Abstract
Purpose of Review
The objective of this paper is to review the role that hedonic factors, emotions and self-regulation systems have over eating behaviours from animal models to humans.
Recent Findings
Evidence has been found to suggest that for some high-risk individuals, obesity/binge eating may develop as an impulsive reaction to negative emotions that over time becomes a compulsive habit. Animal models highlight the neural mechanisms that might underlie this process and suggest similarities with substance use disorders.
Summary
Emotional difficulties and neurobiological factors have a role in the aetiology of eating and weight disorders. Precise treatments targeted at these mechanisms may be of help for people who have difficulties with compulsive overeating.
Similar content being viewed by others
Avoid common mistakes on your manuscript.
Introduction
Gerald Russell first described bulimia nervosa (BN) in 1979 [1], and binge eating disorder (BED) has only been recently accepted as a diagnostic category in the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders [2]. BN and BED are characterised by a loss of control over eating and the rapid consumption of large amounts of food [2]. In BN, compensatory behaviours are used to prevent weight gain (e.g. self-induced vomiting/compulsive exercising). These disorders are often co-morbid with obesity [3] and share similar risk and maintaining factors. Anorexia nervosa (AN) is characterised by under-eating and weight loss, although a substantial proportion of people with AN also binge eat and/or use compensatory behaviours [2].
In primary care, an increasing number of people received a diagnosis for an eating disorder in the 1980s and in the early 1990s [4,5,6]. This trend has continued into the beginning of the millennium [7]. The incidence rates of obesity have also increased at the same time worldwide [8]. One explanation for these trends is an increased level of awareness of eating disorders amongst the general population and clinicians. Another possibility is that this pattern of changes is due to new factors within the environment that may be impacting on eating and weight control.
There have been rapid changes in the food environment over the last 60–70 years with food technology changing what and how we eat [9]. For instance, nutrients have been ultra-processed and or purified, and foods have been modified to make them more accessible, cheaper and palatable [10]. The impact of these environmental changes on eating behaviour might be modified by individual factors [11]. For example, genetic factors may modulate the vulnerability to develop abnormalities in eating behaviours [12•], whilst the hedonic value of food [13] and emotions [14•] are other key factors that may influence eating behaviour. These factors may promote either approach or avoidance behaviours towards food due to the processes of reward and punishment (see [15, 16] for detailed reviews of these motivational systems). Moreover, they may override the homeostatic control of eating behaviour and over time lead to overeating.
This paper will summarise animal models of pathological eating behaviour to help delineate the various mechanisms that may increase the risk for disordered eating behaviour. It will then outline recent findings in humans and suggest potential treatment targets. Please see Fig. 1 for an overview of the key risk factors that will be covered within this review.
Animal Models of Eating Behaviour—Possible Translational Insights
A variety of animal models have been developed in order to characterise the possible mechanisms involved in pathological eating behaviour and weight homeostasis in humans [17,18,19,20]. These models are based upon findings from lesion studies, pharmacological manipulations and by controlling the environmental conditions of rodents. Many of the models developed have included the factors that are thought to increase the risk of eating and weight disorders in humans. Therefore, they might help to understand the mechanisms that underpin abnormal eating behaviour.
Homeostatic Mechanisms and Eating Behaviour
Innate homeostatic mechanisms control nutritional balance. The hypothalamus plays a key role in the homeostatic control of eating [21]. For example, lesion studies in rats have allowed the identification of the specific structures involved, such as the hypothalamic ventromedial, paraventricular and dorsomedial nuclei as satiety centres and the lateral hypothalamus as a hunger centre [22, 23].
Circuits including the nucleus accumbens, the amygdala, the lateral hypothalamus and the ventral tegmental area are involved in hedonic food consumption. For recent reviews regarding the role of these circuits in eating behaviour and reward, please see [24, 25]. Also, please refer to [26] for an outline of the role of endocrine factors (i.e. leptin, ghrelin and insulin) on eating behaviour beyond the scope of this review. However, the specific neurochemicals involved in hedonic eating are worth discussing.
Dopamine
Research has shown that daily binge eating on a palatable sugar or fat diet is associated with increased dopamine release in the nucleus accumbens [27]. It is thought that the pleasure experienced from highly processed foods is positively correlated with the amount of dopamine released in the striatum. Over time, this leads to the downregulation of the expression D2R dopamine receptors in the striatum [28, 29]. This downregulation is associated with food consumption becoming more compulsive in its nature [31, 32•] and is similar to the rewarded processes observed in response to drugs of abuse [30]. Dopamine’s role in food reward and addiction-like eating will be discussed below.
Opiates
Central opioid signalling pathways are also involved in food reward [33]. For instance, rats that overeat palatable food (i.e. glucose) show increased opioid receptor binding in the nucleus accumbens shell, the locus coeruleus, the cingulate cortex and the hippocampus [34, 35]. Furthermore, opioids are involved in the hedonic aspects of food consumption (e.g. pleasantness). Naloxone, an opioid antagonist, decreases the overall consumption of a sucrose diet [36]. Also, opioid antagonists decrease the intake of preferred foods to a higher degree than non-preferred foods [37], thus demonstrating opioid’s role in reward experienced from hedonic food consumption.
Oxytocin
The effects of the neuropeptide oxytocin on food consumption are complex, as it appears to be involved in not only the maintenance of homeostasis but also in the regulation of hedonic eating [38, 39]. Oxytocin is thought to suppress the activation of reward pathways [41]. During palatable food intake, the release of endogenous opioids acts to inhibit oxytocin neurons, contributing to inhibitory control over intake [42]. As such, research shows that the central administration of an oxytocin receptor agonist reduces the tendency to restrict palatable food intake in a novel/stressful eating environment [40]. Moreover, mice whose oxytocin gene expression was knocked out consumed significantly more sucrose solution compared to their wild-type cohorts, implying that oxytocin pathways play a role in hedonic eating by increasing inhibitory control over intake [42].
Rodent Models of Non-Homeostatic ‘Binge-Like’ Eating
A variety of permutations of the environment have been found to induce rats to ‘binge eat’ (i.e. to overeat rather than to eat in accordance with homeostatic principles). Most of these involve limiting food intake, increasing food reward or associating food with punishment.
-
Limited access models [43].
Intermittent, limited access to palatable food has been used to change eating behaviours and promote overconsumption. Importantly, after a fasting period, increased food intake continues even after basic metabolic needs are met.
-
A stress-induced hyperphagia model [44].
This model suggests that food restriction combined with stress (e.g. an electric foot shock) induces binge-like increases in energy intake greater than that caused by restriction alone.
-
Sham feeding models [45].
This model involves using a gastric fistula to induce drainage of consumed food before it enters the intestine [20]. Under such states, rats show an increase in binge eating behaviour as compared to control rats [46]. This sham feeding is often used to reproduce the compensatory behaviour of vomiting, impaired satiety and overeating amongst individuals with BN [17].
Food Palatability (Reward)
There has been a recent change in the food environment caused by technological modification of foods to increase their palatability. Several animal models include exposure to such palatable foods as a means of modulating the hedonic response to food. Some people and some rodents are more susceptible to change their eating behaviour in response to these foods than others [47, 48]. In support of this notion, it is possible to separate out binge eating prone (BEP) and binge eating resistant (BER) rats following exposure to palatable food [49]. BEP rats consistently consume more than twice the amount of palatable food compared to BER rats, although they show an appropriate homeostatic eating response when sated and when hungry [49]. The rats prone to overeat with palatable food over time become obese. These traits vary within wild-type rat strains, and there has been selective breeding to produce rats with sensitivity to dietary-induced obesity. Obesity-prone rats show greater changes in limbic and motivational circuits in response to palatable food [25, 48, 50•]. Moreover, these foods also produce a marked increase in AMPA glutamate receptor in the nucleus accumbens [25]. These findings suggest that there is an interaction between genotype and availability of highly palatable foods.
Stress (Punishment)
Exposure to aversive environments has been used to change eating behaviour in rodents. Short-term stressors such as cold exposure, water exposure or social defeat can reduce feeding behaviour in animals [44, 51]. However, chronic stress can lead to overfeeding on palatable food [52]. Pijlman and colleagues [53] examined the impact of emotional stress (i.e. rats watch another rat receiving foot shocks) on eating behaviour versus physical stress (i.e. repeated foot shocks) in rodents. They found that emotional stress was associated with a preference of saccharin and hyperactivity, whereas physical stress was associated with a preference for water and anhedonia. Therefore, emotional distress has been found to increase hedonically driven eating in rodents.
‘Addiction-Like’ Eating Behaviour: How Binge Eating in Animals Relates to Substance Use Disorders
The change from impulsive responding and approach to the reward of highly palatable food into a more compulsive behaviour, which occurs even in the face to adverse consequences, is thought to be the mechanism that accounts for ‘food/eating addiction’. This is a similar process to what occurs with substances of abuse (e.g. alcohol, cocaine use).
Indeed, there are similarities in the brain circuits and neurochemistry found with addiction to both substances and food [54]. For example, diets consisting of intermittent access to high-sucrose drinks are associated with a change in the balance of dopamine and acetylcholine in the brain. When these animals are given naloxone, extracellular dopamine and increased acetylcholine in the nucleus accumbens decreases [55]. Moreover, animals given nalaoxone show somatic signs of withdrawal, demonstrating symptoms such as anxiety, teeth chattering, forepaw tremor and aggression [55,56,57,58]. This suggests that opiate mechanisms are involved in this model of food/eating addiction [56]. Furthermore, the finding that rats are motivated to seek out highly palatable foods regardless of shocks to their feet is comparable to compulsive eating in humans, in which the behaviour persists despite negative consequences [59]. However, it is important to note that the magnitude of the effect is comparatively smaller for food than substances of abuse.
In Summary
-
Changes in the food environment (palatable food, restriction and intermittent exposure) and also stress can lead to changes in eating behaviour in rodents. The context is important.
-
The duration of stress (i.e. chronic or acute) and the kind of stressor (i.e. emotional or physical) differentially impact on eating behaviour.
-
‘Addiction-like eating behaviour’ occurs in animals when they continue to seek food even though they receive negative consequences (e.g. punishment with electric foot shocks.
-
Changes in brain chemistry (e.g. dopamine and endogenous opiates) underpin eating behaviour in these animal models. For example, opiate-like withdrawal symptoms develop after the administration of naloxone and opiate antagonists.
In the following section, we will examine parallels between these processes and human eating behaviour.
Humans: Risk and Maintenance Factors
The Barker Hypothesis
In 1990, David Barker hypothesised that pre-natal and early post-natal experiences, such as under-nutrition during gestation or a low birth weight, predict the later onset of illness (see [60] for a review). This is now known as Developmental Origins of Health and Disease (DOHAD) and has a well-documented impact on body weight and metabolism [61]. Longitudinal studies of people exposed during early gestation (i.e. during the first trimester) to severe starvation in the Dutch famine of 1944–1945 have found higher levels of obesity amongst other adverse health markers in later life [62, 63]. A systematic review has found evidence that pre-natal exposure to diabetes, famine and cigarette smoking was linked to childhood overweight and obesity [64]. It has been suggested that these pre-natal factors alter the development of the endocrine system [64]. A range of obstetric complications have also been positively associated with the development of AN (e.g. maternal diabetes) and BN (e.g. low birth weight) [65].
What Is the Evidence for a Genetic Vulnerability for Problems in Eating Behaviour in Humans?
Some people appear to have a genetic susceptibility to anomalies in appetitive traits and behaviours [66,67,68]. Many genetic loci associated with obesity, such as variants in FTO, MC4R and BDNF genes, are expressed primarily within the hypothalamus and are thought to impact appetitive behaviours. For example, children with the AA genotype of the FTO (rs9939609) were reported by their parents to have inefficient satiety responsiveness [69]. Moreover, children with AA alleles and those with a single A allele for FTO have been found to consume significantly more than participants who were homogeneous for the T allele on a test meal [70•].
Furthermore, individuals with a higher polygenic risk score (based upon 32 genetic loci) for obesity have been reported to have increased emotional and uncontrolled eating [71•]. Specifically, variants of FTO, ZC3H4, MTCH2 and TNNI3K were positively associated with emotional eating. A recent study [72] also examined whether the polygenic risk score (based upon 32 genetic loci) was associated with eating disorders. The FTO gene in particular was linked with the development of binge eating in adolescence. Another group of researchers [73] found that 34.7% of children homogenous/heterogeneous for the A allele self-reported a loss of control over eating versus 18.2% of the children homogenous for the T allele of FTO and those participants either homogenous/heterogeneous for the A allele ate highly palatable, energy-dense foods more frequently although in the context of a test meal, no differences in total energy intake occurred.
Genetic factors are also associated with disorders of under-eating (for a recent review, see [12•]). To date, genome-wide association studies of AN have not been sufficiently powered to indicate significant genetic loci [74, 75]. Nonetheless, they have suggested that studies with greater sample sizes could highlight genetic loci associated with AN and whether there is a specific polygenic risk profile for either of the AN subtypes (i.e. restricting or binge/purge) [e.g. 74]. This emerging research is helping to clarify the role of genetic factors in eating behaviours.
Early Adversity and Eating Behaviour
The early emotional environment also impacts on eating behaviour. Early attachment experiences increase the risk of eating disorders [76•, 77] and obesity [78]. Furthermore, adolescents [79, 80] and adults [81, 82] with AN have insecure patterns of attachment. A recent meta-analysis concluded that this effect was large (Cohen’s d = 1.3) [76•].
Early adverse experiences impact on eating behaviour and weight control. A variety of abusive experiences increase the risk of BN and binge eating behaviour [83]. These types of experiences (i.e. psychological abuse, sexual abuse, physical abuse and neglect) are also more common in obese individuals [84, 85].
Hedonic Eating
Obese people appear to be oversensitive to approach food and experience higher levels of food craving [86,87,88]. This is associated with increased activation of the nucleus accumbens [89]. Moreover, longitudinal studies have found that atypical activation of nucleus accumbens in response to food cues is associated with weight gain [90, 91].
People with BN have been found to have an increased nucleus accumbens volume relative to healthy controls [92]. Furthermore, people with BN and BED are reported to have greater medial orbitofrontal cortex (OFC) volumes in comparison to people without eating disorders [92] and show increased activation of the OFC in response to food cues [93]. The medial OFC has been implicated in both reward processing [94] and impulsivity [95].
What Role Does Emotional Eating Have in the Development of Changes in Eating Behaviour and/or Weight Homeostasis?
The propensity to eat in response to positive [96•] and negative emotions [97, 98] is called ‘emotional eating’ [99, 100]. Laboratory-based research has shown that emotional eating is predictive of increased food intake in young people [101]. However, there is uncertainty about the association between emotional eating and weight gain in children and adolescents. Cross-sectional research has shown greater levels of emotional eating in young people who are overweight relative to those within the healthy weight range [102, 103]. Other studies have not supported those findings (e.g. in girls [104]). A potential explanation is that, during childhood and adolescence, the relationship between food intake and BMI is non-linear, as weight gain may be more greatly influenced by other genetic and behavioural factors at this stage of development [104]. Indeed, eating in the absence of hunger at age 7 has been found to predict binge eating problems in adolescents (i.e. at age 15), with a higher BMI, dietary restraint, body dissatisfaction and negative affect elevating the risk [105]. Another recent prospective study showed that after a 1-year interval, emotional eating alone was not related to weight gain in adolescents; however, in conjunction with loss of control over eating, there was weight gain at the 1-year follow-up [106•].
In adulthood, there is a clearer association between emotional eating and obesity [107, 108]. Cross-sectional questionnaire-based research has shown that overweight/obese women report greater levels of emotional eating than participants within the healthy weight range [109, 110]. A 2-year prospective study has shown that emotional eating moderated a relationship between the overconsumption of food and weight gain [111].
With regards to BED, Masheb and Grilo found that emotional eating, particularly anxiety, is positively associated with eating psychopathology [112]. More recently, researchers have found that anger, feeling hurt by others, feeling disappointed, sadness and feeling guilty were associated to binge eating, suggesting that emotional eating may be related to a wide range of negative emotions and problematic interpersonal relationships [113]. This is in line with research that has suggested that people with eating disorders are often highly sensitive to social threat and rejection [114, 115].
Ecological momentary assessment (EMA) techniques have been used to investigate the effect of emotions on binge eating episodes for people with BN and BED [116,117,118]. A meta-analysis of the EMA literature found that people report increased levels of negative affect prior to binge eating (medium effect size = 0.63) and that this negative affect increases even further following the episode (medium effect size = 0.5). For people with BN, negative affect was found to decrease following episodes of purging (medium effect size = −0.46) [119]. However, a limitation of EMA techniques is that this approach can only suggest an association, not causation, between negative affect and binge eating.
To help address this limitation, Cardi et al. did a meta-analysis of experimental studies that induce a negative or positive mood within the laboratory and assess subsequent eating behaviour on a test meal in comparison to a neutral condition. This review found that negative mood induction leads to increased food consumption, with greater effects in restrained eaters (very large effect size = 1.5) and people with BED (large effect size = 0.74) [14•]. It also showed that positive mood induction leads to increased food consumption in HCs (small effect size = 0.3). For people with BN, a limited number of studies suggested that positive mood induction could help to reduce food consumption. Please see Table 1 for an overview of several emotion-based theoretical models for the development and maintenance of the binge eating episodes.
Control Over Eating Behaviour: Impulsive and Compulsive Traits
Emotions are linked to drives to approach or withdraw from food; impulsive or compulsive patterns of behaviour can develop in response to these tendencies [126•, 127]. Smith and Robbins propose that overeating behaviours in obesity and BED may begin as an impulsive behaviour driven by reward [127]. However, with repetition, excessive habit formation may cause the behaviour to become triggered by cues such as negative affect rather than by reward. This occurs due to stimulus response learning and may be similar to the processes involved in addiction in substance use disorder (for a recent comprehensive review, see [128]).
Pearson et al. have suggested that impulsive and compulsive traits might also underlie the psychopathology of BN [129•]. They also proposed that emotions have a core role in the development and maintenance of symptoms. This model hypothesises that there are two pathways towards the development of binge eating. The first state-based pathway suggests that when people experience negative emotions, there is a reduction in self-control. As a result, people may binge eat as they are unable to maintain the effortful demands of dietary restraint. The second pathway suggests that trait-based factors have a role in the development of BN. Specifically, the model suggests that the personality trait of negative urgency may make individuals vulnerable to over consume food, which is easily accessible during times of distress, with the expectation that it will provide relief. At the beginning of the illness, this behaviour is rewarding as it provides a distraction from negative emotions, whilst purging helps to lower feelings of distress that follow the binge. However, as the illness develops, these symptoms become compulsive as they continue despite the serious risks to health that are associated with them (e.g. cardiac problems). Furthermore, the function of the binge eating episodes shifts from being a distraction from negative emotions to a way of avoiding them completely.
A key mechanism that might underpin both impulsivity and compulsivity in obesity, BED and BN is impaired inhibitory control [126•]. This may be defined as the inability to stop an action [130]. Indeed, a systemic review of the literature [131] has shown that people with BED and BN have difficulties in inhibitory control (small effects −0.26 for BN and −0.16 for BED), with enhanced difficulties for illness-specific stimuli in BN (i.e. large effect sizes for food/eating = −0.67 and body-related stimuli = 0.61). In keeping with this notion, research has found that impaired inhibitory control is positively associated with a poorer treatment outcome for overweight children [132, 133]. It is thought that this inefficient self-regulatory system might be due to abnormal brain activation in the fronto-striatal networks [134,135,136,137]. Consequently, difficulties in inhibitory control may be one mechanism that helps to explain why people with obesity and binge eating develop eating behaviours that can become highly persistent and difficult to change. This predisposition to compulsively overeat may underpin obesity and eating disorders and is a possible target for treatment [138].
In Summary
-
Food intake in humans is regulated by homeostatic/hedonic factors and memory (a full review of their role was beyond the remit of this article; nevertheless, please see [139, 140] for comprehensive reviews).
-
People with obesity and binge eating crave highly palatable, energy-dense foods and find them highly rewarding.
-
Evidence has been found to suggest that there is a genetic susceptibility for appetitive traits, obesity, binge eating and emotional eating.
-
Emotional eating appears to have a role in the development and maintenance of obesity and binge eating.
-
Difficulties in inhibiting approach or avoidance tendencies in response to emotions can lead to abnormal eating behaviours.
-
Difficulties in inhibitory control can produce compulsive responding and habit formation.
Clinical Implications
This review has potential implications for the treatment of obesity/binge-type eating disorders. Recently, there has been an increasing focus on the use of novel treatment enhancers for eating and weight disorders. In line with this, please see Table 2 for an overview of how animal models of overeating translate to humans and examples of possible targeted treatment approaches.
Conclusion
This paper has covered recent studies relating to risk and maintenance factors for obesity and binge-type eating disorders. It suggests that there may be a genetic risk for overeating and binge eating behaviours, and these may develop as an impulsive coping strategy for negative emotions. This symptom may become compulsive in nature due to the process of excessive habit formation. Animal models highlight neurochemical changes that underlie inhibitory and reward pathways, which contribute to the maintenance of compulsive overeating. Additionally, through inducing forced abstinence, intermittent access, restriction and environmental stress, they offer valuable insight that is comparable to eating disorder populations. Moreover, they allow researchers to draw comparisons to substance use disorders, by inducing withdrawal and tolerance. Consequently, it may be of benefit to draw upon the use of novel targeted treatment approaches to further improve treatment outcomes for people with these conditions.
References
Papers of particular interest, that have been published recently, are highlighted as: • Of importance
Russell G. (1979) Bulimia nervosa: an ominous variant of anorexia nervosa; 9: 429–48
American Psychiatric Association. Diagnostic and statistical manual of mental disorders. 5th ed. Arlington, VA: American Psychiatric Publishing; 2013.
Kessler R, Berglund P, Chiu W, Deitz A, Hudson J, et al (2013). The prevalence and correlates of binge eating disorder in the WHO World Mental Health Surveys; 73: 904–914
Currin L, Schmidt U, Treasure J, Jick H. Time trends in eating disorder incidence. Br J Psychiatry. 2005;186:132–5. doi:10.1192/bjp.186.2.132.
Hoek HW, Bartelds AI, Bosveld JJ, van der Graaf Y, Limpens VE, Maiwald M. Spaaij CJ. Impact of urbanization on detection rates of eating disorders. 1995;152:1272–8. doi:10.1176/ajp.152.9.1272.
Turnbull S, Ward A, Treasure J, Jick H, Derby L. The demand for eating disorder care. An epidemiological study using the general practice research database. Br J Psychiatry. 1996;169:705–12.
Micali N, Hagberg KW, Petersen I, Treasure, J. The incidence of eating disorders in the UK in 2000-2009: findings from the General Practice Research Database. BMJ Open. 2013; 28: 3 (5). doi: 10.1136/bmjopen-2013-002646.
Ng M, Fleming T, Robinson M, Thomson B, Graetz N, et al. Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: a systematic analysis for the Global Burden of Disease Study. Lancet. 2014;30:766–81.
Popkin BM, Adair LS, Ng SW. Global nutrition transition and the pandemic of obesity in developing countries. Nutr Rev. 2012;70:3–21. doi:10.1111/j.1753-4887.2011.00456.x.
Monterio CA, Moubarac JC, Cannon G, Ng SW, Popkin B. Ultra-processed products are becoming dominant in the global food system. Obes Rev. 2013;2:21–8. doi:10.1111/obr.12107.
Hetherington M. Cues to overeat: psychological factors influencing overconsumption. Proc Nutr Soc. 2007;66:113–23. doi:10.1017/S0029665107005344.
• Bulik CM, Kleiman SC, Yilmaz Z. Genetic epidemiology of eating disorders. Curr Opin Psychiatry. 2016;29:383–8. doi:10.1097/YCO.0000000000000275. This review covers the latest findings on the genetics of eating disorders, which is a valuable and expanding area of research.
Lowe M, Arigo D, Butryn M, Gilbert J, Sarwer D, Stice E. Hedonic hunger prospectively predicts onset and maintenance of loss of control eating among college women. Health Psychol. 2016;35:238–44. doi:10.1037/hea0000291.
• Cardi V, Leppanen J, Treasure J. The effects of negative and positive mood induction on eating behavior: a meta-analysis of laboratory studies in the healthy population and eating and weight disorders. Neurosci Biobehav Rev. 2015;57:299–309. doi:10.1016/j.neubiorev.2015.08.011. This meta-analysis shows that both positive and negative emotions can impact on eating behavior. The effects were large for people with eating disorders.
Corr P. Approach and avoidance behavior: multiple systems and their interactions. Emot Rev. 2013;5:285–90. doi:10.1177/1754073913477507.
Gray J. Elements of a two-process theory of learning. London: Academic Press; 1975.
Casper RC, Sullivan EL, Tecott L. Relevance of animal models to human eating disorders and obesity. Psychopharmacology. 2008;199:313–29.
Corwin RL, Babbs RK. Rodent models of binge eating: are they models of addiction? ILAR J. 2012;53(1):23–34.
Kim SF. Animal models of eating disorders. Neuroscience. 2012;211:2–12.
Gestel MA, Kostrzewa E, Adan RAH, Janhunen SK. Pharmacological manipulations in animal models of anorexia and binge eating in relation to humans. Br J Pharmacol. 2014;171(20):4767–84.
Gao Q, Horvath TL. Neurobiology of feeding and energy expenditure. Annu Rev Neurosci. 2007;30:367–98.
Berthoud HR, Morrison C. The brain, appetite, and obesity. Annu Rev Psychol. 2008;59:55–92.
Sandoval D, Cota D, Seeley RJ. The integrative role of CNS fuel-sensing mechanisms in energy balance and glucose regulation. Annu Rev Physiol. 2008;70:513–35.
Castro DC, Cole SL, Berridge KC. Lateral hypothalamus, nucleus accumbens, and ventral pallidum roles in eating and hunger: interactions between homeostatic and reward circuitry. Front Syst Neurosci. 2015;9
Oginsky MF, Goforth PB, Nobile CW, Lopez-Santiago LF, Ferrario CR. Eating ‘junk-food’ produces rapid and long-lasting increases in NAc CP-AMPA receptors: implications for enhanced cue-induced motivation and food addiction. Neuropsychopharmacology. 2016;41(13):2977–86.
Murray S, Tulloch A, Gold MS, Avena NM. Hormonal and neural mechanisms of food reward, eating behaviour and obesity. Nat Rev Endocrinol. 2014;10(9):540–52.
Avena NM, Rada P, Hoebel BG. Evidence of sugar addiction: behavioral and neurochemical effects of intermittent, excessive sugar intake. Neurosci Biobehav Rev. 2008;32(1):20–39.
Stice E, Yokum S, Blum K, Bohon C. Weight gain is associated with reduced striatal response to palatable food. J Neurosci. 2010;30:13105–9.
Stice E, Yokum S, Zald D, Dagher A. Dopamine-based reward circuitry responsitivity, genetics, and overeating. Curr Top Behav Neurosci. 2010;6:81–93.
Johnson PM, Kenny PJ. Dopamine D2 receptors in addiction-like reward dysfunction and compulsive eating in obese rats. Nat Neurosci. 2010;13:635–41.
Volkow ND, Wang GJ, Baler RD. Reward, dopamine and the control of food intake: implications for obesity. Trends Cogn Sci. 2011;15:37–46.
• Segni MD, Patrono E, Patella L, Puglisi-Allegra S, Ventura R. Animal models of compulsive eating behavior. Nutrients. 2014;6(10):4591–609. This recent review provides an overview of the neurobiology of compulsive eating behavior in animals
Frisina PG, Sclafani A. Naltrexone suppresses the late but not early licking response to a palatable sweet solution: opioid hedonic hypothesis reconsidered. Pharmacology Biochem Behav. 2002;74:163–72.
Colantuoni C, Schwenker J, McCarthy J, Rada P, Ladenheim B, Cadet JL, et al. Excessive sugar intake alters binding to dopamine and mu-opioid receptors in the brain. Neuroreport. 2001;12(16):3549–52.
Avena NM. Binge eating: neurochemical insights from animal models. Eat Disord. 2008;17(1):89–92. doi:10.1080/10640260802371604.
Spangler R, Wittkowski KM, Goddard NL, Avena NM, Hoebel BG, Leibowitz SF, et al. Opiate-like effects of sugar on gene expression in reward areas of the rat brain. Brain Res Mol Brain Res. 2004;124(2):134–42.
Glass MJ, Grace MK, Cleary JP, Billington CJ, Levine AS. Naloxone’s effect on meal microstructure of sucrose and cornstarch diets. Am J Physiol Regul Integr Comp Physiol. 2001;281:R1605–12.
Olszewski PK, Klockars A, Schiöth HB, Levine AS. Oxytocin as feeding inhibitor: maintaining homeostasis in consummatory behavior. Pharmacol Biochem Behav. 2010;97(1):47–54.
Cochran D, Fallon D, Hill M, Frazier JA. The role of oxytocin in psychiatric disorders: a review of biological and therapeutic research findings. Harvard review of psychiatry. 2013;21(5):219.
Olszewski PK, Ulrich C, Ling N, Allen K, Levine AS. A non-peptide oxytocin receptor agonist, WAY-267,464, alleviates novelty-induced hypophagia in mice: insights into changes in c-Fos immunoreactivity. Pharmacol Biochem Behav. 2014;124:367–72.
Sabatier N, Leng G, Menzies J. Oxytocin, feeding, and satiety. Front Endocrinol. 2013;4(35):1–10.
Amico JA, Vollmer RR, Cai HM, Miedlar JA, Rinaman L. Enhanced initial and sustained intake of sucrose solution in mice with an oxytocin gene deletion. Am J Phys Regul Integr Comp Phys. 2005;289(6):R1798–806.
Corwin RL, Buda-Levin A. Behavioral models of binge-type eating. Physiol Behav. 2004;82:123–30.
Hagan MM, Wauford PK, Chandler PC, Jarrett LA, Rybak RJ, Black-burn K. A new animal model of binge eating: key synergistic role of past caloric restriction and stress. Physiol Behav. 2002;77:45–54.
Davis JD, Campbell CS. Peripheral control of meal size in the rat: effect of sham feeding on meal size and drinking rate. J Comp Physiol Psychol. 1973;83:379–87.
Smith GP. The direct and indirect controls of meal size. Neurosci Biobehav Rev. 1996;20:41–6.
Albuquerque D, Stice E, Rodríquez-López R, Mano L, Nóbrega C. Current review of genetics of human obesity: from molecular mechanisms to an evolutionary perspective. Mol Gen Genomics. 2015;290:1191–221. doi:10.1007/s00438-015-1015-9.
Robinson MJ, Burghardt PR, Patterson CM, Nobile CW, Akil H, Watson SJ, et al. Individual differences in cue-induced motivation and striatal systems in rats susceptible to diet-induced obesity. Neuropsychopharmacology. 2015;40(9):2113–23.
Boggiano MM, Artiga AI, Pritchett CE, Chandler-Laney PC, Smith ML, Eldridge AJ. High intake of palatable food predicts binge-eating independent of susceptibility to obesity: an animal model of lean vs obese binge-eating and obesity with and without binge-eating. Int J Obes. 2007;31(9):1357–67.
• Oginsky MF, Maust JD, Corthell JT, Ferrario CR. Enhanced cocaine-induced locomotor sensitization and intrinsic excitability of NAc medium spiny neurons in adult but not in adolescent rats susceptible to diet-induced obesity. Psychopharmacology. 2016;233(5):773–84. This study showed that obese prone rats show neuroprogressive changes in response to highly palatable foods
Jahng JW. An animal model of eating disorders associated with stressful experience in early life. Horm Behav. 2011;59(2):213–20.
Adam TC, Epel ES. Stress, eating and the reward system. Physiol Behav. 2007;91:449–58.
Pijlman FT, Wolterink G, Van Ree JM. Physical and emotional stress have differential effects on preference for saccharine and open field behaviour in rats. Behav Brain Res. 2003;139:131–8.
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;46:729–36. doi:10.1002/eat.22139.
Colantuoni C, Rada P, McCarthy J, Patten C, Avena NM, Chadeayne A, Hoebel BG. Evidence that intermittent, excessive sugar intake causes endogenous opioid dependence. Obes Res. 2002;10:478–88.
Avena NM, Bocarsly ME, Rada P, Kim A, Hoebel BG. After daily bingeing on a sucrose solution, food deprivation induces anxiety and accumbens dopamine/acetylcholine imbalance. Physiol Behav. 2008;94:309–15.
Cottone P, Sabino V, Steardo L, Zorrilla EP. Opioid-dependent anticipatory negative contrast and binge-like eating in rats with limited access to highly preferred food. Neuropsychopharmacology. 2007;33:524–35.
Galic MA, Persinger MA. Voluminous sucrose consumption in female rats: increased ‘nippiness’ during periods of sucrose removal and possible oestrus periodicity. Psychol Rep. 2002;90:58–60.
Oswald KD, Murdaugh DL, King VL, Boggiano MM. Motivation for palatable food despite consequences in an animal model of binge eating. Int J Eat Disord. 2011;44:203–11. doi:10.1002/eat.20808.
Barker DJ. The origins of the developmental origins theory. J Intern Med. 2007;261:412–7. doi:10.1038/mp.2010.107.
Hajj N, Schneider E, Lehnen H, Haaf T. Epigenetics and life-long consequences of an adverse nutritional and diabetic intrauterine environment. Reproduction. 2014;148:R111–20. doi:10.1530/REP-14-0334.
Roseboom TJ, de Rooij S, Painter RC. The Dutch famine and its ling-term consequences for adult health. Early Hum Dev. 2006;82:485–91. doi:10.1016/j.earlhumdev.2006.07.001.
Painter RC, Roseboom TJ, Bleker OP. Prenatal exposure to the Dutch famine and disease in later life: an overview. Reprod Toxicol. 2005;20:345–52. doi:10.1016/j.reprotox.2005.04.005.
Huang JS, Lee TA, Lu MC. Prenatal programming of childhood overweight and obesity. Matern Child Health J. 2007;11:461–73. doi:10.1007/s10995-006-0141-8.
Favaro A, Tenconi E, Santonastaso P. Perinatal factors and the risk of developing anorexia nervosa and bulimia nervosa. Arch Gen Psychiatry. 2006;63:82–8. doi:10.1001/archpsyc.63.1.82.
Carnell S, Wardle J. Appetitive traits in children. New evidence for associations with weight and a common, obesity-associated genetic variant. Appetite. 2009;53:260–3. doi:10.1016/j.appet.2009.07.014.
Cecil J, Dalton M, Finlayson G, Blundell J, Hetherington M, Palmer C. Obesity and eating behavior in children and adolescents: contribution of common gene polymorphisms. Int Rev Psychiatry. 2012;24:200–10. doi:10.3109/09540261.2012.685056.
Speakman JR. The ‘fat mass and obesity related’ (FTO) gene: mechanisms of impact on obesity and energy balance. Curr Obes Rep. 2015;4:73–91. doi:10.1007/s13679-015-0143-1.
Wardle J, Carnell S, Haworth CM, Plomin R. Evidence for a strong genetic influence on childhood adiposity despite the force of the obesogenic environment. Am J Clin Nutr. 2008;87:398–404.
• Cecil JE, Tavendale R, Watt P, Hetherington MM, Palmer CAN. An obesity-associated variant in the FTO gene is associated with increased food intake in young children. N Engl J Med. 2008;359(24):2558–66. doi:10.1056/NEJMoa0803839. The authors of this study found that the A allele for the FTO gene in children is associated with an increased BMI and food intake on a test meal.
• Cornelis MC, Rimm EB, Curhan GC, Kraft P, Hunter DJ, Hu FB, van Dam RM. Obesity susceptibility loci and uncontrolled eating, emotional eating and cognitive restraint behaviors in men and women. Obesity (Silver Spring). 2014;22:E135–41. doi:10.1002/oby.20592. This study provides evidence that there is a link between genetics and emotional/ uncontrolled eating.
Micali N, Field AE, Treasure J, Evans DM. Are obesity risk genes associated with binge eating in adolescence? Obesity (Silver Spring). 2015;23:1729–36. doi:10.1002/oby.21147.
Tanofsky-Kraff M, Han JC, Anandalingam K, Shomaker LB, Columbo KM, et al. The FTO gene rs9939609 obesity-risk allele and loss of control over eating. Am J Clin Nutr. 2009;90:1483–8. doi:10.3945/ajcn.2009.28439.
Boraska V, Franklin CS, Floyd JA, Thornton LM, Huckins LM, et al. A genome-wide association study of anorexia nervosa. Mol Psychiatry. 2014;19:1085–94. doi:10.1038/mp.2013.187.
Wang K, Zhang H, Bloss CS, Duvvuri V, Kaye W, Schork NJ, Berrettini W, Hakonarson H, Price Foundation Collaborative Group. A genome-wide association study on common SNPs and rare CNVs in anorexia nervosa. Mol Psychiatry. 2011;16:949-49.
• Caglar-Nazali HP, Corfield F, Cardi V, Ambwani S, Leppanen J, et al. A systematic review and meta-analysis of ‘Systems for Social Processes’ in eating disorders. Neurosci Biobehav Rev. 2014;42:55–92. doi:10.1016/j.neubiorev.2013.12.002. This meta-analysis suggested that people with eating disorders have difficulties with socio-emotional functioning.
Illing V, Tasca GA, Balfour L, Bissada H. Attachment insecurity predicts eating disorder symptoms and treatment outcomes in a clinical sample of women. J Nerv Ment Dis. 2010;198:653–9. doi:10.1097/NMD.0b013e3181ef34b2.
Maras D, Obeid N, Flament M, Bucholz A, Henderson KA, Gick M, Goldfield GS. Attachment style and obesity: disordered eating behaviors as a mediator in a community sample of Canadian youth. J Dev Behav Pediatr. 2016;37:762–70. doi:10.1097/DBP.0000000000000361.
Gander M, Sevecke K, Buchheim A. Eating disorders in adolescence: attachment issues from a developmental perspective. Front Psychol. 2015;6:1136. doi:10.3389/fpsyg.2015.01136.
Jewell T, Collyer H, Gardner T, Tchanturia K, Simic M, Fonagy P, Eisler I. Attachment and mentalization and their association with child and adolescent eating pathology: a systematic review. Int J Eat Disord. 2016;49:354–73. doi:10.1002/eat.22473.
Tasca GA, Balfour L. Attachment and eating disorders: a review of current research. Int J Eat Disord. 2014;47:710–7. doi:10.1002/eat.22302.
Zachrisson HD, Skårderud F. Feelings of insecurity: review of attachment and eating disorders. Eur Eat Disord Rev. 2010;18:97–106. doi:10.1002/erv.999.
Jacobi C, Hayward C, de Zwaan M, Kraemer HC, Agras WS. Coming to terms with risk factors for eating disorders: application of risk terminology and suggestions for a general taxonomy. Psychol Bull. 2004;130:19–65.
Hemmingsson E, Johansson K, Reynisdottir S. Effects of childhood abuse on adult obesity: a systematic review and meta-analysis. Obes Rev. 2014;15:882–93. doi:10.1111/obr.12216.
Wang Y, Wu B, Yang H, Song X. The effect of childhood abuse on the risk of adult obesity. Ann Clin Psychiatry.
Boswell R, Kober H. Food cue reactivity and craving predict eating and weight gain: a meta-analytic review. Obes Rev. 2016;17:159–77. doi:10.1111/obr.12354.
Small DM. Individual differences in the neurophysiology of reward and the obesity epidemic. Int J Obes. 2009;23:S44–8. doi:10.1038/ijo.2009.71.
Yokum S, Ng J, Stice E. Attentional bias to food images associated with elevated weight and future weight gain: an fMRI study. Obesity. 2011;19(9):1775–83.
Stice E, Figlewicz D, Gosnell B, Levine A, Pratt W (2013). The contribution of brain reward circuits to the obesity epidemic. Neuorsci Biobehav Rev; 37. doi: 10.1016/j.neubiorev.2012.12.001
Demos KE, Heatherton TF, Kelley WM. Individual differences in nucleus accumbens activity to food and sexual images predict weight gain and sexual behaviour. J Neurosci. 2012;18:32. doi:10.1523/JNEUROSCI.5958-11.2012.
Murdaugh D, Cox J, Cook E, Weller R. fMRI reactivity to high-calorie food predicts short- and long-term outcome in a weight-loss program. NeuroImage. 2012;59:2709–21.
Schäfer A, Vaitl D, Schienle A. Regional grey matter volume abnormalities in bulimia nervosa and binge-eating disorder. NeuroImage. 2010;50:639–43. doi:10.1016/j.neuroimage.2009.12.063.
Schienle A, Schäfer A, Hermann A, Vaitl D. Binge-eating disorder: reward sensitivity and brain activation to images of food. Biol Psychiatry. 2009;15:654–61. doi:10.1016/j.biopsych.2008.09.028.
Kringelbach ML, Rolls ET. The functional neuroanatomy of the human orbitofronal cortex: evidence from neuroimaging and neuropsychology. Prog Neurobiol. 2004;72:341–72. doi:10.1016/j.pneurobio.2004.03.006.
Marsh R, Steinglass JE, Gerber AJ, Graziano O’Leary K, Wang Z, Murphy D, Walsh BT, Peterson BS. Deficient activity in the neural systems that mediate self-regulatory control in bulimia nervosa. Arch Gen Psychiatry. 2009;66:51–63. doi:10.1001/archgenpsychiatry.2008.504.
• Evers C, Adriaanse M, de Ridder DT, de Witt Huberts JC. Good mood food. Positive emotion as a neglected trigger for food intake. Appetite. 2013;68:1–7. doi:10.1016/j.appet.2013.04.007. The authors of this paper highlighted that research should consider the role that positive emotions have on eating behavior. This is important because predominatley research has focused on negative emotions.
Crockett AC, Myhre AC, Myhre SK, Rokke PD. Boredom proneness and emotion regulation predict emotional eating. J Health Psychol. 2015;20:670–80. doi:10.1177/1359105315573439.
Tanofsky-Kraff M, Theim KR, Yanovski SZ, Bassett AM, Burns NP, Ranzenhofer LM, Glasofer DR, Yanovski JA. Validation of the emotional eating scale adapted for use in children and adolescents (EES-C). Int J Eat Disord. 2007;40:232–40. doi:10.1002/eat.20362.
Bruch H. Eating disorders: obesity, anorexia nervosa and the person within. New York: Basic Books; 1973.
Kaplan HI, Kaplan HS. The psychosomatic concept of obesity. J Nerv Ment Dis. 1957;125:201.
Vannucci A, Tanofsky-Kraff M, Shomaker LB, Razenhofer LM, Matheson BE, Cassidy OL, Zocca JM, Kozlosky M, Yanovski SZ, Yanovski JA. Construct validity of the emotional eating scale adapted for children and adolescents. Int J Obes. 2012;36:938–43. doi:10.1038/ijo.2011.225.
Braet C, Van Strein T. Assessment of emotional, externally induced and restrained eating behaviour in nine to twelve-year old obese and non-obese children. Behav Res Ther. 1997;35:863–73. doi:10.1177/1359105308093850.
Braet C, Claus L, Goossens L, Moens E, Van Vlierberghe L, Soetens B. Differences in eating style between overweight and normal-weight youngsters. J Health Pychol. 2008;13:733–43.
Snoek HM, van Strein T, Janssens JM, Engels RC. Emotional, external, restrained eating and overweight in Dutch adolescents. Scand J Psychol. 2007;48:23–32. doi:10.1111/j.1467-9450.2006.00568.x.
Balantekin KN, Birch LL, Savage JS. Eating in the absence of hunger during childhood predicts self-reported binge eating in adolescence. Eat Behav. 2017;24:7–10. doi:10.1016/j.eatbeh.2016.11.003.
• Stojek MM, Tanofsky-Kraff M, Shomaker LB, Kelly NR, Thompson KA, Mehari RD, Marwitz SE, Demidowich AP, Galescu OA, Brady SM, Yanovski SZ, Yanovski JA. (2016) Associations of adolescent emotional and loss of control eating with 1-year changes in disordered eating, weight and adiposity. Int J Eat Disord; 18. doi: 10.1002/eat.22636 . This prospective cohort study showed that emotional eating in conjunction with a loss of control over eating predicts weight gain over a one-year time period.
Ganley RM. Emotion and eating in obesity: a review of the literature. Int J Eat Disord. 1989;8:343–61. doi:10.1002/1098-108X(198905)8:3<343::AID-EAT2260080310>3.0.CO;2-C.
Geliebter A, Aversa A. Emotional eating in overweight, normal weight, and underweight individuals. Eat Behav. 2003;3:341–7.
Rommel D, Nandrino J-L, Ducro C, Andrieux S, Delecourt F, Antoine P. Impact of emotional awareness and parental binding on emotional eating in obese women. Appetite. 2012;59:21–6. doi:10.1016/j.appet.2012.03.006.
Van Strein T, Herman CP, Vereijden NW. Eating style, overeating, and overweight in a representative Dutch sample. Does external eating play a role? Appetite. 2009;52:380–7. doi:10.1016/j.appet.2008.11.010.
Van Strein T, Herman CP, Verheijden MW. Eating style, overeating and weight gain. A prospective 2-year follow-up study in a representative Dutch sample. Appetite. 2012;59:782–9. doi:10.1016/j.appet.2012.08.009.
Masheb RM, Grilo CM. Emotional overeating and its associations with eating disorder psychopathology among overweight patients with binge eating disorder. Int J Eat Disord. 2006;39:141–6.
Zeeck A, Stelzer N, Linster HW, Joos A, Hartmann A. Emotion and eating in binge eating disorder and obesity. Eur Eat Disord Rev. 2011;19:426–37. doi:10.1002/erv.1066.
Cardi V, Di Matteo R, Corfield F, Treasure J. Social reward and rejection sensitivity in eating disorders: an investigation of attentional bias and early experiences. World J Biol Psychiatry. 2013;14:622–33. doi:10.3109/15622975.2012.665479.
Cardi V, Di Matteo R, Gilbert P, Treasure J. Rank perception and self-evaluation in eating disorders. Int J Eat Disord. 2014;47:543–52. doi:10.1002/eat.22261.
Crosby R, Wonderlich S, Engel S, Simonich H, Smyth J, Mitchell J. Daily mood patterns and bulimic behaviors in the natural environment. Behav Res Ther. 2009;47:181–8. doi:10.1016/j.brat.2008.11.006.
Hilbert A, Tuschen-Caffier B. Maintenance of binge eating through negative mood: a naturalistic comparison of binge eating disorder and bulimia nervosa. Int J Eat Disord. 2007;40:521–30. doi:10.1002/eat.20401.
Smyth JM, Wonderlich SA, Heron KE, Sliwinski MJ, Crosby RD, Mitchell JE, Engel SG. Daily and momentary mood and stress are associated with binge eating and vomiting in bulimia nervosa patients in the natural environment. J Consult Clin Psychol. 2007;75:629–38. doi:10.1037/0022-006X.75.4.629.
Haedt-Matt AA, Keel PK. Revisiting the affect regulation model of binge eating: a meta-analysis of studies using ecologival momentary assessment. Psychol Bull. 2011;137:660–81. doi:10.1037/a0023660.
Gross J. Emotion regulation: past, present. Future Cognition and emotion. 1999;13:551–73. doi:10.1080/026999399379186.
Polivy J, Herman CP. Binge eating: nature, assessment, and treatment. New York: US: Guilford Press; 1993.
Heatherton TF, Baumeister RF. Binge eating as escape from self-awareness. Psychol Bull. 1991;110:86–108.
Stice E. Risk and maintenance factors for eating pathology: a meta-analytic review. Psychol Bull. 2002;128:825–48.
Stice E, Agras S. Predicting onset and cessation of bulimic behaviors during adolescence: a longitudinal grouping analysis. Behav Ther. 1998;29:257–76. doi:10.1016/S0005-7894(98)80006-3.
Treasure J, Corfield F, Cardi V. A three-phase model of the social emotional functioning in eating disorders. Eur Eat Disord Rev. 2012;20:431–8. doi:10.1002/erv.2181.
• Robbins TW, Gillan CW, Smith DG, de Wit S, Ersche KD. Neurocognitive endophenotypes of impulsivity and compulsivity: towards dimensional psychiatry. Trends Cogn Sci. 2012;16:81–91. doi:10.1016/j.tics.2011.11.009. This paper highlighted that impulsivity and compulsivity are transdiagnostic traits that may underpin a range of mental ill nesses. It built upon findings from animal research and has provided a useful framework for the classification and treatment of mental illness in humans.
Smith D, Robbins T. The neurobiological underpinnings of obesity and binge eating: a rationale for adopting the food addiction model. Biol Psychiatry. 2013;73:804–10. doi:10.1016/j.biopsych.2012.08.026. 10.1146/annurev-psych-122414-033457
Everitt B, Robbins T. Drug addiction: updating actions to habits to compulsions ten years on. Annu Rev Psychol. 2016;67:23–50.
• Pearson CM, Wonderlich SA, Smith GT. A risk and maintenance model for bulimia nervosa: from impulsive action to compulsive behavior. Psychol Rev. 2015;122:516–35. doi:10.1037/a0039268. This model integrates the latest findings relating to emotions and neurobiology in bulimia nervosa.
Bari A, Robbins TW. Inhibition and impulsivity: behavioral and neural basis of response control. Prog Neurobiol. 2013;108:44–79. doi:10.1016/j.pneurobio.2013.06.005.
Wu M, Giel KE, Skunde M, Schag K, Rudofsky G, et al. Inhibitory control and decision making under risk in bulimia nervosa and binge-eating disorder. Int J Eat Disord. 2013;46:721–8. doi:10.1002/eat.22143.
Nederkoorn C, Braet C, Van Eijs Y, Tanghe A, Jansen A. Why obese children cannot resist food: the role of impulsivity. Eat Behav. 2006;7:315–22. doi:10.1016/j.eatbeh.2005.11.005.
Nederkoorn C, Jansen E, Mulkens S, Jansen A. Impulsivity predicts treatment outcome in obese children. Beh Res Ther. 2007;45:1071–5. doi:10.1016/j.brat.2006.05.009.
Lock J, Garrett A, Beenhakker J, Reiss A. Aberrant brain activation during a response inhibition task in adolescent eating disorder subtypes. Am J Psychiatry. 2011;168:55–64. doi:10.1176/appi.ajp.2010.10010056.
Marsh R, Steinglass J, Gerber A, O’Leary K, Wang Z, Murphy D, Walsh T, Peterson B. Deficient activity in the neural systemas that mediate self-regulatory control in bulimia nervosa. Arch Gen Psyhchiatry. 2009;66:51–3. doi:10.1001/archgenpsychiatry.2008.504.
Marsh R, Horga G, Wang Z, Wang P, Klahr KW, Berner LA, Walsh BT, Peterson BS. An fMRI study of relf-regulatory control and conflict resolution in adolescents with bulimia nervosa. Am J Psychiatry. 2011;168:1210–20. doi:10.1176/appi.ajp.2011.11010094.
Skunde M, Walther S, Simon J, Wu M, Bendszus M, Herzog W, Friederich HC. Neural signature of behavioural inhibition in women with bulimia nervosa. J Psychiatry Neurosci. 2016;41:E69–78. doi:10.1503/jpn.150335.
Treasure J, Cardi V, Leppanen J, Turton R. New treatment approaches for severe and enduring eating disorders. Physiol Behav. 2015;1:456–65. doi:10.1016/j.physbeh.2015.06.007.
Lutter M, Nestler EJ. Homeostatic and hedonic signals interact in the regulation of food intake. J Nutr. 2009;139:629–32. doi:10.3945/jn.108.097618.
Higgs S. Memory and its role in appetite regulation. Physiol Behav. 2005;19:67–72. doi:10.1016/j.physbeh.2005.04.003.
Adriaanse MA, Vinkers CD, De Ridder DT, Hox JJ, De Wit JB. Do implementation intentions help to eat a healthy diet? A systematic review and meta-analysis of the empirical evidence. Appetite. 2011;56:183–93. doi:10.1016/j.appet.2010.10.012.
Turton R, Bruidegom K, Cardi V, Hirsch CR, Treasure J. Novel methods to help develop healthier eating habits for eating and weight disorders: a systematic review and meta-analysis. Neurosci Biobehav Rev. 2016;61:132–55. doi:10.1016/j.neubiorev.2015.12.008.
Boutelle KN, Monreal T, Strong DR, Amir N. An open trial evaluating an attention bias modification program for overweight adults who binge eat. J Behav Ther Exp Psychiatry. 2016;52:138–46. doi:10.1016/j.jbtep.2016.04.005.
Brockmeyer T, Schmidt U, Friederich HC. The ABBA study—approach bias modification in bulimia nervosa and binge eating disorder: study protocol for a randomised controlled trial. Trials. 2016;17:466. doi:10.1186/s13063-016-1596-6.
Cardi V, Clarke A, Treasure J. The use of guided self-help incorporating a mobile component in people with eating disorders: a pilot study. Eur Eat Disord Rev. 21; 315–22. doi: 10.1002/erv.2235.
Kim YR, Eom JS, Yang JW, Kang J, Treasure J. The impact of oxytocin on food intake and emotion recognition in patients with eating disorders: a double blind single dose within-subject cross-over design. PLoS One. 2015;24:10. doi:10.1371/journal.pone.0137514.
Acknowledgements
Robert Turton receives funding from the Medical Research Council (MRC) and the Psychiatry Research Trust (PRT) (Grant PCPTAAR). Professor Janet Treasure receives support from the National Institute for Health Research (NIHR), Mental Health Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King’s College London. The views expressed in this article are those of the author(s) and not necessarily those of Kings College London, the MRC, the PRT or the NIHR.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of Interest
Robert Turton, Rayane Chami and Janet Treasure declare they have no conflict of interest.
Human and Animal Rights and Informed Consent
This article does not contain any studies with human or animal subjects performed by any of the authors.
Additional information
Robert Turton and Rayane Chami are joint first authors
This article is part of the Topical Collection on Psychological Issues
Rights and permissions
About this article
Cite this article
Turton, R., Chami, R. & Treasure, J. Emotional Eating, Binge Eating and Animal Models of Binge-Type Eating Disorders. Curr Obes Rep 6, 217–228 (2017). https://doi.org/10.1007/s13679-017-0265-8
Published:
Issue Date:
DOI: https://doi.org/10.1007/s13679-017-0265-8