Stimulus-response compatibility tests of implicit preference for food and body image to identify people at risk for disordered eating: a validation study

Khan, Saira and Petroczi, Andrea (2015) Stimulus-response compatibility tests of implicit preference for food and body image to identify people at risk for disordered eating: a validation study. Eating Behaviors, 16, pp. 54-63. ISSN (print) 1471-0153

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Abstract

The aim of this study was to incorporate implicit measures of relevant social cognition into eating disorder research. Fifty-three females diagnosed with an eating disorder (ED), and 41 at-risk females were recruited via ED support websites, along with 23 healthy females for comparison. Computerised online tests assessing subconscious normative ideal body image (IBI-BIAT) and personalised self-identification body image (PBI-BIAT) associations and food preferences (FP-AAT) were administered, followed by the modified version of the Eating Disorder Examination Questionnaire (EDE-Q). Anthropometric data, age, need for social approval, self-reported measures of self-esteem, normative perception and body image satisfaction were recorded. Self-reported diagnosed ED status was corroborated with BMI and EDE-Q. Diagnostic performance of the implicit measures was assessed with ROC analysis. Those diagnosed with ED showed significantly stronger automatic preferences for and self-identification with thin body image, compared to healthy females, but no differences were found in food preferences. The IBI-BIAT showed better diagnostic power than PBI-BIAT, correctly classifying 87% of the diagnosed participants. No correlation was found between IBI-BIAT and the explicit measures. The results suggest that the underlying subconscious social cognitive factors of pathological eating are linked to body image, not to food items per s

Item Type: Article
Uncontrolled Keywords: implicit association test, approach avoidance task, automatic motivation, eating disorder, restricted eating, attitude
Research Area: Allied health professions and studies
Faculty, School or Research Centre: Faculty of Science, Engineering and Computing
Faculty of Science, Engineering and Computing > School of Life Sciences
Depositing User: Automatic Import Agent
Date Deposited: 19 Jan 2015 19:00
Last Modified: 03 Dec 2015 14:05
URI: http://eprints.kingston.ac.uk/id/eprint/30236

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