Food Addiction: A Comprehensive Review

Binge eating behaviours are associated with recurrent weight gain after metabolic and bariatric surgery

BACKGROUND

Recurrent weight gain (RWG) is a major post-operative challenge among metabolic and bariatric surgery (MBS) patients. Binge eating behaviours (BEB) and food addiction (FA) have been identified as significant predictors of post-MBS RWG. However, limited research has investigated their independent associations with post-MBS RWG.

METHODS

This cross-sectional study collected data via a self-reported questionnaire of post-MBS patient demographics and eating behaviours from a single-site academic obesity medicine program. The Binge Eating Scale and Yale Food Addiction Scale 2.0 collected data on BEB and FA exposure variables, respectively. ANOVA/chi-square tests determined bivariate associations with BEB and FA, while multivariable logistic regression models examined independent adjusted associations of BEB and FA with RWG% cut-offs.

RESULTS

Of the 294 MBS patients (90.48% female, and 51.71% non-Hispanic white), 42.3% had BEB, 12.55% had severe FA, 7.36% moderate FA, and 7.36% mild FA. After adjustment, BEB was significantly associated with all magnitudes of post-MBS RWG, with the highest odds observed at 50% RWG [OR = 3.07; 95% CI: 1.45, 6.49; p = 0.003]. FA was not significantly associated with post-MBS RWG.

CONCLUSION

Results showed that BEB, but not FA, was associated with post-MBS RWG. MBS patient support teams should consider screening for BEB at post-MBS visits.

Exploring Food Addiction Across Several Behavioral Addictions: Analysis of Clinical Relevance

BACKGROUND/OBJECTIVES

Recently, interest in studying food addiction (FA) in the context of behavioral addictions (BAs) has increased. However, research remains limited to determine the FA prevalence among various BAs. The current study aimed to investigate FA in a clinical sample of patients seeking treatment for gaming disorder, compulsive buying-shopping disorder (CBSD), compulsive sexual behavior disorder, and the comorbid presence of multiple BAs, as well as to determine the sociodemographic characteristics, personality traits, and general psychopathology of this clinical population. In addition, we analyzed whether FA is linked to a higher mean body mass index (BMI).

METHODS

The sample included 209 patients (135 men and 74 women) attending a specialized behavioral addiction unit. The assessment included a semi-structured clinical interview for the diagnosis of the abovementioned BAs, in addition to self-reported psychometric assessments for FA (using the Yale Food Addiction Scale 2. 0, YFAS-2), CBSD (using the Pathological Buying Screener, PBS), general psychopathology (using the Symptom Checklist-Revised, SCL-90-R), personality traits (using the Temperament and Character Inventory-Revised, TCI-R), emotional regulation (using Difficulties in Emotion Regulation Strategies, DERS), and impulsivity (using Impulsive Behavior Scale, UPPS-P). The comparison between the groups for the clinical profile was performed using logistic regression (categorical variables) and analysis of covariance (ANCOVA), adjusted based on the patients' gender. The sociodemographic profile was based on chi-square tests for categorical variables and analysis of variance (ANOVA) for quantitative measures.

RESULTS

The prevalence of FA in the total sample was 22.49%. The highest prevalence of FA was observed in CBSD (31.3%), followed by gaming disorder (24.7%), and the comorbid presence of multiple BAs (14.3%). No group differences (FA+/-) were found in relation to sociodemographic variables, but the comorbidity between FA and any BA was associated more with females as well as having greater general psychopathology, greater emotional dysregulation, higher levels of impulsivity, and a higher mean BMI.

CONCLUSIONS

The comorbidity between FA and BA is high compared to previous studies (22.49%), and it is also associated with greater severity and dysfunctionality. Emotional distress levels were high, which suggests that the group with this comorbidity may be employing FA behaviors to cope with psychological distress. However, a better understanding of the latent mechanisms that contribute to the progression of this multifaceted comorbid clinical disorder is needed. One aspect that future studies could consider is to explore the existence of FA symptoms early and routinely in patients with BAs.

The Role of Artificial Intelligence in Obesity Risk Prediction and Management: Approaches, Insights, and Recommendations

Greater than 650 million individuals worldwide are categorized as obese, which is associated with significant health, economic, and social challenges. Given its overlap with leading comorbidities such as heart disease, innovative solutions are necessary to improve risk prediction and management strategies. In recent years, artificial intelligence (AI) and machine learning (ML) have emerged as powerful tools in healthcare, offering novel approaches to chronic disease prevention. This narrative review explores the role of AI/ML in obesity risk prediction and management, with a special focus on childhood obesity. We begin by examining the multifactorial nature of obesity, including genetic, behavioral, and environmental factors, and the limitations of traditional approaches to predict and treat morbidity associated obesity. Next, we analyze AI/ML techniques commonly used to predict obesity risk, particularly in minimizing childhood obesity risk. We shift to the application of AI/ML in obesity management, comparing perspectives from healthcare providers versus patients. From the provider's perspective, AI/ML tools offer real-time data from electronic medical records, wearables, and health apps to stratify patient risk, customize treatment plans, and enhance clinical decision making. From the patient's perspective, AI/ML-driven interventions offer personalized coaching and improve long-term engagement in health management. Finally, we address key limitations and challenges, such as the role of social determinants of health, in embracing the role of AI/ML in obesity management, while offering our recommendations based on our literature review.

The bioSocial Cognitive Theory of eating (bSCT-e): Applying and elaborating on a biopsychosocial substance use theory for food addiction

Obesity rates are increasing globally, and food addiction (FA1) may be an important contributing factor but there is a lack of understanding of the key psychological mechanisms that contribute to FA. The bioSocial Cognitive Theory (bSCT) proposes that substance use is predicted by biologically based personality traits and their influence on social cognitive mechanisms. While validated in substance use, bSCT has not been applied to a behavioural or non-substance addiction. However, the bSCT does not include a negative affective personality component, of which there is clear theoretical and empirical support as risk factors for FA. Thus, this study sought to test both the original bSCT model and an elaborated version related to eating (bSCT-e) that included direct and indirect punishment sensitivity pathways to identify the individual risk factors of FA. Data were collected from 204 university students (75.5% female; Mage = 24.82, SD = 9.17) via an online survey. Both original bSCT and bSCT-e models provided a good fit to the data, with the latter providing slightly better fit and accounting for more variance in FA. The findings suggest that individuals who are more reward driven and punishment sensitive hold exaggerated beliefs about the reinforcing and emotion regulation effects of eating, which may undermine eating control and increase risk of FA. This study provides potential new insights into the complex biopsychosocial mechanisms of FA, and points to potential intervention targets.

The Greater the Number of Altered Eating Behaviors in Obesity, the More Severe the Psychopathology

Background: Altered eating behaviors (AEBs) are not only associated with eating disorders but also play a role in obesity. This study assessed AEBs in individuals with obesity and their association with general and eating psychopathology, using the "Eating Behaviors Assessment for Obesity" (EBA-O). The hypothesis posited that a higher frequency of pathological eating behaviors would correlate with more severe psychopathology. Methods: Participants seeking weight loss treatment answered the EBA-O and other measures of eating and general psychopathology. The analysis employed MANOVA to estimate psychopathological variance based on AEBs and a cluster analysis to identify patient clusters by AEB type and number. Results: Out of the 244 participants, approximately two-thirds reported clinically relevant AEBs, with almost half exhibiting more than two AEBs. Predominant AEBs included sweet eating, binge eating, and hyperphagia. A significant impact of the numbers of AEBs on both eating and general psychopathology severity (p < 0.001; η2 = 0.167) was evident. Three clusters emerged, with Cluster 3 showing the highest AEB frequency and greater psychopathological impairment. Conclusions: The present findings confirm the correlation between the frequency of AEBs and the severity of general and eating psychopathology in individuals with obesity. AEBs deserve clinical attention, and their screening might aid their clinical characterization and foster more tailored treatments.

Associations Between Intertemporal Food Choice and BMI in Adult Women: An fMRI Study Using a Quasi-realistic Design

BACKGROUND

Impulsivity resulting in unrestrained eating has been implicated as a contributing factor for obesity. Delay discounting (DD) tasks where individuals choose between a smaller immediate reward and a larger delayed reward provide useful data to describe impulsive decision-making and to determine the extent to which delayed rewards are discounted.

OBJECTIVE

To study the association between body mass index(BMI) and delay discounting for food and money in adult women.

METHODS

We used a DD task with real food rewards to investigate impulsive decision-making as related to BMI in participants who self-identified as women. Participants in group A had a mean BMI of 21.4 (n = 14), and participants in group B had a mean BMI of 32.2 (n = 14). Each group was tested in a hungry state during a single session. We performed fMRI during a DD task requiring participants to choose between a food item (one sandwich) constituting a smaller immediate reward and multiple food items (two, three, or four sandwiches) constituting a series of larger delayed rewards available at different intervals. The steepness of the discounting curve for food was determined from these decisions. Participants then completed a monetary discounting task to facilitate a comparison of the discounting of food and monetary rewards.

RESULTS

Participants in group B discounted food rewards more steeply than monetary rewards. Decisions for delayed rewards led to increased activations of brain areas related to executive control on fMRI, such as the head of the caudate nucleus and the anterior cingulate cortex (ACC) in group A, but not group B participants.

CONCLUSION

Our findings suggest that group B had difficulty deciding against the immediate food rewards due to insufficient recruitment of cortical control areas. Therefore, impulsivity is an important target for behavioral interventions in individuals with obesity.

Short-term effects of semaglutide among patients with obesity with and without food addiction: an observational study

INTRODUCTION

Food addiction (FA) is highly prevalent among people with obesity (PwO) and may constitute a key factor in weight loss failure or weight regain. GLP-1 analogues have been shown to act on the mesolimbic system, which is related to hedonic overeating and substance abuse. We aimed to study the effects of low doses of semaglutide on FA symptomatology and to evaluate whether the presence of FA have a negative impact on weight loss despite treatment with semaglutide.

METHODS

One hundred and thirteen PwO (45.5 ± 10.2 years) were evaluated anthropometrically baseline and after four months of treatment with semaglutide. PwO were evaluated for the presence of FA by completing The Spanish version of the Yale Food Addiction Scale 2.0 questionnaire (YFAS 2.0).

RESULTS

Baseline BMI and fat mass (%) were greater among PwO with FA (35.8 ± 4.5 vs 33 ± 3.9 kg/m2and 44.2 ± 6.5 vs 40.1 ± 7.9%; p = .01). After four months of treatment with semaglutide, the prevalence of FA diminished from 57.5% to 4.2% (p < .001). The percentage of weight loss (6.9 ± 12.7 vs 5.3 ± 4.6%; p = .4) and the proportion of fat mass loss (2 ± 9 vs 1.6 ± 3.1%; p = .7) were comparable between PwO with and without FA. No differences regarding side effects and treatment discontinuations were seen between the two groups.

CONCLUSION

Semaglutide is an effective tool for the amelioration of FA symptomatology among PwO. Despite PwO with FA had greater basal BMI and fat mass, semaglutide showed similar results compared to PwO without FA in terms of weight and fat mass loss at short term.

Co-occurrence of habit-forming risk behaviors and their socio-demographic, health status and lifestyle determinants: a population-based cross-sectional study

BACKGROUND

Although habit-forming risk behaviors frequently co-occur, determinants of concurrent risk behaviors have rarely been investigated. The aim of the present study was to investigate socio-demographic, health status, and lifestyle determinants of single versus concurrent risk behaviors in general-population adults.

METHODS

We analyzed data from 32,622 participants (74.5% female; mean age = 57.9 ± 14.2 years) of the NutriNet-Santé cohort who completed the Alcohol Use Disorders Identification Test, the 12-item Cigarette Dependence Scale, the modified Yale Food Addiction Scale 2.0, and the Internet Addiction Test in 2021-2022. Using established cutoffs, participants were first split into 2 groups (presence versus absence) for each risk variable (alcohol use disorders, nicotine dependence, food addiction, Internet addiction) and were then divided into 3 groups (no risk behavior, 1 risk behavior (reference), and ≥ 2 risk behaviors). The association between socio-demographic, health status, and lifestyle exposures and individual/concurrent risk behaviors were investigated with polytomous logistic regression.

RESULTS

Younger age (Odds Ratio (OR) = 2.04; 95% Confidence Interval (CI: 1.62-2.56), current financial difficulties (OR = 1.29; CI: 1.08-1.54), self-perceived poor health (OR = 1.70; CI: 1.32-2.20), overall poor dietary quality (OR = 2.88; CI: 2.06-4.02), being underweight (OR = 1.46; CI: 1.05-2.04), having obesity (OR = 1.62; CI: 1.31-1.99), lack of affection during childhood (OR = 1.41; CI: 1.18-1.69), and a lifetime prevalence or medication use for a mental disorder (OR = 1.46; CI: 1.24-1.73) were positively associated with having ≥ 2 versus 1 risk behavior (all p < 0.05). The comparison of none versus 1 risk behavior revealed the same determinants in addition to having a higher education, being physically active at work, and being overweight.

CONCLUSIONS

We investigated determinants of concurrent habit-forming risk behaviors among adults in a large, population-based study. The findings could serve as impetus for future research in this domain and ultimately help guide addiction prevention efforts.

The relationship of food addiction with binge eating disorder and obesity: A network analysis study

Food addiction (FA) has been associated with binge eating disorder (BED) and obesity at varying levels of severity and treatment outcomes. Despite much debate and scientific interest in FA, the mechanisms that underlie its co-occurrence with both conditions are not yet well understood. In order to understand this relationship, this study explores FA in a clinical sample of individuals with BED and obesity using network analysis (NA). A total of 303 patients (151 with BED and 152 with obesity) completed a battery of tests that investigated eating psychopathology, eating behaviours, emotional dysregulation, depression and FA. Two different NAs were conducted to investigate the interaction between these variables and FA. The BED and obesity groups were comparable in age (38 ± 14 vs. 42 ± 13 years), body mass index (38.8 ± 8.5 vs 42.4 ± 7.8), sex and demographics. According to the expected influence values, binge eating severity and depression were identified as the central nodes in both networks. In the BED group, binge eating severity was the central node and showed strong connections to both FA and grazing. In contrast, in the obesity group, depression was the central node, but its connections were weak, with only marginal associations to FA. These results suggest that FA represents an important and distinct construct of the two populations. In patients with BED, FA is intimately connected to other loss-of-control-related eating behaviours, such as binge eating and grazing. Conversely, in those with obesity, depression explains the relationship of FA with pathological eating behaviours. The presence of FA seems to be a distinguishing characteristic in the psychopathology of patients suffering from obesity with and without BED, and this could have implications for the prevention, treatment and management of these disorders.

Personality differences in patients with and without gallstones

OBJECTIVE

Presence of gallstones is associated with a range of risk factors that have previously shown associations with personality traits. Our aim was to assess the differences in personality traits between the patients with and without gallstones.

METHODS

This study used a case-control design with 308 participants from the general population, 68.2% female, mean age 49.2 (SD 9.24) years, of whom 154 (50%) participants had asymptomatic gallstones. Personality was assessed with the Temperament and Character Inventory - Revised - 140 (TCI-R-140) and depression with the Center for Epidemiological Study of Depression Scale (CESD). Cut-off ≥16 on the CES-D was used as an exclusion criterion. Subjects were also checked for metabolic risk factors and sociodemographic characteristics.

RESULTS

The group with gallstones had significantly more pronounced metabolic risk factors and higher prevalence of smoking and alcohol usage in comparison with the group without gallstones. This group also exhibited higher temperament dimension Harm avoidance (HA) and lower character dimension Self-directedness (SD). Metabolic variables differed based on character dimension Cooperativeness (CO), smoking based on temperament dimensions Novelty seeking (NS) and HA, and alcohol usage on dimension NS within the gallstones group. In the logistic regression, controlled for smoking, alcohol usage and metabolic variables, temperament dimension HA was shown to be a significant predictor of the presence of gallstones.

CONCLUSION

Our findings indicate that personality may be associated with the presence of gallstones. Future longitudinal studies addressing the complex interplay of personality traits, psychological mechanisms and the associated behavioral, metabolic and neurobiological factors, are needed.

Maternal Over- and Malnutrition and Increased Risk for Addictive and Eating Disorders in the Offspring

Evidence from human and animal studies has shown that maternal overnutrition and/or obesity are linked with neurobehavioral changes in the offspring. This fetal programming is characterized by adaptive responses to changes in the nutritional state during early life. In the past decade, an association has been made between overconsumption of highly-palatable food by the mother during fetal development and abnormal behaviors resembling addiction in the offspring. Maternal overnutrition can lead to alterations in the offspring's brain reward circuitry leading to hyperresponsiveness of this circuit following exposure to calorie-dense foods later in life. Given the accumulating evidence indicating that the central nervous system plays a pivotal role in regulating food intake, energy balance, and the motivation to seek food, a dysfunction in the reward circuitry may contribute to the addiction-like behaviors observed in the offspring. However, the underlying mechanisms leading to these alterations in the reward circuitry during fetal development and their relevance to the increased risk for the offspring to later develop addictive-like behaviors is still unclear. Here, we review the most relevant scientific reports about the impact of food overconsumption during fetal development and its effect on addictive-like behaviors of the offspring in the context of eating disorders and obesity.