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.

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 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.

A three-arm randomised controlled trial of a telehealth intervention targeting improvement in addictive eating for Australian adults (the TRACE program).

There is a substantial research base for addictive eating with development of interventions. The current 3-arm RCT aimed to investigate the efficacy of the TRACE (Targeted Research for Addictive and Compulsive Eating) program to decrease addictive eating symptoms and improve mental health. Participants (18-85 yrs) endorsing ≥3 addictive eating symptoms were randomly allocated to 1) active intervention, 2) passive intervention, or 3) control group. Primary outcome was change in addictive eating symptoms 3-months post-baseline measured by the Yale Food Addiction Scale. Depression, anxiety and stress were also assessed. A total of 175 individuals were randomised. Using Linear Mixed Models, from baseline to 3-months, there was significant improvement in symptom scores in all groups with mean decrease of 4.7 (95% CI: -5.8, -3.6; p < 0.001), 3.8 (95% CI: -5.2, -2.4; p < 0.001) and 1.5 (95% CI: -2.6, -0.4; p = 0.01) respectively. Compared with the control group, participants in the active intervention were five times more likely to achieve a clinically significant change in symptom scores. There was a significant reduction in depression scores in the active and passive intervention groups, but not control group [-2.9 (95% CI: -4.5, -1.3); -2.3 (95% CI: -4.3, -0.3); 0.5 (95% CI: -1.1, 2.1), respectively]; a significant reduction in stress scores within the active group, but not passive intervention or control groups [-1.3 (95% CI: -2.2, -0.5); -1.0 (95% CI: -2.1, 0.1); 0.4 (95% CI: -0.5, 1.2), respectively]; and the reduction in anxiety scores over time was similar for all groups. A dietitian-led telehealth intervention for addictive eating in adults was more effective than a passive or control condition in reducing addictive eating scores from baseline to 6 months. Trial registration: Australia New Zealand Clinical Trial Registry ACTRN12621001079831.

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.

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 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.

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.

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.

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.

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 cravings after bariatric surgery: comparing laparoscopic sleeve gastrectomy and Roux-en-Y gastric bypass.

BACKGROUND: Research suggests that food choices, preferences, and tastes change after bariatric surgery, but evidence regarding changes in food cravings is mixed. OBJECTIVES: The primary aim of this cohort study was to compare food cravings during the first year following bariatric surgery in patients who had undergone sleeve gastrectomy (SG) versus Roux-en-Y gastric bypass (RYGB). SETTING: Integrated multispecialty health system, United States. METHODS: Patients aged ≥ 18 years seen between May 2017 and July 2019, provided informed consent, completed the Food Craving Inventory (FCI), and had ≥ 1 year of follow-up after undergoing primary SG or RYGB were included in the study. Secondary data captured included psychological and behavioral measures. Preoperative and postoperative (3, 6, 9, and 12 months) FCI scores of patients who underwent SG and RYGB were compared. RESULTS: Some attrition occurred postoperatively (N = 187 at baseline, 141 at 3 months, 108 at 6 months, 89 at 9 months, and 84 at 12 months). No significant relationship between pre- or postoperative food cravings and surgery type was found except on the carbohydrate subscale. Patients with higher preoperative food addiction symptoms were not more likely to experience an earlier reoccurrence of food cravings during the first 12 months after surgery. Likewise, patients with higher levels of preoperative depression and anxiety were not more likely to have early reoccurrence of food cravings during the first 12 months after surgery; however, those with higher PHQ9 scores at baseline had uniformly higher food craving scores at all timepoints (pre-surgery, 3 m, 6 m, 9 m, and 12 m). CONCLUSIONS: Results suggest that food cravings in the year after bariatric surgery are equivalent by surgery type and do not appear to be related to preoperative psychological factors or eating behaviors. LEVEL OF EVIDENCE: Level III: Evidence obtained from well-designed cohort.

The potential effect of α7 nicotinic receptors modulation on palatable food-induced dependence-like behaviors.

Background: The recent global increase in obesity rates, coupled with excessive palatable food (PF) consumption, has become a serious societal concern. Literature indicates that rewarding PF, especially upon cessation, can lead to overeating, binge eating, and compulsive eating, potentially resulting in obesity. Challenges in dietary paradigms, alongside limitations in approved treatments for eating disorders and anti-obesity medications, underscore the need to explore novel targets. In this context, α7nAChR (alpha-7 nicotinic acetylcholine receptor) may serve as a promising therapeutic target in combating food dependence and obesity. The present study aims to assess the role of α7nAChR in palatable food-induced dependence-like behaviors. Method: The study involved male C57BL/6J mice exposed to three different feeding paradigms over 6 weeks to induce obesity and food addiction. On day 43, palatable food was replaced with standard chow, and the mice received treatments (vehicle, PNU-282987 [α7nAChR agonist], or methyllycaconitine citrate [MLA; α7nAChR antagonist]). Addiction-like behaviors, including craving for palatable food, motivation-effort interaction tests, and compulsive eating-like behavior, were measured during abstinence with and without treatment. Results: The present study shows that chronic intermittent and continuous exposure to palatable food induces craving, motivation, and effort interaction behaviors as well as compulsive eating-like behaviors in palatable food-abstinent mice. Administration of the α7nAChR agonist, PNU-282987, significantly attenuated the craving behavior only in mice continuously fed palatable food (reduced calorie intake from 63.19 % to 48.21 %; p = 0.0053). Also, PNU-282987 suppressed the effort behaviors in either intermittently or continuously fed mice (significant reduction in the Δ number of active events per minute; p-values = 0.038 and 0.0098, respectively). However, it attenuated the compulsive-like eating behavior exclusively in the continuously fed group (p = 0.0433). Active and total interaction efforts were reversed by the MLA. These findings indicate the involvement of α7nAChR in dependence-like behaviors toward palatable food in mice. Conclusion: Our findings demonstrate that dependence-like behaviors toward palatable food can emerge after prolonged exposure. Mice fed on palatable food continuously exhibited more dependence-like behaviors toward palatable food, and activation of α7nAChR signaling attenuated the vulnerability to develop such behaviors.

Understanding food addiction in Post-Bariatric patients.

This study delves into the construct validity of Food Addiction (FA) as evaluated by the modified Yale Food Addiction Scale 2.0 (mYFAS 2.0) within the context of post-bariatric surgery patients in Brazil. Understanding the prevalence, characteristics, and construct validity of FA among individuals who have undergone bariatric surgery is crucial for enhancing patient care and advancing research in this field. Our findings are based on a convenience-based sample of 100 individuals who had undergone bariatric surgery at Hospital Estadual Mário Covas (HEMC) in Brazil. Using mYFAS 2.0, we found that 51% of the participants met the criteria for FA, with 31% classified as severely affected. In our investigation of construct validity, we confirmed a one-dimensional model, in line with prior research using the YFAS and its modified versions. Item Response Theory (IRT) analyses further confirmed the appropriateness of the mYFAS 2.0 items, with all criteria contributing to the latent structure, most exhibiting discrimination values exceeding 0.5, and the majority having values greater than 2. These results provide substantial support for the construct validity of mYFAS 2.0 in our Brazilian subpopulation of post-bariatric surgery patients. Comparative analyses with previous studies revealed a notably higher prevalence of FA in our population, suggesting potential differences between pre- and post-bariatric surgery groups. This study contributes unique insights into the assessment of FA among post-surgery patients and highlights the importance of early detection and intervention in this population. While this study advances our understanding of FA in post-bariatric surgery patients, certain limitations, such as the relatively small sample size and cross-sectional design, warrant consideration. Nevertheless, our findings hold valuable implications for healthcare providers, researchers, and patients in the field of bariatric surgery and FA management. Future research can build upon these foundations to explore long-term FA effects post-surgery and potential interventions to address this issue effectively.

Food addiction behavior in patients with newly-diagnosed type 2 diabetes.

BACKGROUND: The concept of food addiction describes the difficulties of some individuals with regard to food consumption. OBJECTIVE: To determine the frequency of food addiction and its association with body mass index (BMI), calorie consumption and therapeutic control in patients with newly-diagnosed type 2 diabetes mellitus (T2DM). MATERIAL AND METHODS: A total of 1,080 patients with T2DM were included. The degree of metabolic control was determined with the levels of glycated hemoglobin, low-density lipoprotein cholesterol and blood pressure. Daily caloric consumption was estimated with a semi-quantitative questionnaire of food consumption frequency. RESULTS: Nearly all patients showed overweight (40.5 %) and obesity (49.1 %). The frequency of food addiction was 54.2 % (56.9 % in women and 48.9 % in men). Food addiction was associated with BMI (OR = 1.89, p ≤ 0.05), high caloric intake (OR = 1.14, p ≤ 0.05) and glycated hemoglobin > 7 % (OR = 1.43, p ≤ 0.05). CONCLUSIONS: Food addiction is common in patients with overweight/obesity and newly-diagnosed T2DM, and is associated with higher-than-recommended caloric consumption, obesity degree and poor metabolic control.

ANTECEDENTES: El concepto de adicción a la comida describe las dificultades de algunos individuos respecto al consumo de comida. OBJETIVO: Determinar la frecuencia de la adicción a la comida y su asociación con el índice de masa corporal (IMC), consumo de calorías y control terapéutico en pacientes con diabetes mellitus tipo 2 (DMT2) de diagnóstico reciente. MATERIAL Y MÉTODOS: Se incluyeron 1080 pacientes con DMT2. Se determinó el grado de control terapéutico con niveles de hemoglobina glicada, colesterol de baja densidad y presión arterial. El consumo diario de calorías fue estimado con un cuestionario semicuantitativo de frecuencia de consumo de alimentos. RESULTADOS: Casi todos los pacientes mostraron sobrepeso (40.5 %) y obesidad (49.1 %). La frecuencia de adicción a la comida fue de 54.2 % (56.9 % en mujeres y 48.9 % en hombres). La adicción a la comida se asoció a IMC (RM = 1.89, p ≤ 0.05), alto consumo calórico (RM = 1.14, p ≤ 0.05) y hemoglobina glicada > 7 % (RM = 1.43, p ≤ 0.05). CONCLUSIONES: La adicción a la comida es frecuente en pacientes con sobrepeso/obesidad y DMT2 recientemente diagnosticada y se asocia al consumo calórico superior a lo recomendado, grado de obesidad y pobre control terapéutico.

Confirmatory factor analysis and gender invariance of Persian version of the modified Yale food addiction scale (mPYFAS) 2.0: insight from a large scale Iranian sample.

BACKGROUND: The Modified Yale Food Addiction Scale 2.0 (mYFAS 2.0) was developed with the primary objective of evaluating food addiction (FA). The present study aimed to undertake the translation, pilot testing, and evaluation of the psychometric properties of the mYFAS 2.0 within the Persian-speaking population. METHODS: The transcultural adaptation of the mYFAS 2.0 to the Persian language was conducted. Data collection was carried out through an anonymous online questionnaire. Participants completed the Persian versions of the mYFAS 2.0, Binge Eating Scale (BES), Barratt Impulsivity Scale (BIS-11), and Connor-Davidson Resilience Scale (CD-RISC). The assessment encompassed the evaluation of internal consistency reliability, factor structure, as well as convergent and discriminant validity of the aforementioned questionnaires. RESULTS: Confirmatory factor analysis revealed that the single-factor model of the Persian translation of mYFAS 2.0 performed satisfactorily, with comparative fit index (CFI) and Tucker-Lewis index (TLI) values exceeding 0.95, standardized root mean square residual (SRMR) less than or equal to 0.09, and root mean square error of approximation (RMSEA) below 0.03. The internal consistency and composite reliability of the mYFAS 2.0 were favorable in the entire sample, as well as in both male and female groups, with alpha (α) values of 0.83, ordinal alpha (αord) of 0.93, and composite reliability (CR) of 0.86. Additionally, significant relationships were observed between the total score of BES (r = 0.59, p < 0.001), BIS-11 (r = - 0.16, p < 0.001), and CD-RISC (r = 0.22, p < 0.001) with mYFAS 2.0-diagnosed FA presence, severity, and symptom count. CONCLUSIONS: The Persian version of the mYFAS 2.0 exhibited satisfactory psychometric properties.

In this study, researchers developed a Persian version of the Modified Yale Food Addiction Scale 2.0 (mYFAS 2.0) to assess food addiction in Persian-speaking individuals. They translated and tested the scale's reliability and validity through an online survey with 9606 Persian speaking participants. The results showed that the Persian mYFAS 2.0 performed well, with a reliable single-factor model. The internal consistency and reliability were good across the entire sample and in both male and female groups. The relationships between mYFAS 2.0 and other scales measuring binge eating, impulsivity, and resilience were significant. The findings suggest that the Persian version of mYFAS 2.0 is a reliable tool for assessing food addiction in the Persian-speaking population. The study used statistical analyses like confirmatory factor analysis, indicating the scale's robustness. Overall, the psychometric properties of the Persian mYFAS 2.0 were satisfactory, providing a valuable instrument for researchers and healthcare professionals studying and addressing food addiction in this population. The study contributes to cross-cultural research and enhances our understanding of food addiction in diverse linguistic communities.

Case Reports of Binge Eating Patterns in the Recovery Phase of Anorexia Nervosa Patients With and Without Food Addiction.

Food addiction refers to a condition in which individuals exhibit addictive-like behaviors toward food, like those observed in substance abuse. Although still debated, evidence supporting the validity and usefulness of the concept of food addiction is growing. Food addiction is particularly associated with obesity and eating disorders involving binge eating. This study discusses the cases of two adolescent patients who presented with anorexia nervosa. During the recovery phase of anorexia nervosa, binge eating was observed, and the patterns of binge eating significantly differed between patients, with and without food addiction. Therefore, healthcare professionals treating eating disorders should be aware of food addiction and modify their treatment strategies accordingly.

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.