Adult Eating Behavior Research Articles

The Arabic Version of the Adult Eating Behavior Questionnaire among Saudi Population: Translation and Validation.

Inherited individual differences in eating behaviors known as "appetitive traits" can be measured using the Adult Eating Behavior Questionnaire (AEBQ). The AEBQ can be used to assess individuals that require intervention regarding their weight, eating habits, and for the identification of eating disorders. Arabic eating behavior assessment tools are few. This study, therefore, aimed to translate and validate the AEBQ in Arabic language (AEBQ-Ar) and to confirm the factor structure while assessing the internal consistency of all subscales. Participants completed the AEBQ-Ar and reported their sociodemographic data online. Exploratory factor analysis (EFA) was used and internal reliability was assessed using Cronbach's α. Correlations between AEBQ-Ar subscales and body mass index (BMI) were done using Pearson's correlation. A sample of 596 adults, mean age of 35.61 ± 12.85 years, was recruited from Saudi Arabia. The 6-factor structure was the best model, excluding emotional under- eating subscale and merging enjoyment of food and food responsiveness subscales. Internal consistency was acceptable for all subscales (Cronbach's α = 0.89-0.66). Emotional over- eating was positively associated with BMI, and slowness in eating was negatively associated with BMI. The AEBQ-Ar with 6-subscales appears to be a valid and reliable psychometric questionnaire to assess appetitive traits in Arabic speakers.

An exploration of eating behaviours and caregiver mealtime actions of children with Tourette syndrome.

Food avoidant behaviours are common concerns amongst individuals with Tourette syndrome, with high levels of food selectivity reported in children and food neophobia and avoidant restrictive eating behaviours in adults. However, less is known about food approach behaviours. The current study aimed to explore differences in food approach and food avoidant eating behaviours in children with Tourette syndrome (TS) and their relationship to caregiver mealtime actions. Thirty-seven caregivers of children with Tourette syndrome were compared with children with Autism Spectrum Disorders, children with Attention-Deficit/Hyperactivity Disorder and a control group. Caregivers completed the Child Eating Behaviour Questionnaire and Parent Mealtime Action Scale-Revised. Caregiver-reported findings revealed that children with Tourette syndrome exhibited more food approach behaviours, specifically greater food responsiveness, emotional overeating and desire to drink, compared to controls. Children from the three neurodiverse groups had similar levels of emotional overeating and food selectivity, which were all significantly higher than the control group. Positive persuasion was uniquely identified as a mealtime strategy adopted by caregivers of children with Tourette syndrome. The results suggest that children with Tourette syndrome are at more risk of showing a broader array of food difficulties than previously reported, including food avoidant and approach behaviours. It is encouraged that clinicians monitor eating behaviour in appointments with children with Tourette syndrome.

Food Intake Changes and Their Impact on Quality of Life in Spanish Citizens with and without COVID-19 during Lockdown.

The pervasive impact of the COVID-19 pandemic is just beginning to be analyzed. To date, only a handful of these studies have investigated the relationship between an individual’s quality of life (QoL) and their changes in food intake due to the virus (from the associated symptomatology of diagnosis to the universal impact of lockdown on individual lives, regardless of a person’s health status). Therefore, the purpose of this study is to identify changes in food intake resulting from the pandemic and the corresponding impact on QoL in the Spanish population. This study focuses its investigation on the 3-month time period within which lockdown was its most restrictive, March–May 2020. Survey questions ask participants to compare their eating habits, general health status, and QoL during these 3 months to times prior to the pandemic. We conducted an online survey amongst the Spanish population over 18 years old. Three surveys were administered: (1) the adult eating behavior questionnaire (EABQ), (2) EuroQoL-5D-5L, and (3) The determinants lifestyle changes during lockdown period (March to May 2020). A total of 86 participants were included, with a mean age of 34 years. In the analysis of QoL, significant differences were found according to age, sex, and the presence of a COVID-19 diagnosis. Likewise, in the analysis of food intake, significant differences were found by age (greater changes in the 18–29-years-old population) (p< 0.01) and by sex (women p < 0.03), as well as greater changes in those with a diagnosis of COVID-19. Furthermore, both food intake and COVID-19 diagnosis were variables that predicted QoL outcomes. In sum, forced home lockdown can cause changes in food intake, which can predict a lower QoL. It follows that the lockdown situation caused by the worldwide COVID-19 pandemic has affected the food intake and overall QoL of the Spanish population.

Development of Novel Eating Error Scoring Tool to Evaluate Adult Eating Behavior Anomalies Among the United Arab Emirates Population.

IntroductionMaladaptive eating behaviors are emerging as the most significant determinants of obesity with a promising role in intervention. In the absence of a standardized tool to assess eating variations, an Eating Error Score (EES) tool was devised which comprised five zones for evaluating the severity of obesogenic behaviors as well as the specific area(s) with the highest susceptibility. This pilot study was aimed at evaluating the effectiveness of the EES in quantitating the eating behavior errors associated with excess weight and identifying the most affected zones.MethodsThe EES questionnaire was designed to explore potential disturbances in five zones of eating behavior related to the impetus to eat (Munger), meal choices and attentiveness to cravings (Impulsive), consumption speed (Speed feeding), cues to stop ingestion (Indulgent) and the social aspect of eating (Relationship). The questionnaire was conducted on adults with varying body mass index (BMI) attending governmental outpatient clinics. The correlation between EES and BMI was determined through Pearson Coefficient.ResultsA total of 204 participants completed the EES questionnaire. There were 72 males and 132 females with a mean BMI of 27.63 ± 6.16 kg/m2 and with nearly equal distribution between normal weight (37.2%), overweight (32.4%), and obese (29.4%) individuals. Nearly 75% of our cohort had a moderate total EES, and the remainder was equally distributed between the mild and severe ranges.A weak but significant correlation was observed between total EES and BMI (r=0.275, p<0.001) suggesting increasing obesogenic styles in participants with excess weight. In addition, a similar weak but significant correlation was noted between Body Mass Index and the Munger and Impulsive zones (r=0.266 and 0.258 and p<0.001, respectively) suggesting more severe maladaptive eating behaviors in these areas. No correlation was found with the Speed feeding, Indulgent, and Relationship zones.ConclusionThe EES may be a useful tool for assessing the extent of maladaptive eating behaviors, which predispose individuals to weight gain and sabotage their weight loss efforts. Undoubtedly, the utility of the tool needs to be corroborated in large population studies. Further, identifying the specific operant zones may show promise as many of these habits are potentially modifiable and can be targeted for weight control, most notably those associated with the Munger and Impulsive zones.

Psychometric Properties of the Persian Version of Adult Eating Behavior Questionnaire in Patients with Epilepsy.

Background: Adult eating behavior questionnaire (AEBQ) is an age upward extension tool that measures appetite traits in individuals. This instrument was developed by Hunot in 2016. The present study aimed to determine the psychometric properties of the Persian version of AEBQ in adults with epilepsy.Methods: The current research is a cross-sectional study conducted in 2019 in Iran. 700 adults with epilepsy completed the 35-item AEBQ. Qualitative face validity, qualitative content and structure validity (exploratory factor analysis [EFA], N=400, and confirmatory factor analysis [CFA], N=300) appetitive traits were evaluated. Reliability was also measured using Cronbach’s alpha, Construct reliability (CR), and Intra-Class Correlation (ICC). The SPSS 26-AMOS24 software was employed to analyze the data with a significance level of 0.05.Results: The EFA and CFA results comprised eight factors, namely enjoyment of food, emotional over-eating, food responsiveness, hunger, satiety responsiveness, emotional under-eating, food fussiness, and eating slowly. Indices of root mean square error of approximation=0.068, parsimonious normed fit index=0.644, parsimonious comparative fit index=0.671, adjusted goodness of fit index=0.618, goodness of fit index=0.911, and Chi square degree-of-freedom ratio (normalized Chi square CMIN/DF=2.842) confirmed the fitness of the final model. Convergent and divergent validity was acceptable for all the factors. The results revealed that the internal stability>0.8 and CR>0.7 of the eight extracted AEBQ structures are confirmed. The ICC was 0.899 (95% CI: 0.878-0.917; P<0.001). The results also showed that AEBQ has acceptable convergent and divergent validity.Conclusion: The eight-factor structure of AEBQ can measure eating behavior traits and is of good validity and reliability for assessing the eating behavior of Iranian adults with epilepsy.

Validity of the Adult Eating Behavior Questionnaire and Its Relationship with Parent-Reported Eating Behaviors among Adolescents in Portugal.

The Adult Eating Behavior Questionnaire (AEBQ) is a tool developed in the UK, used in the investigation of appetitive traits in adults and adolescents, and later validated in a number of countries. To date, the validity of the AEBQ has not been tested on Portuguese-speaking popula-tions. The aim of this study was to validate the AEBQ in a sample of Portuguese adolescents. Participants were 4483 13-year-olds enrolled in the population-based cohort study Generation XXI. Appetitive traits were self-reported by adolescents through the AEBQ and parents also reported adolescent eating behaviors. Confirmatory and exploratory factor analyses were conducted. Construct validity was tested through correlations between AEBQ subscales and parent-reported eating behaviors, and linear regressions between AEBQ subscales and adolescent body mass index z-scores were performed. Adequate internal consistency and several associations with parent-reported eating behaviors and measured adolescent body mass index z-scores were found. This study supports the validity of a five-factor AEBQ (Food Responsiveness and Enjoyment of Food; Slowness in Eating; Food Fussiness; Emotional Over- and Undereating) to measure appetitive traits among Portuguese adolescents and provides a convenient and easy-to-use tool to be used in large-scale research.

Night eating, weight, and health behaviors in adults participating in the Daily24 study

BackgroundNight eating syndrome (NES) is associated with adverse health outcomes. This study evaluated the relationship between night eating severity, weight, and health behaviors. MethodsParticipants (N = 1017; 77.6% female, mean Body Mass Index (BMI) = 30.5, SD = 7.8 kg/m2, age = 51.1, SD = 15.0 years) were recruited from three health systems. Participants completed the Night Eating Questionnaire (NEQ) and questionnaires assessing sleep, chronotype, physical activity, diet, weight, and napping. ResultsIn the overall sample, higher NEQ scores were associated with higher BMI (p < .001) and consumption of sugar-sweetened beverages (p < .001), as well as lower fruit/vegetable consumption (p = .001). Higher NEQ scores were associated with increased odds of having overweight/obesity (p < .001), eating fast food (p < .001), moderate-vigorous physical activity (p = .005), and smoking (p = .004). Participants who exceeded the screening threshold for NES (n = 48, 4.7%) reported elevated BMI (p = .014), an increased likelihood of overweight/obesity (p = .004), greater sugar-sweetened beverages consumption (p < .001), napping less than twice per week (p = .029), shorter sleep duration (p = .012), and a later chronotype (M = 4:55, SD = 2:45). ConclusionNight eating severity was associated with obesity and intake of fast food and sugar-sweetened beverages. Interventions to address night eating and associated behaviors may enhance the efficacy of weight management interventions and promote engagement in positive health behaviors.

The Relationship between Eating and Screen Viewing Behavior with Nutritional Status of Adolescents in Medan City

Adolescents are vulnerable to experiencing malnutrition issues, both overnutrition and undernutrition. This study’s objective was to determine the relationship between eating and screen viewing behaviour and with nutritional status of adolescents. This study used a cross-sectional design with 145 adolescents chosen through the purposive sampling method. The samples were divided into three categories: early adolescents, middle adolescents, and late adolescents, and data on eating behaviour were obtained by using Adult Eating Behavior Questionnaire (AEBQ). The screen viewing behavior variable had two categories: low screen time and high screen time. Adolescent body mass index z-scores measured nutritional status. This study was conducted from June to August 2022. Results showed 5.5% underweight participants, 18.6% subject overweight participants, and 22.8% obese participants of the total participants. Spearman’s tests showed that there was a significant relationship between eating behaviour and nutritional status (p&lt;0.05) only on two subscales of appetite traits (emotional overeating and food responsiveness) in early adolescents. Likewise, in late adolescents, there was a significant relationship between eating behaviour and nutritional status (p&lt;0.05) only with emotional undereating. There was no significant relationship between screen viewing behaviour and nutritional status in all categories of adolescents. The highest prevalence of obesity was found in early adolescents, and it influenced the adolescent’s eating behavior such as emotional overeating. While in late adolescents, malnutrition cases were more or less common due to emotional undereating.

Eating Behavior of Students at the Technical University of Moldova during the Isolation Period

Appetizing peculiarities are formed from childhood and can vary throughout life. Although they are conditioned by genetic factors, over time, the internal regulation of eating behaviors is reduced, being influenced by a complex interaction of various external factors. According to the Behavioral Susceptibility (BST) Theory of Obesity, Food Sensitivity in Response to Food Stimuli (such as Food Sight and Smell) and Satiety Responsiveness (i.e. the ability to adjust diet in response to internal feelings of satiety) contribute to individual differences in terms of energy intake and weight status. The present research intended to assess the eating patterns and behavior of Moldovan students, especially those from Technical University of Moldova during the social isolation imposed by the COVID-19 pandemic. The study was conducted, based on the questionnaires (AEBQ—Adult Eating Behavior Questionnaire), on a group of 602 students from Technical University of Moldova. Participation in the survey was entirely voluntary, did not involve any invasive procedure, nor did it induce changes in participants’ food patterns. The obtained results could contribute to the formation of the database for the study of the behavioral phenotype associated with the risk of obesity, but also for the study of eating behavior in crises. The questionnaire was distributed, in the form of a link, on the corporate emails of all TUM students. Respondents completed the questionnaire on the Google platform between 13.10.2021 - 25.11.2021, and the final database has been downloaded as a Microsoft Excel file. It was established a positive correlation between, Emotional Over-Eating and Emotional Under-Eating. Nervousness and anger were the most incriminating emotions of students that would cause both overeating and under eating. The results of the AEBQ questionnaire appear to be largely in line with previous studies, and the collected data present interest, in particular to prevent the risk of obesity.

Eating Pattern and Eating Behavior during Covid-19 Pandemic: Survey on Adults who Work from Home

Covid-19 pandemic impacts many changes in daily life, either in health, social, economic, and psychological context. People will be most likely to change the way they live their life every day, including in eating and working. This research aims to describe empirically how was the eating pattern and eating behavior on adults who work from home (WFH) during Covid-19 pandemic. Instruments used in this research were The Eating Pattern Questionnaire and The Eating Behavior Questionnaire, adapted from The Adult Eating Behavior Questionnaire (He, Jinbo, et.al., 2019). Total of 338 respondents (age mean = 35,13 years old; 69.8% female) from various professional backgrounds across Indonesia had completed the questionnaires. Results based on descriptive statistical analysis implied most of respondents had experience changes in eating pattern while WFH, such as: more food consumption, increased snack time, less consumption of fruit and vegetables, and less physical exercise. Changes in eating behavior, namely: 1) enjoy meal time more; 2) more excited to try new variants of food; 3) feel more uncomfortable for delayed meal-time; 4) get hungry more easily; and 5) think more about food when not busy. This research sets the foundation for regulation or intervention strategy in healthy eating behavior as a notable indicator for either nutritional and mental health status. &#x0D;

Concurrent Validity of the Adult Eating Behavior Questionnaire in a Canadian Sample.

The current study aimed to test the factor structure of the Adult Eating Behavior Questionnaire (AEBQ), its construct validity against the Three-Factor Eating Questionnaire (TFEQ-R18) and its associations with body mass index (BMI) in Canadian adults (n = 534, 76% female). Confirmatory factor analysis (CFA) revealed that a seven-factor AEBQ model, with the Hunger subscale removed, had better fit statistics than the original eight-factor structure. Cronbach’s alpha was used to assess the internal reliability of each subscale and resulted with α > 0.70 for all subscales except for Hunger (α = 0.68). Pearson’s correlations were used to inform the convergent and discriminant validation of AEBQ against the TFEQ-R18 and to examine the relationship between AEBQ and BMI. All AEBQ Food Approach subscales positively correlated with that of the TFEQ-R18 Emotional Eating and Uncontrolled Eating subscales. Similarly, BMI correlated positively with Food Approach subscales (except Hunger) and negatively with Food Avoidance subscales (except Food Fussiness). These results support the use of a seven-factor AEBQ for adults self-reporting eating behaviors, construct validity of the AEBQ against TFEB-R18, and provide further evidence for the association of these traits with BMI.

Is the duration of breastfeeding associated with eating behavior in early childhood?

IntroductionEating behavior can be defined as the relationship between human and food and involves a multifaceted network of genetic and environmental influences. The eating behavior acquired in childhood, when dysfunctional, can affect children's health and seems to influence adult eating behavior. This study aimed to analyze the breastfeeding influence on eating behavior in early childhood. MethodsIn this longitudinal observational study, data about sociodemographic and breastfeeding practices were collected through questionnaire developed by the researchers and eating behavior was assessed with the Children's Eating Behavior Questionnaire when the children have 3–5 years of age. This instrument was divided into ‘food approach’ and ‘food avoidant’ scales, with 'food approach' being linked to overweight/obesity and 'food avoidant' to selectivity. ResultsData on 107 mother-child pairs were analyzed, of whom 98.1% (n= 105) were breastfed and 46.7% (n= 50) received infant formula. There was a significant association between lower scores in the ‘food approach’ scale, eating behavior, and total breastfeeding duration > 6 months (p= 0.033), as well, as with exclusive breastfeeding duration > 3 months (p= 0.001). This relationship was confirmed in a linear regression model, after adjusting for sociodemographic variables and infant nutritional status. It was observed that a one-day increase in total breastfeeding and exclusive breastfeeding was associated with a -0.044 decrease in total score on the ‘food approach’ scale ([95% CI: -0.08; -0.01]; p= 0.027 and [95% CI: -0.08; -0.01]; p= 0.010, respectively). ConclusionThe total and exclusive breastfeeding duration are related to child feeding behavior, while a longer period of breastfeeding can be an influencing factor against ‘food approach’ scale.

Food approach and avoidance appetitive traits in university students: A latent profile analysis

Eating behaviors are influenced by many factors including appetitive traits. Few studies have utilized latent profile analysis (LPA) to examine food approach and food avoidance appetitive traits. This study utilized LPA to define cluster profile groups based on appetitive traits in undergraduate and graduate/professional students at a large University in the southwest United States. Students completed a cross-sectional online survey in fall 2020 assessing demographic information, appetitive traits via the Adult Eating Behavior Questionnaire (AEBQ), and anxiety via the Generalized Anxiety Disorder Scale (GAD-7; higher scores indicate more severe anxiety symptoms). Appetitive traits were combined into eight scales (four food approach and four food avoidance traits). Latent profile analyses were conducted to identify homogenous subgroups of participants based on AEBQ scale scores. The final sample included 1243 students (mean age = 26.5 years, 73% female, 59% White, 57% undergraduates). LPA revealed four cluster profile groups: Cluster 1 (moderate eaters: lower than mean scores for food approach and avoidance traits), Cluster 2 (food seekers and avoiders: higher than mean scores for food approach and avoidance traits), Cluster 3 (food seekers: higher than mean scores for food approach traits), and Cluster 4 (food avoiders: higher than mean scores for food avoidance traits). Distribution of age, gender, race/ethnicity, and student status differed significantly between clusters. GAD-7 score was highest in Cluster 2 (food seekers and avoiders) and lowest in Cluster 1 (moderate eaters). Among the four LPA-defined cluster profile groups, students who endorsed both food approach and avoidance traits reported more severe anxiety symptoms compared to moderate eaters, food seekers, and food avoiders. It is useful to consider clusters of appetitive traits instead of individual appetitive traits when examining associations with physical and mental health.

Does self-monitoring diet and physical activity behaviors using digital technology support adults with obesity or overweight to lose weight? A systematic literature review with meta-analysis.

Establish whether digital self-monitoring of diet and physical activity is effective at supporting weight loss, increasing physical activity and improving eating behavior in adults with obesity or overweight, and determine the intervention components that might explain variations in its effectiveness. A systematic search of MEDLINE, Embase, PsycINFO, Web of Science, Scopus, Cinahl, and CENTRAL identified 4068 studies, of which 12 randomized controlled trials were eligible and included in the review. A random-effect meta-analysis evaluated intervention effectiveness and subgroup analyses tested for effective intervention content. Twelve studies were included in the review and meta-analysis. Digital self-monitoring of both diet and physical activity had a statistically significant effect at supporting weight loss (mean difference [MD] = -2.87 [95% CI -3.78, -1.96], P < 0.001, I2 = 69%), improving moderate physical activity (standardized mean difference [SMD] = 0.44 [95% CI 0.26, 0.62], P < 0.001, I2 = 0%), and reducing calorie intake (MD = -181.71 [95% CI -304.72, -58.70], P < 0.01, I2 = 0%). Tailored interventions were significantly more effective than nontailored interventions (x2 = 12.92, P < 0.001). Digital self-monitoring of physical activity and diet is an effective intervention to support weight loss in adults with obesity or overweight. This effect is significantly associated with tailored advice. Future studies should use rigorous designs to explore intervention effectiveness to support weight loss as an adjunct to weight management services.

Anxiety is associated with appetitive traits in university students during the COVID-19 pandemic

BackgroundCOVID-19 has impacted mental health globally, however, associations between anxiety and appetitive traits during the pandemic are unreported. This study evaluated anxiety symptom severity and associations with appetitive traits in students at a large public University in the U.S. during the pandemic.MethodsCurrent undergraduate and graduate/professional students completed a cross-sectional survey in fall 2020. Demographic information, anxiety symptoms in the past 2 weeks assessed by the Generalized Anxiety Disorder Scale (GAD-7), and appetitive traits assessed by the Adult Eating Behavior Questionnaire (AEBQ) were evaluated. Mean scores for eight AEBQ scales (four food approach and four food avoidance traits) were calculated. Differences in mean scores were examined between participants with moderate to severe anxiety symptoms (GAD-7 score ≥ 10) and those with mild to no anxiety symptoms (GAD-7 score < 10) via independent samples t-tests and effect sizes. Associations between GAD-7 score and individual appetitive traits were also examined, adjusting for age and gender.ResultsOf the 1243 students who completed the survey (57% undergraduates; mean age = 26.5 years), 51.9% reported moderate to severe anxiety symptoms. Groups experiencing the highest degree of moderate to severe anxiety symptoms included transgender, gender fluid, and other-gendered participants (73.6%); the youngest age group [18–20 years (62%)]; undergraduate students (60.7%); and Hispanic/Latinx participants (57.7%). Participants with moderate to severe anxiety symptoms had higher scores for most food approach and avoidance traits but lower scores for enjoyment of food than those with mild to no anxiety symptoms. Effect sizes were largest for hunger and emotional over-eating (Cohen’s d = 0.31 and 0.30, respectively). Adjusting for age and gender, GAD-7 score was significantly and positively associated with hunger, emotional over-eating, food and satiety responsiveness, and food fussiness and negatively associated with enjoyment of food.ConclusionsOver half of students at a U.S. University reported moderate to severe anxiety symptoms during COVID-19. More severe anxiety symptoms were associated with increased hunger, emotional over-eating, and food and satiety responsiveness and decreased enjoyment of food. Universities must consider strategies to address anxiety, particularly in younger students; transgender, gender fluid, and students of other genders; and across race/ethnicities keeping in mind associations with appetitive traits.

Olfactory Performance in Youth With Full and Subthreshold Avoidant/Restrictive Food Intake Disorder

Background: Avoidant/restrictive (A/R) food intake disorder (ARFID) is characterized by restrictive eating defined by lack of interest in food, sensory sensitivity, and/or fear of aversive consequences of eating resulting in a failure to meet adequate nutritional and/or energy needs. The complex psychopathology that differentiates ARFID from other eating disorders highlights the need to explore the role of sensory systems in disease etiology. Olfaction has an important role in eating behavior. Specifically, olfactory dysfunction is associated with decreased food intake and appetite. Olfactory performance and associated clinical characteristics have yet to be examined in individuals with ARFID. We hypothesized that higher levels of PYY, which signals satiety, would be associated with poorer olfactory performance; whereas greater food fussiness and A/R eating severity would be associated with stronger olfactory performance. Methods: We evaluated a cross-sectional sample of children and adolescents with full and subthreshold ARFID (n=82, 46.2% female, mean age 15.8±3.8). We measured olfactory performance with the Sniffin’ Sticks test (Burghardt®, Wedel, Germany) which captures odor discrimination, odor identification, and odor threshold. Higher scores on all three indices represent stronger olfactory performance. We also measured fasting serum PYY; severity of A/R eating on the Pica, ARFID and Rumination Disorder Interview (PARDI); and food fussiness as a measure of food-related sensory sensitivity on the Adult Eating Behavior Questionnaire. Statistical analyses included T-test and spearman’s correlations. Results: Greater fasting serum PYY levels were associated with significantly poorer performance on the odor threshold test (r=-0.4, p=0.003). Greater severity of A/R eating (r=-0.3 p=0.008) and food fussiness (r=-0.2, p=0.03) were both associated with significantly poorer performance on the odor discrimination test. Conclusions: As predicted, we found that higher levels of PYY were associated with poorer olfactory performance in youth with full and subthreshold ARFID. However, contrary to hypotheses, we found that greater food fussiness and severity of A/R eating were associated with poorer olfactory performance. Future research should investigate whether high levels of PYY and poor olfactory performance are causes, consequences, or correlates of A/R eating.

Validity of the Adult Eating Behavior Questionnaire for adolescents treated in a weight management clinic.

The Child and Adult Eating Behavior Questionnaires (CEBQ, AEBQ) are established measures of eating behaviors. However, no similar measure is available for adolescents. Prior research has validated the AEBQ in adult samples, and one study has explored using the measure with adolescents. However, no studies to date have examined the validity of the AEBQ in adolescent clinical populations. Furthermore, no studies have examined associations between the AEBQ and indicators of health status in adolescents. A total of 280 adolescents (12-17 years old, 60% female) seen in a pediatric weight management clinic completed the AEBQ at intake. Confirmatory factor analysis (CFA) was conducted with AEBQ items to evaluate the model fit of one-, two-, seven-, and eight-factor structures. Intercorrelations between scale scores from AEBQ Food Approach and Food Avoidance domains were calculated. Associations of AEBQ scales with body mass index (BMI) and binge-eating behaviors were examined using Spearman Rho correlations and independent t-tests. CFAs revealed that the best fitting model was a seven-factor structure excluding the Hunger scale, although overall model fit was only marginally acceptable (X2 = 980.94, CFI = 0.925, TLI = 0.915, RMSEA = 0.074). Intercorrelation analyses indicated that all Food Approach scales were significantly associated with one another (r = 0.243-0.654); Food Avoidance scales were inconsistently correlated (r = 0.034-0.439). No AEBQ scales were correlated with BMI (r = -0.101-0.082). Stronger links were found with binge eating; higher frequency binge-related behaviors were associated with higher Food Approach scores. The seven-factor structure of AEBQ demonstrates a marginally acceptable fit for treatment-seeking adolescents with obesity. The Food Approach scales demonstrated more convergent validity than the Food Avoidance scales. The Food Approach scales also exhibited some clinical utility for identifying patients with increased risk for binge eating, which is a common target for behavioral intervention. Implications for maximizing the AEBQ's potential for assessing eating behaviors in adolescents with obesity are discussed.

Development and validation of the Reasons Individuals Stop Eating Questionnaire (RISE-Q): A novel tool to characterize satiation

A variety of factors can influence satiation, and individual differences in reasons for meal termination may help to explain variability in food intake and susceptibility to overconsumption. We developed and validated a questionnaire to characterize the Reasons Individuals Stop Eating (RISE-Q). The initial RISE-Q was created by reviewing the published literature and identifying 47 reasons why individuals might stop eating. The RISE-Q asks respondents to rate how often each reason influences why they stop eating at a typical dinner meal by using a seven-point scale. Adults (N = 477, 77% women) from a participant database completed a survey online that included the initial RISE-Q and the satiation-related Satiety Responsiveness and Food Responsiveness scales of the Adult Eating Behavior Questionnaire (AEBQ). Self-reported height and weight were collected to calculate body mass index (BMI). The survey also assessed self-reported typical meal size. After factor analysis, the RISE-Q retained 31 items and identified five distinct scales of reasons for stopping eating: Decreased Food Appeal (mean ± SD: 2.6 ± 0.05, Cronbach's α = 0.89), Physical Satisfaction (5.0 ± 0.04, α = 0.85), Planned Amount (4.4 ± 0.05, α = 0.82), Self-Consciousness (2.4 ± 0.05, α = 0.88), and Decreased Priority of Eating (2.3 ± 0.04, α = 0.69). Thus, the most frequently reported reasons for meal termination were related to Physical Satisfaction and Planned Amount. Each RISE-Q scale was significantly correlated with at least one of the satiation-related AEBQ scales, suggesting that the RISE-Q has construct validity. RISE-Q scales were also correlated with BMI and measures of typical meal size. The RISE-Q provides a novel tool to assess differences across individuals in reported reasons for eating cessation. The RISE-Q can aid in further understanding risk factors for overconsumption and has potential clinical utility in the design of targeted weight-management interventions.

Appetitive Traits in a Population-Based Study of Polish Adolescents within the PLACE-19 Study: Validation of the Adult Eating Behavior Questionnaire.

Appetitive traits of food approach or food avoidance are commonly measured using the Adult Eating Behavior Questionnaire (AEBQ). However, there is no Polish version of the AEBQ validated for adolescents, and to the best of our knowledge, no study completed with the Polish version of the AEBQ has been published thus far. The present study aimed to validate the AEBQ in a population-based sample of Polish secondary school students and to assess differences in appetitive traits between boys and girls within the Polish Adolescents’ COVID-19 Experience (PLACE-19) Study. The PLACE-19 Study was conducted in a group of 2448 adolescents recruited in May 2020 through the random quota sampling of secondary schools. The AEBQ was used to assess food approach subscales (Food Responsiveness, Emotional Over-Eating, and Enjoyment of Food) and food avoidance subscales (Satiety Responsiveness, Emotional Under-Eating, Food Fussiness, and Slowness in Eating). To validate the questionnaire, the standardized factor loadings within confirmatory factor analysis (CFA) with weighted least squares (WLS) were analyzed, and invariance was verified. The CFA presented good model fit, with χ2 = 4826.105 (degrees of freedom (df) = 384), root mean square error of approximation (RMSEA) = 0.069 (90% confidence interval (CI): 0.067, 0.070), comparative fit index (CFI) = 0.90, and standardized root mean square residual (SRMR) = 0.08. The results revealed that, compared to the configural invariance model, the metric invariance model did not result in significantly decreased model fit, with ΔCFI = −0.002 and ΔRMSEA = −0.001, which were lower than the recommended cutoffs of 0.010 and 0.015, respectively. The scalar invariance model also did not result in significantly decreased fit of the model over the metric invariance model, with ΔCFI = −0.005 and ΔRMSEA = 0.000. Girls reported higher levels of Food Responsiveness (p < 0.0001), Emotional Over-Eating (p < 0.0001), Satiety Responsiveness (p < 0.0001), Emotional Under-Eating (p < 0.0001), and Slowness in Eating than boys (p < 0.0001), and the total AEBQ scores of girls were also higher (p < 0.0001). Positive inter-correlations were observed between all food approach subscales, as well as between Emotional Under-Eating and all food approach subscales for girls, boys, and the total sample; positive inter-correlations were also observed between the majority of food avoidance subscales. The present study confirmed the validity of the AEBQ in the studied population, and supported the associations between appetitive traits assessed using the AEBQ; it also indicated higher scores of both food approach and food avoidance subscales in girls than in boys in a population-based sample of Polish secondary school students.

Food insecurity is linked to poorer dietary quality in prebariatric surgery patients.

Research exploring dietary quality patterns within bariatric populations is limited, despite the significance of eating behaviors for postoperative outcomes. Recent studies revealed associations between food insecurity and disordered eating behavior in bariatric patients; however, the relationship between food insecurity and dietary quality is not known. To examine the association between dietary quality and levels of food security within a sample of presurgical bariatric patients. One academic medical center in central Pennsylvania, United States of America. Patients completed three self-report measures as part of their presurgical psychological assessment process. Food security status was measured by the United States Department of Agriculture's Food Security Module, modified for self-reports. Participants also completed the Rapid Eating Assessment for Participants, short version, which is a measure of dietary quality with scores ranging from 13-39, and the Adult Eating Behavior Questionnaire. Hierarchical multiple regressions were used to assess relationships between dietary quality and food security levels, and mediation models were built to explore associations between variables. Of the 197 participants, 35.5% reported high food security, while 35.0% and 29.5% reported marginal food security and food insecurity, respectively. Compared with patients with high food security, the dietary quality scores of food-insecure patients were 1.3 points lower (95% confidence interval [CI], -3.3 to .7; P = .2) of and marginally food-secure patients were 1.2 points lower (95% CI, -2.9 to .5) than those reporting high food security (P = .2). Our findings indicate a need for further exploration into the barriers that prebariatric patients may face when attempting to adhere to pre- and postoperative dietary requirements, particularly for those reporting marginal food security and food insecurity. Future research should target postoperative outcomes, including weight gain, weight regain, and dietary adherence, among the most economically vulnerable bariatric patients.