Validity and Clinical Utility of Subtyping by the Beck Depression Inventory in Women Seeking Gastric Bypass Surgery

贝克抑郁量表亚型分类在寻求胃旁路手术的女性中的有效性和临床应用价值

阅读:1

Abstract

BACKGROUND: The Beck Depression Inventory (BDI) is commonly used in the screening and evaluation process with bariatric surgery candidates despite relatively limited psychometric evidence in this patient group. We examined the validity of the BDI and its clinical utility for subtyping women seeking gastric bypass surgery. METHODS: One hundred twenty-four women evaluated for gastric bypass surgery were administered the Structured Clinical Interview for DSM-IV (SCID-I/P) and completed a self-report battery of psychosocial measures including the BDI. RESULTS: Based on the SCID-I/P, 12.9 % (n = 16) met criteria for current mood disorder. Receiver operating characteristic (ROC) curve analysis revealed the BDI had a good area under the curve (0.788) for predicting SCID-I/P mood disorder diagnosis; BDI score of >15 optimized both sensitivity and specificity. Patients diagnosed with SCID-I/P mood disorders had significantly higher levels of eating disorder psychopathology, self-esteem, and shame, than those without mood disorders. Based on a BDI cut-off score of >15, 41.9 % (n = 52) were categorized as high-BDI and 58.1 % (n = 72) as low-BDI. Patients characterized as high-BDI also had significantly higher levels of all associated measures than those with low-BDI; effect sizes for the differences by BDI subtyping were generally 2-3 times greater than those observed when comparing SCID-I/P-based mood versus no mood disorder subgroups. CONCLUSIONS: In women seeking gastric bypass surgery, the BDI demonstrated limited acceptability efficiency for identifying mood disorders with a cut-point score of >15. When identifying clinical severity, however, subtyping women by BDI scores of >15 may identify a significantly more disturbed subgroup than relying on a SCID-I/P-generated mood disorder diagnosis.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。