Associations of Food Addiction in a Sample Recruited to Be Nationally Representative of the United States

A bibliometric analysis and visualization of global food addiction over the last decade

BACKGROUND

Food addiction is a chronic psychological disorder resulting from repeated consumption of highly palatable foods, leading to physical and mental harm. It involves individuals who struggle to control their intake of high-energy, high-fat, and high-sugar foods, often experiencing withdrawal reactions and intense cravings that trigger binge eating during stress. Recent research has focused on the impact of food addiction on physical health, nutrition, and mental well-being. This study aims to review and analyze current evidence on food addiction to advance research in China.

METHODS

A total of 941 articles on food addiction published between January 2013 and April 2023 were analyzed using the Web of Science Core Collection. CiteSpace software was utilized to identify research trends, collaborations among disciplines, authors, and institutions, as well as key topics and emerging keywords.

RESULTS

The number of publications on food addiction has steadily increased over the past decade, with the United States leading in research output (393 articles). The University of Michigan and author Gearhardt AN were prominent contributors. Key research topics included obesity, eating disorders, addiction, and overeating. Emerging themes encompassed obesity psychology, food composition, brain function, and behavioral addiction.

CONCLUSION

Global research on food addiction primarily focuses on understanding the psychological and neurological underpinnings, metabolic implications, addictive behaviors, and treatment modalities such as sleeve gastrectomy. Future research aims to develop personalized prevention and intervention strategies for food addiction.

The effectiveness of the TRACE online nutrition intervention in improving dietary intake, sleep quality and physical activity levels for Australian adults with food addiction: a randomised controlled trial

BACKGROUND

Few interventions for food addiction (FA) report on dietary intake variables. The present study comprised a three-arm randomised controlled trial in adults with symptoms of FA. The aim was to evaluate dietary intake, sleep and physical activity resulting from a dietitian-led telehealth intervention at 3 months.

METHODS

Adults with ≥3 symptoms of FA and a body mass index > 18.5 kg/m2 were recruited. Dietary intake including energy, nutrients and diet quality were assessed by a validated food frequency questionnaire in addition to sleep quality and physical activity (total min) and compared between groups and over time. Personalised dietary goals set by participants were examined to determine whether improvements in percent energy from core and non-core foods were reported.

RESULTS

The active intervention group was superior compared to the passive intervention and control groups for improvements in percent energy from core (6.4%/day [95% confidence interval (CI) -0.0 to 12.9], p = 0.049), non-core foods (-6.4%/day [95% CI -12.9 to 0.0], p = 0.049), sweetened drinks (-1.7%/day [95% CI -2.9 to -0.4], p = 0.013), takeaway foods (-2.3%/day [95% CI -4.5 to -0.1], p = 0.045) and sodium (-478 mg/day [95% CI -765 to -191 mg], p = 0.001).

CONCLUSIONS

A dietitian-led telehealth intervention for Australian adults with FA found significant improvements in dietary intake variables. Setting personalised goals around nutrition and eating behaviours was beneficial for lifestyle change.

The burden of overweight/obesity and weight-related behaviors attributable to food addiction in emerging adults

While food addiction has been positively associated with excess weight and disordered eating behaviors, this has not been examined in representative samples of emerging adults, who are at elevated risk for these outcomes. This study investigated relationships of food addiction with weight outcomes, weight perception, and weight-control behaviors in emerging adults and estimated the population attributable fraction to food addiction. Data from an observational cohort study were collected in seven annual waves from 2010 to 2016. A nationally representative sample of 2785 10th grade students was recruited from schools within each U.S. census region (73% participation) (mean ± SD baseline age = 16.3 ± 0.5years). Wave 7 retention was 81% (n = 2323, 60% female, mean ± SD = 22.6 ± 0.5 years). Outcomes included current BMI, BMI change from baseline - wave 7, increased weight status in wave 7 (increased weight status from baseline-wave 7), perceived overweight, dieting, any weight-control behavior, and extreme weight-control behaviors. Food addiction was measured in wave 7 using the modified Yale Food Addiction Scale. Relative risk of the outcomes associated with food addiction, and population attributable fraction, were estimated using adjusted log-binomial or robust Poisson regression analyses accounting for the complex survey design. Food addiction prevalence was 4.7%. Participants with food addiction were primarily females (91%); food addiction was uncorrelated with other sociodemographics. Food addiction was associated with 48%-167% increased RR for all outcomes, but these were attenuated after adjustment for confounders (31%-64%). The population attributable fraction for food addiction ranged from 2% (high wave 7 BMI) - 5% (extreme weight-control behaviors). Although the population attributable fraction estimates indicate that the public health burden of these outcomes attributable to food addiction may be relatively minor, food addiction may signal the presence of several adverse mental health symptoms.

Development of the modified Highly Processed Food Withdrawal Scale (mProWS)

The Highly Processed Food Withdrawal Scale (ProWS) is a 29-item measure that operationalizes physical and psychological indicators of withdrawal symptoms associated with cutting down on the consumption of ultra-processed foods. The current study developed a briefer 7-item version of the ProWS (modified ProWS; mProWS) using the participant sample from the ProWS validation paper (n = 231). Then, in an independent sample recruited from Amazon Mechanical Turk, 244 participants (55.3% females) completed the mProWS, the ProWS, and measures of eating-related constructs in order to evaluate the psychometric properties of the mProWS, relative to the ProWS. The mProWS and the ProWS performed similarly on indexes of reliability, convergent validity with addictive-like eating behavior (e.g., Yale Food Addiction Scale 2.0 symptom count), discriminant validity with distinct measures (e.g., cognitive desire to restrict food consumption), and incremental validity evidenced by associations with weight cycling above and beyond body mass index (BMI) and YFAS 2.0 symptoms. The mProWS may be an appropriate choice for studies with higher participant burden (e.g., ecological momentary assessment) to assess withdrawal symptoms in real-time when they occur in response to cutting down on ultra-processed foods.

Food Addiction Screening, Diagnosis and Treatment: A Protocol for Residential Treatment of Eating Disorders, Substance Use Disorders and Trauma-Related Psychiatric Comorbidity

Food addiction, or ultra-processed food addiction (UPFA), has emerged as a reliable and validated clinical entity that is especially common in individuals seeking treatment for eating disorders (EDs), substance use disorders (SUDs) and co-occurring psychiatric disorders (including mood, anxiety and trauma-related disorders). The clinical science of UPFA has relied on the development and proven reliability of the Yale Food Addiction Scale (YFAS), or subsequent versions, e.g., the modified YFAS 2.0 (mYFAS2.0), as well as neurobiological advances in understanding hedonic eating. Despite its emergence as a valid and reliable clinical entity with important clinical implications, the best treatment approaches remain elusive. To address this gap, we have developed and described a standardized assessment and treatment protocol for patients being treated in a residential program serving patients with psychiatric multi-morbidity. Patients who meet mYFAS2.0 criteria are offered one of three possible approaches: (1) treatment as usual (TAU), using standard ED treatment dietary approaches; (2) harm reduction (HR), offering support in decreasing consumption of all UPFs or particular identified UPFs; and (3) abstinence-based (AB), offering support in abstaining completely from UPFs or particular UPFs. Changes in mYFAS2.0 scores and other clinical measures of common psychiatric comorbidities are compared between admission and discharge.

The different areas of chronic stress and food addiction: Results from the LIFE-Adult-Study

There is an empirical association between stress and symptoms of food addiction (FA), but it is still not clear which domains of stress are the most relevant when it comes to FA, limiting the ability of researchers and practitioners to address problematic eating-related health outcomes. In order to address this gap in the literature, we analysed how different domains of chronic stress are related to FA. We used data from a subsample of the LIFE-Adult-Study (N = 1172), a German cohort study. We conducted a linear regression analysis with stress domains (Trier Inventory for Chronic Stress, TICS) as predictors of FA (Yale Food Addiction Scale, YFAS). In the second regression analysis we included sociodemographic variables, personality, and smoking as control variables. There was a significant and positive association between Social Overload, Work Discontent, Excessive Demands from Work, and Chronic Worrying and FA. After adding control variables, only Social Overload, Excessive Demands from Work, and Chronic Worrying remained significant predictors. Connections between stress domains and FA can serve as starting points for the development of meaningful interventions that support individuals self-care strategies (Social Overload), complexity management (Excessive Demands from Work), and coping with negative emotions (Chronic Worrying).

Ultra-Processed Food Addiction: A Research Update

PURPOSE OF REVIEW

Detail recent advancements in the science on ultra-processed food (UPF) addiction, focusing on estimated prevalence rates and emerging health disparities; progress towards identifying biological underpinnings and behavioral mechanisms; and implications for weight management.

RECENT FINDINGS

Notable developments in the field have included: (1) estimating the global prevalence of UPF addiction at 14% of adults and 15% of youths; (2) revealing health disparities for persons of color and those with food insecurity; (3) observing altered functioning across the brain-gut-microbiome axis; (4) providing early evidence for UPF withdrawal; and (5) elucidating poorer weight management outcomes among persons with UPF addiction. The breadth of recent work on UPF addiction illustrates continued scientific and public interest in the construct and its implications for understanding and treating overeating behaviors and obesity. One pressing gap is the lack of targeted interventions for UPF addiction, which may result in more optimal clinical outcomes for this underserved population.

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.

Food Insecurity and Food Addiction in a Large, National Sample of Lower-Income Adults

Background

Growing research has highlighted associations between food insecurity and eating-related problems. Food addiction is one important, clinically significant pattern of problematic eating, which is related to, but distinct from, eating disorders. To date, there is only one study examining the association between food insecurity and food addiction, to our knowledge. Additional research is needed to understand the complexities of this association.

Objective

We examined the association between food insecurity and food addiction in a large, national convenience sample of lower-income adults and potential heterogeneity in this association by age, gender, race, and ethnicity.

Design

A cross-sectional, web-based study was conducted among 1780 US adults (≥18 y) with household incomes <250% of the federal poverty guideline. Household food security was assessed using the Household Food Security Survey Module. Food addiction was assessed using the modified Yale Food Addiction Scale (mYFAS), version 2.0. Multivariate logistic regression models examined the associations between food insecurity and food addiction, adjusting for sociodemographic covariates.

Results

The prevalence of food addiction was 7.3%, and the prevalence of food insecurity was 51%. Compared with adults with food security, adults with food insecurity endorsed each mYFAS symptom with significantly greater frequency, including failure to fulfill major role obligations (20%), continued use despite social or interpersonal problems (18%), and craving or strong desire to use (16%). After adjustment, food insecurity was associated with 3.82-fold higher odds of food addiction (95% CI 2.36, 6.19), with no significant heterogeneity by age, gender, or race and ethnicity. The most problematic foods reported by adults with food insecurity were chips, nondiet soda, chocolate, pizza, and ice cream.

Conclusion

These findings provide additional support for the association between food insecurity and food addiction. Mechanistic studies are needed to explore the role of psychosocial factors, eating behaviors, and the food environment in contributing to these associations.

Are healthiness and pleasure dimensions perceived similarly by people with food addiction in Brazil? A case study using holistic sensory methodologies

The relationship between the consumption of hyper-palatable ultra-processed foods and the process of addiction gains notoriety due to its relationship with obesity. Food addiction is a complex phenomenon intrinsically related to the individual's behavioral, emotional, and subjective aspects. Therefore, using classical approaches to sensory science may be insufficient to understand better the individual's sensory experience with hyper-palatable foods. In this context, sensory and consumer science techniques with holistic approaches have been aimed at accessing more subjective consumer perceptions. This study used the Yale Food Addiction Scale (YFAS 2.0) to investigate the prevalence of food addiction and the Structured Projective Mapping (S-MP) and Sorting techniques to verify how individuals with and without food addiction perceive and understand different types of food. The prevalence of food addiction was 21.77% (n = 59 out of 271) and was associated with a higher BMI but not with sociodemographic aspects. Projective Mapping (RV = 0.937) and Sorting (RV = 0.934) indicated that perception in relation to attributes such as health and pleasure was similar for all investigated foods in individuals with or without food addiction. The presence of addictive eating behavior does not seem to be related to the way individuals perceive foods from different categories, for example, minimally or highly processed and hyper-palatable foods.

The First Exploratory Personalized Medicine Approach to Improve Bariatric Surgery Outcomes Utilizing Psychosocial and Genetic Risk Assessments: Encouraging Clinical Research

It is predicted that by 2030, globally, an estimated 2.16 billion adults will be overweight, and 1.12 billion will be obese. This study examined genetic data regarding Reward Deficiency Syndrome (RDS) to evaluate their usefulness in counselling patients undergoing bariatric surgery and gathered preliminary data on the potential use in predicting short term (6-month) weight loss outcomes. Methods: Patients undergoing bariatric surgery (n = 34) were examined for Genetic Addiction Risk Severity (GARS) [measures the presence of risk alleles associated with RDS]; as well as their psychosocial traits (questionnaires). BMI changes and sociodemographic data were abstracted from Electronic Health Records. Results: Subjects showed ∆BMI (M = 10.0 ± 1.05 kg/m2) and a mean % excess weight loss (56 ± 13.8%). In addition, 76% of subjects had GARS scores above seven. The homozygote risk alleles for MAO (rs768062321) and DRD1 (rs4532) showed a 38% and 47% prevalence among the subjects. Of the 11 risk alleles identified by GARS, the DRD4 risk allele (rs1800955), was significantly correlated with change in weight and BMI six months post-surgery. We identified correlations with individual risk alleles and psychosocial trait scores. The COMT risk allele (rs4680) showed a negative correlation with EEI scores (r = -0.4983, p < 0.05) and PSQI scores (r = -0.5482, p < 0.05). The GABRB3 risk allele (rs764926719) correlated positively with EEI (r = 0.6161, p < 0.01) and FCQ scores (r = 0.6373, p < 0.01). The OPRM1 risk allele showed a positive correlation with the DERS score (r = 0.5228, p < 0.05). We also identified correlations between DERS and BMI change (r = 0.61; p < 0.01). Conclusions: These data support the potential benefit of a personalized medicinal approach inclusive of genetic testing and psychosocial trait questionnaires when counselling patients with obesity considering bariatric surgery. Future research will explore epigenetic factors that contribute to outcomes of bariatric surgery.

Prevalence and Correlates of Food Addiction in Bariatric Surgery Candidates and Its Effect on Bariatric Surgery Outcome: A Prospective Observational Study

PURPOSE

Studies have shown a high prevalence of food addiction (FA) in bariatric surgery candidates. This study examines prevalence of FA prior to and one year after bariatric surgery and the determinants of preoperative FA. Additionally, this study investigates how preoperative variables affect excess weight loss (EWL) one year after bariatric surgery.

MATERIALS AND METHODS

This prospective observational study included 102 patients at an obesity surgery clinic. Self-report measures, including demographic characteristics, the Yale Food Addiction Scale 2.0 (YFAS 2.0), the Depression Anxiety Stress Scale (DASS-21), and the Dutch Eating Behavior Questionnaire (DEBQ) were used two weeks before and one year after surgery.

RESULTS

The FA prevalence among bariatric surgery candidates decreased from 43.6% before surgery to 9.7% one year after surgery. Among independent variables, female gender and anxiety symptoms were associated with FA (OR = 4.20, 95% CI: 1.35-24.16, p = 0.028 and OR = 5.29, 95% CI: 1.49-18.81, p = 0.010, respectively). Only gender had a significant association with %EWL after surgery (p = 0.022); females had a higher mean %EWL than males.

CONCLUSION

FA is common among candidates for bariatric surgery, especially in women and participants with anxiety symptoms. The prevalence of FA, emotional eating, and external eating decreased after bariatric surgery.

Examining the efficacy of a telehealth intervention targeting addictive eating in Australian adults (the TRACE Programme): a randomised controlled trial protocol

INTRODUCTION

Approximately 15%-20% of the adult population self-report symptoms of addictive eating. There are currently limited options for management. Motivational interviewing-based interventions, containing personalised coping skills training, have been found to be effective for behaviour change in addictive disorders (eg, alcohol). This project builds upon foundations of an addictive eating feasibility study previously conducted and co-design process involving consumers. The primary aim of this study is to examine the efficacy of a telehealth intervention targeting addictive eating symptoms in Australian adults compared with passive intervention and control groups.

METHODS AND ANALYSIS

This three-arm randomised controlled trial will recruit participants 18-85 years, endorsing ≥3 symptoms on the Yale Food Addiction Scale (YFAS) 2.0, with body mass index >18.5 kg/m2. Addictive eating symptoms are assessed at baseline (pre-intervention), 3 months (post-intervention) and 6 months. Other outcomes include dietary intake and quality, depression, anxiety, stress, quality of life, physical activity and sleep hygiene. Using a multicomponent clinician-led approach, the active intervention consists of five telehealth sessions (15-45 min each) delivered by a dietitian over 3 months. The intervention uses personalised feedback, skill-building exercises, reflective activities and goal setting. Participants are provided with a workbook and website access. The passive intervention group receives the intervention via a self-guided approach with access to the workbook and website (no telehealth). The control group receives personalised written dietary feedback at baseline and participants advised to follow their usual dietary pattern for 6 months. The control group will be offered the passive intervention after 6 months. The primary endpoint is YFAS symptom scores at 3 months. A cost-consequence analysis will determine intervention costs alongside mean change outcomes.

ETHICS AND DISSEMINATION

Human Research Ethics Committee of University of Newcastle, Australia provided approval (H-2021-0100). Findings will be disseminated via publication in peer-reviewed journals, conference presentations, community presentations and student theses.

TRIAL REGISTRATION NUMBER

Australia New Zealand Clinical Trials Registry (ACTRN12621001079831).

Short-term Cafeteria Diet Is Associated with Fat Mass Accumulation, Systemic and Amygdala Inflammation, and Anxiety-like Behavior in Adult Male Wistar Rats

Obesity is linked to metabolic, hormonal and biochemical alterations, and is also a risk factor for behavioral disorders. Evidence suggests that these disorders may be related to the consumption of hypercaloric diets, fat mass accumulation and changes in inflammation and redox status. Although much is known about the chronic effects of hypercaloric diets on mental health, few studies have evaluated the consequences of short-term exposure of these diets on behavior. The aim of this study was to evaluate nutritional, behavioral (anxiety-like), inflammatory and redox status parameters in adult male Wistar rats exposed to short-term cafeteria diet. Adult Wistar male rats (90 days-old; n = 12/group) received, during 14 days, the diets: Control- standard diet; Simple Cafeteria Diet (SCD)- homogeneous cafeteria diet. Varied Cafeteria Diet (VCD)- cafeteria diet with rotation and variation. Nutritional analyzes and tests for anxiety-like behaviors were performed, in addition to inflammatory and redox status measurements in blood and amygdala. The SCD group showed higher fat energy intake, while the VCD group consumed more energy from carbohydrates. SCD and VCD showed higher fat mass accumulation, in addition to higher levels of TNFα, INFγ, TBARS and FRAP in the blood. Also, SCD and VCD groups reported high levels of TNFα in the amygdala. Regarding behavioral evaluations, SCD and VCD groups showed anxiogenesis in the elevated plus maze, light-dark box, and open field tests. Therefore, the two cafeteria diets induced obesity and systemic inflammation, which in turn, resulted in an increase in amygdala TNFα levels and anxiety-like behaviors in Wistar rats.

Psychometric validation of the full Yale food addiction scale for children 2.0 among adolescents from the general population and adolescents with a history of mental disorder

OBJECTIVE

Food addiction is a phenotype characterised by an addiction-like attraction to highly processed foods. Adolescence is a sensitive period for developing addictive disorders. Therefore, a valid measure to assess food addiction in adolescents is needed. Accordingly, the aim of the study was to establish a categorical scoring option for the full version of the Yale Food Addiction Scale for Children 2.0 (YFAS-C 2.0), and to psychometrically validate the full YFAS-C 2.0.

METHOD

The data stem from the Food Addiction Denmark (FADK) Project. Random samples of 3750 adolescents from the general population aged 13-17 years, and 3529 adolescents with a history mental disorder of the same age were invited to participate in a survey including the full version of the YFAS-C 2.0. A confirmatory factor analysis was carried out and the weighted prevalence of food addiction was estimated.

RESULTS

The confirmatory factor analysis of the YFAS-C 2.0 supported a one-factor model in both samples. The weighted prevalence of food addiction was 5.0% in the general population, and 11.2% in the population with a history of mental disorder.

CONCLUSIONS

The full version of the YFAS-C 2.0 is a psychometrically valid measure for assessing clinically significant food addiction in adolescents.

Dissociative experiences of compartmentalization are associated with food addiction symptoms: results from a cross-sectional report

PURPOSE

Studies have shown significant associations of dissociative symptoms with both eating and addictive disorders; however, the different forms of dissociation have been relatively understudied in relation to food addiction (FA). The main aim of this study was to investigate the association of certain forms of dissociative experiences (i.e., absorption, detachment and compartmentalization) with FA symptoms in a nonclinical sample.

METHODS

Participants (N = 755; 543 women; age range: 18-65; mean age: 28.22 ± 9.99 years) were evaluated using self-report measures of FA, dissociation, eating disturbances, and general psychopathology.

RESULTS

Compartmentalization experiences (defined as pathological over-segregation of higher mental functions) were independently associated with FA symptoms (β = 0.174; p = 0.013; CI = [0.008; 0.064]) even when confounding factors were controlled for.

CONCLUSION

This finding suggests that compartmentalization symptoms can have a role in the conceptualization of FA, with such two phenomena possibly sharing common pathogenic processes.

LEVEL OF EVIDENCE

Level V, cross-sectional descriptive study.

Night eating syndrome subtypes: differences in binge eating and food addiction symptoms

PURPOSE

The purpose of the current study was to examine differences in binge eating and food addiction symptoms between Night Eating Syndrome (NES) latent subtypes: evening hyperphagia with nocturnal ingestions (EHNI), evening hyperphagia-only (EHO), and nocturnal ingestions-only (NIO). It was hypothesized that the EHNI group would report more binge eating behaviors and more food addiction symptoms than both the EHO and NIO groups. Further, it was hypothesized that the EHO and NIO groups would differ with the EHO group reporting more binge eating behaviors and the NIO group reporting more food addiction symptoms.

METHODS

Participants completed measures online relating to night eating, binge eating, and food addiction. Average age of the final sample was 34.3 (SD = 10.5) and 62.0% were men. Responses to the Night Eating Questionnaire (NEQ; Allison et al., 2008) were used to create an EHNI group (n = 65), an EHO group (n = 32), and a NIO group (n = 69). ANOVAs were conducted to examine between-group differences on disordered eating symptoms.

RESULTS

Participants in the EHNI group reported more severe binge eating and food addiction symptoms than those in the EHO and NIO groups. However, there were no significant differences in binge eating or food addiction between the EHO and NIO groups.

CONCLUSION

Individuals who meet both NES core criteria (evening hyperphagia and nocturnal ingestions) are likely at a higher risk for experiencing other, more severe disordered eating pathologies. Implications concerning assessment and future research on NES typology are discussed.

LEVEL OF EVIDENCE

Level V, cross-sectional descriptive study.

Prevalence of food addiction determined by the Yale Food Addiction Scale in Latin America: A systematic review with meta-analysis

OBJECTIVE

Food addiction (FA) has been extensively investigated worldwide; however, the prevalence of FA in the Latin American population has yet to be established and past work has largely neglected the specificities of this region, that includes the most significant economic disparities in the world. Thus, the objective of this study was to assess the prevalence of FA measured by the Yale Food Addiction Scale in Latin America.

METHOD

The search was performed on MEDLINE, ScienceDirect, LILACS, IBECS, SciELO, PsycArticles, CENTRAL, and the gray literature. FA prevalence data were collected, and random effects meta-analyses were performed to calculate the overall weighted prevalence, the prevalence by country, and by clinical and non-clinical samples.

RESULTS

A total of 10,082 occurrences were identified through database searches, and 23 studies were included (Mexico = 9; Brazil = 7; Chile = 4; Argentina = 1; Peru = 1; Uruguay = 1). The prevalence of FA found in clinical samples was 38% (95% CI: 16%-63%; I²  = 98.67%; 8 studies), while in non-clinical samples, it was 15% (95% CI: 10%-21%; I²  = 98.51%; 15 studies).

DISCUSSION

The average prevalence of FA in the Latin American countries included here was in accordance with that reported in other regions worldwide. It is noteworthy that the studies were conducted only in six countries, which are among those with the highest income in the region and do not represent the situation in native populations or those with lower purchasing power. This gap in the data also reflects the effects of economic disparities on the availability of empirical data in the region.

PUBLIC SIGNIFICANCE

The prevalence of food addiction in Latin America was similar to that reported in other regions. It was higher among individuals with overweight, whether or not undergoing bariatric surgery, than in non-clinical samples. These findings contribute to aggregate information about this condition that has drawn the attention of clinicians and researchers.

Multi-omics gut microbiome signatures in obese women: role of diet and uncontrolled eating behavior

BACKGROUND

Obesity and related co-morbidities represent a major health challenge nowadays, with a rapidly increasing incidence worldwide. The gut microbiome has recently emerged as a key modifier of human health that can affect the development and progression of obesity, largely due to its involvement in the regulation of food intake and metabolism. However, there are still few studies that have in-depth explored the functionality of the human gut microbiome in obesity and even fewer that have examined its relationship to eating behaviors.

METHODS

In an attempt to advance our knowledge of the gut-microbiome-brain axis in the obese phenotype, we thoroughly characterized the gut microbiome signatures of obesity in a well-phenotyped Italian female cohort from the NeuroFAST and MyNewGut EU FP7 projects. Fecal samples were collected from 63 overweight/obese and 37 normal-weight women and analyzed via a multi-omics approach combining 16S rRNA amplicon sequencing, metagenomics, metatranscriptomics, and lipidomics. Associations with anthropometric, clinical, biochemical, and nutritional data were then sought, with particular attention to cognitive and behavioral domains of eating.

RESULTS

We identified four compositional clusters of the gut microbiome in our cohort that, although not distinctly associated with weight status, correlated differently with eating habits and behaviors. These clusters also differed in functional features, i.e., transcriptional activity and fecal metabolites. In particular, obese women with uncontrolled eating behavior were mostly characterized by low-diversity microbial steady states, with few and poorly interconnected species (e.g., Ruminococcus torques and Bifidobacterium spp.), which exhibited low transcriptional activity, especially of genes involved in secondary bile acid biosynthesis and neuroendocrine signaling (i.e., production of neurotransmitters, indoles and ligands for cannabinoid receptors). Consistently, high amounts of primary bile acids as well as sterols were found in their feces.

CONCLUSIONS

By finding peculiar gut microbiome profiles associated with eating patterns, we laid the foundation for elucidating gut-brain axis communication in the obese phenotype. Subject to confirmation of the hypotheses herein generated, our work could help guide the design of microbiome-based precision interventions, aimed at rewiring microbial networks to support a healthy diet-microbiome-gut-brain axis, thus counteracting obesity and related complications.

Daytime sleepiness, addictive-like eating, and obesity sequelae in Black and African American youth with obesity

OBJECTIVES

The purpose of the current study was to examine the association between poor sleep health (ie, excessive daytime sleepiness), obesity sequelae (ie, percent overweight and serum leptin levels), and addictive-like eating behaviors, an obesity phenotype, in a sample of Black/African American (B/AA) adolescents.

DESIGN

The current study analyzed archival baseline data from a sample of B/AA adolescents with obesity enrolled in a sequential randomized clinical trial.

SETTING

Data were collected in the participants' homes by trained research assistants unaware of treatment condition.

PARTICIPANTS

A sample of 181 B/AA adolescents with obesity between the ages of 12 and 16 years (M = 14.26, SD = 1.46) and having a body mass index (BMI) above the 95th percentile for age and gender were sampled.

MEASUREMENTS

Self-report measures included the Cleveland Adolescent Sleepiness Questionnaire and the Yale Food Addiction Scale-Children (YFAS-C). Anthropomorphic data and blood samples were used to determine BMI and serum leptin levels, respectively.

RESULTS

Excessive daytime sleepiness was positively correlated with YFAS-C symptom count, r = 0.295, P < .001. Serum leptin levels and percent overweight were both positively correlated with each other, r = 0.445, P < .001 and with YFAS-C symptom count, r = 0.215, P = .006. After controlling for age and gender, results supported an indirect effect from daytime sleepiness to both serum leptin levels (estimate = 2.210, SE = 0.932, P = .018) and percent overweight (estimate = 2.817, SE = 1.415, P = .046) through YFAS-C symptom count.

CONCLUSIONS

Culturally informed interventions on eating behaviors (ie, addictive-like eating) when excessive daytime sleepiness is reported are needed. Early intervention may help prevent the onset or worsening of obesity among adolescents.

Socio-Demographic, Self-Control, Bullying, Parenting, and Sleep as Proximal Factors Associated with Food Addiction among Adolescents

Adolescence is considered an important period of neurodevelopment. It is a time for the emergence of psychosocial vulnerabilities, including symptoms of depression, eating disorders, and increased engagement in unhealthy eating behaviours. Food addiction (FA) in adolescents is an area of study where there has been substantial growth. However, to date, limited studies have considered what demographic characteristics of adolescents may predispose them to endorse greater symptoms of FA. Studies have found a variety of factors that often cluster with and may influence an adolescent's eating behaviour such as sleep, level of self-control, and parenting practices, as well as bullying. Therefore, this study investigated a range of socio-demographic, trait, mental health, and lifestyle-related profiles (including self-control, parenting, bullying, and sleep) as proximal factors associated with symptoms of FA, as assessed via the Yale Food Addiction Scale for Children (YFAS-C) in a large sample of Australian adolescents. Following data cleaning, the final analysed sample included 6587 students (age 12.9 years ± 0.39; range 10.9-14.9 years), with 50.05% identifying as male (n = 3297), 48.5% as female (n = 3195), 1.02% prefer not to say (n = 67), and 0.43% as non-binary (n = 28). Self-control was found to be the most significant predictor of total FA symptom score, followed by female gender, sleep quality, and being a victim of bullying. Universal prevention programs should therefore aim to address these factors to help reduce the prevalence or severity of FA symptoms within early adolescent populations.

The Yale Food Addiction Scale 2.0 and the modified Yale Food Addiction Scale 2.0 in Taiwan: Factor structure and concurrent validity

Introduction

The most widely used instruments to assess food addiction - the Yale Food Addiction Scale 2.0 (YFAS 2.0) and its modified version (mYFAS 2.0) - have not been validated in a Taiwanese population. The present study compared the psychometric properties between the Taiwan versions of YFAS 2.0 and mYFAS 2.0 among university students.

Methods

An online survey comprising the YFAS 2.0, mYFAS 2.0, Weight Self-Stigma Questionnaire (WSSQ) and International Physical Activity Questionnaire-Short Form (IPAQ-SF) were used to assess food addiction, self-stigma, and physical activity.

Results

All participants (n = 687; mean age = 24.00 years [SD ± 4.48 years]; 407 females [59.2%]) completed the entire survey at baseline and then completed the YFAS 2.0 and mYFAS 2.0 again three months later. The results of confirmatory factor analysis (CFA) indicated that the YFAS 2.0 and mYFAS 2.0 both shared a similar single-factor solution. In addition, both the YFAS 2.0 and mYFAS 2.0 reported good internal consistency (Cronbach's α = 0.90 and 0.89), good test-retest reliability (ICC = 0.71 and 0.69), and good concurrent validity with the total scores being strongly associated with the WSSQ (r = 0.54 and 0.57; p < 0.01), and less strongly associated with BMI (r = 0.17 and 0.13; p < 0.01) and IPAQ-SF (r = 0.23 and 0.25; p < 0.01).

Discussion

Based on the findings, the Taiwan versions of the YFAS 2.0 and mYFAS 2.0 appear to be valid and reliable instruments assessing food addiction.

Withdrawal: A key consideration in evaluating whether highly processed foods are addictive

Researchers are currently debating whether theories of addiction explain compulsive overeating of highly processed (HP) foods (i.e., industrially created foods high in refined carbohydrates and/or fat), which contributes to obesity and diet-related disease. A subset of individuals consumes HP foods with behavioral phenotypes that mirror substance use disorders. Withdrawal, the emergence of aversive physical and psychological symptoms upon reduction or cessation of substance use, is a core component of addiction that was central to historical debates about other substances' addictive potential (e.g., nicotine and cocaine). However, no one has systematically considered evidence for whether HP foods cause withdrawal, which represents a key knowledge gap regarding the utility of addiction models for understanding compulsive overeating. Thus, we reviewed evidence for whether animals and humans exhibit withdrawal when reducing or eliminating HP food intake. Controlled experimental evidence indicates animals experience HP food withdrawal marked by neural reward changes and behaviors consistent with withdrawal from other addictive substances. In humans, preliminary evidence supports subjective withdrawal-like experiences. However, most current human research is limited to retrospective recall. Further experimental research is needed to evaluate this construct. We outline future research directions to investigate HP food withdrawal in humans and consider potential clinical implications.

Association of Food Insecurity and Food Addiction Symptoms: A Secondary Analysis of Two Samples of Low-Income Female Adults

BACKGROUND

Household food insecurity persists in the United States and has important implications for health and well-being. Food insecurity in female-identified caregivers is particularly concerning, given its association with their mental health and adverse health outcomes for their children. Food insecurity is associated with disordered eating but, to our knowledge, no prior studies have examined an association between food insecurity and food addiction.

OBJECTIVE

Our aim was to examine whether food insecurity is associated with higher food addiction symptom endorsement in low-income female adults.

DESIGN

Secondary analysis of baseline data from a quasi-experimental study of a mindfulness-based intervention on gestational weight gain among low-income pregnant individuals and an observational study of low-income families.

PARTICIPANTS/SETTING

Participants in study 1 (n = 208) were English-speaking, low-income pregnant individuals with overweight or obesity, recruited in California from 2011 to 2013. Participants in study 2 (n = 181) were English-speaking, low-income female caregivers for children aged 8 through 10 years, recruited in Michigan from 2018 to 2019. Both studies recruited participants from community health clinics, social service agencies, and online advertisements.

MAIN OUTCOME MEASURES

The primary outcome measure was food addiction symptoms, assessed by the Yale Food Addiction Scale.

STATISTICAL ANALYSIS

Multivariate Poisson regression was used to examine the association between household food insecurity and food addiction symptoms in each sample, adjusted for sociodemographic characteristics.

RESULTS

In study 1, pregnant individuals in food-insecure households reported 21% higher food addiction symptoms than pregnant individuals in food-secure households (incidence rate ratio 1.21; 95% CI 1.00 to 1.47; P = .047). In study 2, caregivers in food-insecure households had 56% higher food addiction symptoms than caregivers in food-secure households (incidence rate ratio 1.56; 95% CI 1.01 to 2.40; P = .045).

CONCLUSIONS

These findings provide preliminary support for a relationship between household food insecurity and food addiction. Future research should examine potential mechanisms and whether interventions to reduce food insecurity lower risk of food addiction.

The Modified Yale Food Addiction Scale May Be Simplified and Diagnostically Improved: The Same Prevalence but Different Severity and Risk Factors of Food Addiction among Female and Male Students

The Yale Food Addiction Scale (YFAS) is the most commonly used scale for measuring food addiction (FA). The previous approach to the YFAS and its subsequent versions assumed dichotomization of items, separating addiction symptoms and clinical significance items, and factorial validity testing on a subset of items. In this paper, we discuss the drawbacks associated with these procedures. In addition, we present a different analytical approach to investigate the validity of the modified YFAS (mYFAS) along with an alternative scoring method that overcomes limitations related to the previous approach. After establishing the structure of the mYFAS, we investigated the potential antecedents and consequences of FA separately for men and women. The sample consisted of 1182 Polish undergraduate students (613 women, 559 men, 10 missing values on gender) with a mean age of 20.33 years (SD = 1.68; range: 18–36). They were asked to complete self-report questionnaires measuring FA, personality traits (Big Five), self-esteem, narcissism, self-efficacy, social anxiety, loneliness, and well-being indicators. Due to the low content, factorial, and clinical validity, the first three items were excluded from the Polish version of the mYFAS. The six-item mYFAS demonstrated measurement invariance, allowing for meaningful comparisons between genders and yielded almost identical prevalence rates for men and women. The hierarchical multiple regression analysis showed that, narcissism, and social anxiety predicted FA in both genders, whereas important gender differences in antecedents were also noted. In addition, FA was associated with body mass index (BMI) and most of the well-being indicators, even after controlling for relevant variables. The findings suggest that our modified analytical approach allows researchers to measure FA using a valid, useful, and simple tool.

Childhood trauma and food addiction: The role of emotion regulation difficulties and gender differences

OBJECTIVE

Childhood trauma has been associated with substance use disorders (SUDs), but less research has investigated its association with food addiction (i.e., compulsive intake of highly processed foods containing refined carbohydrates and/or added fat). Existing research on childhood trauma and food addiction has focused primarily on women from restricted samples. Further, emotion dysregulation difficulties are implicated in both childhood trauma and food addiction, but research has not explored whether it may play a mediating role.

METHOD

Thus, the current study utilizes a sample of 310 participants recruited from Amazon Mechanical Turk (mean age = 41.3 years old, 47.4% men, 78.7% white) to investigate the mediating role of emotion dysregulation in the association between childhood trauma and food addiction. We also conducted exploratory analyses to investigate for gender differences in these associations. Gender-stratified correlational matrixes were conducted to investigate association between childhood trauma, food addiction, and emotional dysregulation. Moderated mediation models and multilevel regressions were also conducted to identify the role of gender in the association between childhood trauma, food addiction, and emotion dysregulation.

RESULTS

Emotion dysregulation was found to partially mediate the associations between food addiction and childhood trauma and gender was found to moderate associations between childhood trauma and emotion dysregulation, as well as childhood trauma and food addiction. Both moderating pathways were significantly stronger for men compared to women.

DISCUSSION

Results suggests that emotion dysregulation may be one important mediator in the association between childhood trauma and food addiction, particularly for men. The identification of other potential mechanisms contributing to the association between childhood trauma and food addiction and the use of longitudinal measurement strategies will be important in future research.

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.

Development of the Hedonic Overeating–Questionnaire (HEDO–Q)

Addictive-like eating is prevalent, but a clear conceptualization and operationalization outside of an addiction framework is lacking. By adopting a biopsychological framework of food reward, this study sought to develop and evaluate a brief self-report questionnaire for the trait assessment of hedonic overeating and dyscontrol. Items in the Hedonic Overeating–Questionnaire (HEDO–Q) were constructed following a rational approach and psychometrically evaluated in a large random sample from the German population (N = 2531). A confirmatory factor analysis supported the unidimensional nature of the six-item HEDO–Q with the three postulated components of wanting, liking, and dyscontrol. Psychometric properties were favorable with good corrected item-total correlations, acceptable item difficulty and homogeneity, and high internal consistency. Population norms were provided. The HEDO–Q revealed strict measurement invariance for sex and partial invariance for age and weight status. Discriminant validity was demonstrated in distinguishing participants with versus without eating disturbances or obesity. Associations with the established measures of eating disorder and general psychopathology supported the convergent and divergent validity of the HEDO–Q. This first evaluation indicates good psychometric properties of the HEDO–Q in the general population. Future validation work is warranted on the HEDO–Q’s stability, sensitivity to change, and predictive and construct validity.

Food Addiction and Emotional Eating Behaviors Co-Occurring with Problematic Smartphone Use in Adolescents?

Addiction in adolescence is increasing and has a significant impact on physical and mental health. Notably, addictions can be comorbid and affect each other. Despite the recent growing interest in food addiction (FA) and problematic smartphone use (PSU), few studies have investigated their association in adolescents. We investigated the relationship between FA and PSU in adolescents and the effects of eating behaviors. A total of 209 adolescents (44.5% male; mean age = 12.86 ± 0.7 years) participated in the current school-based community study. We found a positive correlation between the dimensional Yale Food Addiction Scale for Children 2.0 (dYFAS-C2.0) and the Smartphone Overdependence Scale after adjusting for age, sex, body mass index, and socioeconomic status. The high-risk PSU group accounted for 17.2% of participants. Furthermore, this group showed 2.3 times higher dYFAS-C2.0 scores than the general group. Emotional overeating and satiety responsiveness were correlated with PSU. A comprehensive evaluation of addiction symptoms is needed for proper intervention, especially in adolescents with symptoms of abnormal eating behaviors.

Prevalence of food addiction determined by the Yale Food Addiction Scale and associated factors: A systematic review with meta-analysis

OBJECTIVE

To determine, through a systematic review with meta-analysis, the prevalence of food addiction (FA) using the Yale Food Addiction Scale (YFAS) and its derivatives exploring possible factors associated with the prevalence of FA in several contexts.

METHODS

The following databases were searched: MEDLINE, ScienceDirect, LILACS, PsycArticles, CENTRAL, Greylit.org, and OpenGrey.eu. Studies that assessed FA using YFAS were included. Two independent reviewers assessed the eligibility of each report. Random-effects meta-analysis was performed to calculate the weighted prevalence of FA. Subgroup analyses and meta-regression were conducted to explore sources of heterogeneity.

RESULTS

Of the 6425 abstracts reviewed, 272 studies were included. The weighted mean prevalence of FA diagnosis was 20% (95% CI: 18%; 21%). The prevalence of FA was higher in individuals with clinical diagnosis of binge eating (55%; 95% CI 34%; 75%). The prevalence in clinical samples was higher compared to non-clinical samples. Two studies included children only and no studies included only elderly people.

CONCLUSIONS

Food addiction is a topic in which there has been a significant growth in studies. The highest prevalence was found in the group of participants with eating disorders and weight disorders. More studies with children and the elderly are needed.

Anxiety and Food Addiction in Men and Women: Results From the Longitudinal LIFE-Adult-Study

BACKGROUND

Anxiety is a widespread phenomenon, and it is connected to disordered eating and obesity. We want to analyze the connection between anxiety and food addiction (FA) over two points in time to better understand the directionality of the association. Since there are gender differences with regard to anxiety and eating, we are also interested in differences between men and women.

METHODS

We used data from the population-based LIFE-Adult-Study (N = 1,474) at time 1 (baseline) and time 2 (first follow-up) to analyze the connections between anxiety (GAD-7) and FA (YFAS) using a multiple group latent cross-lagged panel model with female and male participants as groups. We controlled for age, marital status, socioeconomic status and social support.

RESULTS

Anxiety (women: β = 0.50, p ≤ 0.001; men: β = 0.59, p ≤ 0.001) as well as FA (women: β = 0.37, p ≤ 0.001; men: β = 0.58, p ≤ 0.001) exhibited stability over time for both genders. We found a significant association between anxiety at time 1 and FA at time 2 for women (β = 0.25, p ≤ 0.001) but not for men (β = 0.04, p = 0.10), and significant associations between FA at time 1 and anxiety at time 2 for women (β = 0.23, p ≤ 0.001) as well as men (β = 0.21, p ≤ 0.001).

CONCLUSION

Food addiction longitudinally affects anxiety, independent of gender and other sociodemographic variables. In addition, anxiety affects subsequent FA as well, but only in women. Interventions that address FA could reduce anxiety in men and women, while interventions that mitigate anxiety could help prevent FA in women.

The Prevalence of ''Food Addiction'' during the COVID-19 Pandemic Measured Using the Yale Food Addiction Scale 2.0 (YFAS 2.0) among the Adult Population of Poland

The announcement of the coronavirus pandemic by the World Health Organization (WHO), ongoing restrictions and isolation led to a break with the daily routine, and suspension of social contacts, but also imposed new challenges on the population related to maintaining healthy eating habits. The purpose of the study was to assess the prevalence of “food addiction” (FA) during the COVID-19 pandemic in Poland in relation to several variables including depression. The method of analysis was a questionnaire containing original questions and the Yale Food Addiction Scale 2.0 (YFAS). A total of 1022 Polish residents aged 18–75 participated in the study (N = 1022; 93.7% women, 6.3% men). The prevalence of FA during the COVID-19 pandemic measured with the YFAS 2.0 scale was 14.1%. The average weight gain during the pandemic in 39% of respondents was 6.53 kg. Along with the increase in the value of the BMI index, the intensity of “food addiction” increased in the study group. People with depression had statistically significantly more FA symptoms than healthy people. This work may motivate future research to evaluate the association and potential overlap of “food addiction” and problem eating behaviors during the pandemic and the obesity problem.

Extending Expectancy Theory to Food Intake: Effect of a Simulated Fast-Food Restaurant on Highly and Minimally Processed Food Expectancies

Unhealthy diets are widespread and linked to a number of detrimental clinical outcomes. The current preregistered experiment extended Expectancy Theory into the study of food intake; specifically, we tested whether a fast-food restaurant affects food expectancies, or the emotions one expects to feel while eating highly (e.g., pizza) and minimally (e.g., carrots) processed foods. Participants (N = 200, M age = 18.79) entered a simulated fast-food restaurant or a neutral space, completed questionnaires, and engaged in a 'bogus' taste test. The simulated fast-food restaurant increased positive highly-processed food expectancies (d = 0.29). Palatable eating coping motives scores did not moderate the effect; however, this clinically-relevant pattern of eating behavior was associated with greater positive highly-processed food expectancies. In addition, there was an indirect effect of the fast-food restaurant on ad libitum food intake through positive highly-processed food expectancies. Reducing positive highly-processed food expectancies may improve diet, which may broadly impact health.

A cross-sectional examination of reported changes to weight, eating, and activity behaviors during the COVID-19 pandemic among United States adults with food addiction

Prior studies have demonstrated the effects of the COVID-19 pandemic on weight management and lifestyle behaviors, though identification of who may be at greatest risk for negative consequences has not been fully explored. Addictive-like eating behavior, or food addiction, has been associated with an array of problematic eating behaviors, which may suggest heightened susceptibility to poorer outcomes. In this online, cross-sectional study, adults (ages 18–78; M = 42.36, SD = 13.08) living in the United States (n = 288) completed questionnaires assessing food addiction and reported changes to their weight, eating, and physical activity before and during the COVID-19 pandemic. Individuals with food addiction gained an average of 12.42 lb (5.63 kg) since March 2020, compared to an average weight gain of 2.14 lb (0.97 kg) for those without food addiction (p < .001). Linear regression analyses controlling for age and body mass index (BMI) showed that food addiction was independently associated with higher weight gain (B = 9.28, t = 4.97, p < .001), greater intake of ultra-processed foods before and during COVID-19 (B = 1.08, t = 5.71, p < .001; B = 1.18, t = 6.42, p < .001, respectively), greater attribution of their overall current eating behaviors to COVID-19 circumstances (B = 23.19, t = 4.62, p < .001), and higher distress about their overall current eating behaviors (B = −22.12, t = −2.50, p = .01). Interaction effects demonstrated that individuals with food addiction who are older may be at particularly high risk for weight gain and distress. The present research suggests that food addiction is a uniquely meaningful phenotype, beyond the effects of BMI, to identify risk for the negative consequences of COVID-19. Individuals with food addiction, particularly those who are older, may benefit from support with weight management and addictive-like eating as the COVID-19 pandemic persists and resolves.

Clinical Features of Gambling Disorder Patients with and Without Food Addiction: Gender-Related Considerations

Although food addiction (FA) is a debated condition and it is not currently recognized as a formal diagnosis, it shares features with other addictions, such as gambling disorder (GD). However, the prevalence of FA in GD and the clinical correlates are incompletely understood, especially within women versus men. To investigate FA in patients presenting with GD. The sample included 867 patients diagnosed with GD (798 males and 69 females) attending a specialized behavioral addictions unit. FA was observed in 8.3% of GD patients (18.8% of women, 7.4% of men). More psychopathology and harm avoidance, greater body mass indices and less self-directedness and cooperativeness were associated with FA. In women, FA was associated with a longer GD duration. In men, FA was associated with earlier GD onset, greater GD and problematic alcohol use severities. Among patients with GD, FA was associated with more psychopathology and gambling patterns suggestive of more protracted or severe GD. Screening for and addressing FA condition in patients with GD may help optimize preventive and therapeutic approaches. Future studies should consider testing guidelines to improve healthy eating habits, increase physical exercise and better manage stress and other negative emotions in order to target FA in GD.

Metabolic, Affective and Neurocognitive Characterization of Metabolic Syndrome Patients with and without Food Addiction. Implications for Weight Progression

According to the food addiction (FA) model, the consumption of certain types of food could be potentially addictive and can lead to changes in intake regulation. We aimed to describe metabolic parameters, dietary characteristics, and affective and neurocognitive vulnerabilities of individuals with and without FA, and to explore its influences on weight loss progression. The sample included 448 adults (55-75 years) with overweight/obesity and metabolic syndrome from the PREDIMED-Plus cognition sub-study. Cognitive and psychopathological assessments, as well as dietary, biochemical, and metabolic measurements, were assessed at baseline. Weight progression was evaluated after a 3-year follow up. The presence of FA was associated with higher depressive symptomatology, neurocognitive decline, low quality of life, high body mass index (BMI), and high waist circumference, but not with metabolic comorbidities. No differences were observed in the dietary characteristics except for the saturated and monounsaturated fatty acids consumption. After three years, the presence of FA at baseline resulted in a significantly higher weight regain. FA is associated with worse psychological and neurocognitive state and higher weight regain in adults with metabolic syndrome. This condition could be an indicator of bad prognosis in the search for a successful weight loss process.

Is Food Addictive? A Review of the Science

As ultraprocessed foods (i.e., foods composed of mostly cheap industrial sources of dietary energy and nutrients plus additives) have become more abundant in our food supply, rates of obesity and diet-related disease have increased simultaneously. Food addiction has emerged as a phenotype of significant empirical interest within the past decade, conceptualized most commonly as a substance-based addiction to ultraprocessed foods. We detail (a) how approaches used to understand substance-use disorders may be applicable for operationalizing food addiction, (b) evidence for the reinforcing potential of ingredients in ultraprocessed foods that may drive compulsive consumptions, (c) the utility of conceptualizing food addiction as a substance-use disorder versus a behavioral addiction, and (d) clinical and policy implications that may follow if ultraprocessed foods exhibit an addictive potential. Broadly, the existing literature suggests biological and behavioral parallels between food addiction and substance addictions, with ultraprocessed foods high in both added fat and refined carbohydrates being most implicated in addictive-like eating. Future research priorities are also discussed, including the need for longitudinal studies and the potential negative impact of addictive ultraprocessed foods on children. Expected final online publication date for the Annual Review of Nutrition, Volume 41 is September 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

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.

Foods and Nutritional Characteristics Associated With Addictive-Like Eating

Emerging literature is exploring the contribution of specific nutritional characteristics and food additives to the development of addictive-like eating, implicating highly processed foods and those high in fat and sugar in its pathophysiology. To our knowledge, no mixed methods study has yet aimed to investigate the relationship between food characteristics and addictive-like eating. Towards this end, we applied an a priori classification scheme to open-ended answers to enable us to use quantitative methods to analyze qualitative data. A sample of individuals who endorsed self-perceived "food addiction" (N = 182; 50% female; M_age = 34.1) reported the foods to which they believed they were "addicted." We classified these foods according to their levels of fat, carbohydrates, sugar, and sodium, and evaluated their predictive power on addictive-like eating. Pizza, chocolate, hamburgers, and pasta respectively, were the most reported food items to which participants felt they were addicted. Addictive-like eating was significantly predicted by endorsement of "addiction" to high-sodium foods. In contrast, "addiction" to high-sugar foods negatively predicted addictive-like eating symptoms. Findings support an association between highly processed and high-sodium foods with addictive-like eating behavior among humans, consistent in large part with prior human and animal literature. Results also suggest that people are readily able to report on their experiences of addiction to foods; specifically, they can freely endorse the experience of addictive-like eating and offer experiences of addictive foods that are largely consistent with theory and the literature.

Prevalence and correlates of food addiction: Systematic review of studies with the YFAS 2.0

BACKGROUND

Research on food addiction (FA) has been growing and increasing interest has been seen in comprehending its mechanisms and clinical and psychological correlates of this phenomena. This field of study is specially apply to understand obesity and eating behavior issues related to eating disorders (ED).

OBJECTIVES

We performed a literature review that describe recent research using the updated version of the Yale Food Addiction Scale (YFAS 2.0) or modified-YFAS (mYFAS 2.0), from the date of its publication.

METHODS

Search were performed in Web of Science, Pubmed and PsycNET databases for studies that used the YFAS 2.0 and mYFAS 2.0.

RESULTS

The studies (n = 53) investigated adaptation and validation of the scale in different cultures (n = 13), prevalence on nonclinical populations and representative samples (n = 5), food addiction in obesity samples (n = 11), in samples with ED and disordered eating (n = 10) and studies that investigated FA in association with other clinical and psychological variables (n = 14).

DISCUSSION

Studies with the YFAS 2.0 reveal higher prevalence of FA in different samples, and a great association between FA and BED, BN and obesity. Implications for diagnostic of this phenomena and the overlap between FA and other disorders are discussed.

CONCLUSIONS

The field of FA remains an open subject and effort must be implied to understand the subjective experience of addiction related to eating and food.

An exploratory study of food addiction in Indian youth

BACKGROUND AND AIMS

As the understanding of food addiction increases, there is a need to explore the occurrence of this condition in different population groups. This exploratory study aimed to assess the occurrence of food addiction in a sample of respondents from India using a Hindi version of the Yale Food Addiction Scale (YFAS).

METHODS

The Hindi language version of the scale was developed using the back-translation methodology. Subsequently, an online questionnaire-based study was conducted using convenience sampling which presented the Hindi version of YFAS.

RESULTS

From 376 respondents (median age 19 years, 42.8% males), the rate of occurrence of food addiction was 13.3%. Persistent desire or repeated unsuccessful attempts to quit was the most common symptom domain endorsed. The weight (median 67 kg versus 60 kg) and BMI (median 25.89 kg/ m²versus 23.04 kg/ m²) were higher in the food addiction group as compared to the non-food addiction group.

CONCLUSIONS

Despite the limitations of potential selection bias, this exploratory study suggests that food addiction may be present in a proportion of young aged Indians. The association of food addiction with higher weight and BMI suggests propensity to develop metabolic syndrome, and the need to evaluate interventions that could modify phenomenological expression of food addiction.

A narrative review of highly processed food addiction across the lifespan

Evidence is growing that highly processed (HP) foods (i.e., foods high in refined carbohydrates and fat) are highly effective in activating reward systems and may even be capable of triggering addictive processes. Unlike traditional drugs of abuse, exposure to HP foods is common very early in development. HP food addiction has been associated with negative outcomes, including higher body mass index (BMI), more frequent binge eating, greater failure in weight loss treatment trials, and poorer mental and physical health. Although most research on HP food addiction has been conducted using adult samples, research on this topic now spans across the life span beginning in utero and extending through older adulthood. HP food addiction and related reward-based changes are associated with negative outcomes at every life stage, which has important implications for developmentally tailored prevention and treatment efforts. Using a developmentally informed approach, the current study comprehensively reviews the existing research on HP food addiction across the lifespan and highlights important areas of future research.

Alterations in reward network functional connectivity are associated with increased food addiction in obese individuals

Functional neuroimaging studies in obesity have identified alterations in the connectivity within the reward network leading to decreased homeostatic control of ingestive behavior. However, the neural mechanisms underlying sex differences in the prevalence of food addiction in obesity is unknown. The aim of the study was to identify functional connectivity alterations associated with: (1) Food addiction, (2) Sex- differences in food addiction, (3) Ingestive behaviors. 150 participants (females: N = 103, males: N = 47; food addiction: N = 40, no food addiction: N = 110) with high BMI ≥ 25 kg/m2 underwent functional resting state MRIs. Participants were administered the Yale Food Addiction Scale (YFAS), to determine diagnostic criteria for food addiction (YFAS Symptom Count ≥ 3 with clinically significant impairment or distress), and completed ingestive behavior questionnaires. Connectivity differences were analyzed using a general linear model in the CONN Toolbox and images were segmented using the Schaefer 400, Harvard-Oxford Subcortical, and Ascending Arousal Network atlases. Significant connectivities and clinical variables were correlated. Statistical significance was corrected for multiple comparisons at q < .05. (1) Individuals with food addiction had greater connectivity between brainstem regions and the orbital frontal gyrus compared to individuals with no food addiction. (2) Females with food addiction had greater connectivity in the salience and emotional regulation networks and lowered connectivity between the default mode network and central executive network compared to males with food addiction. (3) Increased connectivity between regions of the reward network was positively associated with scores on the General Food Cravings Questionnaire-Trait, indicative of greater food cravings in individuals with food addiction. Individuals with food addiction showed greater connectivity between regions of the reward network suggesting dysregulation of the dopaminergic pathway. Additionally, greater connectivity in the locus coeruleus could indicate that the maladaptive food behaviors displayed by individuals with food addiction serve as a coping mechanism in response to pathological anxiety and stress. Sex differences in functional connectivity suggest that females with food addiction engage more in emotional overeating and less cognitive control and homeostatic processing compared to males. These mechanistic pathways may have clinical implications for understanding the sex-dependent variability in response to diet interventions.

Cognitive remediation-enabled cognitive behaviour therapy for obesity: a case series

PURPOSE

Despite varied treatment effects, weight recidivism is common and typically associated with the abandonment of prescribed weight management strategies. Literature suggests that difficulty with weight management is associated with deficits in executive functioning, in particular cognitive flexibility and response inhibition, the neurocognitive processes that are involved in goal-directed behaviours, such as dietary adherence. These processes are overlooked by mainstream weight loss programmes. The aim of the study was to assess the effectiveness of a cognitive remediation-enabled cognitive behaviour therapy (CR-CBT) in addressing the neurocognitive, psychological and behavioural correlates of weight loss. It was hypothesised that CR-CBT would improve cognitive flexibility and response inhibition, reduce binge eating, aid weight loss and improve metabolic health.

METHODS

Four adults with obesity (body mass index > 30 kg/m²) received 7 weeks of manualised CR-CBT and were assessed via a case series analysis at baseline, end of treatment and 3-month follow-up. Treatment included 3 weekly 90-min group-based behaviour weight loss sessions for 3 weeks, followed by twice-weekly 50-min individualised CR-CBT sessions for 4 weeks.

RESULTS

Cognitive remediation-enabled cognitive behaviour therapy produced improvements in response inhibition and cognitive flexibility, and reductions in binge eating frequency, weight, and metabolic health readings between baseline and 3-month follow-up.

CONCLUSIONS

This is the first study to assess the effectiveness of CR-CBT in the treatment of obesity. Preliminary indications of treatment success are discussed with respect to study limitations. In light of these results, we recommend further investigation via a randomised control trial (RCT).

LEVEL OF EVIDENCE

Level IV, case series.

Pain intensity, e-cigarette dependence, and cessation-related outcomes: The moderating role of pain-related anxiety

Pain and nicotine dependence are prevalent, co-occurring conditions posited to interact in the manner of a positive feedback loop; however, most research to date has been conducted among tobacco cigarette smokers. Initial evidence suggests that pain is a risk factor for greater e-cigarette dependence, and additional research is needed to examine covariation between pain and e-cigarette use. There is reason to suspect that pain-related anxiety (i.e., the tendency to respond to pain with anxiety or fear) may be associated with greater e-cigarette dependence and difficulty quitting, and that pain intensity and pain-related anxiety may interact to confer greater risk for e-cigarette use. The current study represents the first examination of cross-sectional associations between pain intensity, pain-related anxiety, and e-cigarette dependence, motivation to quit, history of lifetime e-cigarette quit attempts, perceived barriers to cessation, and negative expectancies during abstinence from e-cigarettes. Participants (N = 520 e-cigarette users, 52.1% female, Mage = 34.85) completed an online survey assessing health behaviors. Results indicated that pain-related anxiety was positively associated with e-cigarette dependence and perceived barriers to cessation (ps < 0.05). Pain-related anxiety was found to moderate relations between pain intensity and primary outcomes, such that pain intensity was positively associated with motivation to quit, likelihood of past failed quit attempt, and negative abstinence expectancies among participants who endorsed high (but not moderate or low) levels of pain-related anxiety. Future research would benefit from examining prospective associations between pain-related anxiety, pain intensity, and e-cigarette use/cessation trajectories among individuals with chronic pain.

The relationship between food addiction and patterns of disordered eating with exercise dependence: in amateur endurance athletes

PURPOSE

Examine the prevalence and potential relationships among food addiction (FA)-as measured by Yale Food Addiction Scale 2.0 (YFAS 2.0), eating disorders (ED)-as measured by Eating Disorder Diagnostic Scale (EDDS)-and exercise dependence (EXD)-as measured by Questionnaire to Diagnose Exercise Dependence in Endurance Sports (FESA), for the first time worldwide, in amateur endurance athletes.

METHODS

A total of 1022 German-speaking endurance athletes (44% male, Ø 36 years, Ø BMI 23 kg/m²) replied to an online questionnaire consisting of demographics, related parameters, and the German versions of YFAS 2.0, EDDS, and FESA.

RESULTS

Prevalence of FA, ED, and EXD was 6.2, 6.5, and 30.5%. The probability for FA increases with BMI, thoughts about food and EXD score, and decreases with age and when an ED is present. People with FA and people with ED vs. people with both, FA&ED, differed significantly in this cohort. Strong significant relationships were found between FA and EXD (X² (1) = 15.117, p < 0.001, n = 1022).

CONCLUSIONS

A considerable number of amateur endurance athletes may suffer from FA. The association between FA and EXD is stronger than between ED and EXD, indicating FA as a potentially more relevant subject-than ED-for prevention or therapy in people with EXD. Further studies are needed to investigate parameters and relationships between the possibly involved types of ED, FA, and EXD.

LEVEL OF EVIDENCE

Level III, well-designed cohort analytic study.

Longitudinal Changes in Food Addiction Symptoms and Body Weight among Adults in a Behavioral Weight-Loss Program

Interest in food addiction (FA) has increased, but little is known about its clinical implications or potential treatments. Using secondary analyses from a randomized controlled trial, we evaluated the associations between changes in FA, body weight, and “problem food” consumption during a 22-month behavioral weight-loss program consisting of an initial four-month in-person intervention, 12-month extended-care, and six-month follow-up (n = 182). Food addiction was measured using the Yale Food Addiction Scale. “Problem foods” were identified from the literature and self-reporting. Multilevel modeling was used as the primary method of analysis. We hypothesized that reductions in problem food consumption during the initial treatment phase would be associated with long-term (22-month) FA reductions. As expected, we found that reductions in problem foods were associated with greater initial reductions in FA symptoms; however, they were also associated with a sharper rebound in symptoms over time (p = 0.016), resulting in no significant difference at Month 22 (p = 0.856). Next, we hypothesized that long-term changes in FA would be associated with long-term changes in body weight. Although both FA and weight decreased over time (ps < 0.05), month-to-month changes in FA were not associated with month-to-month changes in weight (p = 0.706). Instead, higher overall FA (i.e., mean scores over the course of the study) were associated with less weight loss (p = 0.008) over time. Finally, we hypothesized that initial reductions in problem food consumption would be associated with long-term reductions in weight, but this relationship was not significant (ps > 0.05). Given the complexity of the findings, more research is needed to identify interventions for long-term changes in FA and to elucidate the associations between problem foods, FA, and weight.