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

IF 2.2 4区 医学 Q1 EDUCATION, SPECIAL Research in Autism Spectrum Disorders Pub Date : 2024-06-08 DOI:10.1016/j.rasd.2024.102413
Tamara E. Rosen , Craig Rodriguez-Seijas , Kenneth D. Gadow , Matthew D. Lerner
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引用次数: 0

摘要

背景自闭症患者同时出现焦虑和抑郁(AD+)的情况可能是由跨诊断的内化症状因素造成的。有关自闭症焦虑和/或抑郁症状的证据不一;有些表现符合 DSM 标准,而另一些则反映了与自闭症特质相关的独特表现。本研究使用 DSM 评定量表测量了自闭症青少年(6-18 岁)的焦虑和抑郁症状。首先,对焦虑和抑郁的 DSM 症状进行了确证因子分析(CFA)。接着,为了考虑自闭症特征之间的关系,在后续的探索性因素分析(EFA)中将这些特征与焦虑和抑郁症状结合起来。此外,将焦虑和抑郁症状包括在内,并考虑到它们之间的重叠,与这些症状的跨诊断概念是一致的。焦虑、抑郁和自闭症特征的 EFA 支持一个包含三个因子的模型:焦虑和抑郁、社交焦虑和自闭症。一部分自闭症特质被加载到焦虑抑郁和社交焦虑因子上。DSM 模型和 EFA 模型的拟合指数都不足,但 EFA 模型比 DSM 模型的拟合指数更高。此外,以往的研究也与所获得的 EFA 因子相吻合。总之,研究结果强调了在研究自闭症的内化症状结构时,将自闭症特质与焦虑和抑郁一起建模的重要性。
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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.

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来源期刊
CiteScore
4.20
自引率
8.00%
发文量
108
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.
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