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Investigating motivations to eat: Refining and validating a framework of Eating Behaviour Traits in dieters and the general population.
Dakin, Clarissa; Finlayson, Graham; Stubbs, R James.
Afiliação
  • Dakin C; University of Leeds, Woodhouse, Leeds, LS2 9JT, UK. Electronic address: clarissa.dakin@gmail.com.
  • Finlayson G; University of Leeds, Woodhouse, Leeds, LS2 9JT, UK.
  • Stubbs RJ; University of Leeds, Woodhouse, Leeds, LS2 9JT, UK.
Appetite ; 201: 107543, 2024 Jun 26.
Article em En | MEDLINE | ID: mdl-38942149
ABSTRACT
Due to relationships between diet and health including obesity, there is a need to examine the explanatory power of factors that motivate people to (over or under) eat. In a previous investigation, a four-factor subscale-based model of eating behaviour traits (EBTs) was developed which identified individual differences in psychological factors influencing motivations to eat and some residual uncertainties. The current study used a data-driven and theory-driven approach, including individual items to refine and extend previous EBT models. The aim was to examine and validate the domain structure of a framework for EBTs. The analysis used two samples including a representative sample of the UK population (n = 2010, 51% female, 49% male, 18-88 years), and members of a weight management program (n = 2317, 96.6% female, 2.8% male, 21-84 years), who completed 5 questionnaires including 10 EBTs. The results found some support for a 6-factor model, encompassing reactive eating, negative emotional eating, positive emotional eating, restricted eating, homeostatic eating, and body-food choice congruence (data-driven model) or eating for health (theory-driven model). There were differences between the data-driven model and the theory-driven model regarding the 6th factor. Additionally, the data-driven model did not distinguish between eating for pleasure and reactive eating. The models demonstrated that the eating behaviour factors were significantly associated with BMI category. Overall, this research contributes to a more structured understanding of the dimensions of motivation underlying EBTs, emphasising the utility of this framework for identifying at-risk individuals and tailoring interventions to meet specific individual needs.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article