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A screening tool for detecting eating disorder risk and diagnostic symptoms among college-age women.

ABSTRACT: Objective: As eating disorders (EDs) often emerge during college, managing EDs would ideally integrate prevention and treatment. To achieve this goal, an efficient tool is needed that detects clinical symptoms and level of risk. This study evaluated the performance of a screen designed to identify individuals at risk for or with an ED. Participants: Five hundred forty-nine college-age women. Methods: Participants completed a screen and diagnostic interview. Results: Using parsimonious thresholds for ED diagnoses, screen sensitivity ranged from 0.90 (anorexia nervosa) to 0.55 (purging disorder). Specificity ranged from 0.99 (anorexia nervosa) to 0.78 (subthreshold binge eating disorder) compared to diagnostic interview. Moderate to high area under the curve values were observed. The screen had high sensitivity for detecting high risk. Conclusions: The screen identifies students at risk and has acceptable sensitivity and specificity for identifying most ED diagnoses. This tool is critical for establishing stepped care models for ED intervention.

SUBMITTER: Graham AK

PROVIDER: S-EPMC6320726 | biostudies-literature | 2019 May-Jun

REPOSITORIES: biostudies-literature

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A screening tool for detecting eating disorder risk and diagnostic symptoms among college-age women.

Graham Andrea K AK Trockel Mickey M Weisman Hannah H Fitzsimmons-Craft Ellen E EE Balantekin Katherine N KN Wilfley Denise E DE Taylor C Barr CB

Journal of American college health : J of ACH 20181009 4

Objective: As eating disorders (EDs) often emerge during college, managing EDs would ideally integrate prevention and treatment. To achieve this goal, an efficient tool is needed that detects clinical symptoms and level of risk. This study evaluated the performance of a screen designed to identify individuals at risk for or with an ED. Participants: Five hundred forty-nine college-age women. Methods: Participants completed a screen and diagnostic interview. Results: U ...[more]

PMID: 29979922

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Project description:BackgroundEating disorders affect upwards of 30 million people worldwide and often go undertreated and underdiagnosed. The purpose of this systematic review and meta-analysis was to evaluate the diagnostic accuracy of the Sick, Control, One, Fat and Food (SCOFF) questionnaire for DSM-5 eating disorders in the general population.MethodThe Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) were followed. A PubMed search was conducted among peer-reviewed articles. Information regarding validation of the SCOFF was required for inclusion. Study quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) tool.ResultsThe final analysis included 25 studies. The validity of the SCOFF was high across samples with a pooled sensitivity of 0.86 (95% CI, 0.78-0.91) and specificity of 0.83 (95% CI, 0.77-0.88). Subgroup analyses were conducted to examine the impact of methodology, study quality, and clinical characteristics on diagnostic accuracy. Studies with the highest sensitivity tended to be case-control studies of young women with anorexia nervosa (AN) and bulimia nervosa (BN). Studies which included more men, included those diagnosed with binge eating disorder, and recruited from large community samples tended to have lower sensitivity. Few studies reported on BMI and race/ethnicity; thus, subgroups for these factors could not be examined. No studies used reference standards which assessed all DSM-5 eating disorders.ConclusionThis meta-analysis of 25 validation studies demonstrates that the SCOFF is a simple and useful screening tool for young women at risk for AN and BN. However, there is not enough evidence to support utilizing the SCOFF for screening for the range of DSM-5 eating disorders in primary care and community-based settings. Further examination of the validity of the SCOFF or development of a new screening tool, or multiple tools, to screen for the range of DSM-5 eating disorders heterogenous populations is warranted.Trial registrationThis study is registered online with PROSPERO (CRD42018089906).

Dataset Information

A screening tool for detecting eating disorder risk and diagnostic symptoms among college-age women.

Publications

A screening tool for detecting eating disorder risk and diagnostic symptoms among college-age women.

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