Eating Disorder Examination Questionnaire (EDE-Q): Norms for young adult women

Neuropsychiatric Research Institute, Fargo, ND 58103, USA.
Behaviour Research and Therapy (Impact Factor: 3.85). 02/2006; 44(1):53-62. DOI: 10.1016/j.brat.2004.12.003
Source: PubMed


In order to establish norms for the Eating Disorder Examination Questionnaire (EDE-Q) among young adult women, the questionnaire was administered to a large general population sample of women aged 18-42 yr in the Australian Capital Territory (ACT) region of Australia. Normative data were derived for EDE-Q subscales and for the occurrence of specific eating disorder behaviours, for each of five age bands (18-22, 23-27, 28-32, 33-37, 38-42 yr). Mean scores (SDs) for the Restraint, Eating Concern, Weight Concern and Shape Concern subscales for the total sample (n = 5,255) were, respectively, 1.30 (1.40), 0.76 (1.06), 1.79 (1.51) and 2.23 (1.65). The mean global score was 1.52 (1.25). The regular occurrence of objective and subjective overeating episodes was reported by 10.6% and 12.7% of participants, respectively. The regular use of self-induced vomiting, laxative misuse, and use of diuretics, was reported by 1.4%, 1.0%, and 0.3%, of participants, respectively, while 2.2% of participants reported regularly using diet pills. "Extreme dietary restraint" and "excessive exercise" were reported by 3.4% and 4.9% of participants, respectively. Both attitudinal and behavioural features of eating disorder psychopathology tended to decrease with increasing age. These data will inform researchers intending to use the EDE-Q in epidemiological studies.

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    • "The EDE-Q consists of 38 questions about behaviors and cognitions relating to eating, body shape, and weight in the prior 28 days; scores from four subscales (eating restraint, eating concerns, shape concerns, and weight concerns) are averaged to provide a global score. In a healthy young adult female population, the mean global EDE-Q (standard deviation [SD]) is approximately 1.6 (1.3) (Mond et al., 2006; Welch, Birgegard, Parling, & Ghaderi, 2011). The BDI-II is a 21-item measure of depressive severity in the prior week. "
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    ABSTRACT: We examined outcomes from a residential treatment program emphasizing exposure and response prevention (ERP) to determine if the typically robust response to this treatment in outpatient settings extends to patients treated in this unique context. One hundred and seventy-two adolescents with primary Obsessive-compulsive disorder (OCD) completed measures at admission and discharge. Almost all (92.4%) participants had at least two diagnoses and nearly half (44.2%) had three or more. Treatment consisted of intensive ERP (i.e., approximately 26.5 hr per week), additional cognitive behavioral therapy interventions, and medication management within a residential setting. In contrast to the samples reported on in the vast majority of other pediatric OCD trials, participants in the current study were living apart from their families and were immersed within the treatment setting, with staff members available at all times. Paired sample t-tests revealed significant decreases in OCD and depression severity. Results suggest that residential treatment for adolescents with OCD using a multimodal approach emphasizing ERP can be effective for complex cases with significant comorbidity. Results were comparable with several randomized controlled trials.
    Psychotherapy Research 08/2015; DOI:10.1080/10503307.2015.1065022 · 1.75 Impact Factor
    • "The eating disorder examination questionnaire (EDE-Q4) [19] is a 36-item, selfreport survey of eating disorder behaviors and cognitions. The Eating Disorders Examination (EDE) is a widely used interview for the assessment and diagnosis of eating disorders [20] [21]. Participants rated their behaviors over the past 28 days on a seven-point scale (1 ¼ No days, 7 ¼ Every day). "
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    Journal of Adolescent Health 08/2015; 57(2):157-63. DOI:10.1016/j.jadohealth.2015.04.026 · 3.61 Impact Factor
    • "For example, covariates correlating significantly with the test score are selected for dividing the sample into subgroups (Grande, Romppel, Glaesmer, Petrowski, & Herrmann-Lingen, 2010). Similarly, significance tests based on analysis of variance (ANOVA), regression analysis, or Pearson's chi-square test can be used to select covariates (Aardoom, Dingemans, Slof Op't Landt, & Van Furth, 2012; Mond, Hay, Rodgers, & Owen, 2006; Pedraza et al., 2010). "
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