Adult attention-deficit/hyperactivity disorder among alcohol use disorder inpatients is associated with food addiction and binge eating, but not BMI

INTRODUCTION

Attention-deficit/hyperactivity disorder (ADHD) is associated with binge eating (BE), food addiction (FA), and obesity/higher BMI in individuals without alcohol use disorder (AUD). ADHD is highly prevalent in patients with AUD, but it is unknown whether the presence of comorbid AUD might change the nature of the association between ADHD, BE, FA and BMI (food and alcohol may either compete for the same brain neurocircuitry or share vulnerability risk factors). Here, we filled this gap by testing the association between ADHD and FA/BE in adult patients hospitalized for AUD, with the strength of simultaneously assessing childhood and adult ADHD. We also investigated the association between ADHD and BMI, and the other factors associated with BMI (FA/BE, AUD severity).

METHODS

We included 149 AUD inpatients between November 2018 and April 2019. We assessed both childhood and adulthood ADHD (Wender Utah Render Scale and Adult ADHD Self-Report Scale), FA (modified Yale Food Addiction Scale 2.0), BE (Binge Eating Scale), and BMI and AUD (clinical assessment).

RESULTS

In multivariable analyses adjusted for age, adult ADHD was associated with higher BE scores (p = .048), but not significant BE (9% vs. 7%; p = .70). ADHD was also associated with FA diagnosis and the number or FA symptoms, with larger effect size for adult (ORs: 9.45[95%CI: 2.82-31.74] and 1.38[1.13-1.69], respectively) than childhood ADHD (ORs: 4.45[1.37-14.46] and 1.40[1.13-1.75], respectively). In multivariable analysis, BMI was associated with both significant BE (p < .001) and FA diagnosis (p = .014), but not adult ADHD nor AUD severity.

CONCLUSION

In patients hospitalized for AUD, self-reported adult ADHD was associated with FA and BE, but not BMI. Our results set the groundwork for longitudinal research on the link between ADHD, FA, BE, and BMI in AUD inpatients.

Food addiction among morbidly obese patients: prevalence and links with obesity complications

BACKGROUND

In the context of obesity, little is known about the prevalence of food addiction nor about the phenotype of obese patients with food addiction. Objectives: To assess: (i) the prevalence of food addiction among obese patients eligible for obesity surgery; (ii) the relationship between clinical features and the complications of obesity. Methods: Consecutive patients consulting for the first time were included. The Yale Food Addiction Scale (YFAS) 2.0 questionnaire was used to diagnose food addiction and its severity. Demographics, clinical features, and obesity complications were systematically collected. Statistics: Student's test was used for numerical variables and Chi-square test or Fisher's exact test for categorical variables. Results: A total of 292 patients were included: 79% female, age (mean ± SD) 42.6 ± 13.0 yrs., body mass index (BMI) 43.2 ± 6.8 kg/m². One hundred and eight patients (37%) had food addiction: 58% severe, 33% moderate, 9% mild. Food addiction prevalence was 39% (n = 61/156) among patients eligible for obesity surgery. Food addiction was more frequent among the unemployed, compared to professionally active patients (41.0% vs. 33.5%, p = 0.046). Clinical and metabolic phenotypes and obesity complications were similar between patients with and without food addiction. Conclusion: Food addiction was present in 37% of obese patients, but was not associated with clinical features or obesity complications. Therefore, it should be systemically assessed for appropriate management.

Treatment of the sensory and motor components of urges to eat (eating addiction?): a mobile-health pilot study for obesity in young people

PURPOSE

Compelling evidence indicates that an addictive process might contribute to overeating/obesity. We hypothesize that this process consists of two components: (a) a sensory addiction to the taste, texture, and temperature of food, and (b) a motor addiction to the actions of eating (e.g., biting, chewing, crunching, sucking, swallowing). Previously, we reported a mobile health application (mHealth app) obesity intervention addressing the sensory addiction component, based on staged food withdrawal. We propose that the motor addiction component can be treated using cognitive behavioral therapy (CBT)-based strategies for body-focused repetitive behaviors (BRFB), e.g., nail biting, skin picking, and hair pulling.

METHODS

The present study tested the effectiveness of CBT-based, BFRB therapies added to the staged withdrawal app. Thirty-five participants, ages 8-20, 51.4% females, mean zBMI 2.17, participated in a 4-month study using the app, followed by a 5-month extension without the app. Using staged withdrawal, participants withdrew from specific, self-identified, "problem" foods until cravings resolved; then from non-specific snacking; and lastly from excessive mealtime amounts. BFRB therapies utilized concurrently included: distractions, competing behaviors, triggers avoidance, relaxation methods, aversion techniques, and distress tolerance.

RESULTS

Latent growth curve analysis determined that mean body weight and zBMI decreased significantly more than in a previous study that used only staged withdrawal (p < 0.01). In the 5-month follow-up, participants maintained overall weight loss.

CONCLUSIONS

This study provides further preliminary evidence for the acceptability of an addiction model treatment of obesity in youth, and that the addition of CBT-based, BFRB therapies increased the effectiveness of staged food withdrawal.

LEVEL OF EVIDENCE

Level IV, Evidence obtained from multiple time series analysis with the intervention.

Food addiction, eating addiction and eating disorders

The concept of food addiction is currently a highly debated subject within both the general public and the scientific communities. The term food addiction suggests that individuals may experience addictive-like responses to food, similar to those seen with classic substances of abuse. An increasing number of studies have established the prevalence and correlates of food addiction. Moreover, food addiction may be associated with obesity and disordered eating. Thus, intervening on food addiction may be helpful in the prevention and therapy of obesity and eating disorders. However, controversy exists about if this phenomenon is best defined through paradigms reflective of Diagnostic and Statistical Manual of Mental Disorders (DSM-5) substance-related disorders (e.g. food addiction) or non-substance-related disorders (e.g. eating addiction) criteria. This review paper will give a brief summarisation of the current state of research on food addiction, a more precise definition of its classification, its differentiation from eating addiction and an overview on potential overlaps with eating disorders. Based on this review, there is evidence that food addiction may represent a distinct phenomenon from established eating disorders such as bulimia nervosa or binge-eating disorder. Future studies are needed to further examine and establish orthogonal diagnostic criteria specific to food addiction. Such criteria must differentiate the patterns of eating and symptoms that may be similar to those of eating disorders to further characterise food addiction and develop therapy options. To date, it is too premature to draw conclusions about the clinical significance of the concept of food addiction.

An addiction-based mobile health weight loss intervention: protocol of a randomized controlled trial

BACKGROUND

The notion of obesity as an addictive process is controversial. However, studies show that between 5.9 and 30.7% of adolescents with obesity report food or eating addiction. Few weight management interventions have tested techniques based on addiction medicine principles.

METHODS

This multi-center randomized control trial (RCT) is designed to test the effectiveness of a mobile health (mHealth) weight-loss intervention based on addiction principles, such as withdrawal and tolerance, in a sample of 180 adolescents (ages 14-18) recruited from four pediatric weight management clinics in Southern California. Akin to a Multiphase Optimization Strategy (MOST) design evaluating multicomponent behavioral interventions, we will compare the combination of an app + phone coaching (App+Coach) to app alone (App) and in-clinic multi-disciplinary (Clinic) intervention arms. The primary outcome is mean change in zBMI and %BMIp95 over 18 months. We hypothesize that youth who receive App+Coach will have a greater reduction in body weight over the 18-month study period at a lower cost than standard of care models. Secondary outcomes include adherence to treatment regimen, intervention satisfaction, effect of the intervention on metabolic factors and activity level. We will also explore potential moderators of intervention effectiveness such as addictive eating habits, self-regulation and executive functioning.

CONCLUSIONS

New and creative approaches are needed to address pediatric obesity. If successful, this RCT may provide an innovative and cost-effective mHealth approach, based on addiction methods, for weight loss among adolescents with overweight and obesity.

An addiction model-based mobile health weight loss intervention in adolescents with obesity

BACKGROUND

Clinical approaches to treating childhood obesity can be expensive and poorly reimbursed, and often produce suboptimal results. It has been theorized that overeating may have addictive qualities, and a sizable number of adolescents with obesity endorse addictive habits. Interestingly, few weight management interventions have tested techniques founded in addiction medicine principles. We therefore performed a pilot study of an addiction model based mHealth weight loss intervention in adolescents.

METHODS

Adolescents with obesity were recruited from an multidisciplinary weight management clinic (EMPOWER). Adolescents without significant obesity comorbidities, who exhibited signs of addictive eating, based on the Yale Food Addiction Scale, were enrolled in a pilot study of an interactive, addiction-based, weight loss smartphone app with coaching (http://clinicaltrials.gov: NCT02689154). The app was designed to help subjects omit problem foods, avoid snacking and reduce meal size. A contemporary cohort of adolescents who completed the EMPOWER program were evaluated. Feasibility of recruitment, adherence, retention rates, BMI change and cost of intervention were examined.

RESULTS

Eighteen participants were recruited to app intervention. App participants had higher retention (100% vs. 37%) and lower total cost per patient ($855.15 vs. $1428.00) than the EMPOWER clinic participants. App participants exhibited a significant decrease in zBMI and %BMIp95 over the 6 months (p < 0.001 and p = 0.001), which was comparable to the age-matched EMPOWER program completers (p = 0.31 and p = 0.06).

CONCLUSIONS

An addiction medicine-based mHealth intervention targeted for adolescents was feasible to implement, resulted in high retention and adherence rates, and reduced zBMI and %BMIp95 in a more cost-effective manner than an in-clinic intervention.

Food addiction, in obese patients seeking bariatric surgery, is associated with higher prevalence of current mood and anxiety disorders and past mood disorders

The current cross-sectional study investigates the prevalence of the food addiction (FA) phenotype and its association with psychiatric disorders in bariatric surgery candidates. It also investigates the eating behavior characteristics associated with FA and the association between FA and loss of control over specific foods high in sugar, salt and/or fat. We included 128 bariatric surgery candidates and we assessed FA (YFAS 2.0), mood and anxiety disorders, suicidality, eating disorders (current bulimia nervosa and current anorexia nervosa), alcohol and tobacco use disorders (MINI 5.0.0, beck depression inventory, AUDIT, Fagerström Test for Nicotine Dependence) and eating behavior (DEBQ). Prevalence of FA in our sample was 25%. FA was significantly associated with higher prevalence of current mood and anxiety disorders and past mood disorders, higher current suicidality but not with eating disorders and alcohol use disorder. FA was significantly associated with higher emotional eating, and with loss of control over consumption of foods high in fat, sugar and/or salt, but not of fruits, vegetables or grain products. Our results provide arguments for considering psychiatric disorders and suicidality in FA and for considering FA as an addictive disorder in obese patients, with many risk factors in common with other addictions.

What is in a name? Is food addiction a misnomer?

Recently interest in the phenomenon of food addiction has increased substantially since the inclusion of gambling disorder in the DSM-5. However the phenomenon of food addiction remains controversial and the designation continues to lack clear consideration. Few researchers have offered an explicit theoretical definition of the phenomenon which is fundamental; as it not only pertains to the aetiology it also directs research and management of the phenomenon. Therefore this review explores 'what is in a name'? Specifically possible aetiologies of food addiction, eating addiction and food addiction as an eating disorder are reviewed and the potential DSM-5 classification espoused. It is evident that the phenomenon requires further research and evaluation in order to delineate whether the phenomenon constitutes a disorder and if the phenomenon is found to be a valid entity the most appropriate designation. As it is too early to draw definitive conclusions regarding the concept all plausible designations and the associated aetiologies require further investigation.

Psychological and Neurobiological Correlates of Food Addiction

Food addiction (FA) is loosely defined as hedonic eating behavior involving the consumption of highly palatable foods (ie, foods high in salt, fat, and sugar) in quantities beyond homeostatic energy requirements. FA shares some common symptomology with other pathological eating disorders, such as binge eating. Current theories suggest that FA shares both behavioral similarities and overlapping neural correlates to other substance addictions. Although preliminary, neuroimaging studies in response to food cues and the consumption of highly palatable food in individuals with FA compared to healthy controls have shown differing activation patterns and connectivity in brain reward circuits including regions such as the striatum, amygdala, orbitofrontal cortex, insula, and nucleus accumbens. Additional effects have been noted in the hypothalamus, a brain area responsible for regulating eating behaviors and peripheral satiety networks. FA is highly impacted by impulsivity and mood. Chronic stress can negatively affect hypothalamic-pituitary-adrenal axis functioning, thus influencing eating behavior and increasing desirability of highly palatable foods. Future work will require clearly defining FA as a distinct diagnosis from other eating disorders.