Literature DB >> 12573930

Cognitive interference due to food cues in childhood obesity.

Caroline Braet1, Geert Crombez.   

Abstract

Investigated specific information-processing biases for food-relevant stimuli in 34 children, Mage = 13 years, SD = 2 years, M = 177% of ideal weight, SD = 24%, who were completing a residential cognitive-behavioral treatment program for severe obesity and 40 matched control children who were not obese, Mage = 13 years, SD = 2 years, M = 103% of ideal weight, SD = 13%. Participants completed a computerized modified Stroop task, which included food words, negative-emotion words, and control words. Results indicated that children in the obesity group displayed a specific interference effect for food words. It is hypothesized that the observed bias in information processing reflects hypersensitivity for food cues, which can initiate or maintain dysfunctional eating behavior.

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Mesh:

Year:  2003        PMID: 12573930     DOI: 10.1207/S15374424JCCP3201_04

Source DB:  PubMed          Journal:  J Clin Child Adolesc Psychol        ISSN: 1537-4416


  30 in total

1.  The Pictorial Fire Stroop: a measure of processing bias for fire-related stimuli.

Authors:  Joanne Gallagher-Duffy; Sherri MacKay; Jim Duffy; Meara Sullivan-Thomas; Michele Peterson-Badali
Journal:  J Abnorm Child Psychol       Date:  2009-11

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.  Differential effect of glucose ingestion on the neural processing of food stimuli in lean and overweight adults.

Authors:  Martin Heni; Stephanie Kullmann; Caroline Ketterer; Martina Guthoff; Margarete Bayer; Harald Staiger; Fausto Machicao; Hans-Ulrich Häring; Hubert Preissl; Ralf Veit; Andreas Fritsche
Journal:  Hum Brain Mapp       Date:  2013-01-10       Impact factor: 5.038

Review 4.  Human cognitive function and the obesogenic environment.

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

Review 5.  Neural vulnerability factors for obesity.

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

6.  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

7.  Attentional bias to food images associated with elevated weight and future weight gain: an fMRI study.

Authors:  Sonja Yokum; Janet Ng; Eric Stice
Journal:  Obesity (Silver Spring)       Date:  2011-06-16       Impact factor: 5.002

8.  Fruit and vegetables are similarly categorised by 8-13-year-old children.

Authors:  Karina Knight Sepulveda; Alicia Beltran; Kathy Watson; Tom Baranowski; Janice Baranowski; Noemi Islam; Mariam Missaghian
Journal:  Public Health Nutr       Date:  2008-06-19       Impact factor: 4.022

9.  Appetitive traits from infancy to adolescence: using behavioral and neural measures to investigate obesity risk.

Authors:  Susan Carnell; Leora Benson; Katherine Pryor; Elissa Driggin
Journal:  Physiol Behav       Date:  2013-02-28

10.  Selective processing of food words during insulin-induced hypoglycemia in healthy humans.

Authors:  Stuart Brody; Ulrich Keller; Lukas Degen; Daniel J Cox; Hartmut Schächinger
Journal:  Psychopharmacology (Berl)       Date:  2004-01-15       Impact factor: 4.530

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