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

Negative emotional eating patterns in Chinese adolescents: A replication and longitudinal extension with latent profile and transition analyses

This study, which is a longitudinal extension of previous cross-sectional studies in Chinese and American college students and general adults (Dixit, He, Whited, Ellis, & Zickgraf, 2023; He, Chen, Wu, Niu, & Fan, 2020; Xu et al., 2024), used latent profile and latent transition analyses to investigate negative emotional eating patterns and the stability of these patterns in 1462 Chinese adolescents (41% boys, aged 11-17 years) at baseline and 18 months later. We also explored baseline demographic predictors of negative emotional eating patterns and the associations between these patterns and outcome variables measured 18 months later. Negative emotional eating was measured with the Adult Eating Behavior Questionnaire (emotional undereating and emotional overeating subscales). Latent profile analysis (LPA) replicated the four patterns of negative emotional eating in each wave of assessment: low emotional eating (Low-EE), emotional overeating (EOE), emotional undereating (EUE), and emotional over- and under-eating (EOE-EUE). Latent transition analysis (LTA) showed that the EE patterns had transition probabilities of <55% remaining in the same class across 18 months. Furthermore, relative to adolescents in the stable Low-EE group, adolescents in all other stable or unstable emotional eating groups in LTA were linked to higher eating disorder psychopathology and psychological distress measured 18 months later. Thus, emotional eating, regardless of type (i.e., EOE, EUE, and EOE-EUE) and stability (i.e., stable or unstable), may be a viable research and treatment target in improving adolescents' eating behaviors and mental health.

The associations between attentional bias to food cues, parent-report appetitive traits, and concurrent adiposity among adolescents

OBJECTIVE

To assess whether attentional bias to food cues and appetitive traits are independently and interactively associated with adiposity in adolescents.

METHOD

Eighty-five adolescents, 14-17-years had their attentional bias to food images measured in a sated state by computing eye tracking measures of attention (first fixation duration, cumulative fixation duration) to food and control distractor images that bordered a computer game. Parents reported adolescent appetitive traits including the food approach domains of enjoyment of food, food responsiveness, emotional overeating, and the food avoidance domains of satiety responsiveness and emotional overeating through the Children's Eating Behavior Questionnaire.

RESULTS

First fixation bias to food cues was positively associated with enjoyment of food, and negatively associated with satiety responsiveness. In a series of regression models adjusted for relevant covariates, first fixation bias to food cues (β = 0.83, p = 0.007), higher food responsiveness (β = 0.74, p < 0.001), higher emotional overeating (β = 0.51, p = 0.002), and a composite appetite score (β = 1.42, p < 0.001) were each significantly associated with greater BMI z-scores. In models assessing the interactive effects between attentional bias and appetitive traits, higher first fixation bias to food cues interacted synergistically with food responsiveness and emotional overeating in relation to BMI z-score. A synergistic interaction between first fixation bias to food cues and the composite appetite score in relation to BMI z-score was also observed.

CONCLUSION

Individuals with high attentional bias to food cues and obesogenic appetitive traits may be particularly susceptible to weight gain.

SMART use of medications for the treatment of adolescent severe obesity: A sequential multiple assignment randomized trial protocol

BACKGROUND

Severe obesity is a complex, chronic disease affecting nearly 9% of adolescents in the U.S. Although the current mainstay of treatment is lifestyle therapy, pediatric clinical practice guidelines recommend the addition of adjunct anti-obesity medication (AOM), such as phentermine and topiramate. However, guidance regarding when adjunct AOM should be started and how AOM should be used is unclear. Furthermore, an inherent limitation of current treatment guidelines is their "one-size-fits-all" approach, which does not account for the heterogeneous nature of obesity and high degree of patient variability in response to all interventions.

METHODS

This paper describes the study design and methods of a sequential multiple assignment randomized trial (SMART), "SMART Use of Medications for the Treatment of Adolescent Severe Obesity." The trial will examine 1) when to start AOM (specifically phentermine) in adolescents who are not responding to lifestyle therapy and 2) how to modify AOM when there is a sub-optimal response to the initial pharmacological intervention (specifically, for phentermine non-responders, is it better to add topiramate to phentermine or switch to topiramate monotherapy). Critically, participant characteristics that may differentially affect response to treatment will be assessed and evaluated as potential moderators of intervention efficacy.

CONCLUSION

Data from this study will be used to inform the development of an adaptive intervention for the treatment of adolescent severe obesity that includes empirically-derived decision rules regarding when and how to use AOM. Future research will test this adaptive intervention against standard "one-size-fits-all" treatments.

Validation of the adult eating behavior questionnaire in a Norwegian sample of adolescents

Eating behaviors are related to health and well-being. To examine stability and change in eating behaviors throughout life, developmentally appropriate measures capturing the same eating behavior dimensions are needed. The newly developed Adult Eating Behavior Questionnaire (AEBQ) builds on the well-established parent-reported Children's Eating Behavior Questionnaire (CEBQ), and together with the corresponding Baby Eating Behavior Questionnaire (BEBQ), these questionnaires cover all ages. However, validation studies on adolescents are relatively sparse and have yielded somewhat conflicting results. The present study adds to existing research by testing the psychometric properties of the AEBQ in a sample of 14-year-olds and examining its construct validity by means of the parent-reported CEBQ. The current study uses age 14 data (analysis sample: n = 636) from the ongoing Trondheim Early Secure Study, a longitudinal study of a representative birth cohort of Norwegian children (baseline: n = 1007). Confirmatory factor analysis (CFA) was conducted to test the factorial validity of AEBQ. Construct validity was examined by bivariate correlations between AEBQ subscales and CEBQ subscales. CFAs revealed that a 7-factor solution of the AEBQ, with the Hunger scale removed, was a better-fitting model than the original 8-factor structure. The 7-factor model was respecified based on theory and model fit indices, resulting in overall adequate model fit (χ2 = 896.86; CFI = 0.924; TLI = 0.912; RMSEA = 0.05 (90% CI: 0.043, 0.051); SRMR = 0.06). Furthermore, small-to-moderate correlations were found between corresponding AEBQ and CEBQ scales. This study supports a 7-factor solution of the AEBQ without the Hunger scale and provide evidence of its construct validity in adolescents. Several of the CEBQ subscales were significantly associated with weight status, whereas this was the case for only one of the AEBQ scales.

Validity and reliability of Turkish version of the Adult Eating Behaviour Questionnaire for adult participants

OBJECTIVE

The aim of this study is to assess the validity and reliability of the Adult Eating Behaviour Questionnaire (AEBQ-TR) for adults.

DESIGN

Hunot et al. (2016) developed the original questionnaire, which was modified and translated into Turkish. On data collected from adults, construct validity was assessed using exploratory factor analysis and confirmatory factor analysis. Pearson's and Cronbach's correlation coefficients were used to evaluate reliability and validity (P < 0·05).

SETTING

This research was carried out in Ankara, Turkey.

PARTICIPANTS

A total of 311 adults from Ankara (148 men and 163 women) took part in the study. Seventy-two of these adults take the retest.

RESULTS

In the present study, 311 adults with a mean age of 29·3 ± 11·3 years participated. Factor loadings ranged from 0·404 to 0·907. In general, food approach and food avoidance scales showed a positive correlation within themselves. According to the results of confirmatory factor analysis and goodness-of-fit indicators, the seven-factor model showed a better model fit in the Turkish data (chi-square/degrees of freedom = 2·137, root mean error of approximation: 0·061, comparative fit index: 0·884, and normed fit index: 0·850). Higher BMI was associated with higher Emotional Over-eating, higher Enjoyment of the Food, lower Food Satiety and lower Emotional Under-eating.

CONCLUSIONS

The Turkish AEBQ is a valid and reliable tool for 20- to 65-year adults to determine appetitive properties related to the aetiology of weight change and especially obesity risk. Besides, AEBQ testing is required for validation in early and late adulthood.

The role of stress in the association among food insecurity, eating disorder pathology, and binge eating-related appetitive traits

PURPOSE

Growing literature demonstrates a positive association between food insecurity (FI) and eating disorder pathology. Additionally, FI has been associated with two appetitive traits strongly linked to binge eating, food responsiveness and emotional overeating. However, little research has investigated factors that might help to explain these associations. One hypothesis is that experiencing FI may increase stress, and that eating disorder pathology, particularly binge eating-related phenotypes, may serve as a coping strategy. This study explores stress as a potential mechanism in the association between FI and general eating disorder pathology, as well as two appetitive traits strongly associated with binge eating (food responsiveness and emotional overeating).

METHODS

Cis-gender women (N = 634) completed online questionnaires assessing FI, stress, eating disorder pathology (measured via the total score on the Short Eating Disorder Examination Questionnaire), and binge eating-related appetitive traits (measured via the Adult Eating Behavior Questionnaire). Cross-sectional indirect effects analyses with a 1000-sample bootstrap were used to test pathways among FI, stress, and eating-related constructs.

RESULTS

FI was significantly associated with eating disorder pathology and associated appetitive traits (ps < 0.001). Stress explained a significant proportion of the correlation between FI and each eating-related construct.

CONCLUSIONS

Our findings extend prior research on the relationships between FI, eating disorder pathology, and binge eating-related appetitive traits to provide preliminary evidence that stress may act as an underlying mechanism. Future studies should use longitudinal designs to assess the prospective relationships among these constructs.

Validation of the Adult Eating Behaviour Questionnaire adapted for the French-speaking Canadian population

PURPOSE

The Adult Eating Behaviour Questionnaire (AEBQ) is a newly developed questionnaire adapted from the widely used Child Eating Behaviour Questionnaire. This questionnaire assesses four food approach scales, namely hunger, food responsiveness, emotional overeating (EOE) and enjoyment of food, and four food avoidance scales, namely satiety responsiveness (SR), emotional undereating (EUE), food fussiness and slowness in eating (SE). This study aimed to validate a French version of the AEBQ in controlled conditions among French-speaking adults from Quebec, Canada.

METHODS

The AEBQ was pre-tested through structured interviews with 30 individuals. Participants of the validation study (n = 197, aged 19-65 years) had their height and weight measured and completed the AEBQ, Three-Factor Eating Questionnaire (TFEQ) and Intuitive Eating Scale-2 to assess factorial structure, internal consistency and construct validity. Test-retest reliability over 2 weeks was assessed among 144 participants.

RESULTS

Confirmatory factor analysis indicated an excellent model fit (NNFI = 0.98, CFI = 0.98, RMSEA = 0.03, χ²/df = 1.17) and provided support for the use of the original 8-factor questionnaire. Internal consistency was adequate for most scales (Cronbach's alpha = 0.66-0.94) and moderate to excellent test-retest reliability was observed for all scales (ICC = 0.70-90). Women showed higher levels of EOE and SR, and individuals with overweight and obesity showed higher levels of EOE and lower levels of EUE and SE. Construct validity was also supported by expected correlations with disinhibition and susceptibility to hunger from the TFEQ and intuitive eating.

CONCLUSION

This study indicates that the French AEBQ is a valid and reliable tool to measure eating behaviours in the adult population of Quebec.

LEVEL OF EVIDENCE

Level III: Evidence obtained from well-designed cohort or case-control analytic studies. The data are cross-sectional, but all measurement were undertaken in controlled laboratory conditions and the study provided new information.

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.

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.