Suppr超能文献

预测青少年癫痫患者的特定抑郁症状群:NDDI-E-Y 与 Neuro-QOL SF 相比。

Prediction of specific depressive symptom clusters in youth with epilepsy: The NDDI-E-Y versus Neuro-QOL SF.

机构信息

Department of Neurosurgery, Medical University of South Carolina, Charleston, South Carolina, U.S.A.

College of Nursing, Medical University of South Carolina, Charleston, South Carolina, U.S.A.

出版信息

Epilepsia. 2017 Aug;58(8):1370-1379. doi: 10.1111/epi.13808. Epub 2017 Jun 9.

Abstract

OBJECTIVE

Proper assessment and early identification of depressive symptoms are essential to initiate treatment and minimize the risk for poor outcomes in youth with epilepsy (YWE). The current study examined the predictive utility of the Neurological Disorders Depression Inventory-Epilepsy for Youth (NDDI-E-Y) and the Neuro-QOL Depression Short Form (Neuro-QOL SF) in explaining variance in overall depressive symptoms and specific symptom clusters on the gold standard Children's Depression Inventory-2 (CDI-2).

METHODS

Cross-sectional study examining 99 YWE (female 68, mean age 14.7 years) during a routine epilepsy visit, who completed self-report measures of depressive symptoms, including the NDDI-E-Y, CDI-2, and the Neuro-QOL SF. Caregivers completed a measure of seizure severity. All sociodemographic and medical information was evaluated through electronic medical record review.

RESULTS

After accounting for seizure and demographic variables, the NDDI-E-Y accounted for 45% of the variance in the CDI-2 Total score and the CDI-2 Ineffectiveness subscale. Furthermore, the NDDI-E-Y predicted CDI-2 Total scores and subscales similarly, with the exception of explaining significantly more variance in the CDI-2 Ineffectiveness subscale compared to the Negative Mood subscale. The NDDI-E-Y explained greater variance compared to Neuro-QOL SF across the Total (48% vs. 37%) and all CDI-2 subscale scores; however, the NDDI-E-Y emerged as a stronger predictor of only CDI-2 Ineffectiveness. Both the NDDI-E-Y and Neuro-QOL SF accounted for the lowest amount of variance in CDI-2 Negative Mood. Sensitivity was poor for the Neuro-QOL SF in predicting high versus low CDI-2 scores.

SIGNIFICANCE

The NDDI-E-Y has strong psychometrics and can be easily integrated into routine epilepsy care for quick, brief screening of depressive symptoms in YWE.

摘要

目的

正确评估和早期识别抑郁症状对于启动治疗以及降低青少年癫痫患者(YWE)不良预后的风险至关重要。本研究旨在探讨神经疾病抑郁量表-青少年版(NDDI-E-Y)和神经生活质量问卷-抑郁简表(Neuro-QOL SF)在解释儿童抑郁量表-2(CDI-2)金标准中整体抑郁症状和特定症状群的变异方面的预测效用。

方法

本横断面研究纳入了 99 例在常规癫痫就诊期间的 YWE(女性 68 例,平均年龄 14.7 岁),他们完成了抑郁症状的自我报告量表,包括 NDDI-E-Y、CDI-2 和 Neuro-QOL SF。照顾者完成了一项关于癫痫发作严重程度的测量。所有社会人口统计学和医学信息均通过电子病历回顾进行评估。

结果

在考虑了癫痫发作和人口统计学变量后,NDDI-E-Y 解释了 CDI-2 总分和无效性亚量表的 45%的变异。此外,NDDI-E-Y 对 CDI-2 总分和亚量表的预测作用相似,除了在无效性亚量表上比负性情绪亚量表解释的变异更多。与 Neuro-QOL SF 相比,NDDI-E-Y 在总分(48%对 37%)和所有 CDI-2 亚量表评分上都能解释更多的变异,但 NDDI-E-Y 仅在无效性亚量表上的预测作用更强。NDDI-E-Y 和 Neuro-QOL SF 都可以解释 CDI-2 负性情绪中变异的最小部分。Neuro-QOL SF 在预测 CDI-2 高得分与低得分方面的敏感性较差。

意义

NDDI-E-Y 具有良好的心理测量学特性,可方便地整合到常规癫痫护理中,用于快速、简短地筛查 YWE 的抑郁症状。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验