• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

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.

DOI:10.1111/jcpp.13104
PMID:31423596
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6916607/
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/41b6/6916607/27ce9d4985d2/JCPP-61-40-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41b6/6916607/fa236d26aff3/JCPP-61-40-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41b6/6916607/af06a64450a2/JCPP-61-40-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41b6/6916607/ad1e45bae47d/JCPP-61-40-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41b6/6916607/27ce9d4985d2/JCPP-61-40-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41b6/6916607/fa236d26aff3/JCPP-61-40-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41b6/6916607/af06a64450a2/JCPP-61-40-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41b6/6916607/ad1e45bae47d/JCPP-61-40-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/41b6/6916607/27ce9d4985d2/JCPP-61-40-g004.jpg

相似文献

1
Measuring strengths and weaknesses in dimensional psychiatry.测量多维精神病学中的优势和劣势。
J Child Psychol Psychiatry. 2020 Jan;61(1):40-50. doi: 10.1111/jcpp.13104. Epub 2019 Aug 18.
2
[Diagnostic structured interviews in child and adolescent's psychiatry].[儿童和青少年精神病学中的诊断性结构化访谈]
Encephale. 2004 Mar-Apr;30(2):122-34. doi: 10.1016/s0013-7006(04)95422-x.
3
The 2014 Ontario Child Health Study Emotional Behavioural Scales (OCHS-EBS) Part I: A Checklist for Dimensional Measurement of Selected Disorders.2014 年安大略省儿童健康研究情绪行为量表(OCHS-EBS)第一部分:用于特定障碍的维度测量的检查表。
Can J Psychiatry. 2019 Jun;64(6):423-433. doi: 10.1177/0706743718808250. Epub 2018 Oct 30.
4
ADHD Traits in German School-Aged Children: Validation of the German Strengths and Weaknesses of ADHS Symptoms and Normal Behavior (SWAN-DE) Scale.德国学龄儿童的注意缺陷多动障碍特征:德国注意缺陷多动障碍症状和正常行为(SWAN-DE)量表的优势和劣势的验证。
J Atten Disord. 2019 Apr;23(6):553-562. doi: 10.1177/1087054716676365. Epub 2017 Jan 2.
5
Accuracy of the Diagnostic Infant and Preschool Assessment (DIPA) in a Dutch sample.荷兰样本中诊断婴幼儿评估(DIPA)的准确性。
Compr Psychiatry. 2020 Jul;100:152177. doi: 10.1016/j.comppsych.2020.152177. Epub 2020 Apr 23.
6
The psychometric properties of 30-day versions of the DSM-5 dimensional severity scales for social anxiety disorder and panic disorder.DSM-5 社交焦虑障碍和惊恐障碍维度严重程度量表 30 天版本的心理计量特性。
Psychiatry Res. 2020 Sep;291:113229. doi: 10.1016/j.psychres.2020.113229. Epub 2020 Jun 17.
7
The DSM-5 Dimensional Anxiety Scales in a Dutch non-clinical sample: psychometric properties including the adult separation anxiety disorder scale.荷兰非临床样本中的《精神疾病诊断与统计手册》第五版维度焦虑量表:包括成人分离焦虑障碍量表在内的心理测量特性
Int J Methods Psychiatr Res. 2016 Sep;25(3):232-9. doi: 10.1002/mpr.1515. Epub 2016 Jul 5.
8
Utility of the Brief Symptom Inventory (BSI) in psychiatric outpatients with intellectual disabilities.简明症状量表(BSI)在精神科智力障碍门诊患者中的应用。
J Intellect Disabil Res. 2012 Sep;56(9):843-53. doi: 10.1111/j.1365-2788.2011.01440.x. Epub 2011 Jul 5.
9
Psychometric properties of the dimensional anxiety scales for DSM-5 in a Brazilian community sample.DSM-5 维度焦虑量表在巴西社区样本中的心理测量特性。
Int J Methods Psychiatr Res. 2017 Sep;26(3). doi: 10.1002/mpr.1531. Epub 2016 Oct 16.
10
The SWAN captures variance at the negative and positive ends of the ADHD symptom dimension.SWAN 捕捉到 ADHD 症状维度正负两端的方差。
J Atten Disord. 2013 Feb;17(2):152-62. doi: 10.1177/1087054711427399. Epub 2011 Dec 15.

引用本文的文献

1
An open, fully-processed data resource for studying mood and sleep variability in the developing brain.一个用于研究发育中大脑情绪和睡眠变异性的开放、经过充分处理的数据资源。
bioRxiv. 2025 May 14:2025.05.01.651544. doi: 10.1101/2025.05.01.651544.
2
Multiscale heterogeneity of white matter morphometry in psychiatric disorders.精神疾病中白质形态计量学的多尺度异质性。
Biol Psychiatry Cogn Neurosci Neuroimaging. 2025 Apr 7. doi: 10.1016/j.bpsc.2025.03.014.
3
Parsing the heterogeneity of social motivation in autism.剖析自闭症社会动机的异质性。

本文引用的文献

1
An open resource for transdiagnostic research in pediatric mental health and learning disorders.儿科精神健康和学习障碍跨诊断研究的开放资源。
Sci Data. 2017 Dec 19;4:170181. doi: 10.1038/sdata.2017.181.
2
From positive psychology to psychopathology: the continuum of attention-deficit hyperactivity disorder.从积极心理学到精神病理学:注意缺陷多动障碍的连续体。
J Child Psychol Psychiatry. 2018 Mar;59(3):203-212. doi: 10.1111/jcpp.12786. Epub 2017 Jul 21.
3
The Social Aptitudes Scale: looking at both "ends" of the social functioning dimension.
J Child Psychol Psychiatry. 2025 Sep;66(9):1376-1389. doi: 10.1111/jcpp.14147. Epub 2025 Mar 16.
4
Considering the interconnected nature of social identities in neuroimaging research.考虑到神经影像学研究中社会身份的相互关联性质。
Nat Neurosci. 2025 Feb;28(2):222-233. doi: 10.1038/s41593-024-01832-y. Epub 2024 Dec 27.
5
Embracing variability in the search for biological mechanisms of psychiatric illness.在探寻精神疾病生物学机制的过程中接纳变异性。
Trends Cogn Sci. 2025 Jan;29(1):85-99. doi: 10.1016/j.tics.2024.09.010. Epub 2024 Nov 6.
6
Latent classes of adolescent health behaviour, social covariates and mental wellbeing: a longitudinal birth cohort study.青少年健康行为、社会协变量和心理健康的潜在类别:一项纵向出生队列研究。
BMC Public Health. 2024 Sep 18;24(1):2538. doi: 10.1186/s12889-024-20004-y.
7
Transitive inference in a clinical childhood sample with a focus on autism spectrum disorder.临床儿童样本中转译推理研究,重点关注自闭症谱系障碍。
Autism Res. 2024 Nov;17(11):2355-2369. doi: 10.1002/aur.3225. Epub 2024 Sep 2.
8
Social Effort Discounting Reveals Domain-General and Social-Specific Motivation Components.社会努力折扣揭示了领域通用和社会特定的动机成分。
Biol Psychiatry Cogn Neurosci Neuroimaging. 2025 Jan;10(1):37-44. doi: 10.1016/j.bpsc.2024.07.020. Epub 2024 Jul 27.
9
Comparing the stability and reproducibility of brain-behavior relationships found using canonical correlation analysis and partial least squares within the ABCD sample.比较在青少年大脑认知发展研究(ABCD)样本中,使用典型相关分析和偏最小二乘法所发现的脑-行为关系的稳定性和可重复性。
Netw Neurosci. 2024 Jul 1;8(2):576-596. doi: 10.1162/netn_a_00363. eCollection 2024.
10
Assessment of affective dysregulation in children: development and evaluation of a semi-structured interview for parents and for children.儿童情感失调评估:针对家长和儿童的半结构化访谈的开发与评估
Child Adolesc Psychiatry Ment Health. 2024 Jun 20;18(1):75. doi: 10.1186/s13034-024-00762-8.
社会能力量表:审视社会功能维度的两个“端点”。
Soc Psychiatry Psychiatr Epidemiol. 2017 Aug;52(8):1031-1040. doi: 10.1007/s00127-017-1395-8. Epub 2017 May 31.
4
The Status of Irritability in Psychiatry: A Conceptual and Quantitative Review.精神病学中易激惹的现状:概念性与定量性综述
J Am Acad Child Adolesc Psychiatry. 2016 Jul;55(7):556-70. doi: 10.1016/j.jaac.2016.04.014. Epub 2016 May 6.
5
Categorical and Dimensional Definitions and Evaluations of Symptoms of ADHD: History of the SNAP and the SWAN Rating Scales.注意缺陷多动障碍症状的分类与维度定义及评估:SNAP和SWAN评定量表的历史
Int J Educ Psychol Assess. 2012 Apr;10(1):51-70.
6
The Affective Reactivity Index: a concise irritability scale for clinical and research settings.情感反应指数:一种用于临床和研究环境的简明易怒量表。
J Child Psychol Psychiatry. 2012 Nov;53(11):1109-17. doi: 10.1111/j.1469-7610.2012.02561.x. Epub 2012 May 10.
7
The SWAN captures variance at the negative and positive ends of the ADHD symptom dimension.SWAN 捕捉到 ADHD 症状维度正负两端的方差。
J Atten Disord. 2013 Feb;17(2):152-62. doi: 10.1177/1087054711427399. Epub 2011 Dec 15.
8
The reliability and validity of the English and Spanish Strengths and Weaknesses of ADHD and Normal behavior rating scales in a preschool sample: continuum measures of hyperactivity and inattention.在学龄前样本中,多动症和正常行为评定量表的英语和西班牙语版本的信度和效度:多动和注意力不集中的连续测量。
J Atten Disord. 2012 Aug;16(6):510-6. doi: 10.1177/1087054711413550. Epub 2011 Aug 1.
9
Resting-state functional connectivity indexes reading competence in children and adults.静息态功能连接可作为儿童和成人阅读能力的指标。
J Neurosci. 2011 Jun 8;31(23):8617-24. doi: 10.1523/JNEUROSCI.4865-10.2011.
10
pROC: an open-source package for R and S+ to analyze and compare ROC curves.pROC:一个用于 R 和 S+的开源软件包,用于分析和比较 ROC 曲线。
BMC Bioinformatics. 2011 Mar 17;12:77. doi: 10.1186/1471-2105-12-77.