Literature DB >> 24411764

Attentional bias modification encourages healthy eating.

Naomi Kakoschke1, Eva Kemps2, Marika Tiggemann2.   

Abstract

The continual exposure to unhealthy food cues in the environment encourages poor dietary habits, in particular consuming too much fat and sugar, and not enough fruit and vegetables. According to Berridge's (2009) model of food reward, unhealthy eating is a behavioural response to biased attentional processing. The present study used an established attentional bias modification paradigm to discourage the consumption of unhealthy food and instead promote healthy eating. Participants were 146 undergraduate women who were randomly assigned to two groups: one was trained to direct their attention toward pictures of healthy food ('attend healthy' group) and the other toward unhealthy food ('attend unhealthy' group). It was found that participants trained to attend to healthy food cues demonstrated an increased attentional bias for such cues and ate relatively more of the healthy than unhealthy snacks compared to the 'attend unhealthy' group. Theoretically, the results support the postulated link between biased attentional processing and consumption (Berridge, 2009). At a practical level, they offer potential scope for interventions that focus on eating well.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Attentional bias modification; Consumption; Food cues; Modified visual probe task

Mesh:

Year:  2013        PMID: 24411764     DOI: 10.1016/j.eatbeh.2013.11.001

Source DB:  PubMed          Journal:  Eat Behav        ISSN: 1471-0153


  26 in total

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Authors:  Eric Stice; Sonja Yokum; Harm Veling; Eva Kemps; Natalia S Lawrence
Journal:  Behav Res Ther       Date:  2017-04-19

Review 2.  Human cognitive function and the obesogenic environment.

Authors:  Ashley A Martin; Terry L Davidson
Journal:  Physiol Behav       Date:  2014-03-11

Review 3.  Neural vulnerability factors for obesity.

Authors:  Eric Stice; Kyle Burger
Journal:  Clin Psychol Rev       Date:  2018-12-19

4.  Attentional bias to food cues in youth with loss of control eating.

Authors:  Lisa M Shank; Marian Tanofsky-Kraff; Eric E Nelson; Lauren B Shomaker; Lisa M Ranzenhofer; Louise M Hannallah; Sara E Field; Anna Vannucci; Diana M Bongiorno; Sheila M Brady; Tania Condarco; Andrew Demidowich; Nichole R Kelly; Omni Cassidy; W Kyle Simmons; Scott G Engel; Daniel S Pine; Jack A Yanovski
Journal:  Appetite       Date:  2014-11-27       Impact factor: 3.868

5.  Food-Cal: development of a controlled database of high and low calorie food matched with non-food pictures.

Authors:  Rebecca Shankland; Pauline Favre; Damien Corubolo; David Méary; Valentin Flaudias; Martial Mermillod
Journal:  Eat Weight Disord       Date:  2019-04-12       Impact factor: 4.652

Review 6.  Promising technological innovations in cognitive training to treat eating-related behavior.

Authors:  Evan M Forman; Stephanie P Goldstein; Daniel Flack; Brittney C Evans; Stephanie M Manasse; Cara Dochat
Journal:  Appetite       Date:  2017-04-14       Impact factor: 3.868

7.  Enhancing efficacy of a dissonance-based obesity and eating disorder prevention program: Experimental therapeutics.

Authors:  Eric Stice; Paul Rohde; Jeff M Gau; Meghan L Butryn; Heather Shaw; Kasie Cloud; Laura D'Adamo
Journal:  J Consult Clin Psychol       Date:  2021-10

8.  Targeting self-regulation to promote health behaviors in children.

Authors:  Alison L Miller; Ashley N Gearhardt; Emily M Fredericks; Benjamin Katz; Lilly Fink Shapiro; Kelsie Holden; Niko Kaciroti; Richard Gonzalez; Christine Hunter; Julie C Lumeng
Journal:  Behav Res Ther       Date:  2017-09-28

9.  Reduced Inhibition of Return to Food Images in Obese Individuals.

Authors:  Megan A Carters; Elizabeth Rieger; Jason Bell
Journal:  PLoS One       Date:  2015-09-16       Impact factor: 3.240

10.  A Cognitive Profile of Obesity and Its Translation into New Interventions.

Authors:  Anita Jansen; Katrijn Houben; Anne Roefs
Journal:  Front Psychol       Date:  2015-11-27
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