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.

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.

Early life adversity impacts alterations in brain structure and food addiction in individuals with high BMI.

Obesity and food addiction are associated with distinct brain signatures related to reward processing, and early life adversity (ELA) also increases alterations in these same reward regions. However, the neural mechanisms underlying the effect of early life adversity on food addiction are unknown. Therefore, the aim of this study was to examine the interactions between ELA, food addiction, and brain morphometry in individuals with obesity. 114 participants with high body mass index (BMI) underwent structural MRIs, and completed several questionnaires (e.g., Yale Food Addiction Scale (YFAS), Brief Resilience Scale (BRS), Early Traumatic Inventory (ETI)). Freesurfer 6 was applied to generate the morphometry of brain regions. A multivariate pattern analysis was used to derive brain morphometry patterns associated with food addiction. General linear modeling and mediation analyses were conducted to examine the effects of ELA and resilience on food addiction in individuals with obesity. Statistical significance was determined at a level of p < 0.05. High levels of ELA showed a strong association between reward control brain signatures and food addiction (p = 0.03). Resilience positively mediated the effect of ELA on food addiction (B = 0.02, p = 0.038). Our findings suggest that food addiction is associated with brain signatures in motivation and reward processing regions indicative of dopaminergic dysregulation and inhibition of cognitive control regions. These mechanistic variabilities along with early life adversity suggest increased vulnerability to develop food addiction and obesity in adulthood, which can buffer by the neuroprotective effects of resilience, highlighting the value of incorporating cognitive appraisal into obesity therapeutic regimens.

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.

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.

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.

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.

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.

Physiopathology and Treatment of Obesity and Overweight: A Proposal for a New Anorectic.

The "new epidemic," as WHO calls obesity, is caused by overeating, which, having exceeded the body's actual needs, accumulates in the form of health-damaging fat deposits. Moving more and eating less is the main remedy, but eating belongs to vital instincts, which are beyond the control of reason. In this sense, eating is different from drinking and breathing because without food it is possible to survive for a few weeks, without water for a few days, without oxygen for a few minutes. The first part of this article provides an overview of obesity and its treatment, focusing on the new anorectic anticipated in the title. The second part focuses on compulsive obesity, typically represented by constitutional obesity and food addiction. The article concludes with a discussion of the pharmacological treatment of compulsive diseases, to which some forms of obesity belong.

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.

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.

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).

[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.

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.

Assessing Discriminant Validity through Structural Equation Modeling: The Case of Eating Compulsivity.

Food addiction (FA) and disordered eating behaviors related to obesity are gaining attention in clinical and research fields. The modified Yale Food Addiction Scale 2.0 (mYFAS2.0) is the gold standard questionnaire to measure FA, while another tool is the Measure of Eating Compulsivity 10 (MEC10). Discriminant validity is present when two measures of similar but distinct constructs show a correlation that is low enough for the factors to be regarded as distinct. However, the discriminant validity of these measures has never been tested. Through a cross-sectional study design, 717 inpatients (females: 56.20%, age: 53.681 ± 12.74) with severe obesity completed the MEC10, Binge Eating Scale (BES), and mYFAS2.0. A structural equation model (SEM) was fitted, freely estimating latent correlations with 95% confidence intervals (95% CI). The results confirmed the scales' excellent psychometric properties. Importantly, latent factor correlations between MEC10 and mYFAS2.0 (est = 0.783, 95% CI [0.76, 0.80]) supported their discriminant validity. In contrast, the latent correlation of MEC10 and BES (est = 0.86, 95% CI [0.84, 0.87]) exceeded the recommended thresholds, indicating the absence of discriminant validity and suggesting a potential overlap, consistent with previous evidence. In conclusion, MEC10 demonstrates excellent psychometric properties but is more a measure of BED and not FA.

The relationship between chronotype and food addiction: Serial mediation of social jetlag and psychological pain.

This study evaluates how food addiction is related to chronotype, social jetlag, and psychological pain. Of the participants (n = 1,035 university students), 16.6% had a morning chronotype, 25.1% had an evening chronotype, and 25.1% were clinically addicted to eating. The mean sleep durations for participants were 7.41 ± 2.18 h and 8.95 ± 3.0 h on weekdays and weekends, respectively. The mean misalignment time for social jetlag was 1.45 ± 1.5 h. Food addiction, psychological pain, and social jetlag levels were high among participants with the evening chronotype. The risk factors for food addiction included being female, having an evening chronotype, and having high body mass index levels and psychological pain. The total indirect effect of psychological pain and social jetlag on the relationship between chronotype and food addiction was 20.6%. However, the social jetlag effect is relatively minor compared to psychological pain. The significant conclusions of this study are as follows. Clinical food addiction is prevalent among students, and a strong direct correlation between chronotype and food addiction was observed. The study emphasizes the importance of being aware of chronotype and mental status in establishing a healthy diet and lifestyle.

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.

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.

Using latent class analysis to identify different clinical profiles according to food addiction symptoms in obesity with and without binge eating disorder.

Background and aims: Existing research suggests that food addiction (FA) is associated with binge eating disorder (BED) and obesity, but the clinical significance of this relationship remains unclear. This study aims to investigate the different clinical profiles of FA symptoms among patients who have obesity with/without BED using latent class analysis (LCA). Methods: 307 patients (n = 152 obesity and BED, n = 155 obesity without BED) completed a battery of self-report measures investigating eating psychopathology, depression, emotional dysregulation, alexithymia, schema domains, and FA. LCA and ANOVAs were conducted to identify profiles according to FA symptoms and examine differences between classes. Results: LCA identified five meaningful classes labeled as the "non-addicted" (40.4%), the "attempters" (20.2%), the "interpersonal problems" (7.2%), the "high-functioning addicted" (19.5%) and the "fully addicted" (12.7%) classes. Patients with BED and obesity appeared overrepresented in the "high-functioning addicted" and "fully addicted" classes; conversely, patients with obesity without BED were most frequently included in the "non-addicted" class. The most significant differences between the "high-functioning addicted" and "fully addicted" classes versus the "non-addicted" class regarded heightened severity of eating and general psychopathology. Discussion and conclusions: The results bring to light distinct clinical profiles based on FA symptoms. Notably, the "high-functioning addicted" class is particularly intriguing as its members demonstrate physical symptoms of FA (i.e., tolerance and withdrawal) and psychological ones (i.e., craving and consequences) but are not as functionally impaired as the "fully addicted" class. Identifying different profiles according to FA symptoms holds potential value in providing tailored and timely interventions.