Executive Functioning and Psychological Symptoms in Food Addiction: a Study Among Individuals with Severe Obesity

Overview

Journal Eat Weight Disord

Publisher Springer

Date 2018 Jun 28

PMID 29947017

Citations 23

Authors

Christopher Rodrigue

Anne-Sophie Ouellette

Simone Lemieux

Andre Tchernof

Laurent Biertho

Catherine Begin

Affiliations

Soon will be listed here.

Abstract

Food addiction (FA) has recently emerged as a new field in the study of obesity. Previous studies have contributed to identifying psychological correlates of FA. However, few researchers have examined the cognitive profile related to this condition; up until now, attentional biases related to food cues and a poorer performance monitoring have been observed. The present study aimed to examine the psychological profile and executive functioning related to FA in individuals with severe obesity and awaiting bariatric surgery. Participants (N = 86) were split into two groups, according to their level of FA symptoms (low FA vs high FA). Groups were compared on questionnaires measuring binge eating, depression and anxiety symptoms, and impulsivity as well as on measures reflecting executive functioning (D-KEFS and BRIEF-A). The relationship between FA groups and patterns of errors during the D-KEFS' Color-Word Interference Test was further analyzed. Individuals within the high FA group reported significantly more binge eating, depressive and anxiety symptoms, and more metacognitive difficulties. They also tended to show a poorer inhibition/cognitive flexibility score and a typical pattern of errors, characterized by an increased number of errors as the tasks' difficulty rose as opposed to a decreased number of errors, which characterizes an atypical pattern of errors. The present results show that the inability to learn from errors or past experiences is related to the severity of FA and overall impairments.Level of evidence Level V, descriptive study.

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References

Berg J, Swan N, Banks S, Miller J . Atypical performance patterns on Delis-Kaplan Executive Functioning System Color-Word Interference Test: Cognitive switching and learning ability in older adults. J Clin Exp Neuropsychol. 2016; 38(7):745-51. DOI: 10.1080/13803395.2016.1161734. View

Imperatori C, Fabbricatore M, Innamorati M, Farina B, Quintiliani M, Lamis D . Modification of EEG functional connectivity and EEG power spectra in overweight and obese patients with food addiction: An eLORETA study. Brain Imaging Behav. 2014; 9(4):703-16. DOI: 10.1007/s11682-014-9324-x. View

Hruby A, Manson J, Qi L, Malik V, Rimm E, Sun Q . Determinants and Consequences of Obesity. Am J Public Health. 2016; 106(9):1656-62. PMC: 4981805. DOI: 10.2105/AJPH.2016.303326. View

Burmeister J, Hinman N, Koball A, Hoffmann D, Carels R . Food addiction in adults seeking weight loss treatment. Implications for psychosocial health and weight loss. Appetite. 2012; 60(1):103-110. DOI: 10.1016/j.appet.2012.09.013. View

Franken I, Van Strien J, Franzek E, van de Wetering B . Error-processing deficits in patients with cocaine dependence. Biol Psychol. 2007; 75(1):45-51. DOI: 10.1016/j.biopsycho.2006.11.003. View

Imperatori C, Fabbricatore M, Vumbaca V, Innamorati M, Contardi A, Farina B . Food Addiction: definition, measurement and prevalence in healthy subjects and in patients with eating disorders. Riv Psichiatr. 2016; 51(2):60-5. DOI: 10.1708/2246.24196. View

Rothman K . BMI-related errors in the measurement of obesity. Int J Obes (Lond). 2008; 32 Suppl 3:S56-9. DOI: 10.1038/ijo.2008.87. View

Gustafson D, Rothenberg E, Blennow K, Steen B, Skoog I . An 18-year follow-up of overweight and risk of Alzheimer disease. Arch Intern Med. 2003; 163(13):1524-8. DOI: 10.1001/archinte.163.13.1524. View

Meule A, Heckel D, Kubler A . Factor structure and item analysis of the Yale Food Addiction Scale in obese candidates for bariatric surgery. Eur Eat Disord Rev. 2012; 20(5):419-22. DOI: 10.1002/erv.2189. View

10.

Brewerton T . Food addiction as a proxy for eating disorder and obesity severity, trauma history, PTSD symptoms, and comorbidity. Eat Weight Disord. 2017; 22(2):241-247. DOI: 10.1007/s40519-016-0355-8. View

11.

Flint A, Gearhardt A, Corbin W, Brownell K, Field A, Rimm E . Food-addiction scale measurement in 2 cohorts of middle-aged and older women. Am J Clin Nutr. 2014; 99(3):578-86. PMC: 3927691. DOI: 10.3945/ajcn.113.068965. View

12.

Frayn M, Sears C, von Ranson K . A sad mood increases attention to unhealthy food images in women with food addiction. Appetite. 2016; 100:55-63. DOI: 10.1016/j.appet.2016.02.008. View

13.

Kivipelto M, Ngandu T, Fratiglioni L, Viitanen M, Kareholt I, Winblad B . Obesity and vascular risk factors at midlife and the risk of dementia and Alzheimer disease. Arch Neurol. 2005; 62(10):1556-60. DOI: 10.1001/archneur.62.10.1556. View

14.

Hardy R, Fani N, Jovanovic T, Michopoulos V . Food addiction and substance addiction in women: Common clinical characteristics. Appetite. 2017; 120:367-373. PMC: 5680129. DOI: 10.1016/j.appet.2017.09.026. View

15.

Ivezaj V, White M, Grilo C . Examining binge-eating disorder and food addiction in adults with overweight and obesity. Obesity (Silver Spring). 2016; 24(10):2064-9. PMC: 5039112. DOI: 10.1002/oby.21607. View

16.

Steinberg L, Sharp C, Stanford M, Teten Tharp A . New tricks for an old measure: the development of the Barratt Impulsiveness Scale-Brief (BIS-Brief). Psychol Assess. 2012; 25(1):216-26. DOI: 10.1037/a0030550. View

17.

Wolz I, Granero R, Fernandez-Aranda F . A comprehensive model of food addiction in patients with binge-eating symptomatology: The essential role of negative urgency. Compr Psychiatry. 2017; 74:118-124. DOI: 10.1016/j.comppsych.2017.01.012. View

18.

Meule A . Food addiction and body-mass-index: a non-linear relationship. Med Hypotheses. 2012; 79(4):508-11. DOI: 10.1016/j.mehy.2012.07.005. View

19.

Clark S, Saules K . Validation of the Yale Food Addiction Scale among a weight-loss surgery population. Eat Behav. 2013; 14(2):216-9. DOI: 10.1016/j.eatbeh.2013.01.002. View

20.

Noel X, Brevers D, Bechara A . A neurocognitive approach to understanding the neurobiology of addiction. Curr Opin Neurobiol. 2013; 23(4):632-8. PMC: 3670974. DOI: 10.1016/j.conb.2013.01.018. View