Gut microbiota signatures of vulnerability to food addiction in mice and humans.

OBJECTIVE: Food addiction is a multifactorial disorder characterised by a loss of control over food intake that may promote obesity and alter gut microbiota composition. We have investigated the potential involvement of the gut microbiota in the mechanisms underlying food addiction. DESIGN: We used the Yale Food Addiction Scale (YFAS) 2.0 criteria to classify extreme food addiction in mouse and human subpopulations to identify gut microbiota signatures associated with vulnerability to this disorder. RESULTS: Both animal and human cohorts showed important similarities in the gut microbiota signatures linked to food addiction. The signatures suggested possible non-beneficial effects of bacteria belonging to the Proteobacteria phylum and potential protective effects of Actinobacteria against the development of food addiction in both cohorts of humans and mice. A decreased relative abundance of the species Blautia wexlerae was observed in addicted humans and of Blautia genus in addicted mice. Administration of the non-digestible carbohydrates, lactulose and rhamnose, known to favour Blautia growth, led to increased relative abundance of Blautia in mice faeces in parallel with dramatic improvements in food addiction. A similar improvement was revealed after oral administration of Blautia wexlerae as a beneficial microbe. CONCLUSION: By understanding the crosstalk between this behavioural alteration and gut microbiota, these findings constitute a step forward to future treatments for food addiction and related eating disorders.

Current perspectives on brain circuits involved in food addiction-like behaviors.

There is an emerging view that the increased availability of energy-dense foods in our society is contributing to excessive food consumption which could lead to food addiction-like behavior. Particularly, compulsive eating patterns are predominant in people suffering from eating disorders (binge-eating disorder, bulimia and anorexia nervosa) and obesity. Phenotypically, the behavioral pattern exhibits a close resemblance to individuals suffering from other forms of addiction (drug, sex, gambling). Growing body of evidence in neuroscience research is showing that excessive consumption of energy-dense foods alters the brain circuits implicated in reward, decision-making, control, habit formation, and emotions that are central to drug addiction. Here, we review the current understanding of the circuits of food addiction-like behaviors and highlight the future possibility of exploring those circuits to combat obesity and eating disorders.

Type 2 diabetes mellitus is associated with food addiction in Brazilian women living in poverty.

Food addiction (FA) has been widely investigated. For the first time, two studies reported its association with type 2 diabetes mellitus (DM2) in the general population and populations with mental disorders and undergoing bariatric surgery. However, the relationship between FA and DM2 needs to be better explored in different social contexts and population groups. Given this, the present study aims to evaluate whether DM2 diagnosis is associated with FA diagnosis in women living in poverty. This is a cross-sectional, population-based study conducted in a Brazilian capital city. FA was assessed by the modified Yale Food Addiction Scale (mYFAS) 2.0, and DM2 diagnosis was assessed by self-reporting of previous medical diagnosis. The association was assessed by multivariable Poisson regression with robust variance estimation adjusted for age, poverty situation, race/skin colour, physical activity and BMI. A total of 1878 women were included, of whom 15·1 % had FA and 3·2 % had a medical diagnosis of DM2. In the multivariable analysis, the medical diagnosis of DM2 was associated with FA (prevalence ratio, PR: 2·18; 95 % CI (1·26, 3·76)). The DM2 diagnosis was also identified to be associated with role interference (PR: 1·93; 95 % CI (1·01, 3·67)) symptom of FA. In conclusion, a positive association between FA and DM2 in women living in poverty was observed, information that adds to the current evidence already available in the literature, pointing to a new line of research and integrated care.

Evaluation of night eating syndrome and food addiction in esports players.

PURPOSE: Esports players' training takes long periods and they sit for a long time during competitions, which increases their risk of obesity and urges them to develop inappropriate eating behaviors. In this study, we aimed to investigate the night-eating syndrome and food addiction in esports players. METHODS: This cross-sectional study was conducted with 248 esports players who were members of a university's esports community. The study data were collected using an online questionnaire consisting of the descriptive information form, Night Eating Questionnaire, and Yale Food Addiction Scale. RESULTS: The mean age of the sports players participating in the study was 22.19 ± 5.97 years. Of them, 55.6% had a normal body weight, 13.4% were obese, 54.4% played esports for 3 years or more, 13.3% experienced night eating syndrome, and 21.4% experienced food addiction. While the weekly duration of playing esports and skipping meals were associated with night eating syndrome, the weekly duration of playing esports and smoking were associated with food addiction (p < 0.05). Additionally, although there was no statistically significant difference, the risk of food addiction was 2.12 times higher in those with poor perceived sleep quality. CONCLUSION: We observed that night eating syndrome was very common in esports players and that these individuals were at risk in terms of food addiction. Since esports has a more sedentary structure than traditional sports, we suggest that esports players should be evaluated in terms of their unhealthy eating behaviors and risk of eating disorders.

The qualitative evaluation of food addiction across the lifespan.

Although it remains controversial, food addiction (FA) research has expanded substantially and empirical evidence for FA is growing. While quantitative studies have explored the prevalence and correlates of FA during childhood and adolescence, little is known about the perceived lived experience of FA across the lifespan, nor how experiences and perceptions of FA may change over time. For this study, 16 participants who met symptom threshold criteria for FA on the Yale Food Addiction Scale 2.0 completed in-depth, semi-structured qualitative interviews focused on their perceptions of the development of FA overtime, and perceived risk and protective factors. Thematic analysis was used to develop themes about the lived experience of FA in childhood, adolescence, and adulthood. Overall, highly palatable foods were viewed as the most problematic, while minimally processed foods were less associated with impairment and distress. Themes in childhood included a strong desire for highly processed foods and the perception that parental control over food choices could be either protective or risky for the later development of FA depending on which foods were available at home. In adolescence and young adulthood, increasing autonomy over food choices and the high availability of highly processed foods in the college environment were viewed as risk factors. Additionally, weight gain was a prominent theme. Finally, adulthood was characterized by more severe manifestations of FA, and the stress of adult responsibilities (e.g., work, parenting) contributed to this perception. This research sets the stage for future quantitative studies to explore these novel findings at the population level.

Independent associations of food addiction and binge eating measures with real-time eating behaviors and contextual factors: An exploratory ecological momentary assessment study.

Food addiction (FA) is a concept centered around the addictive potential of highly palatable processed foods, though there is debate over the discriminative validity of FA as a distinct construct from binge-eating symptomatology. This study explored how trait measures of FA and binge-eating symptoms independently and interactively predicted eating behaviors and posited correlates of FA and binge eating measured via ecological momentary assessment (EMA). Adult participants (N = 49) who met the criteria for FA and/or binge-eating disorder completed baseline measures of FA (Yale Food Addiction Scale [YFAS 2.0]) and binge-eating symptoms (Eating Pathology Symptom Inventory [EPSI] binge eating scale) followed by a 10-day EMA protocol. Generalized linear mixed models examined the independent effects of YFAS 2.0, EPSI, and their interaction predicting EMA outcomes. Higher YFAS 2.0 symptom count scores were uniquely related to greater EMA-measured overeating, loss of control eating, negative and positive affect, and impulsivity when controlling for EPSI scores. Conversely, higher EPSI scores were uniquely related to greater EMA-measured eagerness and urge to eat, and expectancies that eating would improve mood. No interaction effects were significant. These results highlight potential distinctions between phenomena captured by FA and other measures of binge eating, in that FA symptoms may be a marker of heightened binge-eating severity, emotional arousal, and impulsivity.

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.

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.

Dietary and quality-of-life outcomes of the FoodFix intervention for addictive eating: a short report.

BACKGROUND: Interest in addictive eating continues to grow from both a research and clinical perspective. To date, dietary assessment alongside food addiction status is limited, with management options for addictive eating behaviours variable, given the overlap with myriad conditions. The aim of this study was to report the dietary intake and quality-of-life outcomes from a personality-targeted motivational interviewing intervention delivered by dietitians using telehealth. METHODS: The study was conducted in adults exceeding their healthy-weight range with symptoms of addictive eating, as defined by the Yale Food Addiction Scale. The 52 participants were randomised to either intervention or control, with 49 participants commencing the intervention. Individuals participated in the 3-month, three-session FoodFix interventions, with dietary outcomes assessed by the Australian Eating Survey and quality of life assessed using the SF-36 at baseline and 3 months. RESULTS: There were small-to-moderate effect sizes, specifically in the intervention group for decreased added sugar intake, increased protein intake, increased meat quality and increased vegetable servings per day. Six out of eight quality-of-life domains had small-to-moderate effect sizes. CONCLUSIONS: This intervention has highlighted the need for further research in larger sample sizes to assess dietary behaviour change by those who self-report addictive eating.

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.

Momentary mechanisms of binge-eating symptoms using ecological momentary assessment: The moderating role of food addiction.

OBJECTIVE: Food addiction (FA) shows phenotypic and diagnostic overlap with eating disorders characterised by binge eating, though it is unknown how momentary processes driving binge-eating symptoms differ by FA. The present study examined the possible moderating influence of FA severity on momentary mechanisms underlying binge-eating symptomatology using ecological momentary assessment (EMA). METHOD: Adults (N = 49, mean age = 34.9 ± 12.1, cis-gender female = 77.1%) who met criteria for FA and/or binge-eating disorder completed baseline measures including the Yale Food Addiction Scale (YFAS) followed by a 10-day EMA protocol. Generalised linear mixed models assessed main effects of YFAS, momentary antecedents (affect, impulsivity, food cue exposure, appetite, and eating expectancies) and two-way interactions between YFAS and within-person antecedents. RESULTS: FA severity moderated momentary associations between food cue exposure and subsequent binge-eating symptoms: the association was stronger among participants with lower but not higher YFAS scores. No other interactions were significant. CONCLUSIONS: Some functional associations underlying binge-eating symptoms vary based on individuals' level of FA symptoms. Future research to further understand how observed associations may differ amongst diverse populations and over course of illness may also inform future prevention and interventions.

On the prevalence of 'food addiction' in persons with bulimia nervosa.

A meta-analysis by Praxedes and colleagues published in this journal reports that the prevalence of 'food addiction' as measured with the Yale Food Addiction Scale is lower than 50% in persons with bulimia nervosa and higher in persons with binge eating disorder. However, closely examining the supplementary material of that article reveals that these numbers cannot possibly be correct. Instead, most studies indicate that the prevalence of 'food addiction' is higher than 80% in persons with bulimia nervosa and, thus, higher than in persons with other eating disorders.

Role of Worry in Addiction: Implication of Metacognitive Beliefs and Type 2 Worry.

INTRODUCTION: According to the self-medication hypothesis, worriers use substances to cope with their symptoms; however, some published results have challenged this hypothesis. The aim of this study is to show if worry increases the risk of SUD when it is negatively appraised by negative metacognitive beliefs. METHOD: We recruited three samples: 68 patients with a severe AUD, 27 patients dependent on eating and 42 control participants. We used the Yale Food Addiction Scale-2, the Metacognitions Questionnaire-65, the UPPS-P Impulsive Behaviour Scale and the Anxiety Thoughts Inventory. RESULTS: We confirmed a direct effect of worries and metaworry on alcohol (AUD) and eating addiction (EA), but our multivariate analyses revealed that metacognitive beliefs and metaworry are the most robust predictors of alcohol and eating addiction. DISCUSSION: We reported substance-related differences in the relationship between worry and addiction. AUD is related to the metacognitive activity set in motion by worries while EA is associated with a maladaptive form of worry (meta-worry) where worries are negatively interpreted.

Validation of the Chilean version of the Yale food addiction scale 2.0 in a non-clinical sample.

AIMS: The aim was to translate and culturally adapt the Yale Food Addiction Scale 2.0 (YFAS 2.0) to the Chilean population, evaluate its psychometric properties in a non-clinical sample, and assess the correlations between symptoms count of food addiction (FA) with demographic and anthropometric variables. METHODS AND PARTICIPANTS: We evaluated 301 participants (59.1% women) with a mean age of 29.7 ± 12.4 years recruited from two universities and two businesses (non-clinical sample). The Chilean YFAS 2.0 was administered, and anthropometric measurements were carried out. The internal consistency of the items was estimated, and factor structure was tested by confirmatory factor analysis. Test-retest reliability was also examined. The correlations between symptoms count of FA and weight, waist circumference (WC), Body Mass Index (BMI), percentage of body fat (BF%), and lean mass were evaluated. RESULTS: The Chilean YFAS 2.0 presented good internal consistency, and confirmatory factor analysis supported the one-factor structure, in accordance with the original version. The ICC indicated excellent test-retest reliability. The prevalence of FA was 10.3%, and the symptom count of FA was 2.1 ± 2.8. A small positive correlation between WC, BMI, and BF % and FA symptom count was found. CONCLUSION: The Chilean YFAS 2.0 may be a useful tool to investigate FA in Chile. Level of evidence Level V, cross-sectional descriptive study.

Brand and addiction: A network analysis of scientific literature.

OBJECTIVE: The paper conducts a network analysis of the fragmented literature on brand and addiction. METHOD: A thematic map, thematic evolution, word cloud, co-citation analysis, and cooperation networks were utilized to identify brand addiction study trends and topics. RESULTS: The data show that marketing and psychiatry have interdisciplinary groupings and multidisciplinary publications. These groups reflect societal changes, particularly the shift from traditional to digital challenges. Fast food addiction is different from alcohol and cigarette addictions due to its ease and extensive marketing. The decline in internet and gambling addiction suggests a shift in priorities. CONCLUSIONS: This research helps researchers, policymakers, and practitioners in addiction prevention and intervention. The study also understands brand addiction and its effects on psychology, psychiatry, and management by providing insights into emerging topics, thematic maps and evolution of studies, collaboration opportunities, geographical distribution of studies, and more.

Validation and assessment of psychometric properties of the Greek Eating Behaviors Assessment for Obesity (GR-EBA-O).

INTRODUCTION: With increasing morbidity and risk of death, obesity has become a serious health problem largely attributable to difficulties in finding proper treatments for related diseases. Many studies show how detecting abnormal eating behaviors could be useful in developing effective clinical treatments. This study aims at validating the Greek version of the Eating Behaviors Assessment for Obesity (EBA-O). METHOD: After a double English/Greek forward/backward translation of the EBA-O, 294 participants completed the Greek version (GR-EBA-O), the Eating Disorder Examination Questionnaire, the Binge Eating Scale, and the Yale Food Addiction Scale. Confirmatory factor analysis (CFA) and construct validity were calculated, and Two-way MANOVA was computed with the factors of GR-EBA-O controlling for sex and BMI categories. RESULTS: CFA confirmed the second-order five factors (i.e., food addiction, night eating, binge eating, sweet eating, and prandial hyperphagia) structure of the original EBA-O with excellent fit indices. GR-EBA-O factors were highly correlated. The GR-EBA-O subscales were also significantly correlated with the remaining measures, demonstrating good concurrent validity. CONCLUSION: The Greek version of the EBA-O has demonstrated sound psychometric properties and appears a reliable and user-friendly tool to identify pathological eating behaviors in obesity. LEVEL OF EVIDENCE: V, descriptive research.

Downloading appetite? Investigating the role of parasocial relationship with favorite social media food influencer in followers' disordered eating behaviors.

PURPOSE: Although a number of investigations have been carried out on the marketing outcomes of parasocial relationships (PSR) with food influencers on social media, little attention has been paid to the potential contribution of these one-sided emotional bonds to followers' eating attitudes and habits. Drawing on the Parasocial Theory, the role of parasocial attachment with food influencers was investigated in predicting eating disorders, food addiction, and grazing. To increase the accuracy of PSR measurement, a brief self-report scale was developed to gauge social media users' feelings of mutual awareness, attention, and adjustment with their favorite food influencer at a distance through social media. METHODS: Participants were a convenience sample of 405 Iranian social media users (231women; Mage = 28.16, SDage = 9.40), who followed a favorite food influencer on social media. RESULTS: The 8-item Parasocial Relationship with Favorite Food Influencer Scale (PSRFFIS) revealed a unidimensional structure with excellent content and construct validity and internal consistency. Regarding gender differences, men showed stronger parasocial attachment to their favorite food influencers. Adjusting age, gender, and subjective social status as control variables, PSR with favorite food influencers partially contributed to the explanation of eating disorder symptom severity, food addiction, and grazing. CONCLUSION: These findings show that PSR with favorite food influencers appears to be associated with followers' craving for food, which, in turn, may contribute to maladaptive eating habits. This highlights media-related factors, such as PSR with food influencers, as potential drivers of dysfunctional eating habits in the digital age, particularly in countries like Iran where disordered eating is prevalent. LEVEL OF EVIDENCE: Level V-based on cross-sectional data (correlational study; scale development).

[Anorexia nervosa: An addiction? Application of the addiction model to eating disorders. A narrative commented review]. / L'anorexie mentale : une addiction ? Application du modèle addictologique aux troubles du comportement alimentaire. Une revue narrative commentée.

OBJECTIVES: Addiction offers a framework for the understanding of eating disorders, particularly those characterized by hyperphagia, with growing interest in food addiction. However, the application of the addiction model to anorexia nervosa remains more controversial. In this commented narrative review, we examine and discuss the addictive features of anorexia nervosa. METHODS: Commented narrative review of the literature. RESULTS: Anorexia nervosa could be the consequence of the loss of control of several objects of positive reinforcement: food restriction, physical hyperactivity, and food itself. Craving has been little studied in the field of eating disorders. When investigated, studies mainly focus on food cravings and tend to highlight food cravings that are inversely correlated with the restrictive nature of the disorder. This would thus be less found in anorexia nervosa, in which it is nevertheless reported. The existence of a pre-existing food craving, or its appearance secondary to food restriction, is currently under discussion. In the meantime, the question of a craving for food restriction, underpinned by the gratifying effect of fasting, is raised. CONCLUSIONS: The management of eating disorders has its place within the addiction care sectors. An integrative approach should be favored, for anorexia nervosa, combining, on the one hand, classic nutritional care, and, on the other hand, care within the framework of addiction treatment. Finally, in people with an eating disorder, the search for an addiction to food, food restriction and physical activity, including a systematic assessment of craving, should be systematized.

[Food addictions]. / Les addictions alimentaires.

Addictions are invading our daily lives. Eating and body image have become major preoccupations. Anorexia nervosa and bulimia nervosa are eating disorders with a high risk of chronicity and death. Curing them and preventing their recurrence requires a solid therapeutic alliance that aims to work around individual symptoms. The low self-esteem associated with these disorders may contribute to their maintenance, despite their negative impact on quality of life. One of the challenges of treating these disorders is to help patients find the motivation to seek treatment.

Role of CB2 cannabinoid receptor in the development of food addiction in male mice.

The endocannabinoid system plays an important role in multiple behavioral responses due to its wide distribution in the central nervous system. The cannabinoid CB1 receptor was associated to the loss of behavioral control over food intake occurring during food addiction. The cannabinoid CB2 receptor (CB2R) is expressed in brain areas canonically associated with addictive-like behavior and was linked to drug-addictive properties. In this study, we evaluated for the first time the specific role of the CB2R in food addiction by using a well-validated operant mouse model of long-term training to obtain highly palatable food. We have compared in this model the behavioral responses of wild-type mice, mutant mice constitutively lacking CB2R, and transgenic mice overexpressing CB2R. The lack of CB2R constitutes a protective factor for the development of food addiction and the impulsive and depressive-like behavior associated. In contrast, the overexpression of CB2R induces a vulnerable phenotype toward food addiction after long-term exposure to highly palatable chocolate pellets. Relevant transcriptomic changes were associated to resilience and vulnerability to food addiction depending on the genotype, which provides a mechanistic explanation for these behavioral changes. Therefore, CB2R may constitute a potential therapeutic target for the loss of eating control and the comorbid emotional effects associated to food addiction.