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唐氏综合征儿童和青少年自闭症症状的潜在特征。

Latent profiles of autism symptoms in children and adolescents with Down syndrome.

机构信息

Human Development and Family Studies, Colorado State University, Fort Collins, CO, USA.

Department of Psychology, Colorado State University, Fort Collins, CO, USA.

出版信息

J Intellect Disabil Res. 2022 Mar;66(3):265-281. doi: 10.1111/jir.12910. Epub 2022 Jan 4.

Abstract

BACKGROUND

Down syndrome (DS) is associated with elevated rates of autism spectrum disorder (ASD) and autism symptomatology. To better characterise heterogeneity in ASD symptomatology in DS, profiles of caregiver-reported ASD symptoms were modelled for children and adolescents with DS.

METHODS

Participants (n = 125) were recruited through several multi-site research studies on cognition and language in DS. Using the Social Responsiveness Scale-2 (SRS-2; Constantino and Gruber 2012), two latent profile analyses (LPA) were performed, one on the broad composite scores of social communication and interaction and restricted interests and repetitive behaviour, and a second on the four social dimensions of social communication, social motivation, social awareness, and social cognition.

RESULTS

A three-profile model was the best fit for both analyses, with each analysis yielding a low ASD symptom profile, an elevated or mixed ASD symptom profile and a high ASD symptom profile. Associations were observed between profile probability scores and IQ, the number of co-occurring biomedical conditions reported, sex, and SRS-2 form.

CONCLUSIONS

Characterising heterogeneity in ASD symptom profiles can inform more personalised supports in this population, and implications for potential therapeutic approaches for individuals with DS are discussed.

摘要

背景

唐氏综合征(DS)与自闭症谱系障碍(ASD)和自闭症症状的发生率升高有关。为了更好地描述 DS 中 ASD 症状的异质性,对 DS 儿童和青少年的自闭症症状进行了 caregiver 报告的 ASD 症状特征分析。

方法

通过几项关于 DS 认知和语言的多中心研究招募了参与者(n=125)。使用社会反应量表-2(SRS-2;Constantino 和 Gruber 2012),对社会沟通和互动以及受限兴趣和重复行为的广泛综合分数,以及社会沟通、社会动机、社会意识和社会认知的四个社会维度,进行了两项潜在剖面分析(LPA)。

结果

两种分析都表明,三模型是最佳拟合模型,每个分析都产生了低 ASD 症状模型、高或混合 ASD 症状模型和高 ASD 症状模型。概率评分与智商、报告的共病生物医学状况的数量、性别和 SRS-2 形式之间存在相关性。

结论

对 ASD 症状特征的异质性进行特征分析可以为该人群提供更个性化的支持,并且讨论了针对 DS 个体的潜在治疗方法的意义。

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