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dc.contributor.authorAulbach, MB
dc.contributor.authorKnittle, K
dc.contributor.authorvan Beurden, SB
dc.contributor.authorHaukkala, A
dc.contributor.authorLawrence, NS
dc.date.accessioned2022-01-12T13:55:04Z
dc.date.issued2021-05-17
dc.date.updated2022-01-12T13:04:57Z
dc.description.abstractFood Go/No-Go training aims to alter implicit food biases by creating associations between perceiving unhealthy foods and withholding a dominant response. Asking participants to repeatedly inhibit an impulse to approach unhealthy foods can decrease unhealthy food intake in laboratory settings. Less is known about how people engage with app-based Go/No-Go training in real-world settings and how this might relate to dietary outcomes. This pragmatic observational study investigated associations between the number of completed app-based food Go/No-Go training trials and changes in food intake (Food Frequency Questionnaire; FFQ) for different healthy and unhealthy food categories from baseline to one-month follow-up. In total, 1234 participants (m(BMI) = 29 kg/m2, m(age) = 43years, 69% female) downloaded the FoodT app and completed food-Go/No-Go training at their own discretion (mean number of completed sessions = 10.7, sd = 10.3, range: 1-122). In pre-registered analyses, random-intercept linear models predicting intake of different foods, and controlled for baseline consumption, BMI, age, sex, smoking, metabolic syndrome, and dieting status, revealed small, significant associations between the number of completed training trials and reductions in unhealthy food intake (b = -0.0005, CI95= [-0.0007;-0.0003]) and increases in healthy food intake (b = 0.0003, CI95 = [0.0000; 0.0006]). These relationships varied by food category, and exploratory analyses suggest that more temporally spaced training was associated with greater changes in dietary intake. Taken together, these results imply a positive association between the amount of training completed and beneficial changes in food intake. However, the results of this pragmatic study should be interpreted cautiously, as self-selection biases, motivation and other engagement-related factors that could underlie these associations were not accounted for. Experimental research is needed to rule out these possible confounds and establish causal dose-response relationships between patterns of engagement with food Go/No-Go training and changes in dietary intake.en_GB
dc.description.sponsorshipFinnish Cultural Foundationen_GB
dc.description.sponsorshipSigne and Ane Gyllenberg Foundationen_GB
dc.description.sponsorshipAlfred Kordelin Foundationen_GB
dc.description.sponsorshipUniversity of Helsinkien_GB
dc.format.extent105315-
dc.identifier.citationVol. 165, article 105315en_GB
dc.identifier.doihttps://doi.org/10.1016/j.appet.2021.105315
dc.identifier.urihttp://hdl.handle.net/10871/128372
dc.identifierORCID: 0000-0003-1969-6637 (Lawrence, Natalia S)
dc.language.isoenen_GB
dc.publisherElsevieren_GB
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pubmed/34015308en_GB
dc.rights© 2021 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).en_GB
dc.subjectBehavior changeen_GB
dc.subjectCognitive trainingen_GB
dc.subjectEating behavioren_GB
dc.subjectObesityen_GB
dc.subjectResponse inhibitionen_GB
dc.subjectmHealthen_GB
dc.subjectAdulten_GB
dc.subjectDieten_GB
dc.subjectEatingen_GB
dc.subjectFeeding Behavioren_GB
dc.subjectFemaleen_GB
dc.subjectFooden_GB
dc.subjectFood Preferencesen_GB
dc.subjectHumansen_GB
dc.subjectMaleen_GB
dc.subjectMobile Applicationsen_GB
dc.titleApp-based food Go/No-Go training: User engagement and dietary intake in an opportunistic observational study.en_GB
dc.typeArticleen_GB
dc.date.available2022-01-12T13:55:04Z
dc.identifier.issn0195-6663
exeter.article-number105315
exeter.place-of-publicationEngland
dc.descriptionThis is the final version. Available from Elsevier via the DOI in this record. en_GB
dc.identifier.eissn1095-8304
dc.identifier.journalAppetiteen_GB
dc.relation.ispartofAppetite, 165
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2021-05-11
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2021-05-17
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2022-01-12T13:43:37Z
refterms.versionFCDVoR
refterms.dateFOA2022-01-12T13:55:11Z
refterms.panelAen_GB


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© 2021 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's licence is described as © 2021 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).