Suppr超能文献

测量多维精神病学中的优势和劣势。

Measuring strengths and weaknesses in dimensional psychiatry.

机构信息

Center for the Developing Brain, Child Mind Institute, New York, NY, USA.

Department of Psychiatry, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.

出版信息

J Child Psychol Psychiatry. 2020 Jan;61(1):40-50. doi: 10.1111/jcpp.13104. Epub 2019 Aug 18.

Abstract

BACKGROUND

The Extended Strengths and Weaknesses Assessment of Normal Behavior (E-SWAN) reconceptualizes each diagnostic criterion for selected DSM-5 disorders as a behavior, which can range from high (strengths) to low (weaknesses). Initial development focused on Panic Disorder, Social Anxiety, Major Depression, and Disruptive Mood Dysregulation Disorder.

METHODS

Data were collected from 523 participants (ages 6-17). Parents completed each of the four E-SWAN scales and traditional unidirectional scales addressing the same disorders. Distributional properties, Item Response Theory Analysis (IRT), and Receiver Operating Characteristic (ROC) curves were used to assess and compare the performance of E-SWAN and traditional scales.

RESULTS

In contrast to the traditional scales, which exhibited truncated distributions, all four E-SWAN scales had symmetric distributions. IRT analyses indicate the E-SWAN subscales provided reliable information about respondents throughout the population distribution; traditional scales only provided reliable information about respondents at the high end of the distribution. Predictive value for DSM-5 diagnoses was comparable to prior scales.

CONCLUSIONS

E-SWAN bidirectional scales can capture the full spectrum of the population distribution of behavior underlying DSM disorders. The additional information provided can better inform examination of inter-individual variation in population studies, as well as facilitate the identification of factors related to resiliency in clinical samples.

摘要

背景

正常行为的扩展优势和劣势评估(E-SWAN)将 DSM-5 障碍的每个诊断标准重新概念化为一种行为,这些行为的范围从高(优势)到低(劣势)。最初的开发集中在恐慌症、社交焦虑症、重度抑郁症和情绪障碍调节不良症上。

方法

从 523 名参与者(年龄 6-17 岁)中收集数据。父母完成了四个 E-SWAN 量表和传统的针对相同障碍的单向量表中的每一个。分布特性、项目反应理论分析(IRT)和接收者操作特征(ROC)曲线用于评估和比较 E-SWAN 和传统量表的性能。

结果

与表现出截断分布的传统量表不同,所有四个 E-SWAN 量表都具有对称分布。IRT 分析表明,E-SWAN 分量表在整个人口分布中为受访者提供了可靠的信息;传统量表仅在分布的高端为受访者提供了可靠的信息。DSM-5 诊断的预测值与先前的量表相当。

结论

E-SWAN 双向量表可以捕捉 DSM 障碍所依据的人群行为的全部范围。提供的额外信息可以更好地告知人口研究中个体间变异的检查,以及促进识别与临床样本中的弹性相关的因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41b6/6916607/fa236d26aff3/JCPP-61-40-g001.jpg

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