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《儿童自闭症评定量表》中的社会与非社会因素

Social and nonsocial factors in the Childhood Autism Rating Scale.

作者信息

Stella J, Mundy P, Tuchman R

机构信息

Department of Psychology, University of Miami, Coral Gables, Florida 33124, USA.

出版信息

J Autism Dev Disord. 1999 Aug;29(4):307-17. doi: 10.1023/a:1022111419409.

DOI:10.1023/a:1022111419409
PMID:10478730
Abstract

The Childhood Autism Rating Scale (CARS) was factor analyzed to determine if distinct and independent "subgroups" of symptoms could be derived, which would be consistent with the current multidimensional theory and nosology for autism. To address this issue, the CARS was factor analyzed for a sample of 90 children with diagnoses of either autism or PDDNOS, based on DSM-III-R diagnostic criteria. Five factors emerged: Social Communication, Emotional Reactivity, Social Orienting, Cognitive and Behavioral Consistency, and Odd Sensory Exploration. Factor-based scales were created. These factor-based scales were demonstrated to distinguish subjects with autism from subjects with PDDNOS and nonautistic subjects. Factor-based scores were examined to determine the degree to which they were associated with individual differences (such as age, IQ, gender, history of regression, and history of abnormal EEGs) among children with pervasive developmental disorders (PDDs). The application of these distinct and independent factors may have important clinical and research implications. The generation of factor-based scales may provide information on the nature of the individual differences that are thought to be present among children with autism. Additionally, the use of factor-based scale scores may increase the sensitivity of the CARS for identifying younger and/or higher functioning individuals within the PDD spectrum.

摘要

对儿童自闭症评定量表(CARS)进行因素分析,以确定是否可以得出不同且独立的症状“亚组”,这将与当前关于自闭症的多维理论和疾病分类学相一致。为解决这一问题,基于《精神疾病诊断与统计手册第三版修订本》(DSM-III-R)诊断标准,对90名被诊断为自闭症或广泛性发育障碍未特定型(PDDNOS)的儿童样本进行了CARS因素分析。出现了五个因素:社交沟通、情绪反应、社交定向、认知与行为一致性以及奇特的感觉探索。创建了基于因素的量表。这些基于因素的量表被证明能够区分自闭症患者与PDDNOS患者以及非自闭症患者。对基于因素的分数进行了检查,以确定它们与广泛性发育障碍(PDD)儿童个体差异(如年龄、智商、性别、退行史和异常脑电图史)的关联程度。这些不同且独立因素的应用可能具有重要的临床和研究意义。基于因素的量表的产生可能会提供有关自闭症儿童中被认为存在的个体差异性质的信息。此外,使用基于因素的量表分数可能会提高CARS在识别PDD谱系中较年幼和/或功能较高个体方面的敏感性。

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Children with autism fail to orient to naturally occurring social stimuli.患有自闭症的儿童无法对自然出现的社交刺激做出定向反应。
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