Suppr超能文献

用于注意缺陷多动障碍的儿童行为量表的诊断准确性:一项受试者工作特征分析。

Diagnostic accuracy of the Child Behavior Checklist scales for attention-deficit hyperactivity disorder: a receiver-operating characteristic analysis.

作者信息

Chen Wei J, Faraone Stephen V, Biederman Joseph, Tsuang Ming T

机构信息

Massachusetts General Hosp, Pediatric Psychopharmacology Unit, Boston.

出版信息

J Consult Clin Psychol. 1994 Oct;62(5):1017-1025. doi: 10.1037/0022-006X.62.5.1017.

Abstract

The diagnostic accuracy of the Child Behavior Checklist (CBCL) scales for attention-deficit hyperactivity disorder (ADHD) were examined using receiver-operating characteristic (ROC) analysis. Three logistic regression models were estimated in an initial sample of 121 children with and without ADHD. These models were then tested in a cross-validation sample (N = 122) and among the 111 brothers and 108 sisters of the initial and cross-validation samples. In all four groups, the CBCL Attention Problems scale had the highest discriminating power for ADHD. Adding other scales did not increase the area under the curve of the ROC significantly. These findings suggest that the CBCL Attention Problems scale could serve as a rapid and useful screening instrument not only to help identify cases likely to meet criteria for ADHD in clinical settings but also to identify cases of ADHD among the siblings of children with ADHD.

摘要

采用受试者工作特征(ROC)分析,检验了儿童行为量表(CBCL)各分量表对注意力缺陷多动障碍(ADHD)的诊断准确性。在121名患有和未患有ADHD的儿童初始样本中,估计了三个逻辑回归模型。然后在一个交叉验证样本(N = 122)以及初始样本和交叉验证样本的111名兄弟和108名姐妹中对这些模型进行了测试。在所有四组中,CBCL注意力问题分量表对ADHD具有最高的鉴别力。添加其他分量表并未显著增加ROC曲线下面积。这些发现表明,CBCL注意力问题分量表不仅可以作为一种快速且有用的筛查工具,有助于在临床环境中识别可能符合ADHD标准的病例,还可以在ADHD儿童的兄弟姐妹中识别出ADHD病例。

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