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九个美国社区自闭症谱系障碍的确定因素预测。

Predictors of ascertainment of autism spectrum disorders across nine US communities.

机构信息

Mel and Enid Zuckerman College of Public Health, University of Arizona, 1295 N. Martin Avenue, Tucson, AZ 85721, USA.

出版信息

J Autism Dev Disord. 2013 Aug;43(8):1867-79. doi: 10.1007/s10803-012-1732-4.

Abstract

Autism spectrum disorders (ASD) prevalence estimates derived from a single data source under-identify children and provide a biased profile of case characteristics. We analyzed characteristics of 1,919 children with ASD identified by the Autism and Developmental Disabilities Monitoring Network. Cases ascertained only at education sources were compared to those identified at health sources. 38 % were education-only. These were older at their earliest evaluation (54.5 vs. 42.0 months, p < 0.001) and earliest ASD diagnosis (62 vs. 53 months, p < 0.001). More lived in census blocks with lower adult education (p < 0.001). Lower educational attainment of adults in census blocks of residence of education-only cases suggests disparities in access to clinical services with the schools providing crucial services to many families.

摘要

自闭症谱系障碍(ASD)的患病率估计值仅来自单一数据源,因此会低估儿童患者数量,并提供有偏差的病例特征概况。我们分析了自闭症及发育障碍监测网络确定的 1919 名自闭症儿童的特征。仅从教育来源确定的病例与从卫生保健来源确定的病例进行了比较。其中 38%是仅通过教育来源发现的病例。这些病例在最早的评估(54.5 个月 vs. 42.0 个月,p < 0.001)和最早的 ASD 诊断(62 个月 vs. 53 个月,p < 0.001)时年龄更大。他们更可能居住在成年人受教育程度较低的普查块中(p < 0.001)。仅通过教育来源确定的病例居住的普查块中成年人受教育程度较低,这表明在获得临床服务方面存在差异,学校为许多家庭提供了重要的服务。

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