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Role of Eating Behavior and Stress in Maintenance of Dietary Changes During the PREVIEW Intervention

Elli Jalo Orcid Logo, Mikael Fogelholm Orcid Logo, Margriet Westerterp-Plantenga Orcid Logo, Tanja C. Adam, Mathijs Drummen Orcid Logo, Maija Huttunen-Lenz Orcid Logo, Louise Kjølbæk Orcid Logo, José Alfredo Martinez, Teodora Handjieva-Darlenska Orcid Logo, Moira A. Taylor Orcid Logo, Jennie Brand-Miller Orcid Logo, Sally Poppitt Orcid Logo, Gareth Stratton Orcid Logo, Tony Lam Orcid Logo, Santiago Navas-Carretero Orcid Logo, Georgi Bogdanov Orcid Logo, Liz Simpson Orcid Logo, Roslyn Muirhead Orcid Logo, Marta P. Silvestre Orcid Logo, Nils Joseph Swindell Orcid Logo, Anne Raben Orcid Logo, Hanna Konttinen Orcid Logo

Journal of Nutrition Education and Behavior

Swansea University Authors: Gareth Stratton Orcid Logo, Nils Joseph Swindell Orcid Logo

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Abstract

ObjectiveTo examine whether eating behavior and perceived stress predict the maintenance of self-reported dietary change and adherence to dietary instructions during an intervention.DesignA secondary analysis of the behavior maintenance stage (6–36 months) of the 3-year PREVIEW intervention (PREVent...

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Published in: Journal of Nutrition Education and Behavior
ISSN: 1499-4046
Published: Elsevier BV 2024
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa65505
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Abstract: ObjectiveTo examine whether eating behavior and perceived stress predict the maintenance of self-reported dietary change and adherence to dietary instructions during an intervention.DesignA secondary analysis of the behavior maintenance stage (6–36 months) of the 3-year PREVIEW intervention (PREVention of diabetes through lifestyle Intervention and population studies in Europe and around the World).ParticipantsAdults (n = 1,311) with overweight and prediabetes at preintervention baseline.Variables MeasuredEating behavior (Three-Factor Eating Questionnaire), stress (Perceived Stress Scale), and dietary intake (4-day food records on 4 occasions) were reported.AnalysisAssociations between predictors and dietary outcomes were examined with linear mixed-effects models for repeated measurements.ResultsEating behaviors and stress at 6 months did not predict the subsequent change in dietary outcomes, but higher cognitive restraint predicted lower energy intake, and both higher disinhibition and hunger predicted higher energy intake during the following behavior maintenance stage. In addition, higher disinhibition predicted higher saturated fat intake and lower fiber intake, and higher hunger predicted lower fiber intake. Stress was not associated with energy intake or dietary quality. Eating behaviors and stress were not consistently associated with adherence to dietary instructions.Conclusions and ImplicationsHigher cognitive restraint predicted lower energy intake (food quantity), but disinhibition and hunger were also associated with dietary quality.
Keywords: Eating Inventory; eating style; behavior change; behavior maintenance; food consumption
College: Faculty of Science and Engineering
Funders: he PREVention of diabetes through lifestyle Intervention and population studies in Europe and around the World project was funded by the following institutions: European Union Framework Programme 7 (grant no. 312057), The Glycemic Index Foundation Australia through royalties to The University of Sydney; The New Zealand Health Research Council (14/191) and the University of Auckland Faculty Research Development Fund; The Danish Agriculture and Food Council; The Danish Meat and Research Institute; National Institute for Health Research Biomedical Research Centre; Engineering and Physical Sciences Research Council; Juho Vainio Foundation; Academy of Finland (grant nos.: 272376, 314383, and 266286); Finnish Medical Foundation; Gyllenberg Foundation; Novo Nordisk Foundation; Finnish Diabetes Research Foundation; University of Helsinki; Government Research Funds for Helsinki University Hospital. The Cambridge Weight Plan donated all products for the 8-week low-energy–diet period. Nutritics donated dietary analysis software used by the University of Nottingham. Elli Jalo received personal grants for the preparation of this manuscript from the Jenny and Antti Wihuri Foundation, Emil Aaltonen Foundation, and Yrjö Jahnsson Foundation. Hanna Konttinen also received funding from the Academy of Finland (grants no. 314135 and 309157 to HK) for the preparation of this manuscript.