Foods and dietary profiles associated with 'food addiction' in young adults

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.

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.

Co-occurrence of habit-forming risk behaviors and their socio-demographic, health status and lifestyle determinants: a population-based cross-sectional study

BACKGROUND

Although habit-forming risk behaviors frequently co-occur, determinants of concurrent risk behaviors have rarely been investigated. The aim of the present study was to investigate socio-demographic, health status, and lifestyle determinants of single versus concurrent risk behaviors in general-population adults.

METHODS

We analyzed data from 32,622 participants (74.5% female; mean age = 57.9 ± 14.2 years) of the NutriNet-Santé cohort who completed the Alcohol Use Disorders Identification Test, the 12-item Cigarette Dependence Scale, the modified Yale Food Addiction Scale 2.0, and the Internet Addiction Test in 2021-2022. Using established cutoffs, participants were first split into 2 groups (presence versus absence) for each risk variable (alcohol use disorders, nicotine dependence, food addiction, Internet addiction) and were then divided into 3 groups (no risk behavior, 1 risk behavior (reference), and ≥ 2 risk behaviors). The association between socio-demographic, health status, and lifestyle exposures and individual/concurrent risk behaviors were investigated with polytomous logistic regression.

RESULTS

Younger age (Odds Ratio (OR) = 2.04; 95% Confidence Interval (CI: 1.62-2.56), current financial difficulties (OR = 1.29; CI: 1.08-1.54), self-perceived poor health (OR = 1.70; CI: 1.32-2.20), overall poor dietary quality (OR = 2.88; CI: 2.06-4.02), being underweight (OR = 1.46; CI: 1.05-2.04), having obesity (OR = 1.62; CI: 1.31-1.99), lack of affection during childhood (OR = 1.41; CI: 1.18-1.69), and a lifetime prevalence or medication use for a mental disorder (OR = 1.46; CI: 1.24-1.73) were positively associated with having ≥ 2 versus 1 risk behavior (all p < 0.05). The comparison of none versus 1 risk behavior revealed the same determinants in addition to having a higher education, being physically active at work, and being overweight.

CONCLUSIONS

We investigated determinants of concurrent habit-forming risk behaviors among adults in a large, population-based study. The findings could serve as impetus for future research in this domain and ultimately help guide addiction prevention efforts.

Food Addiction and Binge Eating Disorder in Relation to Dietary Patterns and Anthropometric Measurements: A Descriptive-Analytic Cross-Sectional Study in Iranian Adults with Obesity

Obesity is associated with maladaptive eating behaviors, including food addiction (FA) and binge eating disorder (BED). However, the key factors influencing the development of maladaptive eating behaviors remain unknown. Adherence to specified dietary patterns has been suspected of making indirect impacts. This study investigates the association of FA and BED with dietary patterns and anthropometric measurements among 400 Iranian adults (aged 18-60; 66.25% women) living with obesity (body mass index [BMI] ≥ 30 kg/m2). The Binge Eating Scale and Yale Food Addiction Scale were used to measure BED and FA. A validated 147-item semi-quantitative food frequency questionnaire underwent principal component analysis and identified three major dietary patterns: mixed, unhealthy, and healthy dietary pattern. After adjusting for confounders, higher adherence to unhealthy dietary patterns was associated with an increased risk of FA, while higher adherence to healthy dietary patterns was associated with a lower risk of FA. Also, those within obesity class III had a significantly higher risk of FA and BED than those in obesity class I. This study suggests that adherence to an unhealthy dietary pattern may be associated with a higher risk of FA. It also highlights the link between higher BMI and maladaptive eating behaviors.

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.

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

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

Linking drug and food addiction: an overview of the shared neural circuits and behavioral phenotype

Despite a lack of agreement on its definition and inclusion as a specific diagnosable disturbance, the food addiction construct is supported by several neurobiological and behavioral clinical and preclinical findings. Recognizing food addiction is critical to understanding how and why it manifests. In this overview, we focused on those as follows: 1. the hyperpalatable food effects in food addiction development; 2. specific brain regions involved in both food and drug addiction; and 3. animal models highlighting commonalities between substance use disorders and food addiction. Although results collected through animal studies emerged from protocols differing in several ways, they clearly highlight commonalities in behavioral manifestations and neurobiological alterations between substance use disorders and food addiction characteristics. To develop improved food addiction models, this heterogeneity should be acknowledged and embraced so that research can systematically investigate the role of specific variables in the development of the different behavioral features of addiction-like behavior in preclinical models.

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

INTRODUCTION

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

METHODS AND ANALYSIS

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

ETHICS AND DISSEMINATION

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

TRIAL REGISTRATION NUMBER

Australia New Zealand Clinical Trials Registry (ACTRN12621001079831).

Exploration of Perceived Determinants of Disordered Eating Behaviors in People with Mental Illness-A Qualitative Study

Disordered eating behaviors are common in people with a serious mental illness (SMI) such as schizophrenia, bipolar disorder and major depressive disorder. This study employed qualitative exploration to understand the perceived determinants of eating behaviors, in particular those connected to disordered eating patterns, in people with SMI. In total, 28 semi-structured interviews were conducted in a consecutive sample of people with SMI under treatment in local mental health services in Australia (n = 12), Germany (n = 8) and Austria (n = 8) (mean age: 43.3 years, proportion of female participants: 61%, proportion of participants with ICD-10 F2 diagnosis: 57%, proportion of participants with ICD-10 F3 diagnosis: 64%). A thematic analysis approach, the framework method, was applied using MAXQDA 2020. Three main themes of determinants were derived: (i) impacts to daily functioning, (ii) disrupted physical hunger cues and (iii) emotional hunger. For impacts to daily functioning, the following themes emerged: lack of daily structure, time and drive, and difficulty planning ahead. For physical hunger, themes emerged for disrupted hunger and satiety cues, and mindless eating. All motives listed in the Palatable Eating Motives Scale (PEMS), i.e., coping, reward, social and conformity, have been reported by participants to be drivers for their emotional eating behavior. Subsequent reported behaviors were eating too much or too little, binge eating, night eating and food cravings. We conclude that interprofessional approaches should target daily functioning, disrupted physical hunger cues and emotional eating to reduce disordered eating behaviors in people with SMI.

Eating-to-Cope Motives and Uncontrolled Eating as Mediators Between Negative Emotional States and Food Addiction Among Argentinean Young Adults

Negative emotional states (NES; i.e., depression, anxiety and stress) are likely contributors to the development of food addiction (FA). The association between NES and FA symptoms may be mediated by altered eating behaviors or by eating-to-cope motives. This study examined, in a sample of Argentinean young adults, the association between NES and FA symptoms via eating-to-cope motives and three patterns of eating behaviors. We also examined whether the model was invariant across college status. The transition from high school to college is usually associated with increased exposure to stress, which promotes the probability of engaging in altered eating behaviors. A sample of 499 Argentinean young adults (mean age = 24.9 ± 3.51 years) completed a survey that assessed FA symptoms, eating behaviors (i.e., uncontrolled, emotional, and restrained eating), eating-to-cope motives and NES. A path analysis tested the indirect association between NES and FA symptoms via uncontrolled, emotional or restrained eating, or by eating-to-cope. Stress and depression symptoms were indirectly associated with FA symptoms via uncontrolled eating and eating-to-cope motives. The model was invariant across college status. The findings suggest that NES are associated with FA symptoms by increasing uncontrolled eating and eating-to-cope motives. Young adults exhibiting greater depressive or stress symptoms, higher eating-to-cope, or higher uncontrolled eating may be at risk for FA. Future research should examine the significance of this pattern by tailoring interventions to these characteristics.

Dietary intakes among people with vs without food addiction: A systematic review and meta-analysis

BACKGROUND & AIMS

Individuals with food addiction (FA) may experience addictive behaviours like those observed in other substances of abuse, which may affect their dietary intake habits. In fact, previous studies have reported associations between FA and dietary patterns, but this evidence has not been quantitatively summarised before. Therefore, this study aimed to explore differences in dietary intakes among adults with vs without food addiction.

METHODS

A systematic-review and meta-analysis was conducted. Interventional or observational studies evaluating dietary intakes associated with FA that used the Yale Food Addiction Scale (YFAS) were explored. PubMed, WoS and SCOPUS databases were searched up to September 2021, and selected articles were confirmed manually. Potentially eligible studies were checked independently by two researchers. YFAS and dietary habits were obtained from the studies selected by the search protocol. Standardized mean differences were retrieved and random effects meta-analyses were used for those studies reporting quantitative data.

RESULTS

From 162 potentially appropriate studies, 16 studies were finally included, all of which used cross-sectional designs. FA was generally related to higher intakes of total fat, proteins, sugar, and processed/energy-dense foods. The meta-analysis revealed that this association was only statistically significant in overweighted/obese individuals (P < 0.001 in all cases), while in those studies that included the general population (all weight categories), this association was not evident (p = 0.18).

CONCLUSIONS

Being addicted to food was not associated with a higher energy intake in the general population. However, among those with overweight or obesity, FA was associated with higher energy and nutrient consumption. This provides evidence on the influence of addictive behaviours on dietary intake patterns of people with excess body weight and reinforces the concept of food addiction and its influence in the development of obesity.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO registration number CRD42020212866.

Food addiction among university students: The effect of mindful eating

Recent evidence indicated that lifestyle modifications, especially mindful eating, might be effective interventions for treating food addiction (FA). Mindful eating practices have been considered to regulate emotional eating, which is one predictor of FA along with automatic eating behaviors, including emotional, impulsive, and habitual eating. Thus, this cross-sectional study aimed to determine the effect of mindful eating on FA of university students. The research team collected the data with 2133 undergraduate students. The Mindful Eating Questionnaire examined the mindfulness status of the students, and the FA diagnosed by using the YALE Food Addiction Scale. 56.9% of participants were women, with a mean age of 21.5 ± 2.2 and a mean body mass index (BMI) of 22.5 ± 3.8 kg/m². Although no significant differences were observed regarding sex (p > .05), the FA prevalence among men (16.1%) was higher than women. The overall prevalence of FA was 15.3%, which was 1.5 units higher among those with BMI ≥25 kg/m². Also, FA diagnosis was significantly more prevalent among smokers and ex-smokers (p < .01). In addition, participants diagnosed with FA had a significantly lower mean mindful eating score (p < .001). Furthermore, those with lower mindfulness levels had a 4.96 higher risk of being food addicted (p < .000). Those with FA diagnosis had significantly lower scores regarding subscales of "disinhibition," "emotional eating," "control of eating," "mindfulness," and "interference" (p < .001). Consequently, it should be highlighted that determining the level of individuals' mindful eating may have remarkable and cumulative impacts on both obesity and FA in the long term. Thus, increasing mindful eating may be suggested as an essential strategy to control FA among young individuals.

Psychometric properties of the Chinese version of the modified Yale Food Addiction Scale version 2.0 (C-mYFAS 2.0): Prevalence of food addiction and relationship with resilience and social support

PURPOSE

This study aimed to examine the psychometric properties of the Chinese version of the modified Yale Food Addiction Scale 2.0 (C-mYFAS 2.0) and to analyze the prevalence of food addiction among Chinese college students and its relationship with resilience and social support.

METHODS

A total of 1132 Chinese college students completed the C-mYFAS 2.0, BES, EAT-26, PHQ-9, GAD-7, TFEQ-18, CD-RISC-10, and PSSS. Confirmatory factor analysis was used to evaluate the factor structure of the C-mYFAS 2.0 and psychometric properties were assessed. Test-retest reliability was evaluated in a sub-sample (n = 62). Spearman correlation and logistic regression were used to examine the relationship between resilience, social support, and food addiction.

RESULTS

The prevalence of food addiction according to the C-mYFAS 2.0 was 6.2%. Confirmatory factor analyses suggested a single-factor structure (comparative fit index = 0.961). The C-mYFAS 2.0 had good test-retest reliability and internal consistency (Kuder-Richardson's α = 0.824). Good convergent validity was indicated by correlations with binge eating, eating disorder symptoms, depressive symptoms, generalized anxiety symptoms, uncontrolled eating, emotional eating, and BMI (ps < 0.001). Appropriate divergent validity was reflected by no association with cognitive restraint. Finally, binge eating was significantly predicted by C-mYFAS 2.0, depressive symptoms, and eating disorder symptoms (ps < 0.001), confirming incremental validity. In addition, our study found that poorer resilience and social support were related to food addiction (ps < .001).

CONCLUSIONS

The C-mYFAS 2.0 is a brief but reliable and valid screening instrument for food addiction among Chinese college students. In addition, we found that resilience and social support were negatively associated with food addiction.

LEVEL OF EVIDENCE

Level V, cross-sectional descriptive study.

The Relationship between Addictive Eating and Dietary Intake: A Systematic Review

(1) Background: Research suggests that certain foods may have addictive effects; however, no reviews have systematically appraised studies in this area. The aims of this review were to determine the nutrients, foods and dietary patterns associated with addictive eating. (2) Methods: Published studies up to November 2020 were identified through searches of 6 electronic databases. Eligible studies included those in in children and adults that reported dietary intakes of individuals with 'food addiction'. (3) Results: Fifteen studies (n = 12 in adults and n = 3 in children/adolescents with Yale Food Addiction Scale defined 'food addiction') were included. Foods commonly associated with addictive eating were those high in a combination of fat and refined carbohydrates. Generally, intakes of energy, carbohydrates and fats were significantly higher in individuals with addictive eating compared to those without. (4) Conclusions: Due to the heterogeneity in study methodologies and outcomes across included studies, it is difficult to conclude if any specific foods, nutrients or dietary patterns facilitate an addictive process. Further research is needed to elucidate potential associations. However, present addictive eating treatment approaches could incorporate individualised dietary advice targeting foods high in fat and refined carbohydrates.

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

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

Food preferences and YFAS/YFAS-C scores in schoolchildren and university students

PURPOSE

Food addiction (FA) is one of the causes of widespread obesity in modern society. It was shown that there is an age-associated increase in incidence rate of FA in adolescents/young adults. The purpose of this study was to analyze food preferences in schoolchildren and university students with FA.

METHODS

High school and university students (N = 1607; age: 17.8 ± 2.7 years; girls: 77.0%) located in four settlements of Russia anonymously took part in the study. Study participants provided personal data (age, sex, height, and weight) and completed the Yale Food Addiction Scale, the Zung Self-Rating Depression Scale and the Munich ChronoType Questionnaire. In addition, they indicated food products with which they had problems.

RESULTS

The frequency of detection of FA among university students was twice as high as among schoolchildren. University students with FA were 20.2% more likely than schoolchildren to report the symptom 'use continues despite knowledge of adverse consequences,' and 13.7% more likely to report the symptom 'tolerance.' Schoolchildren and university students with FA most often noted that foods high in sugar and fat were problematic. University students with FA also reported that foods with a high carbohydrate content were problematic.

CONCLUSION

In university students with FA, in comparison with schoolchildren with FA, there is an increase in list of problematic food products, mainly due to products with a high carbohydrate content.

LEVEL OF EVIDENCE

Level V, cross-sectional descriptive study.

Packaged Foods Labeled as Organic Have a More Healthful Profile Than Their Conventional Counterparts, According to Analysis of Products Sold in the U.S. in 2019-2020

The organic food market's recent rapid global growth reflects the public's interest in buying certified organic foods, including packaged products. Our analysis shows that packaged foods containing fewer ingredients associated with negative public health outcomes are more likely to be labeled organic. Previous studies comparing organic and conventional foods focused primarily on nutrient composition. We expanded this research by additionally examining ingredient characteristics, including processing and functional use. Our dataset included nutrition and ingredient data for 8240 organic and 72,205 conventional food products sold in the U.S. from 2019 to 2020. Compared to conventional foods, organic foods in this dataset had lower total sugar, added sugar, saturated fat and sodium content. Using a mixed effects logistic regression, we found that likelihood of classification as organic increased as sodium content, added sugar content and the number of ultra-processed ingredients and cosmetic additives on the product label decreased. Products containing no trans-fat ingredients were more likely to be labeled organic. A product was more likely to be classified "organic" the more potassium it contained. These features of organic foods sold in the U.S. are significant because lower dietary ingestion of ultra-processed foods, added sugar, sodium and trans-fats is associated with improved public health outcomes.

Food Addiction, Saturated Fat Intake, and Body Mass Index in Peruvian Adults: A Cross-Sectional Survey

Background

Cardiovascular diseases (CVDs) constitute one of the main public health problems and represent a greater risk of mortality and morbidity for the world population. The objective of the study was to determine food addiction, saturated fat intake, and body mass index (BMI) in Peruvian adults.

Materials and Methods

A cross-sectional online survey was applied to 394 Peruvian adults over 18 years old residing in the three regions of the country. Participant data was collected through a prestructured online electronic survey. Food addiction was assessed using the Yale Food Addiction Scale self-administered questionnaire. A validated food frequency questionnaire was used to measure saturated fat intake. Finally, the sociodemographic and anthropometric variables were collected through a registration form.

Results

There were no significant differences in food addiction between men and women (p < 0.05). More than half of the participants who presented food addiction are overweight (54.1%, p < 0.001). The highest proportion of those who had a high intake of saturated fat had a food addiction (62.6%, p < 0.001). The highest percentage of men who were overweight was higher compared to women (49.7% vs. 38.4%, p < 0.05).

Conclusion

The findings of this study suggest that addictive eating behaviors and high saturated fat intake should be considered as part of efforts to prevent problems related to eating, obesity, and CVD.

Decoding the Role of Gut-Microbiome in the Food Addiction Paradigm

Eating behaviour is characterised by a solid balance between homeostatic and hedonic regulatory mechanisms at the central level and highly influenced by peripheral signals. Among these signals, those generated by the gut microbiota have achieved relevance in recent years. Despite this complex regulation, under certain circumstances eating behaviour can be deregulated becoming addictive. Although there is still an ongoing debate about the food addiction concept, studies agree that patients with eating addictive behaviour present similar symptoms to those experienced by drug addicts, by affecting central areas involved in the control of motivated behaviour. In this context, this review tries to summarise the main data regarding the role of the gut microbiome in eating behaviour and how a gut dysbiosis can be responsible for a maladaptive behaviour such as “food addiction”.

Foods and Nutritional Characteristics Associated With Addictive-Like Eating

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

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

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

No control and overwhelming cravings: Australian adults' perspectives on the experience of food addiction

Research in the area of food addiction is continuing to increase with recent reviews suggesting that food addiction is a distinctive condition that has many symptoms similar to substance use disorders. The current study explored the perspectives and experiences of Australian adults seeking treatment for addictive eating. Quantitative data for this study was collected via self-report questionnaires completed online, including demographics, the Yale Food Addiction Scale 2.0, and the Depression, Anxiety, and Stress Scale-21. Qualitative data was collected via semi-structured interviews using open-ended questions about the individual experience of food addiction and perspectives regarding intervention and recovery. Interview data was available for 34 participants, with the majority (n = 33) being females who were overweight, (mean ± SD age = 42.9 ± 13.2 years, BMI=36.5 ± 6.8 kg/m²). Stress (19.9 ± 11.4 out of 21) and depression (16.8 ± 10.2 out of 21) were the most prominent negative emotional states. Thematic analysis identified two themes of compulsion and control. Compulsion distinguished the participants' experiences related to addictive eating behaviours, in particular the notion of craving. Control encompassed their perception of both the processes and outcomes of overcoming their addictive eating. The two themes identified were not mutually exclusive, and relationships between them and their influence on each other were observable. This study provides a unique contribution to understanding adults' experience of food addiction by highlighting the strong desire to be in control of eating behaviours, and the inability of participants to overcome their compulsions to eat specific food despite minimal anticipation of positive effect.

Western Diet: Implications for Brain Function and Behavior

The Western diet (WD) pattern characterized by high daily intake of saturated fats and refined carbohydrates often leads to obesity and overweight, and it has been linked to cognitive impairment and emotional disorders in both animal models and humans. This dietary pattern alters the composition of gut microbiota, influencing brain function by different mechanisms involving the gut-brain axis. In addition, long-term exposure to highly palatable foods typical of WD could induce addictive-like eating behaviors and hypothalamic-pituitary-adrenal (HPA) axis dysregulation associated with chronic stress, anxiety, and depression. In turn, chronic stress modulates eating behavior, and it could have detrimental effects on different brain regions such as the hippocampus, hypothalamus, amygdala, and several cortical regions. Moreover, obesity and overweight induce neuroinflammation, causing neuronal dysfunction. In this review, we summarize the current scientific evidence about the mechanisms and factors relating WD consumption with altered brain function and behavior. Possible therapeutic interventions and limitations are also discussed, aiming to tackle and prevent this current pandemic.

The accelerator, the brake, and the terrain: associations of reward-related eating, self-regulation, and the home food environment with diet quality during pregnancy and postpartum in the pregnancy eating attributes study (PEAS) cohort

Background

Neurobehavioral factors, including reward-related eating and self-regulation, in conjunction with the food environment, may influence dietary behaviors. However, these constructs have not been examined in pregnancy and postpartum, a time of changing appetite and eating behaviors, and when dietary intake has implications for maternal and child health. This study examined associations of reward-related eating, self-regulation, and the home food environment with pregnancy and postpartum diet quality.

Methods

Participants in the Pregnancy Eating Attributes Study observational cohort were enrolled at ≤12 weeks gestation and followed through one-year postpartum. Pregnancy and postpartum Healthy Eating Index-2015 (HEI-total), and adequacy and moderation scores, respectively, were calculated by pooling 24-h diet recalls administered each trimester and during 2, 6, and 12 months postpartum. Participants completed four measures of reward-related eating – Modified Yale Food Addiction Scale (mYFAS), Power of Food Scale (PFS), Multiple Choice Procedure (MCP), and Reinforcing Value of Food Questionnaire (RVFQ); two measures of self-regulation – Barratt Impulsiveness Scale (BIS) and Delay of Gratification Inventory (DGI); and a Home Food Inventory (HFI), yielding obesogenic (OBES) and fruit/vegetables (FV) scores. Linear regression analyses estimated associations of reward-related eating, self-regulation, and home food environment with diet quality during pregnancy and postpartum, adjusting for sociodemographic characteristics.

Results

Pregnancy HEI-total was inversely associated with PFS (β = − 0.14 ± 0.05, p = 0.009), mYFAS(β = − 0.14 ± 0.06, p = 0.02), 2 of the 5 RVFQ indices, MCP (β = − 0.14 ± 0.05, p = 0.01), and DGI food subscale (β = 0.23 ± 0.05, p < 0.001), but associations of postpartum HEI-total with reward-related eating measures and self-regulation were small and not statistically significant. Pregnancy and postpartum HEI-total were associated inversely with HFI-OBES (β = − 0.17 ± 0.06, p = 0.004 and β = − 0.19 ± 0.07, p = 0.006, respectively), and positively with HFI-FV (β = 0.21 ± 0.05, p < 0.001 and β = 0.17 ± 0.06, p = 0.009, respectively).

Conclusions

Associations of poorer diet quality with greater reward-related eating during pregnancy but not postpartum suggests the need to better understand differences in the determinants of eating behaviors and approaches to circumvent or moderate reward-related eating to facilitate more optimal diet quality across this critical period.

Trial registration

Clinicaltrials.gov. URL – Registration ID – NCT02217462. Date of registration – August 13, 2014.

Prisoners of Addictive Cues: Biobehavioral Markers of Overweight and Obese Adults with Food Addiction

Obesity is associated with food and eating addiction (FA), but the biobehavioral markers of this condition are poorly understood. To characterize FA, we recruited 18 healthy controls and overweight/obese adults with (n = 31) and without (n = 17) FA (H-C, FAOB, NFAOB, respectively) to assess alpha brain asymmetry at rest using electroencephalogram; event-related potentials following exposure to high-calorie food (HCF), low-calorie food (LCF), and nonfood (NF) images in a Stroop paradigm; reaction time reflective of the Stroop bias; and symptoms of depression and disordered eating behavior. The FAOB group had the greatest emotional and uncontrollable eating, depressive, and binge-eating symptoms. The FAOB group displayed lower resting left alpha brain asymmetry than that of the NFAOB group. Differently from the other groups, the FAOB group presented attenuated Stroop bias following exposure to HCF relative to NF images, as well as a lower late positive potential component (LPPb; 450-495 ms) in both frontal and occipital regions. In the total cohort, a correlation was found between the Stroop bias and the LPPb amplitude. These results point to biobehavioral hypervigilance in response to addictive food triggers in overweight/obese adults with FA. This resembles other addictive disorders but is absent in overweight/obesity without FA.

Pregnant Women Consume a Similar Proportion of Highly vs Minimally Processed Foods in the Absence of Hunger, Leading to Large Differences in Energy Intake

BACKGROUND

The eating in the absence of hunger (EAH) experimental paradigm measures intake of highly palatable, highly processed foods when sated. However, no studies have examined EAH in pregnant women.

OBJECTIVE

The objectives were to investigate whether EAH in pregnant women differs by level of food processing and to examine relationships of EAH with hedonic hunger, addictive-like eating, and impulsivity.

DESIGN

EAH was assessed in a counterbalanced crossover feeding substudy in which participants completed two free-access eating occasions following a standardized meal during their second pregnancy trimester. Hedonic hunger (Power of Food Scale), addictive-like eating (modified Yale Food Addiction Scale), and impulsivity (Barratt Impulsiveness Scale-15) were assessed by self-report during early pregnancy.

PARTICIPANTS AND SETTING

Data were collected from March 2015 through September 2016 from a subsample of participants (n = 46) enrolled at ≤12 weeks gestation in an observational, prospective cohort study (the Pregnancy Eating Attributes Study) in North Carolina.

INTERVENTION

Participants were presented with highly processed and minimally processed foods in two separate assessments.

MAIN OUTCOME MEASURES

Energy intake (EAH-kcal) and percent consumed (EAH-%) (calculated as 100 × [amount consumed (g) / amount served (g)]) was measured overall and separately for sweet and savory foods.

STATISTICAL ANALYSES PERFORMED

Linear mixed models estimated the effect of condition on EAH. Hedonic hunger, addictive-like eating, impulsivity and their interaction were examined separately.

RESULTS

EAH-% was similar across conditions (16.3% ± 1.1% highly processed vs 17.9% ± 1.2% minimally processed; P = 0.76), resulting in 338.5 ± 34.2 kcal greater energy intake in the highly processed vs minimally processed condition (P < 0.001). Hedonic hunger was not significantly associated with EAH; reward-related eating was positively associated with EAH-kcal and EAH-% of savory foods, and Barratt Impulsivity was positively associated with EAH-kcal and EAH-% overall, and with EAH-% of sweet foods (P < 0.05). There was little evidence of an interaction of Barratt Impulsivity with hedonic hunger or reward-related eating.

CONCLUSIONS

EAH in pregnant women occurs for both highly processed and minimally processed foods and correlates positively with self-reported addictive-like eating, but not hedonic hunger. Impulsivity did not modify associations of addictive-like eating with EAH in this sample.

An evaluation of food addiction as a distinct psychiatric disorder

OBJECTIVE

To evaluate the state of the literature for whether food addiction may warrant consideration as a distinct psychiatric disorder in the Diagnostic and Statistical Manual (DSM) using Blashfield et al.'s (1990; Comprehensive Psychiatry, 31(1), 15-19) five criteria. This framework was utilized because it has recently been applied to examine the diagnostic utility of several eating disorder phenotypes. The criteria are: (a) at least 50 journal articles published on the proposed syndrome in the past 10 years; (b) proposal of diagnostic criteria and assessment measures; (c) clinician reliability in diagnosis; (d) cohesiveness of the proposed diagnostic criteria; and (e) differentiation from similar, existing diagnostic categories.

METHOD

For each criterion, a literature review was conducted to examine if the minimum qualification had been met, and key findings were discussed.

RESULTS

Two of the criteria (literature and differentiation) have been empirically supported to extent specified. Two criteria (diagnostic criteria and syndrome) have been partially fulfilled, due to only having self-report assessment measures and no examination of the odds ratios for meeting more than one symptom, respectively. Clinician reliability has not yet been evaluated.

DISCUSSION

The existing literature suggests that food addiction may warrant consideration as a proposed diagnostic category in the DSM, though future research is needed to fulfill Blashfield et al.'s (1990; Comprehensive Psychiatry, 31(1), 15-19) criteria. The development of a semi-structured interview would be an impactful contribution for addressing these gaps.

Reward-related eating, self-regulation, and weight change in pregnancy and postpartum: the Pregnancy Eating Attributes Study (PEAS)

Background/Objectives.

Reward-related eating is hypothesized to underlie risk for weight gain in obesogenic environments, but its role is unknown during pregnancy and postpartum when weight change is normative, but excess weight gain and weight retention are common. This study examined associations of self-reported reward-related eating, self-regulation, and the home food environment with excessive gestational weight gain (GWG) and postpartum weight change.

Subjects/Methods.

Participants in the Pregnancy Eating Attributes Study observational cohort were enrolled at ≤12 weeks pregnancy and followed through one-year postpartum (458 recruited; 367 retained through delivery). Participants completed four measures of reward-related eating – Modified Yale Food Addiction Scale, Power of Food Scale, Multiple Choice Procedure, and a Reinforcing Value of Food Questionnaire; two measures of self-regulation – Barratt Impulsiveness Scale and Delay of Gratification Inventory; and a Home Food Inventory. Measured weight and skinfolds were obtained. Multinomial logistic and multiple linear regression analyses estimated associations of reward-related eating, self-regulation, and home food environment with excessive GWG, gestational fat gain, postpartum weight change, and percent of GWG retained.

Results.

Excessive GWG was associated with food reinforcement intensity, but not with any other measure of reward-related eating, self-regulation, or home food environment. Greater gestational fat gain was associated only with higher Multiple Choice Procedure. Postpartum weight change and percent of GWG retained were associated with greater Delay of Gratification and obesogenic home food environment, but not with any measure of reward-related eating or with impulsivity.

Conclusions.

Findings do not support the hypothesis that self-reported reward-related eating is associated with weight outcomes in pregnancy and postpartum but indicate a relation of Delay of Gratification with postpartum weight retention. Further research using both surveys and objective measures of reward-related eating is needed to advance our understanding of the relation of reward-related eating with weight changes during this critical period of a woman’s life.

Health Professionals' and Health Professional Trainees' Views on Addictive Eating Behaviours: A Cross-Sectional Survey

Despite increasing research on the concept of addictive eating, there is currently no published evidence on the views of health professionals who potentially consult with patients presenting with addictive eating behaviours, or of students training to become health professionals. This study aimed to explore the views and understanding of addictive eating behaviours among health professionals and health professionals in training and to identify potential gaps in professional development training. An international online cross-sectional survey was conducted in February–April 2020. The survey (70 questions, 6 key areas) assessed participants’ opinions and clinical experience of addictive eating; opinions on control, responsibility, and stigma relating to addictive eating; and knowledge of addictive eating and opinions on professional development training. In total, 142 health professionals and 33 health professionals in training completed the survey (mean age 38.1 ± 12.5 years, 65% from Australia/16% from the U.K.) Of the health professionals, 47% were dietitians and 16% were psychologists. Most participants (n = 126, 72%) reported that they have been asked by individuals about addictive eating. Half of the participants reported that they consider the term food addiction to be stigmatising for individuals (n = 88). Sixty percent (n = 105) reported that they were interested/very interested in receiving addictive eating training, with the top two preferred formats being online and self-paced, and face-to-face. These results demonstrate that addictive eating is supported by health professionals as they consult with patients presenting with this behaviour, which supports the views of the general community and demonstrates a need for health professional training.

The Mediating Effects of Eating Disorder, Food Addiction, and Insomnia in the Association between Psychological Distress and Being Overweight among Iranian Adolescents

With obesity and excess weight remaining a serious concern worldwide, investigating the mechanisms underlying this is of great importance. Psychological distress is a possible trigger contributing to excess weight for adolescents. Moreover, the association between psychological distress and excess weight may be mediated by eating disorder, food addiction, and insomnia. The present study utilized parallel mediation analysis to assess the aforementioned associations and possible mediation effects among Iranian adolescents. Through stratified and clustered sampling, adolescents (N = 861; mean ± SD age = 15.9 ± 3.2; 372 males) participated and were followed for a one-year period. Excess weight (standardized body mass index, z-BMI); psychological distress (Depression, Anxiety, and Stress Scale-21); eating disorder attitudes (Eating Attitude Test-26); food addiction (Yale Food Addiction Scale for Children); and insomnia (Insomnia Severity Index) were assessed. Eating disorder attitudes, food addiction, and insomnia were significant mediators in the association of psychological distress and z-BMI. Additionally, psychological distress had direct effects on z-BMI. Given that eating disorder attitudes, food addiction, and insomnia showed mediated effects in the temporal association of psychological distress and excess weight, healthcare providers are encouraged to design programs on improving these three mediators to help adolescents overcome excess weight problems.

Does Eating Addiction Favor a More Varied Diet or Contribute to Obesity?-The Case of Polish Adults

The rapidly increasing prevalence of overweight and obesity indicates a need to search for their main causes. Addictive-like eating and associated eating patterns might result in overconsumption, leading to weight gain. The aim of the study was to identify the main determinants of food intake variety (FIV) within eating addiction (EA), other lifestyle components, and sociodemographic characteristics. The data for the study were collected from a sample of 898 Polish adults through a cross-sectional survey in 2019. The questionnaire used in the study included Food Intake Variety Questionnaire (FIVeQ), Eating Preoccupation Scale (EPS), and questions regarding lifestyle and sociodemographic factors. High eating addiction was found in more than half of the people with obesity (54.2%). In the study sample, physical activity at leisure time explained FIV in the greatest manner, followed by the EPS factor: eating to provide pleasure and mood improvement. In the group of people with obesity, the score for this EPS factor was the best predictor of FIV, in that a higher score was conducive to a greater variety of food intake. Sociodemographic characteristics differentiated FIV only within groups with normal body weight (age) and with overweight (education). In conclusion, food intake variety (FIV) was associated with physical activity at leisure time, and then with EPS factor “Eating to provide pleasure and mood improvement”, whereas sociodemographic characteristics were predictors of FIV only within groups identified by body mass index (BMI). Nevertheless, our observations regarding the eating to provide pleasure and mood improvement factor and its associations with food intake variety indicate a need for further research in this area. Future studies should also use other tools to explicitly explain this correlation.

Development and preliminary validation of the Anticipated Effects of Food Scale

Expectancy theory has been widely applied in substance use research but has received less attention in eating behavior research. Measuring food expectancies, or the anticipated outcomes of eating specific foods, holds theoretical and practical promise for investigations into nonhomeostatic eating behavior. The current study developed and assessed the psychometric properties of a novel measure of positively and negatively valenced highly (e.g., sweets, salty snacks, fast foods, sugary drinks) and minimally (e.g., fruits, vegetables) processed food expectancies. The Anticipated Effects of Food Scale (AEFS) was adapted from a self-report of alcohol expectancies, piloted for item generation/retention and readability, and preliminarily validated in an adult sample (N = 247; Mage = 36.84; 53.3% male; 74.5% White). Consistent with the substance expectancies literature, AEFS positive highly processed food expectancies were associated with greater added sugars intake, r = .17, p = .009, and food addiction symptoms, r = .56, p < .001. Of note, AEFS negative minimally processed food expectancies were robustly associated with food addiction symptoms, r = .81, p < .001, and, together with AEFS positive highly processed food expectancies, explained 67% of the variance in food addiction symptoms. Furthermore, AEFS food expectancies demonstrated incremental validity with food addiction symptoms above and beyond general eating expectancies. The AEFS seems to be a psychometrically sound measure and can be used to investigate cognitive-affective mechanisms implicated in highly processed food intake and food addiction. Moreover, the present results provide new insight into potential food expectancy challenge intervention approaches for preventing nonhomeostatic eating behavior. (PsycINFO Database Record (c) 2020 APA, all rights reserved).

The prevalence of food addiction and its associations with plasma oxytocin level and anthropometric and dietary measurements in Iranian women with obesity

Obesity is a prevalent public health problem, and food addiction (FA) is one of the most controversial factors in its management. Therefore, this study was designed to validate an FA questionnaire for Iranian women with obesity and to determine the prevalence of FA and its associations with plasma oxytocin (OT) levels as well as anthropometric and dietary measurements. In this descriptive-analytical study, 450 adult women with obesity were included. The prevalence of FA was determined with a valid Yale food addiction scale (YFAS). Macronutrient intakes were measured by a valid semi-quantitative food frequency questionnaire (FFQ). In addition, plasma OT was measured after eight hours of fasting. In this study, the prevalence of FA was 26.2% in women with obesity. In comparison with class I obesity, the odds ratios (95% CI) of FA for class II and class III obesity were 2.5 (CI: 1.29-5.09) and 3.3 (CI: 1.69-6.4) respectively. Dietary intakes of energy, protein, carbohydrate, fat, saturated fatty acids, monounsaturated fatty acids, polyunsaturated fatty acids, and cholesterol were significantly higher in food-addicted (FAD) women compared to non-food-addicted (NFA) ones (p < 0.001). Moreover, plasma OT level was lower in FAD women with obesity than in NFA subjects (p = 0.02). In conclusion, the results of this study indicate that FA is prevalent in Iranian women with obesity. In addition, FA is related to obesity severity, dietary intakes of energy, carbohydrate, protein, fat, cholesterol, and plasma OT level.

Fat Addiction: Psychological and Physiological Trajectory

Obesity has become a major public health concern worldwide due to its high social and economic burden, caused by its related comorbidities, impacting physical and mental health. Dietary fat is an important source of energy along with its rewarding and reinforcing properties. The nutritional recommendations for dietary fat vary from one country to another; however, the dietary reference intake (DRI) recommends not consuming more than 35% of total calories as fat. Food rich in fat is hyperpalatable, and is liable to be consumed in excess amounts. Food addiction as a concept has gained traction in recent years, as some aspects of addiction have been demonstrated for certain varieties of food. Fat addiction can be a diagnosable condition, which has similarities with the construct of addictive disorders, and is distinct from eating disorders or normal eating behaviors. Psychological vulnerabilities like attentional biases have been identified in individuals described to be having such addiction. Animal models have provided an opportunity to explore this concept in an experimental setting. This discussion sheds light on fat addiction, and explores its physiological and psychological implications. The discussion attempts to collate the emerging literature on addiction to fat rich diets as a prominent subset of food addiction. It aims at addressing the clinical relevance at the community level, the psychological correlates of such fat addiction, and the current physiological research directions.

Food cue reactivity in food addiction: A functional magnetic resonance imaging study

BACKGROUND

While neuroimaging studies have revealed that reward dysfunction may similarly contribute to obesity and addiction, no prior studies have examined neural responses in individuals who meet the "clinical" food addiction phenotype.

METHODS

Women (n = 44) with overweight and obesity, nearly half of whom (n = 20) met criteria for moderate-to-severe Yale Food Addiction Scale 2.0 (YFAS 2.0) food addiction, participated in a functional magnetic resonance imaging cue reactivity task. Participants viewed images of highly processed foods, minimally processed foods, and household objects while thinking about how much they wanted each item. Differences in neural responses by YFAS 2.0 food addiction to highly processed and minimally processed food cues were investigated.

RESULTS

There was a significant interaction between participant group and neural response in the right superior frontal gyrus to highly versus minimally processed food cues (r = 0.57). Individuals with YFAS 2.0 food addiction exhibited modest, elevated responses in the superior frontal gyrus for highly processed food images and more robust, decreased activations for minimally processed food cues, whereas participants in the control group showed the opposite responses in this region. Across all participants, the household items elicited greater activation than the food cues in regions associated with interoceptive awareness and visuospatial attention (e.g., insula, inferior frontal gyrus, inferior parietal lobe).

CONCLUSIONS

Women with overweight or obesity and YFAS 2.0 food addiction, compared to those with only overweight or obesity, exhibited differential responses to highly and minimally processed food cues in a region previously associated with cue-induced craving in persons with a substance-use disorder. Overall, the present work provides further support for the utility of the food addiction phenotype within overweight and obesity.

Food Addiction Symptoms and Amygdala Response in Fasted and Fed States

Few studies have investigated the underlying neural substrates of food addiction (FA) in humans using a recognised assessment tool. In addition, no studies have investigated subregions of the amygdala (basolateral (BLA) and central amygdala), which have been linked to reward-seeking behaviours, susceptibility to weight gain, and promoting appetitive behaviours, in the context of FA. This pilot study aimed to explore the association between FA symptoms and activation in the BLA and central amygdala via functional magnetic resonance imaging (fMRI), in response to visual food cues in fasted and fed states. Females (n = 12) aged 18-35 years completed two fMRI scans (fasted and fed) while viewing high-calorie food images and low-calorie food images. Food addiction symptoms were assessed using the Yale Food Addiction Scale. Associations between FA symptoms and activation of the BLA and central amygdala were tested using bilateral masks and small-volume correction procedures in multiple regression models, controlling for BMI. Participants were 24.1 ± 2.6 years, with mean BMI of 27.4 ± 5.0 kg/m² and FA symptom score of 4.1 ± 2.2. A significant positive association was identified between FA symptoms and higher activation of the left BLA to high-calorie versus low-calorie foods in the fasted session, but not the fed session. There were no significant associations with the central amygdala in either session. This exploratory study provides pilot data to inform future studies investigating the neural mechanisms underlying FA.

Psychometric properties of the modified Yale Food Addiction Scale Version 2.0 in an Italian non-clinical sample

PURPOSE

To assess the dimensionality and psychometric properties of the modified Yale Food Addiction Scale 2.0 (mYFAS 2.0) in an Italian non-clinical sample.

METHODS

262 adults (184 women) were administered the Italian versions of the mYFAS 2.0, and questionnaires measuring binge eating severity, anxiety and depression symptoms, and emotional dysregulation.

RESULTS

15 individuals (5.7%) met the criteria for a diagnosis of food addiction according to the mYFAS 2.0. Bayesian confirmatory factor analysis supported a single-factor solution for the mYFAS 2.0. The mYFAS 2.0 had good internal consistency (Ordinal α = 0.91), and convergent validity with binge eating severity (r = 0.67, p < 0.001), both anxiety (r = 0.31, p < 0.001) and depressive (r = 0.35, p < 0.001) symptoms, and difficulties in emotion regulation (r = 0.35, p < 0.001). Finally, both discriminant validity with dietary restraint (Gamma = 0.11; p = 0.52) and incremental validity in predicting binge eating severity over emotion dysregulation and psychopathology (b = 0.52; t = 11.11; p < 0.001) were confirmed.

CONCLUSIONS

The Italian mYFAS 2.0 has satisfactory psychometric properties and can be used as a brief instrument for the assessment of addictive eating behaviors when time constraints prevent the use of the original version.

LEVEL OF EVIDENCE

Level V, cross-sectional descriptive study.

Food processing: criteria for dietary guidance and public health?

The NOVA food categorisation recommends ‘avoiding processed foods (PF), especially ultra-processed foods (UPF)’ and selecting minimally PF to address obesity and chronic disease. However, NOVA categories are drawn using non-traditional views of food processing with additional criteria including a number of ingredients, added sugars, and additives. Comparison of NOVA's definition and categorisation of PF with codified and published ones shows limited congruence with respect to either definition or food placement into categories. While NOVA studies associate PF with decreased nutrient density, other classifications find nutrient-dense foods at all levels of processing. Analyses of food intake data using NOVA show UPF provide much added sugars. Since added sugars are one criterion for designation as UPF, such a proof demonstrates a tautology. Avoidance of foods deemed as UPF, such as wholegrain/enriched bread and cereals or flavoured milk, may not address obesity but could decrease intakes of folate, calcium and dietary fibre. Consumer understanding and implementation of NOVA have not been tested. Neither have outcomes been compared with vetted patterns, such as Dietary Approaches to Stop Hypertension, which base food selection on food groups and nutrient contribution. NOVA fails to demonstrate the criteria required for dietary guidance: understandability, affordability, workability and practicality. Consumers’ confusion about definitions and food categorisations, inadequate cooking and meal planning skills and scarcity of resources (time, money), may impede adoption and success of NOVA. Research documenting that NOVA can be implemented by consumers and has nutrition and health outcomes equal to vetted patterns is needed.

Measurement Invariance of the Modified Yale Food Addiction Scale 2.0 Across Gender and Racial Groups

Objective: Food addiction reflects a substance use disorder framework, suggesting certain foods (e.g., high-fat, high-sugar foods) may trigger an addictive-like eating response in vulnerable individuals. This study explored whether the Modified Yale Food Addiction Scale 2.0 (mYFAS 2.0), a newly validated and shortened measure of food addiction, is appropriate for use in heterogeneous samples. Assessment of mYFAS 2.0 invariance is essential, as this measure was developed for use as a brief screener in large epidemiological samples that are likely demographically diverse. Method: Multigroup confirmatory factor analysis examined measurement invariance across racial/ethnic (White, Black, and Hispanic) and gender (male, female) groups. Participants were recruited through Qualtrics qBus, which uses demographic quotas to recruit a sample representative of the U.S. census reference population. Individuals were included in analyses if they identified their race/ethnicity as White, Black, or Hispanic ( N = 923). Results: Results supported full and partial measurement invariance across racial and gender groups, respectively. Discussion: Results increase confidence in the generalizability of findings using the mYFAS 2.0 and indicate that observed differences in prevalence rates, such as the higher rates of food addiction observed for women and Hispanic individuals, are likely due to true differences in the population rather than due to measurement bias.

Food Addiction Support: Website Content Analysis

Background

Food addiction has a long history; however, there has been a substantial increase in published literature and public media focus in the past decade. Food addiction has previously demonstrated an overlap with overweight and obesity, a risk for cardiovascular disease. This increased focus has led to the establishment of numerous support options for addictive eating behaviors, yet evidence-based support options are lacking.

Objective

This study aimed to evaluate the availability and content of support options, accessible online, for food addiction.

Methods

A standardized Web search was conducted using 4 search engines to identify current support availability for food addiction. Through use of a comprehensive data extraction sheet, 2 reviewers independently extracted data related to the program or intervention characteristics, and support fidelity including fundamentals, support modality, social support offered, program or intervention origins, member numbers, and program or intervention evaluation.

Results

Of the 800 records retrieved, 13 (1.6%, 13/800) websites met the inclusion criteria. All 13 websites reported originating in the United States, and 1 website reported member numbers. The use of credentialed health professionals was reported by only 3 websites, and 5 websites charged a fee-for-service. The use of the 12 steps or traditions was evident in 11 websites, and 9 websites described the use of food plans. In total, 6 websites stated obligatory peer support, and 11 websites featured spirituality as a main theme of delivery. Moreover, 12 websites described phone meetings as the main program delivery modality, with 7 websites stating face-to-face delivery and 4 opting for online meetings. Newsletters (n=5), closed social media groups (n=5), and retreat programs (n=5) were the most popular forms of social support.

Conclusions

This is the first review to analyze online support options for food addiction. Very few online support options include health professionals, and a strengthening argument is forming for an increase in support options for food addiction. This review forms part of this argument by showing a lack of evidence-based options. By reviewing current support availability, it can provide a guide toward the future development of evidence-based support for food addiction.

How does food addiction influence dietary intake profile?

This study aimed to investigate whether there was any difference in eating pattern, abnormal eating behaviour, obesity and the number of food addiction symptoms according to food addiction presence. A total sample of 851 healthy subjects living in Ankara (n = 360 male, n = 491 female) aged 19-65 years were included in this cross-sectional survey. Data on demographic information, 24-hour dietary recalls, Yale Food Addiction Scale (YFAS), Eating Attitudes Test-26 (EAT-26), and anthropometric measurements were collected through face-to-face interviews. Overall, 11.4% of participants were identified as "food addicted" (F: 13.0%; M: 9.2%). Subjects meeting criteria for 'food addiction' had higher body mass index (35.1% were obese and 3.1% were underweight), compared to subjects without food addiction (13.1% were obese and 10.2% were underweight) (p<0.05). Abnormal eating attitudes estimated with EAT-26 were determined as 45.5% in males, 37.5% in females and 40.2% in total, among subjects with food addiction. Daily energy, protein and fat intakes were significantly higher in food addicted females, compared to non-addicted females (p<0.05). Participants with food addiction reported significantly more problems with foods, which contain high amounts of fat and sugar, compared to the participants without food addiction. Food addiction behaviour should be considered as a part of efforts towards reducing food related problems involving obesity.

Food and beverage consumption and food addiction among women in the Nurses' Health Studies

BACKGROUND AND AIMS

Previous studies have not addressed a fundamental component of a food addiction disorder: the compulsive relationship between eating and potentially positively reinforcing foods. We aimed to evaluate the association between food consumption and food addiction.

METHODS

We conducted cross-sectional analyses merging data from the Nurses' Health Study (n = 58,625) and Nurses' Health Study II (n = 65,063), two prospective cohort studies of female nurses in the United States. Diet was assessed in 2006-2007 using a food frequency questionnaire, and food addiction was assessed in 2008-2009 using the Modified Yale Food Addiction Scale.

RESULTS

The prevalence of food addiction was 5.4%. The odds of food addiction were strongest among nurses consuming 5+ servings/week (compared with <1 serving/month) of hamburgers (multivariable odds ratio (MVOR) 4.08; 95% CI, 2.66-6.25), French fries (MVOR, 2.37; 95% CI, 1.59-3.51) and pizza (MVOR, 2.49; 95% CI, 1.67-3.69). Consumption of red/processed meat, low/no fat snacks/desserts, and low calorie beverages was positively associated with food addiction, while consumption of refined grains, sugar-sweetened beverages and fruits, vegetables, and legumes was inversely associated with food addiction.

CONCLUSIONS

This epidemiologic study was the largest to examine food consumption and food addiction. Food addiction was positively associated with consumption of many hypothesized positively reinforcing foods that include a combination of carbohydrates and fats such as snacks, "fast foods," and candy bars. However, it was inversely or not associated with certain sweet foods, refined grains, and sugar-sweetened beverages, which is consistent with literature suggesting that carbohydrates (without other ingredients) are less associated with food addiction. Longitudinal analyses will help untangle the temporal order between food consumption and food addiction, as some relationships in our analyses were difficult to interpret due to the cross-sectional design.

Validation of the Spanish Version of the Yale Food Addiction Scale 2.0 (YFAS 2.0) and Clinical Correlates in a Sample of Eating Disorder, Gambling Disorder, and Healthy Control Participants

Aims: Due to the increasing evidence of shared vulnerabilities between addictive behaviors and excessive food intake, the concept of food addiction in specific clinical populations has become a topic of scientific interest. The aim of this study was to validate the Yale Food Addiction Scale (YFAS) 2.0 in a Spanish sample. We also sought to explore food addiction and its clinical correlates in eating disorder (ED) and gambling disorder (GD) patients. Methods: The sample included 301 clinical cases (135 ED and 166 GD), diagnosed according to DSM-5 criteria, and 152 healthy controls (HC) recruited from the general population. Results: Food addiction was more prevalent in patients with ED, than in patients with GD and HC (77.8, 7.8, and 3.3%, respectively). Food addiction severity was associated with higher BMI, psychopathology and specific personality traits, such as higher harm avoidance, and lower self-directedness. The psychometrical properties of the Spanish version of the YFAS 2.0 were excellent with good convergent validity. Moreover, it obtained good accuracy in discriminating between diagnostic subtypes. Conclusions: Our results provide empirical support for the use of the Spanish YFAS 2.0 as a reliable and valid tool to assess food addiction among several clinical populations (namely ED and GD). The prevalence of food addiction is heterogeneous between disorders. Common risk factors such as high levels of psychopathology and low self-directedness appear to be present in individuals with food addiction.