Tamara E. Rosen , Craig Rodriguez-Seijas , Kenneth D. Gadow , Matthew D. Lerner
{"title":"将自闭症特征纳入焦虑和抑郁模型,可改善自闭症青少年的拟合度和独特的因子结构","authors":"Tamara E. Rosen , Craig Rodriguez-Seijas , Kenneth D. Gadow , Matthew D. Lerner","doi":"10.1016/j.rasd.2024.102413","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>The co-occurrence of anxiety and depression (AD+) in autism may be explained by a transdiagnostic internalizing symptom factor. Evidence regarding anxiety and/or depression symptoms in autism is mixed; some presentations conform to <em>DSM</em> criteria, whereas others reflect distinct, autism trait-relatedpresentation.</p></div><div><h3>Method</h3><p>The present study examined the extent to which autism traits relate to anxiety, depression, and AD+ in autism. Anxiety and depression symptoms were measured in autistic youth (ages 6–18) using a <em>DSM</em> rating scale. First, a confirmatory factor analysis (CFA) of anxiety and depression <em>DSM</em> symptoms was conducted. Next, to account for the relation of autism traits, these traits were included with anxiety and depression symptoms in a follow-up exploratory factor analysis (EFA). In addition, the inclusion of anxiety and depression symptoms, and allowing for their overlap, was consistent with a transdiagnostic conceptualization of these symptoms.</p></div><div><h3>Results and conclusions</h3><p>The CFA showed that the <em>DSM</em> model of depression and anxiety symptoms did not adequately fit the autistic participants. The EFA of anxiety, depression, and autism traits supported a model with three factors: Anxiety and Depression, Social Anxiety, and Autism. A subset of autism traits loaded onto the Anxiety and Depression and Social Anxiety factors. Both the DSM and the EFA model had inadequate fit indices, though the EFA showed better fit over the DSM model. In addition, previous research converges with the obtained EFA factors. Overall, the findings highlight the importance of modeling autism traits along with anxiety and depression when examining internalizing symptom structures in autism.</p></div>","PeriodicalId":48255,"journal":{"name":"Research in Autism Spectrum Disorders","volume":"116 ","pages":"Article 102413"},"PeriodicalIF":2.2000,"publicationDate":"2024-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Incorporating autism traits into an anxiety and depression model results in improved fit and distinct factor structure for autistic youth\",\"authors\":\"Tamara E. Rosen , Craig Rodriguez-Seijas , Kenneth D. Gadow , Matthew D. Lerner\",\"doi\":\"10.1016/j.rasd.2024.102413\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><p>The co-occurrence of anxiety and depression (AD+) in autism may be explained by a transdiagnostic internalizing symptom factor. Evidence regarding anxiety and/or depression symptoms in autism is mixed; some presentations conform to <em>DSM</em> criteria, whereas others reflect distinct, autism trait-relatedpresentation.</p></div><div><h3>Method</h3><p>The present study examined the extent to which autism traits relate to anxiety, depression, and AD+ in autism. Anxiety and depression symptoms were measured in autistic youth (ages 6–18) using a <em>DSM</em> rating scale. First, a confirmatory factor analysis (CFA) of anxiety and depression <em>DSM</em> symptoms was conducted. Next, to account for the relation of autism traits, these traits were included with anxiety and depression symptoms in a follow-up exploratory factor analysis (EFA). In addition, the inclusion of anxiety and depression symptoms, and allowing for their overlap, was consistent with a transdiagnostic conceptualization of these symptoms.</p></div><div><h3>Results and conclusions</h3><p>The CFA showed that the <em>DSM</em> model of depression and anxiety symptoms did not adequately fit the autistic participants. The EFA of anxiety, depression, and autism traits supported a model with three factors: Anxiety and Depression, Social Anxiety, and Autism. A subset of autism traits loaded onto the Anxiety and Depression and Social Anxiety factors. Both the DSM and the EFA model had inadequate fit indices, though the EFA showed better fit over the DSM model. In addition, previous research converges with the obtained EFA factors. Overall, the findings highlight the importance of modeling autism traits along with anxiety and depression when examining internalizing symptom structures in autism.</p></div>\",\"PeriodicalId\":48255,\"journal\":{\"name\":\"Research in Autism Spectrum Disorders\",\"volume\":\"116 \",\"pages\":\"Article 102413\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2024-06-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Research in Autism Spectrum Disorders\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1750946724000886\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"EDUCATION, SPECIAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research in Autism Spectrum Disorders","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1750946724000886","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EDUCATION, SPECIAL","Score":null,"Total":0}
Incorporating autism traits into an anxiety and depression model results in improved fit and distinct factor structure for autistic youth
Background
The co-occurrence of anxiety and depression (AD+) in autism may be explained by a transdiagnostic internalizing symptom factor. Evidence regarding anxiety and/or depression symptoms in autism is mixed; some presentations conform to DSM criteria, whereas others reflect distinct, autism trait-relatedpresentation.
Method
The present study examined the extent to which autism traits relate to anxiety, depression, and AD+ in autism. Anxiety and depression symptoms were measured in autistic youth (ages 6–18) using a DSM rating scale. First, a confirmatory factor analysis (CFA) of anxiety and depression DSM symptoms was conducted. Next, to account for the relation of autism traits, these traits were included with anxiety and depression symptoms in a follow-up exploratory factor analysis (EFA). In addition, the inclusion of anxiety and depression symptoms, and allowing for their overlap, was consistent with a transdiagnostic conceptualization of these symptoms.
Results and conclusions
The CFA showed that the DSM model of depression and anxiety symptoms did not adequately fit the autistic participants. The EFA of anxiety, depression, and autism traits supported a model with three factors: Anxiety and Depression, Social Anxiety, and Autism. A subset of autism traits loaded onto the Anxiety and Depression and Social Anxiety factors. Both the DSM and the EFA model had inadequate fit indices, though the EFA showed better fit over the DSM model. In addition, previous research converges with the obtained EFA factors. Overall, the findings highlight the importance of modeling autism traits along with anxiety and depression when examining internalizing symptom structures in autism.
期刊介绍:
Research in Autism Spectrum Disorders (RASD) publishes high quality empirical articles and reviews that contribute to a better understanding of Autism Spectrum Disorders (ASD) at all levels of description; genetic, neurobiological, cognitive, and behavioral. The primary focus of the journal is to bridge the gap between basic research at these levels, and the practical questions and difficulties that are faced by individuals with ASD and their families, as well as carers, educators and clinicians. In addition, the journal encourages submissions on topics that remain under-researched in the field. We know shamefully little about the causes and consequences of the significant language and general intellectual impairments that characterize half of all individuals with ASD. We know even less about the challenges that women with ASD face and less still about the needs of individuals with ASD as they grow older. Medical and psychological co-morbidities and the complications they bring with them for the diagnosis and treatment of ASD represents another area of relatively little research. At RASD we are committed to promoting high-quality and rigorous research on all of these issues, and we look forward to receiving many excellent submissions.