Trait Food Craving Research Articles

Trait food craving predicts functional connectivity between dopaminergic midbrain and the fusiform food area during eating imagery.

Neurofunctional coupling between the dopaminergic midbrain (i.e., ventral tegmental area, VTA) and higher-order visual regions may contribute to food craving, leading to the onset or maintenance of obesity. We recently showed that the VTA resting-state functional connectivity with the occipitotemporal cortex, at the level of the fusiform gyrus (FFG), was specifically associated with trait food craving and the implicit bias for food images, suggesting that VTA-FFG connectivity may reflect the association between the visual representations of food and its motivational properties. To further test this hypothesis, this time we studied task-based functional connectivity in twenty-eight healthy-weight participants while imagining eating their most liked high-calorie (HC) or least liked low-calorie food (LC) or drinking water (control condition). Trait food craving scores were used to predict changes in task-based functional connectivity of the VTA during imagery of HC compared to LC foods (relative to the control condition). Trait food craving was positively associated with the functional connectivity of the VTA with the left FFG: people with higher trait food craving scores show stronger VTA-FFG connectivity, specifically for the imagery of the liked HC foods. This association was not linked to the quality of imagery nor to state measures of craving, appetite, or thirst. These findings emphasize the contribution of the functional coupling between dopaminergic midbrain and higher-order visual regions to food craving, suggesting a neurofunctional mechanism by which the mental representations of the HC food we like can become much more salient if not irresistible.

Associations between trait food craving and adolescents’ preferences for and consumption of healthy versus unhealthy foods

Adolescents experiencing stress sometimes exhibit an increase in unhealthy eating behaviors; however, it is unclear whether and how adolescents' food cravings play a role in adolescents’ behavioral reactivity to stress. The present study evaluated whether trait food craving predicted preferences for and actual consumption of unhealthy (i.e., high fat and/or high sugar) versus healthy foods following the Trier Social Stress Test in a sample of 96 adolescents. Further, we evaluated whether emotion regulation moderated these associations, such that those who endorsed more frequent use of maladaptive emotion regulation strategies exhibited a higher preference for and consumption of unhealthy foods. Results indicated that higher levels of trait food craving predicted higher levels of unhealthy food consumption after the laboratory stressor. However, trait food craving did not predict preferences for healthy or unhealthy food, nor consumption of healthy food, following the stressor. Additionally, emotion regulation did not moderate any of these associations. These findings suggest that trait food tendencies may play a role in adolescents’ food-related behavior in response to acute stressors, should they be replicated in other studies using both laboratory-based and naturalistic designs to study adolescent eating behaviors.

Reliability and convergence of approach/avoidance bias assessment tasks in the food consumption domain.

Theories of motivation posit that people will more readily approach positive or appetitive stimuli, and there has been growing interest in the relationship between biases in approach and avoidance behaviours for food cues and food craving and consumption behaviour. Two paradigms commonly employed by research to investigate this relationship are the approach-avoidance task (AAT) and the stimulus-response compatibility task (SRCT). However, it is yet to be determined whether the measures yielded by these tasks reflect the same processes operating in the food craving and consumption domain. The present study examined the internal reliability and convergence of AAT and SRCT paradigms in their assessment of biased approach to unhealthy compared with healthy food stimuli, and whether the measures yielded by the AAT and SRCT paradigms demonstrated associations with individual differences in food craving and eating behaviour. One hundred twenty-one participants completed an SRCT, an AAT using an arm movement response mode, and an AAT using a key-press response mode. The measures yielded comparable and acceptable levels of internal consistency, but convergence between the different task bias scores was modest or absent, and only approach bias as measured with the AAT task using an arm movement response mode was associated with self-report measures of eating behaviour and trait food craving. Thus, tasks did not converge strongly enough to be considered equivalent measures of approach/avoidance biases, and the AAT task using an arm movement response seems uniquely suited to detect approach biases argued to characterise maladaptive eating behaviour and craving.

Temporal dynamics of mental imagery, craving and consumption of craved foods: an experience sampling study

Objective: According to the elaborated intrusion theory of desire, an initial thought about a wanted substance is elaborated with mental imagery, which increases craving and the probability of consuming the substance. We used an app-assisted experience sampling approach to test this theory in the context of food craving and eating.Design: Overall, 221 females (mean age = 21 years; mean body mass index = 22) reported craving, mental imagery, and food consumption six times per day (2 h intervals) for seven consecutive days. Additionally, two traits (general food craving and imagery ability) were assessed.Main outcome measures: craving intensity, food consumption.Results: The probability of eating a craved food increased if the vividness of the mental food image and craving intensity increased two hours before – independent of trait food craving and trait imagery ability. We also found evidence of controlled eating behavior, with participants consuming the food they craved in only 38% of the cases.Conclusion: Mental imagery vividness and craving intensity predict consumption of craved food. The association between craving and eating might be stronger in individuals who struggle with controlling their eating behavior. Therefore, future studies should examine these relationships in overweight/obese samples or patients with eating disorders.

Reinforcement Sensitivity Personality Factors, BMI, and Lack of Inhibitory Control as Predictors of Trait Food Craving

Reinforcement Sensitivity Personality Factors, BMI, and Lack of Inhibitory Control as Predictors of Trait Food Craving

Differences in Food Craving in Individuals With Obesity With and Without Binge Eating Disorder.

Overeating behavior is supposedly a major contributing factor to weight gain and obesity. Binge eating disorder (BED) with reoccurring episodes of excessive overeating is strongly associated with obesity. Learning models of overeating behavior and BED assume that mere confrontation with food leads to a conditioned response that is experienced as food craving. Accordingly, individuals with obesity and BED were shown to have high trait food cravings. To date, little is known about differences in state food cravings and cue reactivity at the sight of palatable food in individuals with obesity and BED compared to individuals with obesity without BED. Therefore, the aim of our study was to examine differences in cue-induced, state and trait food cravings in people with obesity with and without BED. We found that all aspects of food cravings were more prevalent in individuals with obesity and BED than in individuals without BED. By implementing a food cue reactivity paradigm, our results show that individuals with obesity with BED have more cue-induced cravings than individuals with obesity without BED. Moreover, these cue-induced cravings in individuals with obesity and BED were highest for high-fat and high-sugar foods as opposed to low-calorie foods. Thus, our results emphasize the role of increased cue reactivity and craving at the sight of palatable foods in individuals with obesity and BED. Hence, our findings support etiological models of conditioned binge eating and are in line with interventions targeting cue reactivity in BED.

Food approach bias is moderated by the desire to eat specific foods

In a post-scarcity world, energy intake and excesses therein are mediated by psychological mechanisms, such as implicit inclinations to approach certain foods. We investigated how food deprivation, calorie content and individual food preferences affect this approach bias. Sixty women performed a touchscreen-based approach-avoidance task featuring a wide range of food items, once while satiated and once while food-deprived for 15 h. We found an overall approach bias towards food that was not influenced by food deprivation or calorie density of the food items. Instead, we found that approach bias related to the participants’ (lack of) desire to eat specific food items, and to a lesser extent to how much their general desire to eat changed due to food deprivation. Links with food preference were selective to trials in which foods had to be approached, and were absent in trials in which foods had to be avoided, pointing to selectivity to appetitive brain systems and clarifying the nature of the bias. Approach bias was unrelated to overall state or trait food craving. We conclude approach bias for appetitive stimuli may primarily express itself as speeded approach rather than slowed avoidance. Additionally, our results show there is merit in personalizing stimulus selection for approach bias measurement and retraining, as approach bias was concordant with individual food preferences, rather than objective calorie content.

Combining cognitive bias modification training (CBM) and transcranial direct current stimulation (tDCS) to treat binge eating disorder: study protocol of a randomised controlled feasibility trial

IntroductionBinge eating disorder (BED) is a common mental disorder, closely associated with obesity. Existing treatments are only moderately effective with high relapse rates, necessitating novel interventions. This paper describes the...

Picture this: the role of mental imagery in induction of food craving – a theoretical framework based on the elaborated intrusion theory

Purpose This paper aims to explore the influence of four types of imagery stimuli (i.e. visual, olfactory, gustatory and auditory) on food craving intensity based on the Elaborated Intrusion theory and the central role of mental imagery in the food craving experience. The roles of overall perception of sensory imagery attributes and perceived availability in moderating this process were also tested. The aim is to extract the positive aspects of food cravings by increasing them and shifting them toward healthy foods. Design/methodology/approach In an online experiment, 314 participants were randomly primed with each imagery condition. After being exposed to either healthy or unhealthy food pictures, participants completed a questionnaire measuring their craving state, trait food craving, imaging ability, BMI, dietary restraint, hunger and mood. At the end, the impact of food craving intensity on marketing outcomes (i.e. willingness to pay, price sensitivity and food intake) were tested. Findings As predicted, visual imagery was found to be the strongest stimulus inducing food craving followed by olfactory, gustatory and auditory stimuli. Furthermore, the results indicate that perceived availability of food is the only important variable moderating this process. Additionally, the results show that hunger makes consumers more susceptible to food cravings than mood. Moreover, food craving intensity showed significant impact on the two marketing outcomes: willingness to pay and food intake. Research limitations/implications First, the authors used a cheeseburger as unhealthy food and salad as healthy food, future studies can increase the generalizability of the findings by using other types of food. Second, physiological and psychological disorders should be considered and studied as influential factors on food cravings in future studies. Third, future studies should include some behavioral measures besides the analysis of state and trait craving. Fourth, although the main objective of this study was to compare the effect of different imagery stimuli on consumers’ food craving, there was no control (no-stimulus) condition. Practical implications Marketing strategists may benefit from the fact that encouraging consumers to visualize some specific type of food product along with informing them about its availability will elevate their craving for that food product. Hence, using this strategy in shopping environments could be beneficial. In the context of improving people’s diet, our results showed that encouraging people to visualize healthy foods (e.g. fruits and vegetables) might be more helpful than priming them with the benefits of eating healthy. Originality/value There has been a recent enthusiastic interest in identifying the role of food related mental imagery and stimuli in consumers’ decision making and their final consumption (Christian et al., 2016). Nevertheless, very few studies in marketing have paid attention to these underpinning stimuli driving food craving and the significant influence of this food craving phenomenon on marketing outcomes.

Applying a multidimensional model of craving to disordered eating behaviors: Development of the Food Approach and Avoidance Questionnaire.

Despite revisions to the DSM-5, current diagnostic criteria poorly capture the phenomena of eating disorders. The construct of food craving may help to explain the range of disordered eating and compensatory behaviors, but current measures do not fully capture the construct. Borrowing from the substance use literature and emphasizing both approach and avoidance craving inclinations, the ambivalence model of craving (AMC) provides a useful framework for predicting broad patterns of disordered eating behaviors. This study sought to develop and preliminarily validate a multidimensional AMC-based measure of food craving. Items for the Food Approach and Avoidance Questionnaire were generated and development and validation data were collected via online survey from community-based adults and university students (N = 1,070). Exploratory factor and item response theory analyses were used for measure development. Linear regressions were used to examine convergent and discriminant validity. Exploratory sensitivity analyses included logistic regressions and receiver operating characteristic curves. As hypothesized, a 2-factor measure was supported. No sex differences emerged in item functioning. The approach factor was associated with greater trait food craving, more uncontrolled eating, and greater likelihood of meeting self-reported diagnostic criteria for bulimia nervosa and binge eating disorder. The avoidance factor was associated with higher levels of restrained eating, drive for thinness, and an increased likelihood of meeting self-reported diagnostic criteria for anorexia nervosa and bulimia nervosa. Preliminary data support a new multidimensional measure of approach and avoidance food craving with potential for a transdiagnostic conceptualization of disordered eating and compensatory behaviors. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Approach bias modification training in bulimia nervosa and binge-eating disorder: A pilot randomized controlled trial.

Bulimia nervosa (BN) and binge-eating disorder (BED) are associated with poorly controlled approach behavior toward food resulting in binge eating. Approach bias modification (ABM) may reduce these automatic action tendencies (i.e., approach bias) toward food and may thus decrease binge eating and related symptoms. A total of 56 patients with BN/BED participated in this double-blind, randomized controlled trial (RCT) comparing real and sham ABM. The real ABM condition adopted an implicit learning paradigm in which participants were trained to show avoidance behavior in response to food cues. Participants in the sham condition used a similar task but were not trained to avoid food cues. Both conditions comprised 10 training sessions within 4 weeks. Participants in both groups experienced significant reductions in binge eating, eating disorder symptoms, trait food craving, and food cue reactivity. Real ABM tended to result in greater reductions in eating disorder symptoms than sham ABM. Food intake, approach bias, and attention bias toward food did not change. This is the first RCT on ABM in eating disorders. The findings provide limited support for the efficacy of ABM in BN/BED and pose questions regarding its active ingredients and its usefulness as a stand-alone treatment for eating disorders.

Food cue-induced craving in individuals with bulimia nervosa and binge-eating disorder.

Individuals with bulimia nervosa (BN) or binge-eating disorder (BED) experience more frequent and intense food cravings than individuals without binge eating. However, it is currently unclear whether they also show larger food cue-induced increases in craving (i.e., food cue reactivity) than those without binge eating, as suggested by conditioning theories of binge eating. A group of individuals with BN or BED (binge-eating group, n = 27) and a group of individuals with low trait food craving scores and without binge eating (control group, n = 19) reported their current food craving before and after a food cue exposure. Although food craving intensity significantly increased in both groups, this increase was significantly stronger in the binge-eating group than in the control group. This result is in line with conditioning models of binge eating that propose that food cues are conditioned stimuli that elicit a conditioned response (e.g., food craving) and that this association is stronger in individuals with binge eating. As food craving increased in individuals with low trait food craving scores as well—although to a lesser extent—previous null results might be explained by methodological considerations such as not screening control participants for trait food craving.

The role of craving in emotional and uncontrolled eating

This study presents a novel application of the cognitive processing model of alcohol craving (CPMA) from the addictions field to the role of food craving in the well-established restrained eating–overeating relationship associated with binge eating disorder (BED). A community sample (N = 1058, ages 18-66) completed an online survey assessing four core domains: restrained eating, trait food craving, uncontrolled eating, and emotional eating. In accordance with the CPMA, food craving emerged as a significant indirect effect of the association between restrained eating and both uncontrolled and emotional eating. Gender did not significantly moderate any direct or indirect associations, suggesting that gender may not change the pattern of association between restrained eating and different facets of overeating. Results suggest that treatments targeting binge eating behaviors may benefit from 1) explicitly addressing the activation of food craving rather than concentrating on reducing restrained eating and 2) recognizing that food craving may be an important gender-neutral target with the potential to reduce binge and overeating behaviors. Future research should extend these preliminary findings by examining the application of the CPMA to eating behaviors while jointly investigating antecedents and contextual factors.

Testing a mobile mindful eating intervention targeting craving-related eating: feasibility and proof of concept.

Theoretically driven smartphone-delivered behavioral interventions that target mechanisms underlying eating behavior are lacking. In this study, we administered a 28-day self-paced smartphone-delivered intervention rooted in an operant conditioning theoretical framework that targets craving-related eating using mindful eating practices. At pre-intervention and 1-month post-intervention, we assessed food cravings among adult overweight or obese women (N=104; M age=46.2±14.1years; M BMI=31.5±4.5) using ecological momentary assessment via text message (SMS), self-reported eating behavior (e.g., trait food craving), and in-person weight. Seventy-eight participants (75.0%) completed the intervention within 7months ('all completers'), and of these, 64 completed the intervention within 3months ('timely completers'). Participants experienced significant reductions in craving-related eating (40.21% reduction; p<.001) and self-reported overeating behavior (trait food craving, p<.001; other measures ps<.01). Reductions in trait food craving were significantly correlated with weight loss for timely completers (r=.30, p=.020), this pattern of results was also evident in all completers (r=.22, p=.065). Taken together, results suggest that smartphone-delivered mindful eating training targeting craving-related eating may (1) target behavior that impacts a relative metabolic pathway, and (2) represent a low-burden and highly disseminable method to reduce problematic overeating among overweight individuals. ClinicalTrials.gov registration: NCT02694731.

Food cravings in everyday life: An EMA study on snack-related thoughts, cravings, and consumption

Food craving refers to an intense desire to consume a specific food and is regularly experienced by the majority of individuals. Yet, there are interindividual differences in the frequency and intensity of food craving experiences, which is often referred to as trait food craving. The characteristics and consequences of trait and state food craving have mainly been investigated in questionnaire-based and laboratory studies, which may not reflect individuals’ behavior in daily life. In the present study, sixty-one participants completed the Food Cravings Questionnaire-Trait-reduced (FCQ-T-r) as measure of trait food craving, followed by seven days of Ecological Momentary Assessment (EMA), during which they reported snack-related thoughts, craving intensity, and snack consumption at five times per day. Results showed that 86 percent of reported snacks were high-caloric, with chocolate-containing foods being the most often reported snacks. Individuals with high FCQ-T-r scores (high trait food cravers, HCs) thought more often about high-calorie than low-calorie snacks whereas no differences were found in individuals with low FCQ-T-r scores (low trait food cravers, LCs). Further, the relationship between craving intensity and snack-related thoughts was stronger in HCs than in LCs. Higher craving intensity was associated with more consumption of snacks and again this relationship was stronger in HCs than in LCs. Finally, more snack-related thoughts were related to more frequent consumption of snacks, independent of trait food craving. Thus, HCs are more prone to think about high-calorie snacks in their daily lives and to consume more snack foods when they experience intense cravings, which might be indicative of a heightened responding towards high-calorie foods. Thus, trait-level differences as well as snack-related thoughts should be targeted in dietary interventions.

Indirect effects of trait impulsivity on body mass

Trait impulsivity has been suggested as a risk factor for weight gain. However, it is implausible that a construct that does not cover energy intake or expenditure affects fat mass directly. Instead, it is likely that eating-related variables mediate the effect of impulsivity on body mass. In the current study, a serial mediation model tested two eating-related variables (trait food craving and perceived self-regulatory success in weight regulation) as mediators of the relationship between trait impulsivity and body mass. Participants (n=432, 88% female, 79% students) completed the Barratt Impulsiveness Scale – short form, the Food Cravings Questionnaire-Trait-reduced, and the Perceived Self-Regulatory Success in Dieting Scale (PSRS), in addition to providing sociodemographic and anthropometric data. Trait impulsivity did not correlate with body mass index (BMI), but was indirectly related to BMI via food cravings and PSRS scores. Specifically, higher impulsivity predicted more frequent food cravings, which in turn predicted lower perceived self-regulatory success in eating and weight regulation, which in turn predicted higher BMI. Findings suggest possible mechanisms that mediate the association between impulsivity and BMI. Importantly, they show that impulsivity can indirectly affect BMI via eating-related variables, even in the absence of a total effect. Longitudinal studies are needed that support these assumed causal directions.

Food cravings prospectively predict decreases in perceived self-regulatory success in dieting

Food cravings are assumed to hamper dieting success, but most findings are based on cross-sectional studies. In the current study, female students were tested at the beginning of their first semester at university and six months later. They completed the Food Cravings Questionnaire-Trait-reduced (FCQ-T-r), the disinhibition subscale of the Eating Inventory, and the Perceived Self-Regulatory Success in Dieting Scale, and their height and weight were measured. Scores on the FCQ-T-r prospectively predicted higher disinhibition and lower perceived self-regulatory success in dieting after six months. Although FCQ-T-r scores did not predict increases in body mass index (BMI) directly, a serial mediation model revealed an indirect effect of FCQ-T-r scores at baseline on BMI after six months via increased disinhibition scores and decreased perceived self-regulatory success in dieting. To conclude, the current results provide evidence for a prospective relationship between trait food craving and decreases in dieting success. Furthermore, they suggest a possible mediator of this association (i.e., increases in disinhibited eating) as well as an indirect effect on body weight. Measurement of trait food craving may be a useful tool for predicting or monitoring treatment changes and relapse in eating- and weight disorders.

German version of the Yale Food Addiction Scale 2.0: Prevalence and correlates of ‘food addiction’ in students and obese individuals

The Yale Food Addiction Scale (YFAS) measures addiction-like eating of palatable foods based on the seven diagnostic criteria for substance dependence in the fourth revision of the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV). Most recently, a new version of the YFAS has been developed based on the revised eleven diagnostic criteria for substance use disorder in DSM-5. This YFAS 2.0 was translated into German and used among other measures in a study with 455 university students (89% female) and in a study with 138 obese patients presenting for bariatric surgery (78% female). In the student sample, the one-factorial structure of the English version could be replicated and internal consistency was α = 0.90. The diagnostic threshold for ‘food addiction’ was met by 10% of the sample. ‘Food addiction’ diagnoses were associated with higher body mass, binge eating frequency, trait food craving, and attentional impulsivity as well as with lower perceived self-regulatory success in dieting. In the obese sample, the diagnostic threshold for ‘food addiction’ was met by 47% of participants. Again, ‘food addiction’ symptomatology was associated with higher binge eating frequency and attentional impulsivity. However, those with a ‘food addiction’ diagnosis did not differ from those without a diagnosis in body mass. To conclude, psychometric properties of the English YFAS 2.0 were replicated for the German YFAS 2.0. Prevalence rates and correlates of ‘food addiction’ as measured with the YFAS 2.0 were similar to those found with the previous version of the YFAS. Thus, the German YFAS 2.0 appears to be a reliable measure that can be used for the investigation of addiction-like eating behavior, analogous to the original version of the YFAS and the English YFAS 2.0.

Crave, Like, Eat: Determinants of Food Intake in a Sample of Children and Adolescents with a Wide Range in Body Mass.

Obesity is a heterogeneous condition with obese individuals displaying different eating patterns. Growing evidence suggests that there is a subgroup of obese adults that is marked by frequent and intense food cravings and addiction-like consumption of high-calorie foods. Little is known, however, about such a subgroup of obese individuals in childhood and adolescence. In the present study, a sample of children and adolescents with a wide range in body mass was investigated and trait food craving, liking for and intake of high- and low-calorie foods was measured. One-hundred and forty-two children and adolescents (51.4% female, n = 73; Mage = 13.7 years, SD = 2.25; MBMI-SDS = 1.26, SD = 1.50) completed the Food Cravings Questionnaire-Trait, then viewed pictures of high- and low-calorie foods and rated their liking for them, and subsequently consumed some of these foods in a bogus taste test. Contrary to expectations, higher body mass was associated with lower consumption of high-calorie foods. However, there was an interaction between body mass and trait food craving when predicting food consumption: in obese participants, higher trait food craving was associated with higher consumption of high-calorie foods and this association was not found in normal-weight participants. The relationship between trait food craving and high-calorie food consumption within obese individuals was mediated by higher liking for high-calorie foods (but not by liking for low-calorie foods). Thus, similar to adults, a subgroup of obese children and adolescents – characterized by high trait food craving – seems to exist, calling for specific targeted treatment strategies.

Neural signature of food reward processing in bulimic-type eating disorders.

Clinical observations and similarities to addiction suggest heightened reward sensitivity to food in patients with bulimic-type eating (BTE) disorders. Therefore, we investigated the expectation and receipt of food reward compared with monetary reward in patients with BTE. Fifty-six patients with BTE (27 patients with binge eating disorder and 29 with bulimia nervosa) and 55 matched healthy control participants underwent event-related functional magnetic resonance imaging while performing both food and monetary incentive delay tasks. BTE patients exhibited reduced brain activation in the posterior cingulate cortex during the expectation of food and increased activity in the medial orbitofrontal cortex, anterior medial prefrontal cortex and posterior cingulate cortex during the receipt of food reward. These findings were relevant to food because we found no significant group differences related to monetary reward. In the patients, higher brain activity in the medial orbitofrontal cortex during the receipt of food reward was related to higher levels of trait food craving and external eating. BTE patients exhibited increased hedonic processing during the receipt of food reward. These findings corroborate the notion that an altered responsiveness of the reward network to food stimuli is associated with BTE.