Current Obesity Reports

, Volume 2, Issue 2, pp 171–178 | Cite as

Compulsive Overeating as an Addictive Behavior: Overlap Between Food Addiction and Binge Eating Disorder

Psychological Issues (M Hetherington, Section Editor)


With the rise in worldwide rates of obesity in the past few decades, scientists and clinicians have focused considerable attention on trying to understand the causes of excessive and compulsive food intake – patterns of overeating that are highly correlated with body mass index (BMI). Given that prominent psycho-behavioral similarities exist between chronic binge eating and drug abuse, many have adopted the perspective that an apparent dependence on highly palatable food - accompanied by marked emotional and social distress and deficiency – is, in essence, an addiction disorder. This narrative review considers the overlapping symptoms and characteristics of binge eating disorder (BED), and models of food addiction, both in preclinical animal studies and in human research. It is concluded that overeating may best be viewed along a dimension reflecting degrees of severity and compulsiveness and that the high end of the continuum marks the clinically significant impairment seen in BED. We further suggest that what we have come to call ‘food addiction’ may simply be a more acute and pathologically-dense form of BED.


Binge eating disorder Food addiction Dopamine Obesity Responsiveness to reward 


Obesity now ranks as one of the greatest and most preventable global threats to public health. It is also a highly transmissible condition (~.6 to .8) suggesting a mainly genetic influence on population variation in Body Mass Index (BMI) [1, 2]. Heritability estimates are also greater in women than in men [3, 4]. While the prevalence of obesity has doubled in the past few decades, its morbid form (BMI>40) has seen an alarming 4-fold increase [5]. In order to inform more personalized treatment approaches for those who struggle with overeating and weight gain, it behooves researchers to identify clinically relevant subtypes of obesity with specific psychobiological profiles that may convey different vulnerabilities to environmental risk factors, and therefore indicate different targets for intervention.

The parallels between an apparent loss-of-control over food intake and compulsive drug taking have been recognized by clinicians for decades, albeit mostly in circumstantial reports, and with particular reference to the pronounced cravings they have in common and the similarities in their mood-enhancing effects [6, 7, 8, 9, 10, 11, 12, 13]. Among the general public, the notion that overeating can be an addictive behavior has also been widely accepted for many years - as seen, for instance, by the numerous 12-Step treatment programs (e.g. Overeaters Anonymous founded in 1960; Food Addicts Anonymous founded in 1987) established for those who suffer with this problem.

In recent years - and notwithstanding the absence of a formal, or agreed-upon, set of diagnostic criteria - the notion of an addiction to hyper-palatable food is currently receiving widespread attention from the popular media. By contrast, it is only very recently that the term ‘food addiction’ has gained any scientific credibility. For instance, since 2008, according to the Web of Science data base, there has been a steeply exponential increase in the number of scientific publications devoted to this topic, with only two publications between 2000 and 2007, and 34 publications in 2012 alone. An important catalyst for the renewed interest in food addiction is the compelling and accumulating bio-behavioral evidence that highly palatable foods rich in sugar, fat, and salt have an abuse potential similar to addictive drugs like cocaine and alcohol [14, 15, 16]. In addition, evidence of the biological parallels between drug and food abuse, as demonstrated by preclinical experiments, human brain neuroimaging studies, and behavior genetic research, has further strengthened the credibility of the food-addiction construct.

Animal Models of Food Addiction

Rodent models of food addiction have typically used behavioral paradigms based on experimentally-inspired analogues of the Diagnostic and Statistical Manual (DSM-IV-TR) [17] criteria for substance dependence. For example, “tolerance” has been operationalized as an increase in brain-stimulation reward (BSR) thresholds following extended exposure to addictive drugs [18•]. Extrapolating this principle to eating behaviors, rats with 18–23 hours/day access to palatable energy-dense food displayed a worsening deficit in brain reward function, as seen by their progressively elevated BSR thresholds across days, compared to rats on a standard chow diet [18•].

Similarly, escalation of intake over time has been used as a marker of the criterion “taking the substance in larger amounts than was intended” [19]. In this regard, there is reliable evidence that rats fed an intermittent diet of sugar, develop a pattern of copious consumption resembling human cases of binge eating [20, 21••]. These studies show that a sugar-enhanced diet increases daily food intake over time, and that following its removal, the animals show aggression, anxiety, teeth-chattering, and head-shaking - all symptoms associated with “withdrawal” from drugs like heroin. Similar increased intake has been found when animals were given high-fat [22] or other highly palatable diets [18•]. Evidence of withdrawal has also been observed in animals showing depressive-like symptoms after access to highly palatable food for 7 weeks, as indicated by increased immobility in the forced-swim test and decreased intake in the sucrose consumption test [23]. Interestingly, some of the depressive symptoms were abolished in these animals when they were given renewed access to the palatable diet, suggesting that compulsive eating can relieve withdrawal-induced negative affect, as well as fostering its onset.

It also appears that compulsive patterns of palatable food intake only need a short time to develop, and that rats rapidly display a lack of flexibility in their food choices by rejecting standard chow even when the greatly preferred rich ‘cafeteria diet’ is transiently unavailable [24]. Even very limited (10 min) daily access to sugar-fat diets leads to binge-like intake and excessive weight gain in rats, but interestingly, without the stress and anxiety withdrawal responses seen in rats with access to sugar-rich diets [25] – a finding which adds to the growing evidence that only minimal withdrawal symptoms are associated with diets rich in fat, or a combination of sugar and fat, compared to the overt withdrawal symptoms following abstinence from a high-sugar diet [26, 27]. Various explanations have been proffered for these differences including the greater hedonic intensity of sugar relative to fat [25], and the more pronounced opioid-activating potential of sugar [26]. In general, it appears that high fat consumption is largely responsible for weight gain while sugar may be liable for producing addictive-like behaviors including pronounced withdrawal symptoms [28].

Binge-prone female rats were also found to tolerate significantly higher levels of foot shock for access to Oreo cookies than their binge-resistant counterparts, confirming the “continued use despite negative consequences” criteria for substance dependence [29]. Other evidence of abnormal motivation for sweet and fatty foods was demonstrated when rats with extended exposure to a highly palatable cafeteria diet continued to consume this food even when it was laced with quinine to produce an unpleasant bitter taste [24]. Finally, while numerous studies have found behavioral and consummatory cross-sensitization from one addictive drug to another [21••] - and between drugs and stress [30] - there is now good evidence that sugar intake also cross-sensitizes to drugs of abuse, and vice versa [21••].

In conclusion, an important consideration in any model of addiction is the existence of great variability in the proneness to its development [31]. Only a subgroup of animals and people who are exposed to drugs of abuse, or highly-palatable food, seem to develop full-blown symptoms of dependence and loss-of-control over their intake [32, 33] – an observation that has focused considerable research attention on identifying the ingredients of risk, and the biological mechanisms underlying vulnerability [34]. For instance, there is some evidence that early-life stressors, and various dietary differences that arise from these stressors, are influential in the susceptibility to compulsive intake of palatable foods [31].

When evaluating animal paradigms that support the food-addiction construct, another important consideration is that a pattern of compulsive intake - closely analogous to what we term binge eating in the human condition – is a universal feature of all models [31, 35••]. In other words, animals do not display symptoms of withdrawal, tolerance, or any of the other analogue criteria for substance abuse, without also showing binge-like consumption of the experimental (high sweet/fat) food.

Human Studies of Food Addiction

Despite the robust evidence of sugar/fat dependence in rodents, there are few parallel findings in human research except for anecdotal reports and various qualitative clinical accounts [36, 37, 38, 39••] Recently, researchers at Yale University moved the field forward with their development of a measure which operationalizes ‘food addiction’ using the DSM-IV-TR diagnostic criteria for substance dependence [40••]. Their preliminary evidence suggests that the Yale Food Addiction Scale (YFAS) has high convergent validity with other measures of eating pathology, especially binge eating, and may therefore be a useful tool for identifying individuals with addictive tendencies toward food.

In 2011, our group published the first casecontrol study using the YFAS diagnostic criteria in adult men and women [40••]. The results provided very good evidence that food addiction is an identifiable clinical syndrome with psychiatric co-morbidities and a psycho-behavioral profile remarkably similar to conventional drug-abuse disorders. For example, those who met the diagnostic criteria for YFAS food addiction had a significantly greater co-morbidity with BED, severe depression, and attention-deficit/hyperactivity disorder (ADHD) compared to their age- and weight-equivalent counterparts. They were also more impulsive and displayed greater emotional reactivity than the obese controls. In addition, they reported more intense food cravings and were more likely to ‘self-soothe’ with food.

Based on experimental evidence that tryptophan depletion tends to foster high consumption of sweet/fatty foods, and that it can also trigger depressive episodes, some have argued that overeating of highly palatable foods is fundamentally a form of self-medication to ameliorate dysphoric mood [41•]. In light of the significantly more severe levels of depression in those with food addiction, and their reported proneness to emotionally-driven eating, these inter-relationships may well explain a downwardly spiraling cycle whereby a biological predisposition to negative mood (e.g., low 5-HT availability) could foster a voracious appetite for sugary and fatty foods. In our highly obesigenic environment with its proliferation of processed foods, this hungriness can easily be satisfied, in turn, down regulating brain reward pathways and further contributing to dysphoria and its consequences on eating behaviors.

To date, only one neuroimaging study has examined correlates of food addiction, and found that reward-circuitry activation in the caudate and amygdala, in response to the anticipated receipt of food, was positively associated with YFAS-symptom scores [42]. Unfortunately, this study was somewhat limited by a small all-female sample, and because only two participants met the diagnostic criteria for food addiction. However, in a recent study – and the first to provide genetic support for the food-addiction construct – our findings meshed well with these neuroimaging data [43]. A multilocus genetic index score, which reflected the cumulative effect of several functional markers on striatal dopamine signaling strength, was significantly higher in a group of overweight adults with YFAS food addiction compared to their age- and BMI-matched counterparts. This relationship was also mediated by greater food cravings, bingeing, and emotional eating. Together, these findings support the view that food addiction is a reward-responsive phenotype of obesity. They also suggest a reward-based process model whereby an inherent biological susceptibility contributes to increased risk for overeating, which in turn may promote addictive tendencies toward certain highly palatable foods.

Binge Eating Disorder

Binge eating disorder (BED) is an overeating syndrome seen much more frequently in those who are substantially overweight [44, 45, 46]. It also appears to be a behaviorally-distinct subtype of obesity with an unique risk profile reflecting a heightened response to rewarding stimuli. In particular, individuals with this disorder display a hyper-reactivity to the hedonic properties of food as seen by greater food cravings, preoccupation with thoughts of food, emotionally-induced overeating, and a greater preference for sweet and fatty foods [47, 48]. While estimates suggest that the genetic contribution to BED is about 50 %, its prevalence is significantly greater in women than in men [49, 50, 51]. Moreover, it is no longer seen as a syndrome exclusive to adulthood. In recent years, bingeing or ‘loss-of-control’ eating has also become prevalent in middle childhood and early adolescence [52].

The research has consistently demonstrated that repeated consumption of highly palatable food can produce dopamine signaling changes in the brain, which promote an escalation of intake [53]. It also appears that intermittently restricted access to highly palatable foods results in sustained stimulation of the reward system, which also contributes to chronic overeating and to binge-eating susceptibility [54]. In this regard, it is relevant that individuals with BED tend to under-eat during the mornings [55], but show a propensity for high-calorie nocturnal eating [56], and do greater snacking in the evenings [57] compared to weight-matched adults who do not binge eat.

Neuro-scientific evidence of high reward sensitivity in BED can be found in the research showing greater medial orbitofrontal cortex reactivity to food cues in people with this disorder relative to comparison groups [58] - a finding which accords with the important role of this brain area in drug cravings, and which confirms the significance of dopaminergic mechanisms in the etiology of BED [59, 60]. Larger brain-activation differences in the amygdala and ventral striatum have also been found in obese adults with BED compared to weight-matched controls, suggesting a greater motivational sensitivity to, and visual processing of, palatable food cues in the former group [61]. The finding that obese binge eaters have greater increases in extracellular dopamine levels in the caudate nucleus (though not the ventral striatum) during food stimulation, compared to non-binge eating controls, provides further evidence of a hyper-responsiveness to reward in BED [62]. Additionally, a recent study has shown that exposure to personally-relevant, high-calorie food cues elicited hyper-responsive fMRI BOLD reactions in overweight adults with binge-eating behavior, and importantly, that the magnitude of these responses increased with greater number of binge-eating symptoms [63]. Finally, and again in response to food cues, binge eating women showed hyper-responsiveness and increased neural communication between the ventral striatum and a widespread network involved in reward and action planning compared to weight-matched controls [64].

In concurrence with the behavioral and neuroimaging evidence that BED reflects a heightened responsiveness to reward (described above), we recently reported that genetic markers reflecting enhanced dopaminergic responsiveness were positively related to the food-related sub-phenotypes of BED such as binge eating, food cravings, and emotional eating [65••]. In addition – and similar to findings in those with YFAS-diagnosed food addiction – a dopamine-based, multilocus genetic profile score was significantly higher in a group of obese adults with BED compared to their age- and BMI-matched counterparts [66].

Overeating as a Spectrum of Compulsion and Severity

As we have seen, the available research – albeit still very limited as it pertains to the human condition – consistently endorses the view that food addiction is an identifiable and viable clinical entity with many similarities to drug-addiction disorders. At the same time, however, these investigations, and related work, have implicitly raised the question of whether the YFAS-inspired definition of food addiction is in essence, and simply, a more severe expression of BED. This issue is especially germane given the substantial symptom overlap between the two conditions [40••, 67••], the many co-morbidities they have in common [40••], and their similar biological underpinnings [43, 66]. The studies by Davis et al. [40••] and Gearhardt et al. [67••] found that about 50 % of obese adults diagnosed with YFAS food addiction also met criteria for BED. Moreover, in an earlier study [68], using structured telephone interviews in women diagnosed with BED, it was found that 92 % of their sample met the DSM-IV-TR [17] criteria for substance dependence when the word “food” was substituted for “drug” in the interview questions. Clarifying whether the two conditions are sufficiently different in etiology and clinical course to warrant classification as separate pathological phenotypes of overeating is an important next-step in eating-disorder and addiction research. Resolution will also help guide personalized treatment strategies for those who struggle with intractable and excessive food consumption.

As an initial attempt to address this matter, we examined group differences on several variables related to demographic characteristics (age and BMI), patterns of overeating, personality risk factors, and co-morbid clinical symptoms, using independent t-test procedures. In the first set of analyses, we compared two equivalent groups of overweight men and women who met DSM criteria for BED: one with co-occurring YFAS-diagnosed food addiction (n = 16) and the other without (n = 17). Results indicated that the two BED groups were equivalent in age and BMI. On almost all other variables, however, the differences were highly statistically significant (see Table 1). Those with food addiction were much more likely to overeat for emotional and cue-driven reasons, they had more severe binge eating and food cravings, and they were more responsive to the rewarding properties of food. This group also had more addictive personality traits, was more impulsive, and had greatly elevated symptoms of depression compared to their non-food addict BED counterparts. While the food-addict group also reported greater ADHD symptoms, both currently and in childhood, these differences only approached statistical significance. Collectively, these findings mesh well with a related study of food addiction in BED patients. In particular, the number of YFAS symptoms (scores ranging from 0–7) was shown to correlate positively with Beck depression ratings, poor self-esteem, and difficulties in emotion regulation, as well as with certain measures of eating pathology including frequency of binge episodes [67••].
Table 1

Means, standard deviations, and p-value differences between those with YFAS-diagnosed food addiction [FA] (n = 16) and those without [Non-FA] (n = 17) in a sample of adults with binge eating disorder (BED), and between Non-FA BED and obese adults without BED or YFAS-FA (n = 66)











p =



p =



















Emotional eating [80]









External eating [80]









Binge eating [81]









Hedonic eating [82]









Food cravings [83]









Addictive personality traits [84]









Impulsivity [85]









Depression symptoms [86]









ADHD symptoms (adult) [87]









ADHD symptoms (child) [88]









In our second analysis, we compared the BED group without food addiction to a weight- and age-matched group of adults without BED or food addiction (n = 66) on the same set of variables. By contrast to the first series of comparisons, these two groups were remarkably similar to each other, with only very few significant differences. Specifically, and not surprisingly, the BED group had higher binge-eating scores than the non-BED controls. They also reported more hedonic eating and elevated food cravings (see Table 1).

Despite the novel and interesting findings from this preliminary investigation, it is important to acknowledge that the results are based on a relatively small sample of participants with BED. Nevertheless, the highly statistically significant findings from the first set of analyses indicate that the sample was not under-powered since the mean differences were sufficiently large, relative to their standard errors, to demonstrate strong effect sizes. Unfortunately, however, in the total sample of mainly overweight adults, there were only six individuals without a diagnosis either of BED or of food addiction, precluding a full factorial two-way analysis of the data. Given the established associations between psychological/behavioral pathology and BMI in binge-eating related disorders, such a skewed diagnostic distribution is, unfortunately, liable to be a problem for all future comparative research in this area.

While normal-weight adults comprise only a small minority of those with BED, they appear to be another behaviorally-distinct subset of the BED population, suggesting that body weight is also an important feature or correlate of the overeating spectrum. For example, some studies have found that normal-weight BED adults are younger [69, 70], and that their binge episodes are less frequent [70] and of shorter duration than their overweight/obese counterparts [69]. Especially relevant are the findings that normal-weight BED is characterized by a greater ‘drive for thinness’ [71], more pronounced cognitive and dietary restraint [72], and significantly greater and more extreme compensatory weight-control behaviors like skipping meals, exercising assiduously, and restricting intake [69].

Not surprisingly, a diagnosis of BED has been shown to predict weight gain over time [73, 74]. Indeed it is physiologically axiomatic that chronic episodes of binge eating in the absence of any compensation for the excessive ingestion of energy put individuals at substantial risk for obesity as they age. Therefore – and because one of the diagnostic criteria for BED is the absence of “inappropriate compensatory behaviors like purging, fasting, and excessive exercise” – the boundary between normal-weight BED and non-purging bulimia nervosa is clearly blurred at best, and their differences appear to be largely a matter of calorie-sparing severity.

Considering the full complement of research, including the pattern of response across our three study groups, findings strongly suggest that overeating can be viewed as a dimension reflecting its severity and its degree of compulsiveness (see Fig. 1). At the low end is passive overeating with little to no psychopathology, then mild and intermittent binge eating, followed by sub-groups of BED with some scarcely indistinguishable from normal-weight adults with non-purging bulimia nervosa. Among overweight adults with BEDa group who comprise the large majority of those with BEDsome manifest virtually no psychopathological or behaviorally-aberrant differences from BMI-matched adults without BED except for their binge eating, and their elevated responsiveness to highly palatable food. Others, however - specifically those who meet the proposed YFAS criteria for food addiction – express significantly more severe and compulsive symptomatology, and psychopathological characteristics akin to individuals with conventional drug-addiction disorders. In other words, at the low end of the continuum are those who – despite excessive calorie intake and weight gain – display little or no behavioral pathology and psychiatric disturbances, followed by those with a similar lack of pathology except in relation to their compulsive binge eating. At the high end of the continuum are those with BED who display significant psychopathology and strong addictive tendencies toward food. In particular, they are highly impulsive, manifest significant mood disturbances, and display emotionally-driven bouts of overeating.
Fig. 1

Patterns of overeating: a spectrum of compulsion and severity

Concluding Remarks

As we have seen in this review, many subscribe to the view that compulsive overeating – a quintessentially-defining feature of BED – shares pronounced similarities with conventional addictions like substance abuse [31, 75•, 76, 77]. Not surprisingly, such discussions have inspired cautious conclusions that some forms of excessive overeating are most appropriately viewed as an addiction disorder. While evidence for the validity of the food-addiction construct is rapidly gaining ground, inevitably this perspective has also found its detractors [78]. Unfortunately, some participating on the negative side of the debate have, in presenting their arguments, conflated obesity and overeating with ‘food addiction’, which has clouded its distinctiveness and muddled efforts to properly assess its diagnostic utility.

It is clearly a misinterpretation of the research for anyone to perceive claims that all cases of overeating – even prodigious overeatingreflect an ‘addiction to food’, in the same way as it would be nonsensical to say that all heavy drinkers are alcoholics. In other words, there are no explicit assertions from advocates of the food-addiction concept that more than a subset of the population could, or would, be affected by this condition. Like virtually all psychiatric disorders, including drug abuse and behavioral addictions such as pathological gambling, there is a relatively low base rate in the population, even though the related symptoms and endo-phenotypes exist in the general population along a continuum of varying magnitude or severity. Most individuals who use addictive substances – drugs or highly palatable food - do not develop dependence. Many contributors explain an individual’s propensity to these disorders. Moreover, it is highly unlikely that a homogeneous set of risk factors pertains to all phases of their development [79].



C. Davis has received research support from the Canadian Institute of Health Research.


No potential conflicts of interest relevant to this article were reported.


Papers of particular interest, published recently, have been highlighted as: • Of importance, •• Of major importance

  1. 1.
    Choquet H, Meyre D. Molecular basis of obesity: current status and future prospects. Curr Genomics. 2011;12:154–68.PubMedCrossRefGoogle Scholar
  2. 2.
    Nan C, Guo B, Warner C, et al. Heritability of body mass index in pre-adolescence, young adulthood and late adulthood. Eur J Epidemiol. 2012;27:247–53.PubMedCrossRefGoogle Scholar
  3. 3.
    Hur Y-M. Sex differences in heritability of BMI in South Korean adolescent twins. Obesity. 2007;15:2908–11.PubMedCrossRefGoogle Scholar
  4. 4.
    Schousboe K, Willemsen G, Kyvik KO, et al. Sex differences in heritability of BMI: a comparative study of results from twin studies in eight countries. Twin Res. 2003;6:409–21.PubMedGoogle Scholar
  5. 5.
    Sturm R. Increases in clinically severe obesity in the United States, 1986–2000. Arch Internal Med. 2003;163:2146–8.CrossRefGoogle Scholar
  6. 6.
    Davis C, Claridge G. The eating disorders as addiction: a psychobiological perspective. Addict Behav. 1998;23:463475.CrossRefGoogle Scholar
  7. 7.
    Kayloe JC. Food addiction. Psychother. 1993;30:269–75.CrossRefGoogle Scholar
  8. 8.
    McDowell M. Compulsive eating as a non-neurotic food addiction phenomenon. Obes Bariatric Med. 1978;7:140.Google Scholar
  9. 9.
    Randolph TG. Food allergy and food addiction. JAMA. 1953;153:821.Google Scholar
  10. 10.
    Randolph TG. The descriptive features of food addiction—addictive eating and drinking. Q J Stud Alcohol. 1956;17:198–224.PubMedGoogle Scholar
  11. 11.
    Randolph TG. Food addiction (chronic food allergy)—apparent basis of other addictions. Clin Res. 1978;26:A700.Google Scholar
  12. 12.
    Rogers PJ, Smit HJ. Craving and food addiction: a critical review of the evidence from a biopsychosocial perspective. Pharmacol Biochem Behav. 2000;66:3–14.PubMedCrossRefGoogle Scholar
  13. 13.
    Tuomisto T, Hetherington MM, Morris MF, et al. Psychological and physiological characteristics of sweet food “addiction”. Int J Eat Disord. 1999;25:169–75.PubMedCrossRefGoogle Scholar
  14. 14.
    Gearhardt AN, Davis C, Kuschner R, et al. The addiction potential of hyperpalatable foods. Curr Drug Abuse Rev. 2011;4:140–5.PubMedCrossRefGoogle Scholar
  15. 15.
    Kenny PJ. Reward mechanisms in obesity: New insights and future directions. Neuron. 2011;69:664–79.PubMedCrossRefGoogle Scholar
  16. 16.
    Spring B, Schneider K, Smith M, et al. Abuse potential of carbohydrates for overweight carbohydrate cravers. Psychopharmacol. 2008;197:637–47.CrossRefGoogle Scholar
  17. 17.
    American Psychiatric Association. Diagnostic and Statistical Manual - Version IV-TR. Washington. DC: American Psychiatric Association Press; 2000.Google Scholar
  18. 18.
    • Johnson PM, Kenny PJ. Dopamine D2 receptors in addiction-like reward dysfunction and compulsive eating in obese rats. Nat Neurosci. 2010;13:635–41. Changes in reward homeostasis in response to highly addictive drugs like cocaine and heroin have been observed in preclinical research. This paper presents evidence that the emergence of progressively worsening deficits in neural reward responses is also associated with the development of obesity.PubMedCrossRefGoogle Scholar
  19. 19.
    Corwin RL, Grigson PS. Symposium overview—food addiction: fact or fiction? J Nutr. 2009;139:617–9.PubMedCrossRefGoogle Scholar
  20. 20.
    Avena NM, Hoebel BG. A diet promoting sugar dependency causes behavioral cross-sensitization to a low dose of amphetamine. Neurosci. 2003;122:17–20.CrossRefGoogle Scholar
  21. 21.
    •• Avena NM, Rada P, Hoebel BG. Evidence of sugar addiction: Behavioral and neurochemical effects of intermittent, excessive sugar intake. Neurosci Biobehav Rev. 2008;32:20–39. This comprehensive review summarizes evidence of sugar dependence in an animal model focusing on 4 components of conventional addiction disorders: bingeing, withdrawal, craving, and cross-sensitization. The evidence indicates that under certain conditions rats can become physiologically dependent to sugar.PubMedCrossRefGoogle Scholar
  22. 22.
    Lutter M, Nestler EJ. Homeostatic and hedonic signals interact in the regulation of food intake. J Nutr. 2009;139:629–32.PubMedCrossRefGoogle Scholar
  23. 23.
    Iemolo A, Valenza M, Tozier L, et al. Withdrawal from chronic, intermittent access to a highly palatable food induces depressive-like behavior in compulsive eating rats. Behav Pharmacol. 2012;23:593–602.PubMedCrossRefGoogle Scholar
  24. 24.
    Heyne A, Kiesselbach C, Sahun I, et al. An animal model of compulsive food-taking behaviour. Addict Biol. 2009;14:373–83.PubMedCrossRefGoogle Scholar
  25. 25.
    Parylak SL, Cottone P, Sabino V, et al. Effect of CB1 and CRF1 receptor antagonists on binge-like eating in rats with limited access to sweet fat diet: Lack of withdrawal-like responses. Physiol Behav. 2012;107:231–42.PubMedCrossRefGoogle Scholar
  26. 26.
    Avena NM, Rada P, Hoebel BG. Sugar and fat bingeing have notable differences in addictive-like behaviors. J Nutr. 2009;139:623–8.PubMedCrossRefGoogle Scholar
  27. 27.
    Bocarsly ME, Berner LA, Hoebel BG, et al. Rats that binge fat-rich food do not show somatic signs or anxiety associated with opiate-like withdrawal: Implications for nutrient-specific food addiction. Physiol Behav. 2011;104:865–72.PubMedCrossRefGoogle Scholar
  28. 28.
    Avena NM. The study of food addiction using animal models of binge eating. Appetite. 2010;55:734–7.PubMedCrossRefGoogle Scholar
  29. 29.
    Oswald KD, Murdaugh DL, King VL, et al. Motivation for palatable food despite consequences in an animal model of binge eating. Int J Eating Disord. 2011;44:203–11.CrossRefGoogle Scholar
  30. 30.
    Covington HE, Miczek KA. Repeated social defeat stress, cocaine or morphine. Effects on behavioral sensitization and intravenous cocaine self-administration “binges”. Psychopharmacol (Berl). 2001;158:388–98.CrossRefGoogle Scholar
  31. 31.
    Corwin RL, Avena NM, Boggiano MM. Feeding and reward: perspectives from three rat models of binge eating. Physiol Behav. 2011;104:87–97.PubMedCrossRefGoogle Scholar
  32. 32.
    Deroche-Gamonet V, Berlin D, Piazza PV. Evidence for addiction-like behavior in the rat. Science. 2004;305:1014–7.PubMedCrossRefGoogle Scholar
  33. 33.
    Reboussin BA, Anthony JC. Is there epidemiological evidence to support the ideas that a cocaine dependence syndrome emerges soon after onset of cocaine use? Neuropsychopharmacol. 2006;31:2055–64.CrossRefGoogle Scholar
  34. 34.
    Boggiano MM, Artiga AI, Pritchett CE, et al. High intake of palatable food predicts binge-eating characteristics independent of susceptibility to obesity: An animal model of lean vs obesity binge eating and obesity with and without binge-eating. Int J Obes. 2007;31:1357–67.CrossRefGoogle Scholar
  35. 35.
    •• de Jong JW, Vanderschurne LJMJ, Adan RAH. Towards an animal model of food addiction. Obes Facts. 2012;5:180–95. Similarities between Binge Eating Disorder and drug addiction are reviewed. An animal model for addiction—and in this case, food addiction - focuses on high motivation to obtain the substance, persistence in this behavior, and continuation of drug taking despite negative consequences. PubMedCrossRefGoogle Scholar
  36. 36.
    Ifland JR, Preuss HG, Marcus MT, et al. Refined food addiction: a classic substance use disorder. Med Hypotheses. 2009;72:518–26.PubMedCrossRefGoogle Scholar
  37. 37.
    Ronel N, Libman G. Eating disorders and recovery: lessons from overeaters anonymous. Clin Soc Work J. 2003;31:155–71.CrossRefGoogle Scholar
  38. 38.
    Russell-Mayhew S, von Ranson KM, Masson PC. How does overeaters anonymous help its members? A qualitative analysis. Eur Eat Disord Rev. 2010;18:33–42.PubMedCrossRefGoogle Scholar
  39. 39.
    •• Gearhardt AN, Corbin WR, Brownell KD. Preliminary validation of the Yale food addiction scale. Appetite. 2009;52:430–6. These authors report the development of the self-report inventory to assess addictive tendencies toward food, which is based strictly on the DSM-IV-R criteria for substance dependence. This tool has been very important in moving forward human research on food addiction.PubMedCrossRefGoogle Scholar
  40. 40.
    •• Davis C, Curtis C, Levitan RD, et al. Evidence that ‘food addiction’ is a valid phenotype of obesity. Appetite. 2011;57:711–7. This study is the first human case–control study of food addiction and demonstrated significant clinical, psychological, and co-morbid difference between obese adults diagnoses with food addiction according to the Yale Food Addiction scale and their non-food addicted counterparts. The former had a profile very close to what is seen in those with substance abuse/dependence.PubMedCrossRefGoogle Scholar
  41. 41.
    • Fortuna JL. The obesity epidemic and food addiction: clinical similarities to drug dependence. J Psychoact Drugs. 2012;44(1):56–63. There are several biological similarities between dependence of palatable food and drug dependence including cravings and loss of control. This paper reviews the evidence in the area and also points to several environmental factors that have contributed to the obesity epidemic.CrossRefGoogle Scholar
  42. 42.
    Gearhardt AN, Yokum S, Orr PT, et al. Neural correlates of food addiction. Arch Gen Psychiatry. 2011;32:E1–9.Google Scholar
  43. 43.
    Davis C, Levitan RD, Kaplan AS, et al. Genetic evidence that ‘food addiction’ reflects enhanced dopamine responsiveness in brain reward pathways. Presented at the annual meeting of the Society for the Study of Ingestive Behaviors. Zurich, Switzerland; July 10–14, 2012.Google Scholar
  44. 44.
    Franko DL, Thompson-Brenner H, Thompson DR, et al. Racial/ethnic differences in adults in randomized clinical trials of binge eating disorder. J Consult Clin Psychol. 2012;80:186–95.PubMedCrossRefGoogle Scholar
  45. 45.
    Tanofsky-Kraff M, Shomaker LB, Stern EA, et al. Children’s binge eating and development of metabolic syndrome. Int J Obes. 2012;36:956–62.CrossRefGoogle Scholar
  46. 46.
    Grilo CM, White MA, Masheb RM. The metabolic syndrome and behavioral correlates in obese adults with binge eating disorder. Int J Eat Disord. 2009;42:228–34.PubMedCrossRefGoogle Scholar
  47. 47.
    Davis C, Levitan RD, Carter JC, et al. Personality and eating behaviours: a case–control study of binge eating disorder. Int J Eat Disord. 2008;41:243–50.PubMedCrossRefGoogle Scholar
  48. 48.
    Davis C, Levitan RD, Carter JC, et al. Dopamine for ‘wanting’ and opioids for ‘liking’: a comparison of overweight/obese adults with and without binge eating disorder. Obes. 2009;17:1220–5.Google Scholar
  49. 49.
    Bulik CM, Sullivan PF, Kendler KS. Genetic and environmental contributions to obesity and binge eating. Int J Eat Disord. 2003;33:293–8.PubMedCrossRefGoogle Scholar
  50. 50.
    Javaras KN, Laird NM, Reichborn-Kjennerud T, et al. Familiality and heritability of binge eating disorder: Results of a case–control family study and a twin study. Int J Eat Disord. 2008;41:174–9.PubMedCrossRefGoogle Scholar
  51. 51.
    Mitchell KS, Neale MC, Bulik CM, et al. Binge eating disorder: a symptom-level investigation of genetic and environmental influences on liability. Psychol Med. 2010;40:1899–906.PubMedCrossRefGoogle Scholar
  52. 52.
    Tanofsky-Kraff M. Psychosocial preventive interventions for obesity and eating disorders in youth. Int Rev Psychiatry. 2012;24:262–70.PubMedCrossRefGoogle Scholar
  53. 53.
    Bello NT, Hajnal A. Dopamine and binge eating behaviors. Pharmacol Biochem Behav. 2010;97:25–33.PubMedCrossRefGoogle Scholar
  54. 54.
    Hajnal A, Nyland JE, Anderzhanova E, et al. Chronic intermittent access to highly palatable diets result in sustained and augmented accumbens dopamine release and abolished response to regular chow compared to continuous availability. Washington, DC: Society for Neuroscience; 2008.Google Scholar
  55. 55.
    Raymond NC, Neumeyer B, Warren CS, et al. Energy intake patterns in obese women with binge eating disorder. Obes Res. 2003;11:869–79.PubMedCrossRefGoogle Scholar
  56. 56.
    Masheb RM, Grilo CM, White MA. An examination of eating patterns in community women with bulimia nervosa and binge eating disorder. Int J Eating Disord. 2011;44:618–24.CrossRefGoogle Scholar
  57. 57.
    Harvey K, Rosselli F, Wilson GT, et al. Eating patterns in patients with spectrum binge-eating disorder. Int J Eat Disord. 2011;44:447–51.PubMedCrossRefGoogle Scholar
  58. 58.
    Schienle A, Schafer A, Hermann A, et al. Binge eating disorder: reward sensitivity and brain activation to images of reward. Biol Psychiatry. 2009;65:654–61.PubMedCrossRefGoogle Scholar
  59. 59.
    Franklin T, Wang Z, Suh JJ, et al. Effects of Varenicline on smoking cue-triggered neural and craving responses. Arch Gen Psychiatry. 2011;68:516–26.PubMedCrossRefGoogle Scholar
  60. 60.
    Rolls ET. McCabe C. Enhanced affective brain representations of chocolate in cravers vs non-cravers Eur J Neurosci. 2007;26:1067–76.Google Scholar
  61. 61.
    Weygandt M, Schaefer A, Schienle A, et al. Diagnosing different binge-eating disorders based on reward-related brain activation patterns. Hum Brain Mapping. 2012;33:2135–46.CrossRefGoogle Scholar
  62. 62.
    Wang G-J, Geliebter A, Volkow ND, et al. Enhanced striatal dopamine release during food stimulation in binge eating disorder. Obes (Silver Spring). 2012;19:1601–8.CrossRefGoogle Scholar
  63. 63.
    Filbey FM, Myers US, DeWitt S. Reward circuit function in high BMI individuals with compulsive overeating: Similarities with addiction. Neuroimage. 2012;63:1800–6.PubMedCrossRefGoogle Scholar
  64. 64.
    Benson L, Carnell S, Pantazatos S, et al. Binge eaters show greater brain activation and connectivity within appetitive network in response to food cues, independent of weight status. Obes (Silver Spring). 2011;19:(suppl1)–S192.CrossRefGoogle Scholar
  65. 65.
    •• Davis C, Levitan RD, Yilmaz Z, et al. Binge eating disorder and the dopamine D2 receptor: Genotypes and sub-phenotypes. Prog Neuropsychopharmacol Bio Psychiatry. 2012;38:328–35. Certain functional markers of genes regulating dopamine signaling in the brain striatal area were associated with binge eating disorder (BED) and eating-related sub-phenotypes of BED. Results support the view that BED may have its causal origins in a hyper-responsiveness to rewarding stimuli such as highly palatable food.CrossRefGoogle Scholar
  66. 66.
    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 conference of the Eating Disorder Research Society. 2012, Porto, Portugal.Google Scholar
  67. 67.
    •• Gearhardt AN, White MA, Masheb RM, et al. An examination of the food addiction construct in obese patients with binge eating disorder. Int J Eat Disord. 2012;45:657–63. Those obese patients with Binge Eating Disorder who met the Yale Food Addiction Scale criteria for food addiction appeared to represent a more disturbed variation of this condition. They displayed greater eating-behaviour pathology and associated psychopathology.PubMedCrossRefGoogle Scholar
  68. 68.
    Cassin SE, von Ranson KM. Is binge eating experienced as an addiction? Appetite. 2007;49:687–90.PubMedCrossRefGoogle Scholar
  69. 69.
    Goldschmidt AB, Le Grange D, Powers P, et al. Eating disorder symptomatology in normal-weight vs. obese individuals with binge eating disorder. Obesity (Silver Spring). 2011;19:1515–8.CrossRefGoogle Scholar
  70. 70.
    Dingemans AE, van Furth EF. Binge eating disorder psychopathology in normal weight and obese individuals. Int J Eat Disord. 2012;45:135–8.PubMedCrossRefGoogle Scholar
  71. 71.
    Barry DT, Grilo CM, Masheb RM. Comparison of patients with bulimia nervosa, obese patients with binge eating disorder, and non-obese patients with binge eating disorder. J Nerv Ment Dis. 2003;191:589–4.PubMedCrossRefGoogle Scholar
  72. 72.
    Carrad I, Van der Linden M, Golay A. Comparison of obese and nonobese individuals with binge eating disorder: delicate boundry between binge eating disorder and non-purging bulimia nervosa. Eur Eat Disorders Rev. 2012;20:350–4.CrossRefGoogle Scholar
  73. 73.
    Fairburn CG, Cooper Z, Doll HA, et al. The natural course of bulimia nervosa and binge eating disorder in young women. Arch Gen Psychiatry. 2000;57:659–65.PubMedCrossRefGoogle Scholar
  74. 74.
    Field AE, Sonneville KR, Micali N, et al. Prospective association of common eating disorders and adverse outcomes. Pediatrics. 2012;130:E289–95.PubMedCrossRefGoogle Scholar
  75. 75.
    • Davis C, Carter JC. Compulsive overeating as an addiction disorder: a review of theory and evidence. Appetite. 2009;53:1–8. Compulsive overeating as an addiction disorder: A review of theory and evidence. PubMedCrossRefGoogle Scholar
  76. 76.
    Gearhardt AN, Corbin WR. The role of food addiction in clinical research. Curr Pharmaceut Design. 2011;17:1140–2.CrossRefGoogle Scholar
  77. 77.
    Meule A. How prevalent is “food addiction”? Frontiers in Psychiatry. 2011;2:1–4.CrossRefGoogle Scholar
  78. 78.
    Ziaudden H, Farooqi S, Fletcher PC. Obesity and the brain: how convincing is the addiction model? Nature Rev Neurosci. 2012;13:279–86.CrossRefGoogle Scholar
  79. 79.
    Swendsen J, Le Moal M. Individual vulnerability to addiction. Ann NY Acad Sciences. 2011;1216:73–85.CrossRefGoogle Scholar
  80. 80.
    Van Strien T, Frijters JE, Bergers GP, et al. The Dutch eating behavior questionnaire (DEBQ) for assessment of restrained, emotional, and external eating behavior. Int J Eating Disorders. 1986;5:295–315.CrossRefGoogle Scholar
  81. 81.
    Halmi KA, Falk JR, Schwartz E. Binge eating and vomiting: a survey of a college population. Psychol Med. 1981;11:697–706.PubMedCrossRefGoogle Scholar
  82. 82.
    Lowe MR, Butryn ML, Didie ER, et al. The power of food scale: a new measure of the psychological influence of the food environment. Appetite. 2009;53:114–8.PubMedCrossRefGoogle Scholar
  83. 83.
    Cepeda-Benito A, Gleaves DH, Williams TL, et al. The development and validation of the state and trait food-cravings questionnaires. Behav Ther. 2000;31:151–73.CrossRefGoogle Scholar
  84. 84.
    Eysenck HJ, Eysenck SBG. Manual of the eysenck personality questionnaire. London: Hodder & Stoughton; 1975.Google Scholar
  85. 85.
    Patton JH, Stanford MS, Barratt ES. Factor structure of the Barratt impulsivity scale. J Clin Psychol. 1995;51:768–74.PubMedCrossRefGoogle Scholar
  86. 86.
    Beck AT, Steer RA, Brown GK. Manual for the beck depression inventory (BDI-II). 2nd ed. San Antonio, TX: The Psychological Association; 1996.Google Scholar
  87. 87.
    Conners CK, Erhardt D, Sparrow E. Conners adult ADHD rating scales. New York: Multi-Health Systems Inc.; 1999.Google Scholar
  88. 88.
    Ward MF, Wender PH, Reimherr FW. The wender Utah rating scale: an aid in the retrospective diagnosis of childhood attention deficit hyperactivity disorder. Am J Psychiatry. 1993;150:885–90.PubMedGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  1. 1.Kinesiology & Health Sciences, Faculty of HealthYork UniversityTorontoCanada

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