Food addiction and the physical and mental health status of adults with overweight and obesity.

Background: Overweight and obesity now affect more than a third of the world's population. They are strongly associated with somatic diseases, in particular increasing the risk of many metabolic and cardiovascular diseases, but also with mental disorders. In particular, there is a strong association between obesity and depression. As a result, more attention is paid to the neurobiological, behavioural, and psychological mechanisms involved in eating. One of these is food addiction (FA). Research comparing lifestyle elements, physical and mental health problems of excess body weight and individuals with FA is limited and has focused on younger people, mainly students. There is also a lack of studies that relate actual metabolic parameters to FA. To better understand the problem of FA also in older adults, it is important to understand the specific relationships between these variables. Methods: A cross-sectional survey was conducted with 172 adults with overweight and obesity (82% female) aged 23-85 years. The mean age of all subjects was M = 59.97 years (SD = 11.93), the mean BMI was M = 32.05 kg/m2 (SD = 4.84), and the mean body fat was M = 39.12% (SD = 6.48). The following questionnaires were used: Food Frequency Questionnaire-6 (FFQ-6), Global Physical Activity Questionnaire (GPAQ), Three Factor Eating Questionnaire-R18 (TFEQ-R18), Yale Food Addiction Scale 2. 0 (YFAS 2.0), Zung Self-Rating Depression Scale (SDS). Body composition, anthropometry, fasting glucose, lipid profile, and blood pressure were measured. Results: A total of 22.7% of participants with overweight and obesity had symptoms of depression according to the SDS, and 18.6% met the criteria for FA according to YFAS 2.0. FA was statistically significantly more common among people up to 50 years. BMI, body fat mass, diastolic blood pressure and sedentary behaviour were statistically significantly higher in people with FA symptoms. Those who were sedentary for 301-450 min per day were significantly more likely to have depressive symptoms, and those who were sedentary for more than 450 min per day were significantly more likely to have FA symptoms. Conclusions: Our findings complement the current literature on FA, particularly in older adults and metabolic parameters, and suggest further research directions. Although our cross-sectional study design does not allow causal interpretations, increasing physical activity appears to be particularly important in the management of people with overweight or obesity and FA. This may be even more important than for people with depression alone, but future research is needed to explore these relationships further.

Reconsidering the role of depression and common psychiatric disorders as partners in the type 2 diabetes epidemic.

Common psychiatric disorders (CPDs) and depression contribute significantly to the global epidemic of type 2 diabetes (T2D). We postulated a possible pathophysiological mechanism that through Bridge-Symptoms present in depression and CPDs, promotes the establishment of emotional eating, activation of the reward system, onset of overweight and obesity and, ultimately the increased risk of developing T2D. The plausibility of the proposed pathophysiological mechanism is supported by the mechanism of action of drugs such as naltrexone-bupropion currently approved for the treatment of both obesity/overweight with T2D and as separate active pharmaceutical ingredients in drug addiction, but also from initial evidence that is emerging regarding glucagon-like peptide 1 receptor agonists that appear to be effective in the treatment of drug addiction. We hope that our hypothesis may be useful in interpreting the higher prevalence of CPDs and depression in patients with T2D compared with the general population and may help refine the integrated psychiatric-diabetic therapy approach to improve the treatment and or remission of T2D.

Ultra-Processed Foods and Mental Health: Where Do Eating Disorders Fit into the Puzzle?

Ultra-processed foods (UPFs) like pastries, packaged snacks, fast foods, and sweetened beverages have become dominant in the modern food supply and are strongly associated with numerous public health concerns. While the physical health consequences of UPF intake have been well documented (e.g., increased risks of cardiometabolic conditions), less empirical discussion has emphasized the mental health consequences of chronic UPF consumption. Notably, the unique characteristics of UPFs (e.g., artificially high levels of reinforcing ingredients) influence biological processes (e.g., dopamine signaling) in a manner that may contribute to poorer psychological functioning for some individuals. Importantly, gold-standard behavioral lifestyle interventions and treatments specifically for disordered eating do not acknowledge the direct role that UPFs may play in sensitizing reward-related neural functioning, disrupting metabolic responses, and motivating subsequent UPF cravings and intake. The lack of consideration for the influences of UPFs on mental health is particularly problematic given the growing scientific support for the addictive properties of these foods and the utility of ultra-processed food addiction (UPFA) as a novel clinical phenotype endorsed by 14-20% of individuals across international samples. The overarching aim of the present review is to summarize the science of how UPFs may affect mental health, emphasizing contributing biological mechanisms. Specifically, the authors will (1) describe how corporate-sponsored research and financial agendas have contributed to contention and debate about the role of UPFs in health; (2) define UPFs and their nutritional characteristics; (3) review observed associations between UPF intake and mental health conditions, especially with depression; (4) outline the evidence for UPFA; and (5) describe nuanced treatment considerations for comorbid UPFA and eating disorders.

Psychosocial risk and protective factors for youth problem behavior are associated with food addiction in the Generation Z.

Objective: Food Addiction (FA) and other well-known risk behavior as substance misuse tend to co-occur and may share similar risk and protective factors. The aim of this study was to assess the association between the diagnosis/severity of FA and psychosocial domains typically related to risk behavior syndrome in a large, nationally representative community sample of Generation Z underage Italian students. Method: The sample consisted of 8,755 students (3,623 from middle schools, 5,132 from high schools). A short version of the Yale Food Addiction Scale 2.0 was administered to evaluate FA. Risk and protective factors related to demographic, personality, behavior, and family variables were examined. Stepwise multivariate logistic and linear regressions were conducted. Results: The prevalence of FA was 30.8%. Female gender, social anxiety and depression symptoms, social withdrawal risk, Internet gaming disorder, social media addiction, current substance use, social challenge engagement and experienced doxing boosted the chance of FA diagnosis, whereas eating fruit and vegetables, playing competitive sports and an average sleep duration of 7-8 h per night reduced these odds. FA severity was significantly and positively associated with trait impulsiveness, social anxiety and depressive symptoms, risk of social withdrawal, recent substance use, social media, and gaming addiction, doxing suffered and risky social challenges participation. Negative associations between the severity of FA and fruit and vegetable diet habits were found. Conclusion: Our findings confirm that FA is widespread among Italian adolescents. The associations between the diagnosis and severity of FA and psychosocial risk factors for health, including, addictive and deviant behaviors related to digital misuse, suggest its belonging to the risk behavior constellation. Health promotion schemes based on a multicomponent strategy of intervention should consider the inclusion of FA and its psychosocial correlates.

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.

A novel weight suppression score associates with distinct eating disorder and ultra-processed food symptoms compared to the traditional weight suppression measure among adults seeking outpatient nutrition counseling.

BACKGROUND: Weight suppression has been defined as diet-induced weight loss, traditionally operationalized as the difference between one's highest and current weight. This concept has been studied in the context of eating disorders, but its value in predicting treatment outcomes has been inconsistent, which may be partially attributed to its calculation. METHOD: The current study operationalizes a novel weight suppression score, reflecting the midpoint between the lowest and highest adult weights among adults (N = 287, ages 21-75, 73.9% women) seeking outpatient treatment for disordered eating. This report compared the traditional weight suppression calculation to the novel weight suppression score in a simulated dataset to model their differential distributions. Next, we analyzed shared and distinct clinical correlates of traditional weight suppression versus the novel weight suppression score using clinical intake data. RESULTS: The novel weight suppression score was significantly associated with meeting criteria for both eating disorders and ultra-processed food addiction and was more sensitive to detecting clinically relevant eating disorder symptomatology. However, the novel weight suppression score (vs. traditional weight suppression) was associated with fewer ultra-processed food addiction symptoms. CONCLUSION: The novel weight suppression score may be particularly relevant for those with eating disorders and ultra-processed food addiction, with more relevance to individual eating disorder compared to ultra-processed food addiction symptoms. Consideration of the novel weight suppression score in future research on eating behaviors should extend beyond just those with diagnosed eating disorders.

Dismantling the myth of "all foods fit" in eating disorder treatment.

We call for a reevaluation of the long-standing dogmatic nutritional principle that "all foods fit" for all cases of eating disorders (EDs) and its corollary, "there are no bad foods" (for anyone ever) during ED treatment. Based on accumulated scientific research, we challenge these ideologies as outdated, confusing, and potentially harmful to many patients. We review the evidence that indicates the folly of these assumptions and show there are a variety of exceptions to these rules, including (1) food allergies, sensitivities, and intolerances, (2) religious and spiritual preferences or doctrines, and (3) the ubiquitous emergence and widespread availability of ultra-processed foods leading to the potential development of addiction-like eating and a higher prevalence of various medical and psychiatric comorbidities, as well as higher mortality. This evidence supports a nutritional psychiatry approach that should be integrated into (rather than dissociated from) ED treatment research and practice.

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.

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.

Brazilian Version of the Yale Food Addiction Scale for Individuals with Severe Obesity.

PURPOSE: Adapting and validating the Portuguese version of Br-YFAS 2.0-Obes to allow it to be used by the Brazilian candidates for bariatric surgery. MATERIALS AND METHODS: This study included 329 individuals with body mass indexes (BMI) ≥ 30 kg/m2, candidates for bariatric surgery at a reference hospital in Brazil. They were given a questionnaire that identified sociodemographic data, and the YFAS 2.0 scale, Portuguese version (BR-YFAS2.0-Obes), was applied to assess their food dependence levels. The Food Craving Questionnaire - Trait: The FCQ-T-reduced was subsequently used for a correlation analysis. RESULTS: The patients' average BMI was 41.6 ± 8.8 kg/m2. Br-YFAS2.0-Obes presented an average of 4.9 ± 3.1 for the FA diagnostic criteria. The resulting values of the Comparative Fit Index, Tucker Lewis Index, and Standardized Root Mean Square Residual were 0.990, 0.986, and 0.074, respectively. The internal consistency analysis of the 11 domains presented a Kuder-Richardson α of 0.82. The convergent validity, obtained through an analysis of the Pearson correlation coefficient, was r = 0.43 (p < 0.001). It was found that an increase in the number of Br-YFAS 2.0-Obes symptoms is associated with an increase in the FCQ-T-r mean. CONCLUSION: Much like the YFAS 2.0 in other languages, the BR-YFAS 2.0-Obes presented adequate convergent validity, reliability, and one-factor structure results, which makes it suitable for Brazilian candidates for bariatric surgery or any individual who is within BMI > = 30 kg/m2.

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 Association between Grazing and Food Addiction: The Italian Version of the Repetitive Eating Questionnaire (Rep(Eat)-Q) and Its Relationships with Food Addiction Criteria.

BACKGROUND: Among the dysfunctional eating behaviors associated with excessive food intake, a construct that is gaining increasing attention is grazing-the constant, continuous, compulsive, and repetitive consumption of small/moderate amounts of food. Furthermore, in some cases, grazing seems to indicate a dependence on food and/or eating. Currently, the Repetitive Eating Questionnaire (Rep(Eat)-Q) appears to be the only questionnaire that comprehensively measures grazing, including its repetitive and compulsive eating component. Therefore, in a sample of individuals with severe obesity, the objective of this study was twofold: (A) to evaluate the psychometric properties of the Italian version of the Rep(Eat)-Q, and (B) to analyze the association between grazing and food addiction (FA). METHOD: A cross-sectional research design was used. A total of 402 inpatients with severe obesity (BMI > 35) were recruited. Participants underwent a series of questionnaires to investigate structural validity and convergent validity and association with FA criteria. RESULTS: The factorial structure of the Rep(Eat)-Q is robust and showed fit indexes: CFI = 0.973; RMSEA = 0.074; 90%CI [0.056-0.091]; and SRMR = 0.029. Also, it exhibited good internal consistency and convergent validity. Furthermore, logistic regression analysis highlights a specific association between certain FA criteria and grazing. CONCLUSIONS: The Rep(Eat)-Q can be considered to be a concise, robust, reliable, and statistically sound tool to assess repetitive eating, specifically grazing. Its strong psychometric properties offer significant advantages for both research and clinical applications. Furthermore, in a sample of individuals with severe obesity, the results suggest that individuals with problematic grazing exhibit a typical behavioral profile of subjects with FA, indicating that FA can manifest through problematic grazing as well.

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.

Factor Structure, Reliability, and Convergent Validity of an Ecological Momentary Assessment Binge-Eating Symptoms Scale.

Ecological momentary assessment (EMA) of binge-eating symptoms has deepened our understanding of eating disorders. However, there has been a lack of attention on the psychometrics of EMA binge-eating symptom measures. This paper focused on evaluating the psychometric properties of a four-item binge-eating symptom measure, including multilevel factor structure, reliability, and convergent validity. Forty-nine adults with binge-eating disorder and/or food addiction completed baseline questionnaires and a 10-day EMA protocol. During EMA, participants completed assessments of eating episodes, including four binge-eating symptom items. Analyses included multilevel exploratory factor analysis, computation of omega and intraclass correlation coefficients, and multilevel structural equation models of associations between contextual factors and binge-eating symptoms. A one within-subject factor solution fit the data and showed good multilevel reliability and adequate within-subjects variability. EMA binge-eating symptoms were associated with baseline binge-eating measures as well as relevant EMA eating characteristics: including greater unhealthful food and drink intake; higher perceived taste of food; lower likelihood to be planned eating; and lower likelihood of eating to occur at work/school and other locations and greater likelihood to occur at restaurants compared to home. In conclusion, the study findings support the psychometrics of a 4-item one-factor EMA measure of binge-eating symptoms.

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).

Prevalence and clinical phenotypes of adult patients with attention deficit hyperactivity disorder and comorbid behavioral addictions.

Background: Although the correlation between substance use disorder and attention deficit hyperactivity disorder (ADHD) has been largely studied, less is known about the correlation between behavioral addictions and ADHD. Thus, the aim of the present study was to investigate the prevalence of behavioral addictions in a large sample of adult patients with a primary diagnosis of ADHD and to compare the clinical profile of ADHD patients with and without behavioral addictions comorbidity. Methods: 248 consecutive adults newly diagnosed as ADHD patients were assessed through a series of validated scales for gambling disorder, internet, sex, shopping and food addictions. ADHD patients with at least one comorbid behavioral addiction were compared to non-comorbid patients on ADHD symptoms, impulsivity, mood and anxiety symptoms and functional impairment. Results: 58.9% of patients had at least one behavioral addiction comorbidity. Of the whole sample, 31.9% of the patients had a comorbidity with one behavioral addiction while the 27% showed a comorbidity with two or more behavioral addictions. Internet addiction was the most common comorbidity (33.9%) followed by food addiction (28.6%), shopping addiction (19%), sex addiction (12.9%) and gambling disorder (3.6%). ADHD patients with comorbid behavioral addictions showed higher ADHD current and childhood symptoms, higher cognitive and motor impulsivity, higher mood and anxiety symptoms and higher functional impairment. Conclusions: Behavioral addictions are highly frequent in adult ADHD patients. Comorbid patients seem to have a more complex phenotype characterized by more severe ADHD, mood and anxiety symptoms, higher impulsivity levels and greater functional impairment.

Measuring Motivations to Eat Palatable Foods: Adaptation and Psychometric Properties of the Italian Version of the Palatable Eating Motives Scale (PEMS-IT).

BACKGROUND: Gaining knowledge of the various reasons behind people's consumption of highly processed foods has the potential to enhance obesity prevention initiatives and open avenues to tailor treatment approaches for obesity and binge eating at a more personalized level. This contribution aimed to test the psychometric properties and factor structure of the Palatable Eating Motives Scale (PEMS-IT) in a community sample of Italian adults. METHODS: A confirmatory factor analysis was performed to test the factor structure of the Italian version of the PEMS (PEMS-IT) on a total of 616 respondents. Furthermore, the reliability and convergent validity analysis of the tool were evaluated. RESULTS: The analysis confirmed the four-factor structure of PEMS-IT [(YBχ2 (164) = 537.901; p < 0.001, the CFI = 0.918, RMSEA = 0.072; 90%CI [0.065-0.078]; p(RMSEA < 0.05) < 0.001, and SRMR = 0.080] and satisfactory reliability on its subscales (Cronbach's α: 0.745-0.917). Positive correlations were also found with food addiction and binge-eating symptoms, compulsive eating behavior, and uncontrolled and emotional eating. CONCLUSIONS: The PEMS-IT appears to be an instrument with promising psychometric properties and potential applications in clinical settings. However, it also has some limitations, and future studies could focus on improving the semantic content of the elements to increase the overall utility and precision of the instrument.

Exploring sub-threshold food addiction in adult patients with severe obesity: a cross-sectional analysis.

BACKGROUND: Most studies on Food Addiction (FA) used the strict classical diagnosis approach without quantifying sub-threshold symptoms (i.e. uncontrolled/excessive food intake, negative affect, craving, tolerance, withdrawal, and continued use despite harm) nor indicating where they stand on the "three-stage addiction cycle" modeling the transition from substance use to addiction. OBJECTIVES: (1) to estimate the proportion of clinically significant episodes of distress/impairment in severely obese patients without FA, and (2) to assess their associations with FA symptoms at the subthreshold level. METHODS: The modified Yale Food Addiction Scale 2.0 (mYFAS 2.0) assesses 11 symptoms (diagnostic criteria) plus clinically significant impairment and distress (clinical significance criterion). We used this tool to diagnose FA (≥ 2 criteria plus clinical significance) in adult patients with severe obesity, but included only those below the threshold in the analyses. Demographics, clinical features, and obesity complications were collected. RESULTS: Only 18% of the 192 participants (women n = 148, 77.1%; mean age: 43.0 ± 13.2) reported a total absence of FA symptoms, while one in four reported recurrent episodes of clinically significant distress (24%) or impairment (25%) in social, occupational, or other important areas of functioning. The most common recurrent symptoms were first-stage symptoms (binge/intoxication), while second- (withdrawal/negative affect) and third-stage (preoccupation/anticipation) symptoms affected nearly one patient in five for tolerance and craving, and one in ten for withdrawal. In multivariate analysis, impairment was positively related to withdrawal and tolerance, while distress was positively related to failure in role obligations. CONCLUSION: Many patients with severe obesity experience recurrent episodes of FA symptoms at the subthreshold level. Prospective studies will examine whether these symptoms may play a causal role in symptoms progression toward a full-blown FA and obesity outcomes.

Investigation of Internalized Weight-Related Stigma: Progression to Dietary Addiction and the Role of Stress.

INTRODUCTION: Internalizing weight stigma can lead to the development of dietary addiction, as individuals seek food as a coping mechanism for the emotional distress caused by stigma. The influence of stress exacerbates this dynamic, encouraging the reliance on food as a stress-coping strategy. METHODS: Electronic questionnaires were completed in a special electronic form through an online platform. The Two-Factor Weight Bias Internalization Scale (WBIS-2F), the Yale Food Addiction Scale (YFAS), the Depression Anxiety Stress Scale-21 (DASS-21), Positive and Negative Affect Schedule (PANAS), the Life Orientation Test (LOT), the Brief Resilience Scale (BRS) were used at this study to examine the prevalence of Internal Weight Stigma (IWS) among adults in Greece, evaluate the degrees of stress/anxiety, food addiction, mental resilience, emotions, and positive life perspectives within this group, and explore the correlations between stress/anxiety, mental resilience, optimistic life attitudes, and both IWS and food addiction. RESULTS: 376 participants completed the questionnaire. The average BMI of the participants was 26.3 kg/m2 (SD = 5.9 kg/m2). Almost half of the participants (46.8%) fell within the normal weight range (18.5 ≤ BMI ≤ 24.9), while 28.2% were classified as overweight and 21.0% as obese. Interestingly, a significant majority (63.1%) perceived themselves as heavier than the normal weight range suggests. Most participants demonstrated typical levels of depression, anxiety, and stress, with percentages of 67.3%, 64.9%, and 71.3%, respectively. Resilience exhibited positive associations with optimism and positive emotions while displaying negative connections with depression, anxiety, stress, and negative emotions. Additionally, individuals with greater optimism reported fewer symptoms of despair, anxiety, and stress. CONCLUSION: The research highlights the intricate dimensions of mental well-being, emphasizing the need for a holistic comprehension encompassing demographic, psychological, and societal factors. The results indicate potential strategies for intervention to boost resilience, and optimism, and tackle issues such as food addiction, underscoring the significance of fostering a positive body image and self-esteem.