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The epidemiology and genetics of binge eating disorder (BED)

Published online by Cambridge University Press:  10 August 2015

Caroline Davis
Caroline Davis*
Affiliation:
Kinesiology & Health Sciences, York University, Toronto, Ontario, Canada
*
*Address for correspondence: Professor Caroline Davis, 343 Bethune College, York University, 4700 Keele Street, Toronto, ON, M3J 1P3, Canada. (Email: cdavis@yorku.ca)
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Abstract

This narrative review provides an overview of the epidemiology of binge eating disorder (BED), highlighting the medical history of this disorder and its entry as an independent condition in the Feeding and Eating Disorders section of the recently published Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition. Estimates of prevalence are provided, as well as recognition that the female to male ratio is lower in BED than in other eating disorders. Evidence is also provided of the most common comorbidities of BED, including mood and anxiety disorders and a range of addiction disorders. In addition, discussion of the viewpoint that BED itself may be an addiction — at least in severe cases — is presented. Although the genetic study of BED is still in its infancy, current research is reviewed with a focus on certain neurotransmitter genes that regulate brain reward mechanisms. To date, a focal point of this research has been on the dopamine and the μ-opioid receptor genes. Preliminary evidence suggests that a predisposing risk factor for BED may be a heightened sensitivity to reward, which could manifest as a strong dopamine signal in the brain’s striatal region. Caution is encouraged, however, in the interpretation of current findings, since samples are relatively small in much of the research. To date, no genome-wide association studies have focused exclusively on BED.

Keywords

BEDbinge eating disorderdopamine geneticsepidemiologyopioids
Type
Review Articles
Information
CNS Spectrums , Volume 20 , Special Issue 6: Binge Eating Disorder Differentiating from General Obesity , December 2015 , pp. 522 - 529
Copyright
© Cambridge University Press 2015 

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Footnotes

†

As early as 1955, a related syndrome was reported.5 Found in certain obese individuals, it was referred to as night-eating syndrome and was characterized by “nocturnal hyperphasia, insomnia and morning anorexia” (p. 78).5 This condition appeared to be most prominent during periods of stress and weight gain. The 1950s also saw a few isolated publications about so-called “food addiction” by Randolph,6 but this putative condition also did not gain widespread acceptance for another 30 or 40 years.

References

1. Flegal, KM, Carroll, MD, Kit, BK, et al. Prevalence of obesity and trends in the distribution of body mass index among US adults, 1999–2010. JAMA. 2012; 307(5): 491–497.Google Scholar
2. Walls, HL, Magliano, DJ, Stevenson, CE, et al. Projected prevalence of obesity in Australia. Obesity. 2012; 20(4): 872–878.CrossRefGoogle ScholarPubMed
3. Sturm, R. Increases in clinically severe obesity in the United States, 1986–2000. Arch Intern Med. 2003; 163(18): 2146–2148.CrossRefGoogle ScholarPubMed
4. Spitzer, RL, Devlin, MJ, Walsh, BT, et al. Binge eating disorder – to be or not to be in DSM-IV. Int J Eat Disord. 1991; 10(6): 627–629.Google Scholar
5. Stunkard, AJ, Grace, WJ, Wolff, HG. The night-eating syndrome. Am J Med. 1955; 19(1): 78–86.Google Scholar
6. Randolph, TG. The descriptive features of food addiction — addictive eating and drinking. Q J Stud Alcohol. 1956; 17(2): 198–224.CrossRefGoogle ScholarPubMed
7. Davis, C. From passive overeating to “food addiction”: a spectrum of compulsion and severity. ISRN Obesity. 2013; 2013 Article ID 435027.Google Scholar
8. Chun, OK, Chung, CE, Wang, Y, Padgitt, A, Song, WO. Changes in intake of total and added sugar and their contributions to energy intake in the U.S. Nutrients. 2010; 2(8): 834–854.Google Scholar
9. Davis, C. Evolutionary and neuropsychological perspective on addictive behaviors and addictive substances: relevance to the “food addiction” construct. Subst Abuse Rehabil. 2014; 5: 129–137.CrossRefGoogle Scholar
10. Lustig, RH. Fructose: it’s “alcohol without the buzz.” Adv Nutr. 2013; 4(2): 226–235.Google Scholar
11. Griffith, L. Culture‐bound syndrome. In Cockerham W, Dingwall R, Quah SR, eds. The Wiley Blackwell Encyclopedia of Health, Illness, Behavior, and Society. Wiley-Blackwell;2014.Google Scholar
12. Keel, PK, Klump, KL. Are eating disorders culture-bound syndromes? Implications for conceptualizing their etiology. Psychol Bull. 2003; 129(5): 747–769.Google Scholar
13. Nesse, RM, Williams, GC. Why We Get Sick. New York: Random House; 1994.Google Scholar
14. Saad, G. Evolutionary consumption. J Consum Psychol. 2013; 23(3): 351–371.Google Scholar
15. Javaras, KN, Laird, NM, Reichborn-Kjennerud, T, Bulik, CM, Pope, HG Jr, Hudson, JI. Familiarity and heritability of binge eating disorder: results of a case-control family study and a twin study. Int J Eat Disord. 2008; 41(2): 174–179.Google Scholar
16. Reichborn-Kjennerud, T, Bulik, CM, Tambs, K, Harris, JR. Genetic and environmental influences on binge eating in the absence of compensatory behaviors: a population-based twin study. Int J Eat Disord. 2004; 36(3): 307–314.CrossRefGoogle ScholarPubMed
17. Mitchell, KS, Neale, MC, Bulik, CM, Aggen, SH, Kendler, KS, Mazzeo, SE. Binge eating disorder: a symptom-level investigation of genetic and environmental influences on liability. Psychol Med. 2010; 40(11): 1899–1906.Google Scholar
18. Hudson, JI, Hiripi, E, Pope, HG Jr, Kessler, RC. The prevalence and correlates of eating disorders in the National Comorbidity Survey replication. Biol Psychiatry. 2007; 61(3): 348–358.Google Scholar
19. Stice, E, Marti, N, Rohde, P. Prevalence, incidence, impairment, and course of the proposed DSM-5 eating disorder diagnoses in an 8 year prospective community study of young women. J Abnorm Psychol. 2013; 122(2): 445–457.Google Scholar
20. Grucza, RA, Przybeck, TR, Cloninger, CR. Prevalence and correlates of binge eating disorder in a community sample. Compr Psychiatry. 2007; 48(2): 124–131.Google Scholar
21. Kessler, RC, Berglund, PA, Chui, WT, et al. The prevalence and correlates of binge eating disorder in the World Health Organization World Mental Health Surveys. Biol Psychiatry. 2013; 73(9): 904–914.Google Scholar
22. Machado, PP, Gonçalves, S, Hoek, HW. DSM-5 reduces the proportion of EDNOS cases: evidence from community samples. Int J Eat Disord. 2013; 46(1): 60–65.Google Scholar
23. Ribeiro, M, Conceição, E, Vaz, AR, Machado, PP. The prevalence of binge eating disorder in a sample of college students in the north of Portugal. Eur Eat Disord Rev. 2014; 22(3): 185–190.Google Scholar
24. Brewerton, TD, Rance, SJ, Dansky, BS, O’Neil, PM, Kilpatrick, DG. A comparison of women with child-adolescent versus adult onset binge eating: results from the National Women’s Study. Int J Eat Disord. 2014; 47(7): 836–843.Google Scholar
25. American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders, 5th ed. Washington, DC: American Psychiatric Association; 2013.Google Scholar
26. American Psychiatric Association. Diagnostic and Statistical Manualof Mental Disorders, 4th ed, rev. Washington, DC: American Psychiatric Association; 1994.Google Scholar
27. Hudson, JI, Coit, CE, Lalonde, JK, Pope, HG Jr. By how much will the proposed new DSM-5 criteria increase the prevalence of binge eating disorder? Int J Eat Disord. 2012; 45(1): 139–141.Google Scholar
28. Striegel, RH, Bedrosian, R, Wang, C, Schwartz, S. Why men should be included in research on binge eating: results from a comparison of psychosocial impairments in men and women. Int J Eat Disord. 2012; 45(2): 233–240.CrossRefGoogle ScholarPubMed
29. Ágh, T, Kovács, G, Pawaskar, M, Supina, D, Inotai, A, Vokó, Z. Epidemiology, health-related quality of life and economic burden of binge eating disorder: a systematic literature review. Eat Weight Disord. 2015; 20(1): 1–12.Google Scholar
30. Klump, KL, Racine, S, Hildebrandt, B, Sisk, CL. Sex differences in binge eating patterns in male and female adult rats. Int J Eat Disord. 2013; 46(7): 729–736.CrossRefGoogle ScholarPubMed
31. Udo, T, McKee, SA, White, MA, Masheb, RM, Barnes, RD, Grilo, CM. Sex differences in biopsychosocial correlates of binge eating disorder: a study of treatment-seeking obese adults in primary care setting. Gen Hosp Psychiatry. 2013; 35(6): 587–591.Google Scholar
32. Guerdjikova, AI, Blom, TJ, Mori, N, Casuto, L, Keck, PE Jr, McElroy, SL. Gender differences in binge eating disorder: a pooled analysis of eleven pharmacotherapy trials from one research group. J Mens Health. 2014; 11(4): 183–188.Google Scholar
33. Marcus, MD, Wildes, JE. Disordered eating in obese individuals. Curr Opin Psychiatry. 2014; 27(6): 443–447.Google Scholar
34. Dahl, JK, Erikson, L, Vedul-Kjelsås, E, et al. Prevalence of all relevant eating disorders I patients waiting for bariatric surgery: a comparison between patients with and without eating disorders. Eat Weight Disord. 2010; 15(4): 247–255.Google Scholar
35. Vinai, P, Da Ros, A, Speciale, M, et al. Psychopathological characteristics of patients seeking for bariatric surgery, either affected or not by binge eating disorder following the criteria of the DSM IV TR and of the DSM 5. Eat Behav. 2015; 16: 1–4.Google Scholar
36. Ricca, V, Castellini, G, Lo Sauro, C, et al. Correlations between binge eating and emotional eating in a sample of overweight subjects. Appetite. 2009; 53(3): 418–421.Google Scholar
37. Marek, RJ, Ben-Porath, YS, Ashton, K, Heinberg, LJ. Impact of using DSM-5 criteria for diagnosing binge eating disorder in bariatric surgery candidates: change in prevalence rate, demographic characteristics, and scores on the Minnesota Multiphasic Personality Inventory–2 Restructured Form (MMPI-2-RF). Int J Eat Disord. 2014; 47(5): 553–557.Google Scholar
38. de Zwaan, M, Hilbert, A, Swan-Kremeier, L, et al. Comprehensive interview assessment of eating behavior 18–35 months after gastric bypass surgery for morbid obesity. Surg Obes Relat Dis. 2010; 6(1): 79–85.Google Scholar
39. Sheets, CS, Peat, CM, Berg, KC, et al. Post-operative psychosocial predictors of outcome in bariatric surgery. Obes Surg. 2015; 25(2): 330–345.Google Scholar
40. Wimmelmann, CL, Dela, F, Mortensen, EL. Psychosocial predictors of weight loss after bariatric surgery: a review of the recent research. Obes Res Clin Pract. 2014; 8(4): e299–e313.Google Scholar
41. Marek, RJ, Ben-Porath, YS, Ashton, K, Heinberg, LJ. Minessota Multiphasic Personality Inventory–2 Restructured Form (MMPI-2-RF) scale score differences in bariatric surgery candidates diagnoses with binge eating disorder versus BMI-matched controls. Int J Eat Disord. 2014; 47(3): 315–319.Google Scholar
42. Grilo, CM, White, MA, Barnes, RD, Masheb, RM. Psychiatric disorder co-morbidity and correlates in an ethnically diverse sample of obese patients with binge eating disorder in primary care settings. Compr Psychiatry. 2013; 54(3): 209–216.Google Scholar
43. Grilo, CM. Significance of alcohol use disorders in binge eating disorder: a controlled study of co-morbidity. Alcohol and Alcoholism. 2011; 46(Suppl 1): 35.Google Scholar
44. Yip, SW, White, MA, Grilo, CM, Potenza, MN. An exploratory study of clinical measures associated with subsyndromal pathological gambling in patients with binge eating disorder. J Gambl Stud. 2011; 27(2): 257–279.Google Scholar
45. Muller, A, Mitchell, JE. Internet shopping from a psychiatric perspective. Psychiatric Annals. 2014; 44(8): 384–387.Google Scholar
46. Small, DG, Jones, PS, Williams, GB, Bullmore, ET, Robbins, TW, Ersche, KD. Overlapping decline in orbitofrontal gray matter volume related to cocaine use and body mass index. Addict Biol. 2013; 20(1): 194–196.Google Scholar
47. Gearhardt, AN, Corbin, WR, Brownell, KD. Preliminary validation of the Yale Food Addiction Scale. Appetite. 2009; 52(2): 430–436.Google Scholar
48. Davis, C, Curtis, C, Levitan, RD, Carter, JC, Kaplan, AS, Kennedy, JL. Evidence that ‘food addiction’ is a valid phenotype of obesity. Appetite. 2011; 57(3): 711–717.CrossRefGoogle ScholarPubMed
49. Gearhardt, AN, White, MA, Masheb, RM, Morgan, PT, Crosby, RD, Grilo, CM. An examination of the food addiction construct in obese patients with binge eating disorder. Int J Eat Disord. 2012; 45(5): 657–663.Google Scholar
50. Cassin, SE, von Ranson, KM. Is binge eating experienced as an addiction? Appetite. 2007; 49(3): 687–690.CrossRefGoogle ScholarPubMed
51. Davis, C. Compulsive overeating as an addictive behavior: overlap between food addiction and binge eating disorder. Curr Obes Rep. 2013; 2(2): 171–178.CrossRefGoogle Scholar
52. Corwin, RL, Avena, NM, Boggiano, MM. Feeding and reward: perspectives from three rat models of binge eating. Physiol Behav. 2011; 104(1): 87–97.CrossRefGoogle ScholarPubMed
53. Davis, C, Carter, JC. Compulsive overeating as an addiction disorder: A review of theory and evidence. Appetite. 2009; 53(1): 1–8.Google Scholar
54. Hebebrand, J, Albayrak, Ö, Adan, R, et al. “Eating addiction”, rather than “food addiction”, better captures addictive-like eating behavior. Neurosci Biobehav Rev. 2014; 47: 295–306.CrossRefGoogle Scholar
55. Davis, C, Carter, JC. If certain foods are addictive, how might this change the treatment of compulsive overeating and obesity? Curr Addict Rep. 2014; 1(2): 89–95.Google Scholar
56. Berthold, HR. Metabolic and hedonic drivers in the neural control of appetite: who is the boss? Curr Opin Neurobiol. 2011; 21(6): 888–896.Google Scholar
57. Hudson, JI, Lalonde, JK, Berry, JM, et al. Binge eating disorder as a distinct familial phenotype of in obese individuals. Arch Gen Psychiatry. 2006; 63(3): 313–319.CrossRefGoogle ScholarPubMed
58. Friederich, HC, Wu, M, Simon, JJ, Herzog, W. Neurocircuit function in eating disorders. Int J Eat Disord. 2013; 46(5): 425–432.Google Scholar
59. Michaelides, M, Thanos, PK, Volkow, ND, Wang, GJ. Dopamine-related frontostriatal abnormalities in obesity and binge-eating disorder: emerging evidence for developmental psychopathology. Int Rev Psychiatry. 2012; 24(3): 211–218.Google Scholar
60. Zhou, Y, Kreek, MJ. Alcohol: a stimulant activating brain stress responsive systems with persistent neuroadaptation. Neuropsychopharmacology. 2014; 87: 51–58.Google Scholar
61. Le Foll, B, Gallo, A, Le Strat, Y, Lu, L, Gorwood, P. Genetics of dopamine receptors and drug addiction: a comprehensive review. Behav Pharmacol. 2009; 20(1): 1–17.Google Scholar
62. Ma, Y, Yuan, W, Jiang, X, Cui, WY, Li, MD. Updated findings of the association and functional studies of DRD2/ANKK1 variants with addictions. Mol Neurobiol. 2015; 51(1): 281–299.Google Scholar
63. Baisley, SK, Baldo, BA. Amylin receptor signaling in the nucleus accumbens negatively modulates µ-opioid-driven feeding. Neuropsychopharmacology. 2014; 39(13): 3009–3017.Google Scholar
64. Ochoa, M, Lallès, J-P, Malbert, C-H, Val-Laillet, D. Dietary sugars: their detection by the gut-brain axis and their peripheral and central effects in health and disease. Eur J Nutr. 2015; 54(1): 1–24.Google Scholar
65. Jönsson, EG, Nöthen, MN, Grünhage, F, et al. Polymorphisms in the D2 receptor gene and their relationships to striatal receptor density in healthy volunteers. Mol Psychiatry. 1999; 4(3): 290–296.Google Scholar
66. Bart, G, Kreek, MJ, Ott, J, et al. Increased attributable risk related to a functional mu-receptor gene polymorphism in association with alcohol dependence in central Sweden. Neuropsychopharmacology. 2005; 30(2): 417–422.Google Scholar
67. Peciña, M, Love, T, Stohler, CS, Goldman, D, Zubieta, JK. Effects of the mu opioid receptor polymorphism (OPRM1 A118G) on pain regulation, placebo effects and associated personality trait measures. Neuropsychopharmacology. 2015; 40(4): 957–965.Google Scholar
68. Davis, C, Zai, C, Levitan, RD, et al. Opiates, overeating, and obesity: a psychogenetic analysis. Int J Obes (Lond). 2011; 35(10): 1347–1354.Google Scholar
69. Troisi, A, Frazzetto, G, Carola, V, et al. Social hedonic capacity is associated with the A118G polymorphism of the mu-opioid receptor gene (OPRM1) in adult healthy volunteers and psychiatric patients. Soc Neurosci. 2011; 6(1): 88–97.Google Scholar
70. Loseth, GE, Ellingsen, D-M, Leknes, S. State-dependent µ-opioid modulation of social motivation. Front Behav Neurosci. 2014; 8: 430.Google Scholar
71. Davis, C, Levitan, RD, Reid, C, et al. Dopamine for “wanting” and opioids for “liking”: a comparison of obese adults with and without binge eating. Obesity (Silver Spring). 2009; 17(6): 1220–1225.Google Scholar
72. Davis, C, Levitan, RD, Yilmaz, Z, Kaplan, AS, Carter, JC, Kennedy, JL. Binge eating disorder and the dopamine D2 receptor: genotypes and sub-phenotypes. Prog Neuropsychopharmacol Biol Psychiatry. 2012; 38(2): 328–335.Google Scholar
73. Plomin, R, Hawthorn, CMA, Davis, OSP. Common disorders are quantitative traits. Nat Rev Genet. 2009; 10(12): 872–878.Google Scholar
74. Nikolova, YS, Ferrell, RE, Manuck, SB, Hariri, AR. Multilocus genetic profile for dopamine signaling predicts ventral striatum reactivity. Neuropsychopharmacology. 2011; 36(9): 140–147.Google Scholar
75. Davis, C, Levitan, RD, Carter, JC, et al. Binge eating disorder and ‘food addiction’: a multi-locus genetic profile study. Paper presented at: the annual meeting of the Eating Disorder Research Society; September 2012; Porto, Portugal.Google Scholar
76. Monteleone, P, Tortorella, A, Castaldo, E, Maj, M. Association of a functional serotonin gene polymorphism with binge eating disorder. Am J Med Genet B Neuropsychiatr Genet. 2006; 141B(1): 7–9.Google Scholar
77. Calati, R, De Ronchi, D, Bellini, M, Serretti, A. The 5-HTTLPR polymorphism and eating disorders: a meta-analysis. Int J Eat Disord. 2011; 44(3): 191–199.Google Scholar
78. Akkermann, K, Nordquist, N, Oreland, L, Harro, J. Serotonin transporter gene promotor polymorphism affects the severity of binge eating in general population. Prog Neuropsychopharmacol Biol Psychiatry. 2010; 34(1): 111–114.Google Scholar
79. Muller, YL, Thearle, MS, Piaggi, P, et al. Common genetic variation in and near the melanocortin 4 receptor gene (MC4R) is associated with body mass index in American Indian adults and children. Hum Genet. 2014; 133(11): 1431–1441.CrossRefGoogle ScholarPubMed
80. Wang, K, Li, WD, Zhang, CK, et al. A genome-wide association study on obesity and obesity-related traits. PLoS One. 2011; 6(4): e24303.Google Scholar
81. Lubrano-Berthelier, C, Dubern, B, Lacorte, JM, et al. Melanocortin 4 receptor mutation in a large cohort of severely obese adults: prevalence, functional classification, genotype-phenotype relationship, and lack of association with binge eating. J Clin Endocrinol Metab. 2006; 91(5): 1811–1818.CrossRefGoogle Scholar
82. Valette, M, Poitou, C, Kesse-Guyot, E, et al. Association between melanocortin-4 receptor mutations and eating behaviors in obese patients: a case-control study. Int J Obes (Lond). 2014; 38(6): 883–885.Google Scholar
83. Gamero-Villarroel, C, Rodriguez-Lopez, R, Jimenez, M, et al. Melanocortin-4 receptor variants are not associated with binge-eating behavior in nonobese patients with eating disorders. Psychiatr Genet. 2015; 25(1): 35–38.CrossRefGoogle Scholar
84. Yilmaz, Z, Davis, C, Loxton, NJ, et al. Association between MC4R rs17782313 polymorphism and overeating behaviors. Int J Obes (Lond). 2015; 39(1): 114–120.Google Scholar
85. Agrawal, A, Lynskey, MT. Are there genetic influences on addiction: Evidence from family, adoption and twin studies. Addiction. 2008; 103(7): 1069–1081.Google Scholar
86. Chen, ALC, Blum, K, Chen, TJH, et al. Correlation of the Taq1 dopamine D2 receptor gene and percent body fat in obese and screened control subjects: a preliminary report. Food Funct. 2012; 3(1): 40–48.Google Scholar