Literature DB >> 20379149

Cognitive biases to healthy and unhealthy food words predict change in BMI.

Raff Calitri1, Emmanuel M Pothos, Katy Tapper, Jeffrey M Brunstrom, Peter J Rogers.   

Abstract

The current study explored the predictive value of cognitive biases to food cues (assessed by emotional Stroop and dot probe tasks) on weight change over a 1-year period. This was a longitudinal study with undergraduate students (N = 102) living in shared student accommodation. After controlling for the effects of variables associated with weight (e.g., physical activity, stress, restrained eating, external eating, and emotional eating), no effects of cognitive bias were found with the dot probe. However, for the emotional Stroop, cognitive bias to unhealthy foods predicted an increase in BMI whereas cognitive bias to healthy foods was associated with a decrease in BMI. Results parallel findings in substance abuse research; cognitive biases appear to predict behavior change. Accordingly, future research should consider strategies for attentional retraining, encouraging individuals to reorient attention away from unhealthy eating cues.

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Year:  2010        PMID: 20379149     DOI: 10.1038/oby.2010.78

Source DB:  PubMed          Journal:  Obesity (Silver Spring)        ISSN: 1930-7381            Impact factor:   5.002


  23 in total

1.  Effects of mu opioid receptor antagonism on cognition in obese binge-eating individuals.

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Journal:  Psychopharmacology (Berl)       Date:  2012-07-03       Impact factor: 4.530

2.  Electrophysiological evidence for enhanced representation of food stimuli in working memory.

Authors:  Femke Rutters; Sanjay Kumar; Suzanne Higgs; Glyn W Humphreys
Journal:  Exp Brain Res       Date:  2014-10-30       Impact factor: 1.972

3.  Pilot test of a novel food response and attention training treatment for obesity: Brain imaging data suggest actions shape valuation.

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Review 4.  Human cognitive function and the obesogenic environment.

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Journal:  Physiol Behav       Date:  2014-03-11

5.  Implications of learning theory for developing programs to decrease overeating.

Authors:  Kerri N Boutelle; Mark E Bouton
Journal:  Appetite       Date:  2015-05-18       Impact factor: 3.868

Review 6.  Neural vulnerability factors for obesity.

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

Review 7.  Managing temptation in obesity treatment: A neurobehavioral model of intervention strategies.

Authors:  Bradley M Appelhans; Simone A French; Sherry L Pagoto; Nancy E Sherwood
Journal:  Appetite       Date:  2015-10-22       Impact factor: 3.868

8.  Computational Modeling Applied to the Dot-Probe Task Yields Improved Reliability and Mechanistic Insights.

Authors:  Rebecca B Price; Vanessa Brown; Greg J Siegle
Journal:  Biol Psychiatry       Date:  2018-10-05       Impact factor: 13.382

9.  OneNote Meal: A Photo-Based Diary Study for Reflective Meal Tracking.

Authors:  Johnna Blair; Yuhan Luo; Ning F Ma; Sooyeon Lee; Eun Kyoung Choe
Journal:  AMIA Annu Symp Proc       Date:  2018-12-05

Review 10.  Neural vulnerability factors that increase risk for future weight gain.

Authors:  Eric Stice; Sonja Yokum
Journal:  Psychol Bull       Date:  2016-02-08       Impact factor: 17.737

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