Self-report versus clinical interview: Discordance among measures of binge eating in a weight-loss seeking sample

Everett, Valerie S.; Crochiere, Rebecca J; Dallal, Diane H.; Martin, Gerald J; Manasse, Stephanie M.; Forman, Evan M.

doi:10.1007/s40519-020-01002-6

Cited by 8 publications

(5 citation statements)

References 15 publications

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“…Prior research on the validity of binge‐eating features has been mixed (18‐20); however, none of these prior studies has explored whether binge‐eating features are predictive of LOC in a treatment‐seeking sample. Consistent with previous research, our results suggest that many treatment‐seeking individuals with overweight or obesity may endorse binge‐eating features at a high rate even if they do not experience LOC as determined by clinical interview (12). Unexpectedly, distress about overeating or binge‐eating episodes was negatively predictive of LOC and full‐threshold binge eating.…”

Section: Discussionsupporting

confidence: 91%

“…Indeed, numerous studies have found that individuals seeking weight‐loss treatment endorse LOC on a self‐report questionnaire at a much higher rate than clinician‐rated LOC (5,10,11). Additionally, our team recently found that the self‐report version and the interview version of the Eating Disorder Examination (EDE; the gold‐standard assessment tool for eating pathology) had no agreement with each other (κ < 0) in the assessment of binge eating in a weight‐loss‐seeking sample (12). An alternative is to assess for cognitive symptoms of an ED, such as overconcern with weight and shape; however, individuals without binge eating presenting for weight‐loss treatment are also likely to endorse elevated concern about weight and shape or body dissatisfaction (13).…”

Section: Introductionmentioning

confidence: 99%

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Can a Short Screening Tool Discriminate Between Overeating and Binge Eating in Treatment‐Seeking Individuals with Obesity?

Manasse

Michael

Lin

et al. 2021

Obesity

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Existing screening tools are inadequate in differentiating binge eating from normative overeating in treatment-seeking individuals with overweight or obesity, as these individuals tend to overendorse loss-ofcontrol (LOC; the hallmark characteristic of binge eating) on self-report measures. In order for treatment centers to efficiently and accurately identify individuals who would benefit from specialized treatment, it is critical to develop effective brief screening tools. This study examined the sensitivity and specificity of a self-report screener designed to be used by an outpatient treatment center on a large scale. Methods: Participants were treatment-seeking individuals (N = 364) with overweight or obesity who were administered the screener and who completed a subsequent interview assessing for LOC and binge eating. Results: Discriminant analyses revealed that the screener achieved 77.6% sensitivity and 77.0% specificity in predicting clinician-assessed LOC and 75.2% sensitivity and 74.1% specificity in predicting "fullthreshold" binge eating (i.e., ≥12 objectively large binge-eating episodes within the past 3 months). Post hoc analyses indicated that male participants were more likely to be misclassified with the screener. Conclusions: The self-report screener demonstrated satisfactory predictive ability, which is notable given the challenges of discriminating between LOC and normative overeating. However, room for improvement remains. In particular, the inclusion of additional screener items that more fully capture the binge-eating experience in males is warranted.

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Section: Discussionsupporting

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Can a Short Screening Tool Discriminate Between Overeating and Binge Eating in Treatment‐Seeking Individuals with Obesity?

Manasse

Michael

Lin

et al. 2021

Obesity

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“…Finally, our data were collected using self-report measures assessing the perceived experience of LOC eating. Self-report measures are known to overreport LOC eating behaviors (Everett et al, 2021). Although we are not assessing LOC behaviors per se, but rather the subjective perception of LOC while eating, it is unclear whether similar findings would apply to LOC eating as assessed by a clinical interview.…”

Section: Discussionmentioning

confidence: 92%

Exploring Correlates of Loss of Control Eating in a Nonclinical Sample

et al. 2022

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ObjectiveLoss of control (LOC) eating has been directly related to the core aspects of the psychopathology of eating disorders and to different dimensions of emotion and behavior regulation and self-criticism. This study investigates a model representing the interplay between these dimensions to understand LOC eating among a nonclinical sample.MethodsA total of 341 participants, recruited in a college campus (mean age 23.21, SD = 6.02), completed a set of self-report measures assessing LOC eating, weight suppression, psychopathology of eating disorders, depression, negative urgency, emotion regulation difficulties, and self-criticism. Path analysis modeling tested a hypothesized model with 3 paths for LOC eating as follows: (1) psychopathology of eating disorders; (2) emotion and behavior regulation; and (3) interplay between these paths.ResultsWe found goodness-of-fit indexes to our data: χ2 = 17.11, df = 10, Comparative Fit Index (CFI) = 0.99, Tucker-Lewis index (TLI) = 0.98, Root Mean Square Error Approximation (RMSEA) = 0.045, Standardized Root Mean Square Residual (SRMR) = 0.041, suggesting that: (1) participants with higher weight suppression showed higher degrees of the psychopathology of eating disorders, which was linked to higher levels of LOC eating; (2) self-criticism was a mediator between emotion regulation and depression/negative urgency; (3) self-criticism was a mediator between emotion regulation and disorder eating, which was significantly associated with LOC eating via increased negative urgency.ConclusionOur model shows that LOC eating occurs for individuals with the psychopathology of higher eating disorders who experience depressive symptoms and act rashly under distress for their inability to cope adequately with negative feelings of self-devaluation. These findings point to the importance of negative self-evaluations and feelings of inadequacy or worthlessness to understand LOC eating among college students.

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“…Secondly, this study employed self-report measures to operationalise depression, anxiety, and psychosocial stress. Research suggests that individuals often misestimate their experiences when self-reporting, whereas clinical interviews represent a ‘gold standard’ assessment method ( 58 ). Furthermore, assessing current anxiety symptoms compared to a history of anxiety ( 20 ), may make comparisons to other studies less reliable.…”

Section: Discussionmentioning

confidence: 99%

Depression, anxiety, and psychosocial stressors across BMI classes: A Norwegian population study - The HUNT Study

et al. 2022

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BackgroundObesity is a global issue with detrimental health impacts. Recent research has highlighted the complexity of obesity due to its psychological correlates. The purpose of the present study was to explore the relationship between body mass index (BMI) and depression, anxiety, and psychosocial stress.MethodsData, including demographic, height, and weight information from 23 557 adult participants was obtained from the fourth survey of the Norwegian population based Trøndelag Health Study (HUNT4, 2017-2019). The Hospital Anxiety and Depression Scale (HADS) was used to measure self-reported depression and anxiety. We also collected data on 10 domains of psychosocial stress (violence, mental violence, unwanted sex, cyber bullying, school bullying, history of own life-threatening disease, life-threatening disease in family, relationship problems, divorce, and sudden family death), which were aggregated into a cumulative measure of psychosocial stress.ResultsMultinomial logistic regression was utilized for statistical analysis. In the full model, the relationship between depression, anxiety, and psychosocial stress were explored controlling for age, sex, income, marital status, and educational attainment. After adjustments, a significant relationship was found between depression and obesity I (OR = 1.05, 95% CI 1.03-1.06, p <.001) and II and III (OR = 1.10, 95% CI 1.06-1.14, p <.001). After the same adjustments, significant relationship between anxiety and overweight and obesity class I was found among elderly participants (≥65 years old). Psychosocial stress significantly and positively related to all levels of BMI, with or without considering anxiety and depression, after controlling for sex, age, educational attainment, marital status, and income in all age groups.ConclusionsObesity is a multifaceted health problem, significantly related to psychological factors including depression and psychosocial stress, which supports the need for a multifaceted, targeted approach to obesity treatment.

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Self-report versus clinical interview: Discordance among measures of binge eating in a weight-loss seeking sample

Cited by 8 publications

References 15 publications

Can a Short Screening Tool Discriminate Between Overeating and Binge Eating in Treatment‐Seeking Individuals with Obesity?

Can a Short Screening Tool Discriminate Between Overeating and Binge Eating in Treatment‐Seeking Individuals with Obesity?

Exploring Correlates of Loss of Control Eating in a Nonclinical Sample

Depression, anxiety, and psychosocial stressors across BMI classes: A Norwegian population study - The HUNT Study

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