a Department of Medical Social Sciences , Feinberg School of Medicine, Northwestern University , Chicago , Illnois , USA.
b Department of Psychiatry , Stanford University School of Medicine , Palo Alto , California , USA.
J Am Coll Health. 2019 May-Jun;67(4):357-366. doi: 10.1080/07448481.2018.1483936. Epub 2018 Oct 9.
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. Five hundred forty-nine college-age women. Participants completed a screen and diagnostic interview. 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. 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.
由于饮食失调（EDs）常在大学期间出现，因此理想情况下，管理 EDs 应将预防和治疗相结合。为了实现这一目标，需要一种有效的工具来检测临床症状和风险水平。本研究评估了一种旨在识别有 ED 风险或患有 ED 的个体的筛查工具的性能。549 名大学年龄的女性。参与者完成了筛查和诊断访谈。使用 ED 诊断的简约阈值，筛查的灵敏度范围为 0.90（神经性厌食症）至 0.55（清除障碍）。与诊断访谈相比，特异性范围为 0.99（神经性厌食症）至 0.78（阈下暴食障碍）。观察到中等至高的曲线下面积值。该筛查对检测高危具有很高的敏感性。该筛查可识别有风险的学生，并且对识别大多数 ED 诊断具有可接受的敏感性和特异性。该工具对于建立 ED 干预的分级护理模型至关重要。
