Literature DB >> 26375358

Derailing the streetcar named desire. Cognitive distractions reduce individual differences in cravings and unhealthy snacking in response to palatable food.

Lotte F van Dillen1, Jackie Andrade2.   

Abstract

People who are sensitive to food temptations are prone to weight gain and obesity in food-rich environments. Understanding the factors that drive their desire to eat is key to limiting their reactions to available food. This study tested whether individual differences in sensitivity to hedonic food cues are cognitively based and, accordingly, can be regulated by blocking cognitive resources. To this end, one lab study (Study 1; N = 91) and one field study (Study 2; N = 63) measured sensitivity to hedonic food cues using the Power of Food Scale (PFS; Lowe et al., 2009) and assessed participants' appetitive responses to high-calorie food options. To test the role of cognitive elaboration of food cues, participants completed a menu-selection task to induce food cravings and then were free to elaborate those cravings (control group) or were blocked from doing so by cognitive distraction (playing Tetris, solving puzzles; experimental group). Compared to non-sensitive participants, sensitive participants displayed a greater attentional bias to high-calorie food (Study 1), reported stronger cravings (Study 2), and more often chose an unhealthy snack (Studies 1 & 2), but only when they had not been distracted. When distracted, all participants were similarly unresponsive to high-calorie food. This finding suggests that temptation can be effectively controlled by blocking people's cognitive resources, even for people highly sensitive to hedonic food cues.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Attention; Craving; Distraction; Impulsive eating; Individual differences

Mesh:

Year:  2015        PMID: 26375358     DOI: 10.1016/j.appet.2015.09.013

Source DB:  PubMed          Journal:  Appetite        ISSN: 0195-6663            Impact factor:   3.868


  11 in total

1.  Lack of prospective relationships of the Power of Food Scale with Body Mass Index and dieting over 2 years in U.S. emerging adults.

Authors:  Leah M Lipsky; Tonja R Nansel; Denise L Haynie; Danping Liu; Miriam H Eisenberg Colman; Bruce Simons-Morton
Journal:  Eat Behav       Date:  2019-05-17

2.  Validity of assessing child feeding with virtual reality.

Authors:  Susan Persky; Megan R Goldring; Sara A Turner; Rachel W Cohen; William D Kistler
Journal:  Appetite       Date:  2017-12-23       Impact factor: 3.868

3.  Playing Around with Quitting Smoking: A Randomized Pilot Trial of Mobile Games as a Craving Response Strategy.

Authors:  Tanya R Schlam; Timothy B Baker
Journal:  Games Health J       Date:  2019-09-19

4.  Working memory load reduces the electrocortical processing of positive pictures.

Authors:  Blake Barley; Elizabeth A Bauer; Kayla A Wilson; Annmarie MacNamara
Journal:  Cogn Affect Behav Neurosci       Date:  2021-03-10       Impact factor: 3.282

5.  (No) escape from reality? Cigarette craving in virtual smoking environments.

Authors:  Gert-Jan de Bruijn; Joost de Vries; Catherine Bolman; Reinout Wiers
Journal:  J Behav Med       Date:  2020-07-24

6.  Greater Food Reward Sensitivity Is Associated with More Frequent Intake of Discretionary Foods in a Nationally Representative Sample of Young Adults.

Authors:  Tonja R Nansel; Leah M Lipsky; Miriam H Eisenberg; Denise L Haynie; Danping Liu; Bruce Simons-Morton
Journal:  Front Nutr       Date:  2016-08-18

7.  Functional Brain Networks: Unique Patterns with Hedonic Appetite and Confidence to Resist Eating in Older Adults with Obesity.

Authors:  Jonathan H Burdette; Paul J Laurienti; Laura L Miron; Mohsen Bahrami; Sean L Simpson; Barbara J Nicklas; Jason Fanning; W Jack Rejeski
Journal:  Obesity (Silver Spring)       Date:  2020-11-01       Impact factor: 5.002

8.  The accelerator, the brake, and the terrain: associations of reward-related eating, self-regulation, and the home food environment with diet quality during pregnancy and postpartum in the pregnancy eating attributes study (PEAS) cohort.

Authors:  Tonja R Nansel; Leah M Lipsky; Myles Faith; Aiyi Liu; Anna Maria Siega-Riz
Journal:  Int J Behav Nutr Phys Act       Date:  2020-11-23       Impact factor: 6.457

9.  Tuning down the hedonic brain: Cognitive load reduces neural responses to high-calorie food pictures in the nucleus accumbens.

Authors:  Lotte F van Dillen; Henk van Steenbergen
Journal:  Cogn Affect Behav Neurosci       Date:  2018-06       Impact factor: 3.282

Review 10.  A narrative review of the construct of hedonic hunger and its measurement by the Power of Food Scale.

Authors:  H M Espel-Huynh; A F Muratore; M R Lowe
Journal:  Obes Sci Pract       Date:  2018-02-28
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