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SCOFF, the development of an eating disorder screening questionnaire

Open access
Hill, Laura S., Reid, Fiona, Morgan, John F., Lacey, J. Hubert·2010·International Journal of Eating Disorders

Abstract

Objective: This article describes the three‐stage development of the SCOFF, a screening tool for eating disorders. Method: Study 1 details questionnaire development and testing on cases and controls. Study 2 examines reliability of verbal versus written administration in a student population. Study 3 validates the test as a screening tool in primary care. Results: The SCOFF demonstrates good validity compared with DSM‐IV diagnosis on clinical interview. In the primary care setting it had a sensitivity of 84.6% and a specificity of 89.6%, detecting all true cases of anorexia nervosa and bulimia nervosa and seven of nine cases of EDNOS. Reliability between written and verbal versions of the SCOFF was high, with a kappa statistic of 0.82. Discussion: The SCOFF, which has been adapted for use in diverse languages, appears highly effective as a screening instrument and has been widely adopted to raise the index of suspicion of an eating disorder. © 2009 by Wiley Periodicals, Inc. Int J Eat Disord 2010

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Metadata

Authors
Hill, L. S., Reid, F., Morgan, J. F., & Lacey, J. H.
Venue
International Journal of Eating Disorders
Publisher
Wiley
Published
2009-04-02
Volume
43
Issue
4
Pages
344-351
ISSN
  • 0276-3478 (ISSN-L)
  • 1098-108X
OpenAlex
W2028667212
Cited by
285
References
2
FWCI
6.08
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: SCOFF, the development of an eating disorder screening questionnaire. https://app.cochat.ai/papers/10.1002/eat.20679
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Hill, L. S., Reid, F., Morgan, J. F., & Lacey, J. H. (2010). SCOFF, the development of an eating disorder screening questionnaire. International Journal of Eating Disorders. https://doi.org/10.1002/eat.20679

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.