Overlap of anxiety, depression, irritability and aggressiveness in autism spectrum disorder: an exploratory study using cluster analysis

IF 1.1 Q4 PSYCHOLOGY, DEVELOPMENTAL

Advances in Autism Pub Date : 2021-09-27 DOI:10.1108/aia-08-2020-0048

F. Jean, A. Jouni, M. Bouvard, G. Camelot, A. Beggiato, I. Scheid, A. Gaman, C. Bouquet, Myryam Ly-Le Moal, J. Houenou, R. Delorme, M. Leboyer, A. Amestoy

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引用次数: 2

Abstract

Purpose This study aims to explore the overlap between symptoms of depression, anxiety, irritability and aggressiveness in autism spectrum disorder (ASD), to measure specific and idiosyncratic emotional responses. Design/methodology/approach A total of 42 high functioning adolescents and adults, between 12 and 39 years old, meeting the diagnostic and statistical manual of mental disorders – 5 criteria for ASD were selected from the InFoR Autism cohort. Data were analyzed in an exploratory way using Hill and Smith and K-medoids cluster analysis. Findings The authors found an aggregation of anxiety, depression, aggressive behaviors and irritability. Cluster analysis was maximized for two groups with 17 and 25 participants, respectively. The first group was characterized by high levels of symptoms of irritability, aggressiveness, hyperactivity and intermediate levels of anxiety and depression. In the first group, participants had significantly higher levels of autistic symptoms considering the social responsiveness scale and repetitive behavior scale-revised scales (relatives’ reports) suggesting that a particular group of subjects with a high level of ASD specific symptoms may express anxiety and depression in a specific way based on externalizing behaviors in addition to the common mood and anxiety symptoms. Research limitations/implications Improved understanding of the aggregation of externalized symptoms with symptoms of anxiety and mood disorders in ASD should lead to a better understanding of the underlying mechanisms related to emotion dysregulation in ASD. Practical implications Improved knowledge of the symptoms could lead to enhanced detection of psychiatric comorbidities in ASD. Originality/value The study was based on a transdiagnostic approach of psychiatric symptoms in individuals with ASD. Aggregation and clustering analysis was used to explore naive patterns of these psychiatric symptoms.

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自闭症谱系障碍中焦虑、抑郁、易怒和攻击性的重叠:采用聚类分析的探索性研究

目的探讨自闭症谱系障碍(ASD)患者抑郁、焦虑、易怒和攻击性症状之间的重叠，以测量其特异性和特质性情绪反应。设计/方法/方法从InFoR自闭症队列中选择42名符合精神障碍诊断和统计手册- 5项ASD标准的高功能青少年和成年人，年龄在12至39岁之间。采用Hill and Smith和K-medoids聚类分析对数据进行探索性分析。研究结果作者发现了焦虑、抑郁、攻击行为和易怒的集合。两组分别有17名和25名参与者，聚类分析得到了最大化。第一组的特点是高水平的易怒、攻击性、多动以及中等水平的焦虑和抑郁。在第一组中，考虑到社会反应量表和重复行为量表-修订量表(亲属报告)，参与者的自闭症症状水平显著较高，这表明特定组具有高水平ASD特异性症状的受试者可能在常见情绪和焦虑症状之外，还以特定的外化行为方式表达焦虑和抑郁。研究局限性/意义对ASD中焦虑和情绪障碍症状的外化症状聚集的更好理解将有助于更好地理解ASD中情绪失调的潜在机制。实际意义提高对症状的认识可以提高对ASD精神合并症的检测。独创性/价值本研究基于对ASD患者精神症状的跨诊断方法。采用聚集和聚类分析探讨这些精神症状的幼稚模式。

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来源期刊

Advances in Autism PSYCHOLOGY, DEVELOPMENTAL-

CiteScore

2.30

自引率

0.00%

发文量

期刊介绍： Advances in Autism is unique in its focus on the health and care aspects and outcomes for people with autism. The journal''s content is international in focus and peer-reviewed. It includes the following: research-based articles evidence-based clinical and support articles articles on policy and advances in services where these can be internationally applied. Key areas of research covered include: clinical developments people''s experience through qualitative research policy debates and outcomes inclusion and quality of life developmental issues population and epidemiological studies services developments evidence-based reviews of key practice issues.