The three-dimensional community structure of attention-deficit hyperactivity disorder (ADHD) traits captured by the Adult ADHD Self-Report Scale: An exploratory graph analysis

IF 2.4 3区医学 Q2 PSYCHIATRY

International Journal of Methods in Psychiatric Research Pub Date : 2023-11-27 DOI:10.1002/mpr.1997

Maria Panagiotidi, Orestis Zavlis, Myles Jones, Tom Stafford

{"title":"The three-dimensional community structure of attention-deficit hyperactivity disorder (ADHD) traits captured by the Adult ADHD Self-Report Scale: An exploratory graph analysis","authors":"Maria Panagiotidi, Orestis Zavlis, Myles Jones, Tom Stafford","doi":"10.1002/mpr.1997","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Objective</h3>\n \n <p>To employ a novel analytic method—namely, exploratory graph analysis (EGA)—to subclinical attention-deficit hyperactivity disorder (ADHD) trait scores in order to reveal their dimensional structure, as well as compare EGA's performance with traditional factor-analytic techniques in doing so.</p>\n </section>\n \n <section>\n \n <h3> Method</h3>\n \n <p>1149 respondents from a survey panel completed the ASRS, a common ADHD scale made up of 18 distinct trait measures. EGA and factor analysis were applied to identify traits which associate with each other.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>EGA revealed 3 distinct communities, and ruled out a 2-community structure. This was in contrast to the 2-factor structure suggested by the factor analysis, and the conventional division of ADHD into two subdimensions (hyperactivity and inattention).</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>A dimensional structure of three clusters (hyperactivity, impulsivity and inattention) may better reflect the traits underlying ADHD. EGA has benefits in terms of both analytic approach and interpretability of findings.</p>\n </section>\n </div>","PeriodicalId":50310,"journal":{"name":"International Journal of Methods in Psychiatric Research","volume":"33 1","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2023-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10804265/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Methods in Psychiatric Research","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/mpr.1997","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PSYCHIATRY","Score":null,"Total":0}

引用次数: 0

Abstract

Objective

To employ a novel analytic method—namely, exploratory graph analysis (EGA)—to subclinical attention-deficit hyperactivity disorder (ADHD) trait scores in order to reveal their dimensional structure, as well as compare EGA's performance with traditional factor-analytic techniques in doing so.

Method

1149 respondents from a survey panel completed the ASRS, a common ADHD scale made up of 18 distinct trait measures. EGA and factor analysis were applied to identify traits which associate with each other.

Results

EGA revealed 3 distinct communities, and ruled out a 2-community structure. This was in contrast to the 2-factor structure suggested by the factor analysis, and the conventional division of ADHD into two subdimensions (hyperactivity and inattention).

Conclusion

A dimensional structure of three clusters (hyperactivity, impulsivity and inattention) may better reflect the traits underlying ADHD. EGA has benefits in terms of both analytic approach and interpretability of findings.

Abstract Image

查看原文本刊更多论文

成人注意力缺陷多动障碍(ADHD)自我报告量表捕获的ADHD特征的三维群体结构:探索性图分析。

目的:采用探索性图分析法(EGA)分析亚临床注意缺陷多动障碍(ADHD)特征得分，揭示其维度结构，并与传统的因子分析方法进行比较。方法:来自调查小组的1149名受访者完成了ASRS，这是一种常见的ADHD量表，由18个不同的特征测量组成。利用EGA和因子分析方法鉴定性状间的相关性。结果:EGA显示3个不同的群落，排除了2个群落结构。这与因子分析提出的双因素结构，以及将ADHD分为两个子维度(多动和注意力不集中)的传统划分形成对比。结论:多动、冲动和注意力不集中这三种类型的维度结构可以更好地反映ADHD的潜在特征。EGA在分析方法和结果的可解释性方面都有好处。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

International Journal of Methods in Psychiatric Research 医学-精神病学

CiteScore

5.20

自引率

6.50%

发文量

审稿时长

>12 weeks

期刊介绍： The International Journal of Methods in Psychiatric Research (MPR) publishes high-standard original research of a technical, methodological, experimental and clinical nature, contributing to the theory, methodology, practice and evaluation of mental and behavioural disorders. The journal targets in particular detailed methodological and design papers from major national and international multicentre studies. There is a close working relationship with the US National Institute of Mental Health, the World Health Organisation (WHO) Diagnostic Instruments Committees, as well as several other European and international organisations. MPR aims to publish rapidly articles of highest methodological quality in such areas as epidemiology, biostatistics, generics, psychopharmacology, psychology and the neurosciences. Articles informing about innovative and critical methodological, statistical and clinical issues, including nosology, can be submitted as regular papers and brief reports. Reviews are only occasionally accepted. MPR seeks to monitor, discuss, influence and improve the standards of mental health and behavioral neuroscience research by providing a platform for rapid publication of outstanding contributions. As a quarterly journal MPR is a major source of information and ideas and is an important medium for students, clinicians and researchers in psychiatry, clinical psychology, epidemiology and the allied disciplines in the mental health field.