Obesity, food restriction, and implicit attitudes to healthy and unhealthy foods: Lessons learned from the implicit relational assessment procedure

Ian McKenna, Sean Hughes, Dermot Barnes-Holmes, Maarten De Schryver, Ruth Yoder, Donal O'Shea

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

It has been argued that obese individuals evaluate high caloric, palatable foods more positively than their normal weight peers, and that this positivity bias causes them to consume such foods, even when healthy alternatives are available. Yet when self-reported and automatic food preferences are assessed no such evaluative biases tend to emerge. We argue that situational (food deprivation) and methodological factors may explain why implicit measures often fail to discriminate between the food-evaluations of these two groups. Across three studies we manipulated the food deprivation state of clinically obese and normal-weight participants and then exposed them to an indirect procedure (IRAP) and self-report questionnaires. We found that automatic food-related cognition was moderated by a person's weight status and food deprivation state. Our findings suggest that the diagnostic and predictive value of implicit measures may be increased when (a) situational moderators are taken into consideration and (b) we pay greater attention to the different ways in which people automatically relate rather than simply categorize food stimuli.

Original languageEnglish
Pages (from-to)41-54
Number of pages14
JournalAppetite
Volume100
Early online date11 Feb 2016
DOIs
Publication statusPublished - 1 May 2016

Keywords

  • Attitudes
  • Hunger
  • IRAP
  • Obese
  • Wanting

Fingerprint Dive into the research topics of 'Obesity, food restriction, and implicit attitudes to healthy and unhealthy foods: Lessons learned from the implicit relational assessment procedure'. Together they form a unique fingerprint.

  • Cite this