Does device matter? Impacts of food-specific inhibition training on food choice, liking and approach bias when delivered by smartphone or computer.

Abstract

Food-specific inhibition training (FSIT) requires users to inhibit responses to energy-dense (ED) food stimuli within a reaction time game. FSIT reduces choice and liking of ED foods. Research with the public shows larger effects when FSIT is delivered by computer versus smartphone. This pre-registered study is the first to compare computer-FSIT versus smartphone-FSIT in a controlled setting. Three-hundred-and-thirty-one adults were randomised to computer-FSIT, smartphone-FSIT or non-food control training (computer-delivered). In session 1, participants completed baseline measures of impulsive food choice, food approach bias (approach/avoid implicit association test), and food liking ratings, before completing eight minutes of FSIT/control training. In session 2, participants repeated the same training task, followed by the same measures of food choice, approach bias and liking. We hypothesised that FSIT groups would show healthier food choices, lower ED food liking, and reduced ED food approach bias at post-training compared to control. We expected no statistically significant differences between the two FSIT groups. Post-exclusions, data for 259 participants was analysed. Contrary to predictions, there was no evidence of significant group differences on any of the outcome measures. Baseline measures suggest participants already showed high approach to healthy foods, which may explain these null results.

Divisions: College of Health & Life Sciences > School of Psychology
Additional Information: © 2020 The Authors
Event Title: Experimental Psychology Society online conference.
Event Type: Other
Event Dates: 2020-06-30 - 2020-07-02
Last Modified: 31 Jan 2024 08:29
Date Deposited: 06 Jul 2020 08:55
PURE Output Type: Poster
Published Date: 2020-07-02
Authors: Porter, Lucy
Button, Kate
Adams, Rachel
Pennington, Charlotte Rebecca (ORCID Profile 0000-0002-5259-642X)
Chambers, Chris
van Beurden, Samantha
Johannsson, Olivia
Townsend, Bea
Powell, Sophie
Lipskis, Britani
Evans, Natalie
Mastrogiannopoulou, Melita
Roy, Jessica
Marlowe, Helen
Smith, Lucie
Watters, Elliot
Goldie, Rebecca
Zingman, Alisa
Follett, Charlie
Chong, Sophie

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