The structure of the Autism Diagnostic Interview-Revised: diagnostic and phenotypic implications
The structure of the Autism Diagnostic Interview-Revised: diagnostic and phenotypic implications
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DOI：
10.1111/j.1469-7610.2008.02018.x
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发表时间：
2009-06-01
影响因子：
7.6
通讯作者：
Houts, Carrie
中科院分区：
文献类型：
--
作者：
Snow, Anne V.;Lecavalier, Luc;Houts, Carrie
多元统计可以帮助完善疾病分类学和广泛性发育障碍（PDD）的诊断，也为遗传学研究提供重要信息。自闭症诊断访谈修订版（ADI-R）是PDD领域最广泛使用的评估工具之一。目前的研究调查了其因素结构和收敛与适应，语言和智力functioning.Analyses的措施进行了1,861个人与PDD之间的4和18岁（平均值= 8.3，SD = 3.2）。ADI-R评分进行验证性因素分析（CFA）和探索性因素分析（EFA）。根据语言状态（n = 1，329个语言，n = 532个非语言）进行分析，并分别针对算法项目和所有项目进行分析。ADI-R分数与适应性、语言和智力功能的测量分数相关。CFA表明，两个和三个因素的解决方案是相似的，并略优于一个因素的解决方案上级。EFA和内部一致性的措施提供了一些支持的两个因素的解决方案，包括社会和沟通行为和限制和重复的行为。功能的措施与ADI-R领域的分数在非语言的children，但呈负相关，在verbal children.Overall，数据表明，自闭症mandatology可以解释统计学与两个领域的模型。它还指出了不同的症状可能有助于连锁分析。两个因素模型的影响进行了讨论。
Multivariate statistics can assist in refining the nosology and diagnosis of pervasive developmental disorders (PDD) and also contribute important information for genetic studies. The Autism Diagnostic Interview-Revised (ADI-R) is one of the most widely used assessment instruments in the field of PDD. The current study investigated its factor structure and convergence with measures of adaptive, language, and intellectual functioning.Analyses were conducted on 1,861 individuals with PDD between the ages of 4 and 18 years (mean = 8.3, SD = 3.2). ADI-R scores were submitted to confirmatory factor analysis (CFA) and exploratory factor analysis (EFA). Analyses were conducted according to verbal status (n = 1,329 verbal, n = 532 nonverbal) and separately for algorithm items only and for all items. ADI-R scores were correlated with scores on measures of adaptive, language, and intellectual functioning.Several factor solutions were examined and compared. CFAs suggested that two- and three-factor solutions were similar, and slightly superior to a one-factor solution. EFAs and measures of internal consistency provided some support for a two-factor solution consisting of social and communication behaviors and restricted and repetitive behaviors. Measures of functioning were not associated with ADI-R domain scores in nonverbal children, but negatively correlated in verbal children.Overall, data suggested that autism symptomatology can be explained statistically with a two-domain model. It also pointed to different symptoms susceptible to be helpful in linkage analyses. Implications of a two-factor model are discussed.