Anxiety in children and adolescents with autism spectrum disorder: behavioural phenotypes and environmental factors.

IF 3 3区 心理学 Q1 PSYCHOLOGY, MULTIDISCIPLINARY BMC Psychology Pub Date : 2024-10-05 DOI:10.1186/s40359-024-02044-6
Caitlin Leachman, Emily S Nichols, Sarah Al-Saoud, Emma G Duerden
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Abstract

Background: Anxiety is the most prevalent comorbidity among children and adolescents with autism spectrum disorder (ASD), yet little is known about the associated risk factors.

Methods: 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.

Results: 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.

Conclusion: 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.

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自闭症谱系障碍儿童和青少年的焦虑:行为表型和环境因素。
背景:焦虑是患有自闭症谱系障碍(ASD)的儿童和青少年中最普遍的合并症,但人们对相关的风险因素却知之甚少:在一个由 5-18 岁儿童(n = 262,42% ASD)组成的异质性队列中,参与者及其父母填写了标准化问卷,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:使用自组织图(一种用于对大型数据集进行聚类的统计技术)进行的人工神经网络分析显示了三种不同的焦虑特征:低度焦虑(n = 114,5% ASD)、中度焦虑(n = 70,64% ASD)和高度焦虑(n = 78,96% ASD)。递归特征消除分析显示,抑郁和同伴问题对焦虑特征之间的差异影响最大。焦虑的 ASD 患者与同伴相处的困难可能与社交能力的挑战有关,这可能会加重抑郁症状:研究结果凸显了评估焦虑型 ASD 儿童和青少年抑郁症状的重要性。对患有自闭症的儿童和青少年的焦虑特征进行识别,有助于制定有针对性的干预措施,帮助他们控制焦虑和抑郁症状,从而有利于临床实践。此外,加强社交沟通技能可改善同伴关系,有助于控制患有焦虑症的自闭症儿童和青少年的抑郁症状。
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来源期刊
BMC Psychology
BMC Psychology Psychology-Psychology (all)
CiteScore
3.90
自引率
2.80%
发文量
265
审稿时长
24 weeks
期刊介绍: BMC Psychology is an open access, peer-reviewed journal that considers manuscripts on all aspects of psychology, human behavior and the mind, including developmental, clinical, cognitive, experimental, health and social psychology, as well as personality and individual differences. The journal welcomes quantitative and qualitative research methods, including animal studies.
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