Autism Spectrum Disorders as a Qualitatively Distinct Category From Typical Behavior in a Large, Clinically Ascertained Sample
Autism Spectrum Disorders as a Qualitatively Distinct Category From Typical Behavior in a Large, Clinically Ascertained Sample
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DOI：
10.1177/1073191109356534
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发表时间：
2010-09-01
期刊：
影响因子：
3.8
通讯作者：
Eng, Charis
中科院分区：
文献类型：
--
作者：
Frazier, Thomas W.;Youngstrom, Eric A.;Eng, Charis
本研究评估了自闭症谱系障碍（ASDs）作为一个独立的类别与自闭症影响家庭中的典型行为不同的假设。asd的潜在结构，分类与维度，为未来的诊断修订、临床评估和未来研究的设计提供了信息。数据来自互动自闭症网络，这是一个优先招募至少有一个自闭症患儿的家庭的注册机构。照顾者使用社会反应量表和社会沟通问卷报告受影响和未受影响儿童的自闭症症状。分类模型和潜在变量模型检验了维度模型和分类模型是否最适合数据。分类计量学和潜在变量模型比较一致地表明，所有指标集的两组混合，即使在被指定为不受照顾者影响的参与者中也是如此。所确定的类别与残疾的外部指标相关联，支持其有效性。结果表明，ASD最好被定性为一个类别，与ASD影响家庭的典型行为不同。
The present study evaluated the hypothesis that autism spectrum disorders (ASDs) are best represented as a discrete category distinct from typical behavior within autism-affected families. The latent structure, categorical versus dimensional, of ASDs informs future diagnostic revisions, clinical assessment, and the design of future research. Data were obtained from Interactive Autism Network, a registry that preferentially recruits families with at least one ASD-affected child. Caregivers reported autism symptoms for affected and unaffected children using the Social Responsiveness Scale and Social Communication Questionnaire. Taxometric and latent variable models examined whether dimensional or categorical models best fit the data. Taxometric and latent variable model comparisons consistently indicated two-group mixtures for all indicator sets, even in participants designated as unaffected by caregivers. The identified category was associated with external indicators of disability, supporting its validity. Results indicated that ASD is best characterized as a category, distinct from typical behavior within ASD-affected families.