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采用大数据方法来阐明最常用的自闭症谱系障碍评估工具中受限和重复行为的结构。

Using the big data approach to clarify the structure of restricted and repetitive behaviors across the most commonly used autism spectrum disorder measures.

机构信息

Melbourne School of Psychological Sciences, Faculty of Medicine, Dentistry, and Health Sciences, University of Melbourne, Victoria, Australia.

Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.

出版信息

Mol Autism. 2021 May 27;12(1):39. doi: 10.1186/s13229-021-00419-9.

DOI:10.1186/s13229-021-00419-9
PMID:34044873
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8162018/
Abstract

BACKGROUND

Restricted and repetitive behaviors (RRB) in autism spectrum disorder (ASD) encompass several distinct domains. However, commonly used general ASD measures provide broad RRB scores rather than assessing separate RRB domains. The main objective of the current investigation was to conduct a psychometric evaluation of the ability of the Social Responsiveness Scale (SRS-2), the Social Communication Questionnaire (SCQ), the Autism Diagnostic Interview-Revised (ADI-R) and the Autism Diagnostic Observation Schedule (ADOS) to capture different RRB constructs.

METHODS

Exploratory Structural Equation Modeling (ESEM) was conducted using individual item-level data from the SRS-2, SCQ, ADI-R and the ADOS. Data were obtained from five existing publicly available databases. For the SRS-2, the final sample consisted of N = 16,761 individuals (M = 9.43, SD = 3.73; 18.5% female); for the SCQ, of N = 15,840 (M = 7.99, SD = 4.06; 18.1% female); for the ADI-R, of N = 8985 (M = 8.86, SD = 4.68; 19.4% female); and for the ADOS, of N = 6314 (M = 12.29, SD = 6.79; 17.7% female).

RESULTS

The three-factor structure provided the most optimal and interpretable fit to data for all measures (comparative fit index ≥ .983, Tucker Lewis index ≥ .966, root mean square error of approximation ≤ .028). Repetitive-motor behaviors, insistence on sameness and unusual or circumscribed interests factors emerged across all instruments. No acceptable fit was identified for the ADOS.

LIMITATIONS

The five datasets used here afforded a large as well as wide distribution of the RRB item scores. However, measures used for establishing convergent and divergent validity were only available for a portion of the sample.

CONCLUSIONS

Reported findings offer promise for capturing important RRB domains using general ASD measures and highlight the need for measurement development.

摘要

背景

自闭症谱系障碍(ASD)中的受限和重复行为(RRB)包含几个不同的领域。然而,常用的一般 ASD 测量方法提供了广泛的 RRB 评分,而不是评估单独的 RRB 领域。本研究的主要目的是使用社交反应量表(SRS-2)、社交沟通问卷(SCQ)、自闭症诊断访谈修订版(ADI-R)和自闭症诊断观察量表(ADOS)的个体项目级别的数据进行心理计量评估,以捕捉不同的 RRB 结构。

方法

使用 SRS-2、SCQ、ADI-R 和 ADOS 的个体项目级别的数据进行探索性结构方程建模(ESEM)。数据来自五个现有的公开可用的数据库。对于 SRS-2,最终样本由 16761 人组成(M=9.43,SD=3.73;18.5%女性);对于 SCQ,有 15840 人(M=7.99,SD=4.06;18.1%女性);对于 ADI-R,有 8985 人(M=8.86,SD=4.68;19.4%女性);对于 ADOS,有 6314 人(M=12.29,SD=6.79;17.7%女性)。

结果

对于所有的测量方法,三因素结构为数据提供了最优化和可解释的拟合(比较拟合指数≥.983,塔克-刘易斯指数≥.966,均方根误差近似值≤.028)。重复运动行为、坚持同一性和异常或局限兴趣的因素出现在所有的工具中。ADOS 没有确定可接受的拟合。

局限性

这里使用的五个数据集提供了 RRB 项目得分的大而广泛的分布。然而,用于建立收敛和发散效度的测量方法仅适用于部分样本。

结论

报告的发现为使用一般 ASD 测量方法捕捉重要的 RRB 领域提供了希望,并强调了测量开发的必要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbc8/8162018/b2dcd1fb5d48/13229_2021_419_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbc8/8162018/b2dcd1fb5d48/13229_2021_419_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbc8/8162018/b2dcd1fb5d48/13229_2021_419_Fig1_HTML.jpg

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