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dc.contributor.authorPhipps, Daniel J.
dc.contributor.authorHagger, Martin S.
dc.contributor.authorHamilton, Kyra
dc.date.accessioned2020-04-15T05:59:02Z
dc.date.available2020-04-15T05:59:02Z
dc.date.issued2020
dc.identifier.citationPhipps, D. J., Hagger, M. S., & Hamilton, K. (2020). Predicting limiting ‘free sugar’ consumption using an integrated model of health behavior. <i>Appetite</i>, <i>150</i>, Article 104668. <a href="https://doi.org/10.1016/j.appet.2020.104668" target="_blank">https://doi.org/10.1016/j.appet.2020.104668</a>
dc.identifier.otherCONVID_34985684
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/68528
dc.description.abstractExcess intake of ‘free sugars’ is a key predictor of chronic disease, obesity, and dental ill health. Given the importance of determining modifiable predictors of free sugar-related dietary behaviors, we applied the integrated behavior change model to predict free sugar limiting behaviors. The model includes constructs representing ‘reasoned’ or deliberative processes that lead to action (e.g., social cognition constructs, intentions), and constructs representing ‘non-conscious’ or implicit processes (e.g., implicit attitudes, behavioral automaticity) as predictors of behavior. Undergraduate students (N = 205) completed measures of autonomous and controlled motivation, the theory of planned behavior (TPB) measures of explicit attitude, subjective norms, perceived behavioral control (PBC), and intentions, past behavior, implicit attitude, and behavioral automaticity at an initial point in time, and free sugar limiting behavior and behavioral automaticity two weeks later. A Bayesian structural equation model indicated that explicit attitude, subjective norms, and PBC predicted behavior via intention. Autonomous motivation predicted behavior indirectly through all TPB variables, while controlled motivation predicted behavior only via subjective norms. Implicit attitudes and behavioral automaticity predicted behavior directly and independently. Past behavior predicted behavior directly and indirectly through behavioral automaticity and intentions, but not implicit attitudes. Current findings suggest pervasive effects of constructs representing both reasoned and non-conscious processes and signpost potential targets for behavioral interventions aimed at minimizing free sugar consumption.en
dc.format.mimetypeapplication/pdf
dc.languageeng
dc.language.isoeng
dc.publisherElsevier
dc.relation.ispartofseriesAppetite
dc.rightsCC BY-NC-ND 4.0
dc.subject.otherfree sugar intake
dc.subject.othertheory of planned behavior
dc.subject.otherintentions
dc.subject.otherdual process
dc.subject.otherimplicit attitudes
dc.subject.otherbehavioral automaticity
dc.subject.otherhabit
dc.subject.otherdiet
dc.titlePredicting limiting ‘free sugar’ consumption using an integrated model of health behavior
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-202004152750
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.issn0195-6663
dc.relation.volume150
dc.type.versionacceptedVersion
dc.rights.copyright© 2020 Elsevier Ltd.
dc.rights.accesslevelopenAccessfi
dc.subject.ysoterveyskäyttäytyminen
dc.subject.ysosokeri
dc.subject.ysokäyttäytymismallit
dc.subject.ysoruokatottumukset
dc.subject.ysoruokavaliot
dc.subject.ysoravitsemuskäyttäytyminen
dc.subject.ysoasenteet
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p11100
jyx.subject.urihttp://www.yso.fi/onto/yso/p7172
jyx.subject.urihttp://www.yso.fi/onto/yso/p2486
jyx.subject.urihttp://www.yso.fi/onto/yso/p5527
jyx.subject.urihttp://www.yso.fi/onto/yso/p3790
jyx.subject.urihttp://www.yso.fi/onto/yso/p5528
jyx.subject.urihttp://www.yso.fi/onto/yso/p5619
dc.rights.urlhttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.relation.datasethttps://osf.io/5bdr8/
dc.relation.doi10.1016/j.appet.2020.104668
jyx.fundinginformationNo funding information.
dc.type.okmA1


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