Literature DB >> 12762620

Assessment of two self-reporting questionnaires for eating disorders in women.

L B Augestad1, W D Flanders.   

Abstract

OBJECTIVE: The goals of this study were to evaluate how well the Eating Disorder Inventory (EDI) predicted specific eating disorders as identified by the Survey of Eating Disorders (SED), and to identify the most predictive EDI scales. An additional goal was to evaluate the EDI as a screening instrument for eating disorders among a large non-clinical group of women.
METHOD: The community-based study sample consisted of 1245 Norwegian women between age 18 and 50 years (mean 23). Subjects filled out the EDI and the SED.
RESULTS: The strongest predictors of SED-defined eating disorders were the EDI scales bulimia (BN) and drive of thinness (DT) and body mass index (BMI). When we classified women with an EDI sum score of 40 or higher as having an eating disorder (ED), the sensitivity was 38% and the specificity was 90%, compared to the SED diagnosis of ED. DISCUSSION: Our findings suggest modest agreement between the EDI and the SED, and modest sensitivity and specificity of the EDI. While these instruments, perhaps with some modification, may be adequate for use in selected research applications, they should probably be supplemented with additional information in a clinical or treatment setting.

Entities:  

Mesh:

Year:  2003        PMID: 12762620     DOI: 10.1007/bf03324984

Source DB:  PubMed          Journal:  Eat Weight Disord        ISSN: 1124-4909            Impact factor:   4.652


  21 in total

1.  Body image and personality predictors of eating disorder symptoms during the college years.

Authors:  E Cooley; T Toray
Journal:  Int J Eat Disord       Date:  2001-07       Impact factor: 4.861

2.  The internal structure of the Eating Disorder Inventory.

Authors:  K Bennett; R Stevens
Journal:  Health Care Women Int       Date:  1997 Sep-Oct

3.  Validation of the pneumonia severity index. Importance of study-specific recalibration.

Authors:  W D Flanders; G Tucker; A Krishnadasan; D Martin; E Honig; W M McClellan
Journal:  J Gen Intern Med       Date:  1999-06       Impact factor: 5.128

4.  The meaning and use of the area under a receiver operating characteristic (ROC) curve.

Authors:  J A Hanley; B J McNeil
Journal:  Radiology       Date:  1982-04       Impact factor: 11.105

5.  Prevalence of eating disorders among Norwegian women and men in a psychiatric outpatient unit.

Authors:  K W Taraldsen; L Eriksen; K G Götestam
Journal:  Int J Eat Disord       Date:  1996-09       Impact factor: 4.861

6.  Subthreshold binge eating disorder.

Authors:  R H Striegel-Moore; F A Dohm; E E Solomon; C G Fairburn; K M Pike; D E Wilfley
Journal:  Int J Eat Disord       Date:  2000-04       Impact factor: 4.861

7.  Assessment of eating disorders: interview versus questionnaire.

Authors:  C M Black; G T Wilson
Journal:  Int J Eat Disord       Date:  1996-07       Impact factor: 4.861

8.  Prevalence of eating disorders in Norwegian general hospitals 1990-1994: admissions per year and seasonality.

Authors:  K G Götestam; L Eriksen; T Heggestad; S Nielsen
Journal:  Int J Eat Disord       Date:  1998-01       Impact factor: 4.861

9.  Structured Interview for Anorexic and Bulimic disorders for DSM-IV and ICD-10: updated (third) revision.

Authors:  M M Fichter; S Herpertz; N Quadflieg; B Herpertz-Dahlmann
Journal:  Int J Eat Disord       Date:  1998-11       Impact factor: 4.861

10.  Eating disorder behavior in physically active Norwegian women.

Authors:  Liv Berit Augestad; W D Flanders
Journal:  Scand J Med Sci Sports       Date:  2002-08       Impact factor: 4.221

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  2 in total

1.  Factor structure of Eating Disorders Inventory-2 in a Spanish sample.

Authors:  P Muro-Sans; J A Amador-Campos; M Peró-Cebollero
Journal:  Eat Weight Disord       Date:  2006-06       Impact factor: 4.652

2.  Screening of males with eating disorders.

Authors:  E Kjelsås; L B Augestad; D Flanders
Journal:  Eat Weight Disord       Date:  2003-12       Impact factor: 4.652

  2 in total

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