The transdiagnostic role of food craving: An application of substance use models

Food approach and avoidance craving: A partial test of the Ambivalence Model of Craving

Accumulating evidence from both cross-sectional and cue-reactivity studies supports the application of the Ambivalence Model of Craving (AMC) from the substance use literature to food craving. The focus of this extant work has been on the association between the two dimensions of food craving (approach and avoidance) and disordered eating behaviors. The present study extended existing validity data by investigating approach and avoidance food craving profiles and their associations with 1) disordered eating behaviors and 2) thinness/restriction and eating expectancies - a risk factor for disordered eating that is explicitly described by the AMC. It was anticipated that food craving profiles would parallel those defined by the AMC (i.e., approach oriented, avoidance oriented, ambivalent, indifferent) and that profiles defined by high avoidance food craving would be higher in compensatory behaviors, restricting behaviors, and thinness/restriction expectancies, while those defined by high approach food craving would be higher in binge eating and eating expectancies. A sample of 407 undergraduate students (54% female, 47% non-Hispanic White; Mage = 21 years) reported demographics, food craving disordered eating behaviors, and thinness/restriction and eating expectancies via an anonymous online survey. Latent profile analysis was used to test hypotheses. Hypotheses were partially supported. Four profiles were identified, but similar levels of approach and avoidance food craving were observed in each profile, with the intensity of the cravings increasing across the four profiles. Endorsement of disordered eating behaviors and expectancies also increased in intensity across the profiles. Findings suggest an additive, rather than interactive, effect of food craving.

Hypocretin-1 receptor antagonism improves inhibitory control during the Go/No-Go task in highly motivated, impulsive male mice

RATIONALE

Motivation and inhibitory control are dominantly regulated by the dopaminergic (DA) and noradrenergic (NA) systems, respectively. Hypothalamic hypocretin (orexin) neurons provide afferent inputs to DA and NA nuclei and hypocretin-1 receptors (HcrtR1) are implicated in reward and addiction. However, the role of the HcrtR1 in inhibitory control is not well understood.

OBJECTIVES

To determine the effects of HcrtR1 antagonism and motivational state in inhibitory control using the go/no-go task in mice.

METHODS

n = 23 male C57Bl/6JArc mice were trained in a go/no-go task. Decision tree dendrogram analysis of training data identified more and less impulsive clusters of animals. A HcrtR1 antagonist (BI001, 12.5 mg/kg, per os) or vehicle were then administered 30 min before go/no-go testing, once daily for 5 days, under high (food-restricted) and low (free-feeding) motivational states in a latin-square crossover design. Compound exposure levels were assessed in a satellite group of animals.

RESULTS

HcrtR1 antagonism increased go accuracy and decreased no-go accuracy in free-feeding animals overall, whereas it decreased go accuracy and increased no-go accuracy only in more impulsive, food restricted mice. HcrtR1 antagonism also showed differential effects in premature responding, which was increased in response to the antagonist in free-feeding, less impulsive animals, and decreased in food restricted, more impulsive animals. HcrtR1 receptor occupancy by BI001 was estimated at ~ 66% during the task.

CONCLUSIONS

These data indicate that hypocretin signalling plays roles in goal-directed behaviour and inhibitory control in a motivational state-dependant manner. While likely not useful in all settings, HcrtR1 antagonism may be beneficial in improving inhibitory control in impulsive subpopulations.

Time-of-day and day-of-week patterns of binge eating and relevant psychological vulnerabilities in binge-eating disorder

OBJECTIVE

The present study sought to characterize the temporal patterns of binge eating and theorized maintenance factors among individuals with binge-eating disorder (BED).

METHOD

Ecological momentary assessment of 112 individuals and mixed-effects models were used to characterize the within- and between-day temporal patterns of eating behaviors (binge eating, loss of control only eating, and overeating only), positive and negative affect, emotion regulation difficulty, and food craving.

RESULTS

Risk for binge eating and overeating only was highest around 5:30 p.m., with additional binge-eating peaks around 12:30 and 11:00 p.m. In contrast, loss of control eating without overeating was more likely to occur before 2:00 p.m. Risk for binge eating, loss of control only eating, and overeating only did not vary across days in the week. There was no consistent pattern of change in negative affect throughout the day, but it decreased slightly on the weekend. Positive affect showed a decrease in the evenings and a smaller decrease on the weekend. The within-day patterns of food craving, and to some extent emotion regulation difficulty, resembled the pattern of binge eating, with peaks around meal times and at the end of the night.

DISCUSSION

Individuals with BED appear most susceptible to binge-eating around dinner time, with heightened risk also observed around lunch time and late evening, though the effects were generally small. These patterns appear to most strongly mimic fluctuations in craving and emotion dysregulation, although future research is needed to test the temporal relationships between these experiences directly.

PUBLIC SIGNIFICANCE

It is unknown which times of the day and days of the week individuals with binge-eating disorder are most at risk for binge eating. By assessing binge-eating behaviors in the natural environment across the week, we found that individuals are most likely to binge in the evening, which corresponds to the times when they experience the strongest food craving and difficulty with regulating emotions.

The association between anxiety sensitivity and food cravings among individuals seeking treatment for weight-related behaviors

BACKGROUND

A better understanding of risk-factors associated with state-like food cravings may be one clinically relevant component in an effort to better understand obesity. Existing work has shown anxiety sensitivity (AS) to be a significant risk factor for increased cravings across a variety of health behaviors (e.g., smoking, alcohol use). Yet, no work has examined the relationship between AS and state-like food cravings. Therefore, the current study sought to examine the association between AS and a variety of state-like food cravings, including: (1) an intense desire to eat, (2) anticipation of relief from negative states and feelings/improvement in mood that may result from eating, (3) obsessive preoccupation with food or lack of control over eating, and (4) craving as a physiological state.

METHODS

Participants included 161 (Mage = 31.58, SD = 10.71; 60.9 % female) individuals seeking treatment for weight-related behaviors.

RESULTS

Results indicated that elevated AS was associated with reinforcement-based and physiological food cravings.

CONCLUSION

Our findings indicate that there may be clinical utility in screening for AS among individuals seeking treatment for weight-related behaviors in efforts to better understand specific types of food craving.

Clinical Considerations of Ultra-processed Food Addiction Across Weight Classes: an Eating Disorder Treatment and Care Perspective

Purpose of Review

To examine the prevalence rates of ultra-processed food addiction across different weight classes and offer guidelines for diagnosis and treatment. Clinicians are provided with practical considerations in the assessment of ultra-processed food addiction beyond the use of validated instruments.

Recent Findings

The weighted mean prevalence of ultra-processed food addiction is approximately 20% worldwide and varies widely based on the sample. At first glance, there appears a linear relationship between ultra-processed food addiction and BMI class. Further investigation indicates a J-shaped curve with heightened prevalence among the underweight. These findings highlight the need to assess for additional factors that may increase objective or subjective food addiction symptoms including eating disorders, dietary restraint, and other mental health diagnoses.

Summary

While clinical considerations across different weight classes vary, overemphasis on weight status may detract from the clinical utility of the ultra-processed food addiction construct. Considering weight status in conjunction with other psychiatric symptoms helps to better understand the various biopsychosocial mechanisms that influence eating behavior and can inform individualized treatment strategies.