthermore, this study used a measure of past behavior that combined long-term, recent, and routine patterns of behavioral engagement. Method A prospective design with two waves of data collection spaced six weeks apart was adopted. Participants (total N = 754) completed an initial survey containing measures of past behavior (frequency, recency, and routine), social cognition (attitudes, subjective norms, perceived behavioral control), and behavioral automaticity. Six weeks later, participants (N = 454) completed a self-report measure of behavior and behavioral automaticity. Results Structural equation modelling revealed that automatic, but not reasoned-action processes, mediated the past-to-future relationship, across the three behaviors. Results further revealed that long-term, recent, and routine patterns of behavioral engagement were highly correlated and indicated a second-order past behavior latent variable. Conclusions While both reasoned-action and automatic factors can predict a range of health behaviors, automatic processes appear to explain the effect of past behavior on future behavior. Further investigations should focus on exploring the role of other non-conscious and automatic processes such as counter-intentional habits and implicit beliefs in explaining engagement in heath behaviors.en
dc.format.mimetypeapplication/pdf
dc.languageeng
dc.language.isoeng
dc.publisherElsevier
dc.relation.ispartofseriesSocial Science and Medicine
dc.rightsCC BY-NC-ND 4.0
dc.titleThe mediating role of constructs representing reasoned-action and automatic processes on the past behavior-future behavior relationship
dc.typeresearch article
dc.identifier.urnURN:NBN:fi:jyu-202006234476
dc.contributor.laitosLiikuntatieteellinen tiedekuntafi
dc.contributor.laitosFaculty of Sport and Health Sciencesen
dc.contributor.oppiaineLiikuntapsykologiafi
dc.contributor.oppiaineSport and Exercise Psychologyen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.relation.issn0277-9536
dc.relation.volume258
dc.type.versionacceptedVersion
dc.rights.copyright© 2020 Elsevier
dc.rights.accesslevelopenAccessfi
dc.type.publicationarticle
dc.subject.ysointerventiohoito
dc.subject.ysointerventio
dc.subject.ysokäyttäytymisen psykologia
dc.subject.ysososiaalinen kognitio
dc.subject.ysoterveyskäyttäytyminen
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p19526
jyx.subject.urihttp://www.yso.fi/onto/yso/p41
jyx.subject.urihttp://www.yso.fi/onto/yso/p11310
jyx.subject.urihttp://www.yso.fi/onto/yso/p12416
jyx.subject.urihttp://www.yso.fi/onto/yso/p11100
dc.rights.urlhttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.relation.doi10.1016/j.socscimed.2020.113085
jyx.fundinginformationThis research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. This project was supported by the Australian Government Research Training Program. Martin S. Hagger’s contribution was supported by a Finland Distinguished Professor (FiDiPro) fellowship from Tekes, the Finnish funding agency for innovation.
dc.type.okmA1


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