Modified Yale Food Addiction Scale Research Articles

The Validity And Reliability Of The Turkish Version Of The Modified Yale Food Addiction Scale Version 2.0

Introduction and aim: Randolph first proposed the concept of food addiction (FA) in 1956, but it has become more emphasized with the spread of obesity in recent years. In this study, we aimed to test the validity and reliability of the Turkish version of the modified Yale food addiction scale version 2.0, which has been developed to evaluate the substance use disorder criteria in DSM V in 2017 in terms of food addiction.
 Materials and methods: The methodological and descriptive study was performed in seven family medicine units between June 2017 and March 2018. A total of 271 people was included in the study, and the questionnaire was asked to answer a total of 32 questions, including 13 questions about phrasing, socio-demographic characteristics, habits, current diseases, and 19 questions about weight. In statistical analyses, the validity of the scale was tested for language validity, content validity, factor validity, and construct validity. In the reliability analysis, internal consistency and time invariance of the scale against time were evaluated. A p-value of

The Yale Food Addiction Scale 2.0 and the modified Yale Food Addiction Scale 2.0 in Taiwan: Factor structure and concurrent validity.

The most widely used instruments to assess food addiction - the Yale Food Addiction Scale 2.0 (YFAS 2.0) and its modified version (mYFAS 2.0) - have not been validated in a Taiwanese population. The present study compared the psychometric properties between the Taiwan versions of YFAS 2.0 and mYFAS 2.0 among university students. An online survey comprising the YFAS 2.0, mYFAS 2.0, Weight Self-Stigma Questionnaire (WSSQ) and International Physical Activity Questionnaire-Short Form (IPAQ-SF) were used to assess food addiction, self-stigma, and physical activity. All participants (n = 687; mean age = 24.00 years [SD ± 4.48 years]; 407 females [59.2%]) completed the entire survey at baseline and then completed the YFAS 2.0 and mYFAS 2.0 again three months later. The results of confirmatory factor analysis (CFA) indicated that the YFAS 2.0 and mYFAS 2.0 both shared a similar single-factor solution. In addition, both the YFAS 2.0 and mYFAS 2.0 reported good internal consistency (Cronbach's α = 0.90 and 0.89), good test-retest reliability (ICC = 0.71 and 0.69), and good concurrent validity with the total scores being strongly associated with the WSSQ (r = 0.54 and 0.57; p < 0.01), and less strongly associated with BMI (r = 0.17 and 0.13; p < 0.01) and IPAQ-SF (r = 0.23 and 0.25; p < 0.01). Based on the findings, the Taiwan versions of the YFAS 2.0 and mYFAS 2.0 appear to be valid and reliable instruments assessing food addiction.

Food addiction, orthorexia nervosa and dietary diversity among Bangladeshi university students: a large online survey during the COVID-19 pandemic

PurposeMaladaptive eating behaviors like food addiction (FA) are common among students, and orthorexia nervosa (ON) is being evaluated as a new condition among eating disorders (EDs). Moreover, dietary diversity (DD) is recognized as an important component of a healthy diet. Thus, the current study sought to examine the prevalence of ON and FA as well as the factors associated with ON, FA, and DD among university students in Bangladesh during the COVID-19 pandemic.MethodsFour-thousand-and-seventy-six students were recruited and completed an online survey consisting of the Bratman Orthorexia test, the modified Yale Food Addiction Scale, and a questionnaire based on the Food and Agriculture Organizations’ guidelines. Inferential statistics, bivariate and multivariable linear regression were used for analyzing data.ResultsON and FA were observed in 1.7% and 7.5% of participants, respectively, with 43.8% exhibiting Health Fanatic eating attitude. The mean DD score was 5.96 (SD = 1.56). Students with ON consumed more legumes, nuts, seeds, and vegetables including dark green leafy vegetables whereas students with FA consumed more organ meats and eggs. Students who were older-aged, married, formerly smoked, had fitness goals, and had guilty feelings about violating food rules were more likely to have ON, whereas those who were female, were married, actively smoked, and were overweight and obese were more likely to have FA.ConclusionsThe findings suggest that students from Bangladesh are at risk of FA, and less so for ON. These entities and low DD deserve more research attention in Bangladesh to increase awareness and ensure appropriate interventions.

Low carbohydrate and psychoeducational programs show promise for the treatment of ultra-processed food addiction.

Food addiction, specifically ultra-processed food addiction, has been discussed in thousands of peer-reviewed publications. Although 20% of adults meet criteria for this condition, food addiction is not a recognized clinical diagnosis, leading to a dearth of tested treatment protocols and published outcome data. Growing numbers of clinicians are offering services to individuals on the basis that the food addiction construct has clinical utility. This audit reports on clinical teams across three locations offering a common approach to programs delivered online. Each team focused on a whole food low-carbohydrate approach along with delivering educational materials and psychosocial support relating to food addiction recovery. The programs involved weekly sessions for 10–14 weeks, followed by monthly support. The data comprised pre- and post- program outcomes relating to food addiction symptoms measured by the modified Yale Food Addiction Scale 2.0, ICD-10 symptoms of food related substance use disorder (CRAVED), mental wellbeing as measured by the short version of the Warwick Edinburgh Mental Wellbeing Scale, and body weight. Sample size across programs was 103 participants. Food addiction symptoms were significantly reduced across settings; mYFAS2 score −1.52 (95% CI: −2.22, −0.81), CRAVED score −1.53 (95% CI: −1.93, −1.13) and body weight was reduced −2.34 kg (95% CI: −4.02, −0.66). Mental wellbeing showed significant improvements across all settings; short version Warwick Edinburgh Mental Wellbeing Scale 2.37 (95% CI: 1.55, 3.19). Follow-up data will be published in due course. Further research is needed to evaluate and compare long-term interventions for this complex and increasingly burdensome biopsychosocial condition.

The Modified Yale Food Addiction Scale May Be Simplified and Diagnostically Improved: The Same Prevalence but Different Severity and Risk Factors of Food Addiction among Female and Male Students.

The Yale Food Addiction Scale (YFAS) is the most commonly used scale for measuring food addiction (FA). The previous approach to the YFAS and its subsequent versions assumed dichotomization of items, separating addiction symptoms and clinical significance items, and factorial validity testing on a subset of items. In this paper, we discuss the drawbacks associated with these procedures. In addition, we present a different analytical approach to investigate the validity of the modified YFAS (mYFAS) along with an alternative scoring method that overcomes limitations related to the previous approach. After establishing the structure of the mYFAS, we investigated the potential antecedents and consequences of FA separately for men and women. The sample consisted of 1182 Polish undergraduate students (613 women, 559 men, 10 missing values on gender) with a mean age of 20.33 years (SD = 1.68; range: 18–36). They were asked to complete self-report questionnaires measuring FA, personality traits (Big Five), self-esteem, narcissism, self-efficacy, social anxiety, loneliness, and well-being indicators. Due to the low content, factorial, and clinical validity, the first three items were excluded from the Polish version of the mYFAS. The six-item mYFAS demonstrated measurement invariance, allowing for meaningful comparisons between genders and yielded almost identical prevalence rates for men and women. The hierarchical multiple regression analysis showed that, narcissism, and social anxiety predicted FA in both genders, whereas important gender differences in antecedents were also noted. In addition, FA was associated with body mass index (BMI) and most of the well-being indicators, even after controlling for relevant variables. The findings suggest that our modified analytical approach allows researchers to measure FA using a valid, useful, and simple tool.

Prevalence of food addiction and its association with lifestyle factors in undergraduate students from Northwest Mexico

Background: The aim of this study was to determine the prevalence of food addiction (FA) in undergraduate students from Northwest Mexico and to examine its association with lifestyle factors, eating behaviors and food consumption.Methods: This cross-sectional study included a total of 326 undergraduate students, both sexes, between 18 and 25 years of age, who were enrolled in a bachelor’s degree program at a public or private university in the city of Tijuana, Baja California, Mexico. FA was assessed using the modified Yale Food Addiction Scale Version 2.0 (mYFAS 2.0). Lifestyle (sleep patterns, physical exercise, alcohol intake, and smoking) and nutritional information (eating behaviors and food frequency consumption) was obtained through a clinical history. A multivariate logistic regression model was fitted to assess the factors associated with FA.Results: The whole prevalence of FA was 12.9%. In general, mild FA was the most frequent (5.2%), followed by severe (4.3%) and moderate (3.4%) categories. In the multivariate model, insomnia conferred a higher risk for FA (OR = 2.08, 95% CI, 1.04–4.17, p = 0.040), while the habitual consumption of fruits showed a protective effect (OR = 0.50, 95% CI, 0.25–0.98, p = 0.046). Overall, the model predicted FA in 12% (R2=0.12, p = 0.011).Conclusion: The prevalence of FA is 12.9% among undergraduate students from Northwest Mexico. Although caution should be exercised, insomnia seems to increase the risk of FA, while the habitual consumption of fruits appears to have a protective role. Additional studies are needed to validate these results.

Validation of the Arabic version of the modified Yale Food Addiction Scale in the general population in Lebanon

BackgroundAlthough the definition of food addiction is not agreed upon, it is characterized by eating more than expected without being hungry, not being able to visit certain places associated with overeating or unsuccessfully trying to cut down on the consumption of certain foods. The modified YFAS (mYFAS 2.0) version, instrument available to evaluate food addiction, was shown to have good psychometric properties. Our objective was to assess the psychometric properties of the Arabic version of the mYFAS (mYFAS-Ar-Leb) in the Lebanese population.MethodsThis cross-sectional study enrolled 1268 persons residing in Lebanon (September–November 2020). The mean age of the participants was 26.18 years (SD = 11.17; min: 18; max: 85), with 65.1% females. The percentage of participants with food addiction was 226 (17.8%) in the total sample. A confirmatory factor analysis was run on the one-factor structure among the total sample.ResultsThe fit indices of the confirmatory factor analysis of the scale were excellent. The Cronbach’s alpha value was good for the total scale. The mYFAS-Ar-Leb score was positively and strongly associated with stress, anxiety and depression.ConclusionOur study findings highlighted that the use of the mYFAS-Ar-Leb in Lebanese population might help estimate food addiction prevalence and stress on the need for effective treatment and preventive measures to craving for addictive foods.

The relationship of hedonic hunger with food addiction and obesity in university students

In this study, it was aimed to evaluate the relationship of hedonic hunger with food addiction and obesity in university students. The research sample consists of 275 university students between the ages of 19-28years. Body weight (kg), height (cm), waist and hip circumference (cm) were measured by applying a face-to-face questionnaire including descriptive characteristics of individuals, the Power of Food Scale (PFS), the Palatable Eating Motive Scale (PEMS) and the Modified Yale Food Addiction Scale (mYFAS) 2.0. Statistical analysis of the data was done with SPSS (Statistical Package for Social Sciences) 18. In individuals, according to the mean PFS score the presence of food power-induced hedonic hunger was detected. While according to the mean PEMS score no motivational hedonic hunger was detected. According to the BMI classification the average scores of PFS (p = 0.002), PEMS (p = 0.009), and mYFAS 2.0 (p < 0.001) showed a gradual increase from underweight to obese. A weak positive correlation was found between BMI and PFS score (r = 0.238; p < 0.05) and PEMS score (r = 0.196; p < 0.05), respectively. The moderate positive correlation (r = 0.439 p < 0.001) was found between mYFAS 2.0 and the PEMS scores. As a result, the presence of food-based hedonic hunger was determined in young individuals. A relationship was determined between food addiction and hedonic hunger caused by the motivation to consume delicious foods. Accordingly, hedonic hunger is related to food addiction and obesity in university students. V, cross-sectional descriptive study.

Food Addiction, Weight Perception, Dieting, and Maladaptive Eating Behaviors in U.S. Young Adults: An Observational, Prospective, Nationally Representative Cohort Study

ObjectivesThis study examines relations of food addiction with weight-related and maladaptive eating behaviors in a nationally representative sample of U.S. young adults. MethodsData come from the final annual assessment of the NEXT Generation Health Study, which followed a cohort of U.S. emerging adults from 2010–2017 (year 7 n = 2323, age 22.6 ± 0.5 years, 81% retention). Food addiction was assessed using the modified Yale Food Addiction Scale. Participants self-reported height, weight, weight perception (underweight, about right, overweight), currently attempting weight loss (vs. not), and 10 maladaptive eating behaviors (e.g., self-induced vomiting, laxative use, diet pills). Logistic (rare outcomes) and log-binomial (common outcomes) regression analyses accounting for the complex survey design estimated relations of food addiction with dieting, perceived overweight, and maladaptive eating behaviors. ResultsThe prevalence of food addiction was 4.7% (95% CI: 3.6% –6.2%). Forty-seven percent of young adults (95% CI: 46.9%, 52.1%) reported attempting weight loss; 45.6% reported perceived overweight (95% CI: 40.9%, 50.3%) and 7.1% (95% CI: 4.5%, 11.0%) reported any maladaptive eating behavior. In bivariate regressions, females had greater odds of food addiction, maladaptive eating behaviors, perceived overweight, and attempting weight loss; outcomes were not associated with other sociodemographics. Attempting weight loss (RR = 3.4, 95% CI: 1.7, 7.1, p = .002), perceived overweight (RR = 6.3, 95% CI: 2.9, 13.6, p < .001), and maladaptive eating behaviors (OR = 3.3, 95% CI: 1.7, 6.5, p = .001) were positively associated with food addiction adjusted for sex and weight status. ConclusionsFindings indicate considerable overlap between food addiction, perceived overweight, weight loss attempt, and subclinical maladaptive eating behaviors. Food addiction may be an important consideration in the treatment and management of young adults with multiple aspects of problematic eating. Funding SourcesFunding was provided by the NICHD Intramural Research Program, NIAAA, MCHB of HRSA, and NIDA.

Prevalence of food addiction and its association with anxiety, depression, and adherence to social distancing measures in Brazilian university students during the COVID-19 pandemic: a nationwide study.

The study’s objective was to determine the prevalence of food addiction (FA) in Brazilian university students and to verify whether there is an association with anxiety, depression, and adherence to the social distancing measures adopted during the COVID-19 pandemic. This is a nationwide cross-sectional study carried out through the application of online questionnaires. Self-reported data on age, sex, economic class, race/skin color, anthropometric data, depression diagnosis, anxiety, modified Yale Food Addiction Scale 2.0 (mYFAS 2.0), and adherence to social distancing measures were collected. 5368 participants were included, with a mean age was 24.1 ± 6.3 years, the majority were female (n = 3990; 74.3%), and the mean BMI in our sample was 24.5 ± 5.3 kg/m2. The prevalence of FA was 19.1% (95%CI: 18.0; 20.0%). An association was observed between FA with depression (PR: 1.60; 95%CI: 1.43; 1.78; p < 0.01), and anxiety (3.13; 95%CI: 2.74; 3.58; p < 0.01), but not with adherence to social distancing measures (p = 0.70). In conclusion, there was a higher prevalence of FA in Brazilian university students. Besides, university students with anxiety, depression, overweight, or obesity and females are more prone to FA.Level of evidence Level V, Opinions of authorities, based on descriptive studies, narrative reviews, clinical experience, or reports of expert committees.

Examining impairment and distress from food addiction across demographic and weight groups

Rates of food addiction (FA) vary across weight and demographic groups. Factors influencing discrepant prevalence rates are largely unknown. Rates of clinically significant distress or impairment also vary across demographic groups, yet prior studies have overlooked the diagnostic significance of distress/impairment in heterogenous groups. We tested if weight and demographic groups differed in their likelihood of endorsing distress/impairment from FA. Participants (N = 1832) recruited from Amazon Mechanical Turk completed the modified Yale Food Addiction Scale 2.0 (mYFAS). The mYFAS includes 11 dichotomous symptom indicators and one dichotomous distress/impairment indicator. Differences in distress/impairment were tested across weight, sex, racial/ethnic, and educational groups using logistic regression. FA severity was controlled for using FA symptom count. There were no differences among racial/ethnic and educational groups (p > 0.05). Compared to men, women were more likely to report distress/impairment (aOR = 1.96, 95% CI = 1.28–3.03). People with obesity were more likely to report distress/impairment compared to people with overweight (aOR = 2.20, 95% CI = 1.39–3.49) or normal weight (aOR = 1.99, 95% CI = 1.26–3.13). Individual characteristics (i.e., sex, weight) may influence reporting of distress/impairment from FA. Further inquiry may be appropriate for men and people with normal weight or overweight presenting with FA symptoms who otherwise deny distress/impairment.

Translation of the Chinese version of the modified Yale Food Addiction Scale 2.0 and its validation among college students

BackgroundObesity prevalence has substantially increased in China over the past decade. In China, over 1 in 7 individuals meet the criteria for overall obesity, and 1 in 3 meet the criteria for abdominal obesity, obesity has become a significant problem. Studies have shown that food addiction and obesity are inextricably linked. The modified Yale Food Addiction Scale 2.0 (mYFAS 2.0) is a brief measurement for assessing food addiction. This study aimed to explore the structure of the Chinese version of the mYFAS 2.0 and assess the occurrence of food addiction in a sample of college students in Northeast China.MethodsA cross-sectional design was conducted in a sample of 1099 undergraduate students in Northeast China. Participants completed the sociodemographic questionnaire, the Chinese version of the mYFAS 2.0, the Barratt Impulsiveness Scale (BIS-8), and the Self-Esteem Scale (SES) to test the hypothesis. Exploratory factor analysis and confirmatory factor analysis were performed to examine the underlying factor structure of the mYFAS 2.0. Two weeks later, 62 students who participated in the first test were recruited to evaluate the test–retest reliability.ResultsThe Chinese version of the mYFAS 2.0 demonstrated adequate internal consistency, good test–retest reliability and satisfactory construct validity. The results of the confirmatory factor analysis found that the Chinese version of the mYFAS 2.0 demonstrated a good fit to the two-factor solution identified by the exploratory factor analysis and showed superior fit indices compared to the one-factor model. The prevalence of food addiction in our sample was found to be in line with rates observed in other Asian and Western samples. The mYFAS 2.0 symptom count scores were correlated with BMI, the idea of dieting to lose weight, the desire to overeat, low self-esteem, and impulsivity.ConclusionThe results indicate that the Chinese version of the mYFAS 2.0 has good reliability and validity, and that it can be considered a tool to evaluate the addictive eating behaviours of undergraduate students.

Adult attention-deficit/hyperactivity disorder among alcohol use disorder inpatients is associated with food addiction and binge eating, but not BMI

IntroductionAttention-deficit/hyperactivity disorder (ADHD) is associated with binge eating (BE), food addiction (FA), and obesity/higher BMI in individuals without alcohol use disorder (AUD). ADHD is highly prevalent in patients with AUD, but it is unknown whether the presence of comorbid AUD might change the nature of the association between ADHD, BE, FA and BMI (food and alcohol may either compete for the same brain neurocircuitry or share vulnerability risk factors). Here, we filled this gap by testing the association between ADHD and FA/BE in adult patients hospitalized for AUD, with the strength of simultaneously assessing childhood and adult ADHD. We also investigated the association between ADHD and BMI, and the other factors associated with BMI (FA/BE, AUD severity). MethodsWe included 149 AUD inpatients between November 2018 and April 2019. We assessed both childhood and adulthood ADHD (Wender Utah Render Scale and Adult ADHD Self-Report Scale), FA (modified Yale Food Addiction Scale 2.0), BE (Binge Eating Scale), and BMI and AUD (clinical assessment). ResultsIn multivariable analyses adjusted for age, adult ADHD was associated with higher BE scores (p = .048), but not significant BE (9% vs. 7%; p = .70). ADHD was also associated with FA diagnosis and the number or FA symptoms, with larger effect size for adult (ORs: 9.45[95%CI: 2.82–31.74] and 1.38[1.13–1.69], respectively) than childhood ADHD (ORs: 4.45[1.37–14.46] and 1.40[1.13–1.75], respectively). In multivariable analysis, BMI was associated with both significant BE (p < .001) and FA diagnosis (p = .014), but not adult ADHD nor AUD severity. ConclusionIn patients hospitalized for AUD, self-reported adult ADHD was associated with FA and BE, but not BMI. Our results set the groundwork for longitudinal research on the link between ADHD, FA, BE, and BMI in AUD inpatients.

The association between adult ADHD and food addiction: A mediation analysis

ObjectivesThe aim of this study was to investigate the association between food addiction severity (FA) and ADHD symptomatology. Furthermore, we investigated whether emotional distress, and the mentalization deficits could mediate this relationship. MethodsThree hundred eighty-five Italian adults (307 women and 78 men) participated in the study and completed the Italian versions of the Modified Yale Food Addiction Scale version 2.0, the Adult ADHD Self-Report Scale, the Depression Anxiety Stress Scales 21 and the Mentalization Questionnaire. ResultsADHD symptoms severity and general distress were significantly and independently associated with FA. Emotional distress partly mediated the relationship between FA and ADHD symptoms severity. In addition, mentalization deficits partly mediated this relationship only when evaluating the influence of FA on ADHD symptoms severity. LimitationsThis is a cross-sectional study and causal interpretations of the relationships among the variables are speculative. ConclusionsIt is important to assess emotional distress and mentalization deficits in individuals at risk of ADHD and FA because these conditions could increase the risk for the presence of disordered eating patterns.

Poorer mental health and sleep quality are associated with greater self-reported reward-related eating during pregnancy and postpartum: an observational cohort study

BackgroundDepression, stress, and poor-quality sleep are common during pregnancy and postpartum, but the relationship of these factors with reward-related eating is not well understood. This observational cohort study examines associations of depression, stress, and sleep quality with self-reported reward-related eating in pregnancy and postpartum.MethodsParticipants were enrolled at < 12 weeks gestation and followed through 1 year postpartum. Self-reported measures obtained at baseline and 23–31 weeks postpartum included the Edinburgh Postnatal Depression Scale, Perceived Stress Scale, Pittsburgh Sleep Quality Index; reward-related eating measures included the Power of Food Scale (assessing hedonic hunger), modified Yale Food Addiction Scale (assessing addictive-like eating), and frequency and intensity of cravings. Linear and logistic regression models estimated associations of depressive symptoms, stress, and sleep quality with reward-related eating during pregnancy and postpartum, as well as change in each predictor with change in outcome.ResultsDuring pregnancy, greater depressive symptoms (β ± SE = 0.03 ± 0.01, p < .01), higher stress (0.03 ± 0.01, p < .01), and worse sleep quality (0.03 ± 0.01, p = 0.03) were associated with greater hedonic hunger. Similarly, greater depressive symptoms (OR = 1.08, 95% CI: 1.02, 1.14, p = .01), higher stress (OR = 1.09, 95% CI: 1.04, 1.14, p = <.01), and worse sleep quality (OR = 1.09, 95% CI: 1.00, 1.18, p = .04) were associated with greater odds of addictive-like eating. These associations were also significant in postpartum except that sleep quality was not associated with hedonic hunger. Greater depressive symptoms (β ± SE = 0.06 ± 0.02, p < .01; 0.08 ± 0.02, p = <.01), higher stress (0.04 ± 0.01, p < .01; 0.06 ± 0.02, p < .01), and worse sleep quality (0.11 ± 0.03, p < .01; 0.13 ± 0.03, p < .01) during pregnancy were associated with stronger and more frequent cravings, respectively. Increased depressive symptoms from pregnancy to postpartum was associated with increased hedonic hunger (β ± SE = 1.17 ± 0.57, p = 0.01) and addictive-like eating (0.88 ± 0.33, p = 0.01), and increased stress was associated with increased hedonic hunger (1.71 ± 0.76, p = 0.02). Change in stress was not associated with change in addictive-like eating and change in sleep quality was not associated with change in either hedonic hunger or addictive-like eating.ConclusionsGreater depressive symptoms, perceived stress, and poorer sleep quality are associated with greater self-reported reward-related eating during pregnancy and postpartum, suggesting that efforts to improve diet during and after pregnancy may benefit from addressing mental health and sleep.Trial registrationClinicaltrials.govRegistration ID – NCT02217462.Date of registration – August 13, 2014

Distress-driven impulsivity interacts with cognitive inflexibility to determine addiction-like eating.

BackgroundResearchers are only just beginning to understand the neurocognitive drivers of addiction-like eating behaviours, a highly distressing and relatively common condition. Two constructs have been consistently linked to addiction-like eating: distress-driven impulsivity and cognitive inflexibility. Despite a large body of addiction research showing that impulsivity-related traits can interact with other risk markers to result in an especially heightened risk for addictive behaviours, no study to date has examined how distress-driven impulsivity interacts with cognitive inflexibility in relation to addiction-like eating behaviours. The current study examines the interactive contribution of distress-driven impulsivity and cognitive inflexibility to addiction-like eating behaviours.MethodOne hundred and thirty-one participants [mean age 21 years (SD = 2.3), 61.8% female] completed the modified Yale Food Addiction Scale, the S-UPPS-P impulsivity scale, and a cognitive flexibility task. A bootstrap method was used to examine the associations between distress-driven impulsivity, cognitive inflexibility, and their interaction with addiction-like eating behaviours.ResultsThere was a significant interaction effect between distress-driven impulsivity and cognitive flexibility (P = 0.03). The follow-up test revealed that higher distress-driven impulsivity was associated with more addiction-like eating behaviours among participants classified as cognitively inflexible only.ConclusionThe current findings shed light on the mechanisms underlying addiction-like eating behaviours, including how traits and cognition might interact to drive them. The findings also suggest that interventions that directly address distress-driven impulsivity and cognitive inflexibility might be effective in reducing risk for addiction-like eating and related disorders.

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.

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. 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. 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). 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 V, cross-sectional descriptive study.

Validation of the Czech Modified Yale Food Addiction Scale in a Representative Sample of Adolescents: Connections with Body Mass Index and Impulsivity

Validation of the Czech Modified Yale Food Addiction Scale in a Representative Sample of Adolescents: Connections with Body Mass Index and Impulsivity

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

BackgroundNeurobehavioral 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.MethodsParticipants 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.ResultsPregnancy 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).ConclusionsAssociations 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 registrationClinicaltrials.gov. URL – Registration ID – NCT02217462. Date of registration – August 13, 2014.

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

BackgroundThe 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. ObjectiveThe 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. DesignEAH 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 settingData 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. InterventionParticipants were presented with highly processed and minimally processed foods in two separate assessments. Main outcome measuresEnergy 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 performedLinear mixed models estimated the effect of condition on EAH. Hedonic hunger, addictive-like eating, impulsivity and their interaction were examined separately. ResultsEAH-% 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. ConclusionsEAH 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.