Applied Psychology, Faculty of Education, Western University, 1137 Western Rd, London, ON, N6G 1G7, Canada.
Western Institute for Neuroscience, Western University, London, Canada.
BMC Psychol. 2024 Oct 5;12(1):534. doi: 10.1186/s40359-024-02044-6.
Anxiety is the most prevalent comorbidity among children and adolescents with autism spectrum disorder (ASD), yet little is known about the associated risk factors.
In a heterogenous cohort of children aged 5-18 years old (n = 262, 42% ASD), participants and their parents completed standardized questionnaires to assess anxiety, ASD symptom severity, inattention/hyperactivity, emotional problems, depressive symptoms, parental styles and stress, and demographic factors.
An artificial neural network analysis using a self-organizing map, a statistical technique used to cluster large datasets, revealed 3 distinct anxiety profiles: low (n = 114, 5% ASD), moderate (n = 70, 64% ASD) and high (n = 78, 96% ASD) anxiety. A recursive feature elimination analysis revealed that depression and peer problems contributed the most to differences between the anxiety profiles. Difficulties with peers in individuals with ASD who experience anxiety may be related to challenges with social competence and this may heighten depressive symptoms.
Findings highlight the importance of assessing depressive symptoms in children and adolescents with ASD who experience anxiety. Identifying anxiety profiles among children and adolescents with ASD may prove beneficial in clinical practice by facilitating the development of tailored interventions that aid in managing anxiety and depressive symptoms. Furthermore, strengthening social communication skills may improve peer relationships and could aid in managing depressive symptoms among children and adolescents with ASD who experience anxiety.
焦虑是自闭症谱系障碍(ASD)儿童和青少年中最常见的共病,但有关其相关风险因素的了解甚少。
在一个年龄在 5-18 岁的异质队列中(n=262,42%为 ASD),参与者及其父母完成了标准化问卷,以评估焦虑、ASD 症状严重程度、注意力不集中/多动、情绪问题、抑郁症状、父母风格和压力以及人口统计学因素。
使用自组织映射的人工神经网络分析,一种用于聚类大数据集的统计技术,揭示了 3 种不同的焦虑特征:低(n=114,5%为 ASD)、中(n=70,64%为 ASD)和高(n=78,96%为 ASD)焦虑。递归特征消除分析显示,抑郁和同伴问题对焦虑特征差异的贡献最大。在经历焦虑的 ASD 个体中,与同伴的困难可能与社交能力的挑战有关,这可能会加剧抑郁症状。
研究结果强调了在经历焦虑的 ASD 儿童和青少年中评估抑郁症状的重要性。在 ASD 儿童和青少年中确定焦虑特征可能在临床实践中证明是有益的,因为这有助于制定针对特定干预措施,以帮助管理焦虑和抑郁症状。此外,增强社交沟通技能可能会改善同伴关系,并有助于管理经历焦虑的 ASD 儿童和青少年的抑郁症状。