Dietary restraint and US devaluation predict evaluative learning

Jeffrey Brunstrom, Suzanne Higgs, GL Mitchell

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

Previous research has indicated that flavor-flavor learning is impaired in restrained eaters. In Experiment 1 we sought to extend this finding using a larger sample and a more comprehensive assessment of dietary behavior. Participants (N=90, including 30 current dieters) sampled three novel flavors (CSs), each on 10 separate occasions, in a randomized order. Each flavor was paired with chocolate (US) either 10%, 50%, or 90% of the time. We then assessed liking for the three CSs and asked participants to complete the DEBQ-restraint and TFEQ-disinhibition sub-scales. After these CS-US parings, restrained eaters tended to prefer the 10% paired flavor whereas unrestrained eaters tended to prefer the 90% paired flavor. Differential CS liking was not evident in dieters and it was not predicted by disinhibition. Using a similar methodology, in Experiment 2 (N=76) we assessed evaluative change following picture-sweet pairings. Relative to the other CSs, the restrained eaters reported a greater increase in their liking for the 10% paired CS and the unrestrained eaters reported a greater increase in their liking for the 90% paired CS. We also discovered that evaluative change is related to the level of US devaluation that takes place during conditioning. Evidence that a sweet US can bring about a decrease in liking has not been reported previously. One interpretation is that negative beliefs and attitudes can contaminate the representation of the US during training.
Original languageEnglish
Pages (from-to)524-535
Number of pages12
JournalPhysiology and Behavior
Volume85
DOIs
Publication statusPublished - 7 Aug 2005

Keywords

  • dietary restraint
  • beliefs
  • evaluative conditioning
  • flavor preference
  • flavor-flavor
  • associative learning

Fingerprint

Dive into the research topics of 'Dietary restraint and US devaluation predict evaluative learning'. Together they form a unique fingerprint.

Cite this