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Pairing Images of Unhealthy and Healthy Foods With Images of Negative and Positive Health Consequences: Impact on Attitudes and Food Choice

Overview of attention for article published in Health Psychology, August 2016
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Title
Pairing Images of Unhealthy and Healthy Foods With Images of Negative and Positive Health Consequences: Impact on Attitudes and Food Choice
Published in
Health Psychology, August 2016
DOI 10.1037/hea0000293
Pubmed ID
Authors

Gareth J. Hollands, Theresa M. Marteau

Abstract

To examine the impact of presenting images of foods paired with images of positive and negative health consequences of their consumption on food choice and attitudes. Participants (N = 711) were randomly allocated in a 2 × 3 factorial design (Food Type × Affective Valence) to 1 of 6 conditioning procedures that paired images of either energy-dense snack foods or fruit, with (a) images of negative health outcomes, (b) images of positive health outcomes, or (c) a no image control. The primary outcome was food choice assessed postintervention with a behavioral choice task. Secondary outcomes were implicit attitudes (assessed pre- and postintervention) and explicit attitudes (assessed postintervention). Presenting images of negative health outcomes led to more healthy food choices relative to control and positive image conditions, irrespective of whether they were paired with images of energy-dense snack foods or fruit. This relationship was partially mediated by changes in implicit and explicit attitudes. Images of positive health outcomes did not alter food choices. This study replicates and extends previous research showing that presenting images of negative health consequences increases healthy food choices. Because effects were elicited by manipulating affective valence irrespective of paired food type, these results appear more consistent with an explanation based on priming than on evaluative conditioning. (PsycINFO Database Record

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 112 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 21%
Student > Bachelor 19 17%
Researcher 15 13%
Student > Master 11 10%
Student > Doctoral Student 9 8%
Other 8 7%
Unknown 26 23%
Readers by discipline Count As %
Psychology 42 38%
Nursing and Health Professions 10 9%
Medicine and Dentistry 7 6%
Social Sciences 5 4%
Agricultural and Biological Sciences 3 3%
Other 15 13%
Unknown 30 27%