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使用验证性因子分析和新的 SPARK 研究样本对 ASD 儿童独特运动障碍的发现进行交叉复制。

Cross-replicating findings on unique motor impairments of children with ASD using confirmatory factor analysis and a novel SPARK study sample.

机构信息

Department of Physical Therapy, University of Delaware, Newark, Delaware, USA.

Biomechanics & Movement Science Program, University of Delaware, Newark, Delaware, USA.

出版信息

Autism Res. 2023 May;16(5):967-980. doi: 10.1002/aur.2904. Epub 2023 Feb 25.

Abstract

A series of recent reports have shed light on the pervasive nature of motor impairments in children with ASD (Bhat, 2020, 2021, Bhat et al., 2022), underscoring the importance of providing ASD clinicians efficient and accurate tools for motor screening. The Developmental Coordination Disorder-Questionnaire (DCD-Q) is a widely used motor screening tool, yet scant evidence exists regarding its psychometric properties in children with ASD. In a recent Exploratory Factor Analysis (EFA) of the 15-item DCD-Q in a large sample of children with ASD (SPARK study), we found a 5-factor latent structure that identified unique motor impairments in a large sample of children with ASD (Bhat et al., 2022). In the current study, we extend this work by cross-replicating the EFA findings of unique ASD-related motor issues using Confirmatory Factor Analysis (CFA) in a new, more recent wave of children with ASD from the SPARK study (N = 9721). The fits and interpretability of 11 hypothesis-driven CFA models, including 8 correlated-factors, 1 second-order, and 2 bifactor models were compared. Our findings supported the previous 5-factor model with 2 gross motor subdomains, 1 fine motor domain (similar to the original DCD-Q) and 2 general coordination subdomains. This model demonstrated acceptable fit in the new sample as well as superior fit compared to several other parsimonious correlated-factors models. However, the second-order and bifactor models fit slightly better and supported the presence of a general motor skills factor, although 38% of the common variance in the DCD-Q items remained attributable to the 5 subdomains. Using one of the bifactor models, measurement invariance was also supported for DCD-Q across sex, race, and co-occurring conditions of language disorder and intellectual disability. Only partial invariance was supported when testing DCD-Q scores across different age groups. These findings reveal a more complex dimensional picture of the DCD-Q in children with ASD. Results suggest that the DCD-Q can be used in two ways, total scores adequately assess general motor skills for brief screening and subdomain scores offer unique information on the multidimensional motor problems of children with ASD. If subdomain data are of interest, our findings call into question the practice of relying on 3 original subscales of the DCD-Q when screening for ASD-related motor difficulties, whereas 4 out of 5 subscale scores may better highlight domain-specific motor problems. Future studies should continue to further validate DCD-Q's ability to screen for multidimensional motor problems.

摘要

最近的一系列报告揭示了 ASD 儿童运动障碍的普遍存在(Bhat,2020 年,2021 年,Bhat 等人,2022 年),强调了为 ASD 临床医生提供高效准确的运动筛查工具的重要性。发育协调障碍问卷(DCD-Q)是一种广泛使用的运动筛查工具,但关于其在 ASD 儿童中的心理测量特性的证据很少。在对 ASD 儿童大样本(SPARK 研究)的 15 项 DCD-Q 的探索性因素分析(EFA)中,我们发现了一个 5 因素潜在结构,该结构在 ASD 儿童的大样本中识别出了独特的运动障碍(Bhat 等人,2022 年)。在当前的研究中,我们通过对 SPARK 研究中新的更近期的 ASD 儿童样本(N=9721)进行验证性因素分析(CFA),扩展了这项工作,以交叉复制与 ASD 相关的独特运动问题的 EFA 发现。比较了 11 个假设驱动的 CFA 模型的拟合度和可解释性,包括 8 个相关因素、1 个二阶模型和 2 个双因素模型。我们的研究结果支持之前的 5 因素模型,该模型具有 2 个大运动子域、1 个小运动域(与原始 DCD-Q 相似)和 2 个一般协调子域。该模型在新样本中表现出可接受的拟合度,并且与其他几个简约的相关因素模型相比具有更好的拟合度。然而,二阶和双因素模型的拟合效果略好,并支持存在一般运动技能因素,尽管 DCD-Q 项目的 38%共同方差仍归因于 5 个子域。使用双因素模型之一,还支持 DCD-Q 在性别、种族以及语言障碍和智力障碍共病情况下的测量不变性。当在不同年龄组测试 DCD-Q 分数时,仅支持部分不变性。这些发现揭示了 ASD 儿童 DCD-Q 更复杂的维度图景。结果表明,DCD-Q 可以以两种方式使用,总分数可以充分评估简短筛查的一般运动技能,而子域分数可以提供有关 ASD 儿童多维运动问题的独特信息。如果对子域数据感兴趣,我们的研究结果质疑在筛查与 ASD 相关的运动困难时依赖 DCD-Q 的 3 个原始子量表的做法,而 5 个子量表中有 4 个可能更好地突出特定领域的运动问题。未来的研究应继续进一步验证 DCD-Q 筛查多维运动问题的能力。

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