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首页> 外文期刊>Journal of Autism and Developmental Disorders >Stability of Initial Autism Spectrum Disorder Diagnoses in Community Settings
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Stability of Initial Autism Spectrum Disorder Diagnoses in Community Settings

机译：在社区环境中初始自闭症谱系障碍诊断的稳定性

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The study’s objectives were to assess diagnostic stability of initial autism spectrum disorder (ASD) diagnoses in community settings and identify factors associated with diagnostic instability using data from a national Web-based autism registry. A Cox proportional hazards model was used to assess the relative risk of change in initial ASD diagnosis as a function of demographic characteristics, diagnostic subtype, environmental factors and natural history. Autistic disorder was the most stable initial diagnosis; pervasive developmental disorder—not otherwise specified was the least stable. Additional factors such as diagnosing clinician, region, when in time a child was initially diagnosed, and history of autistic regression also were significantly associated with diagnostic stability in community settings. Findings suggest that the present classification system and other secular factors may be contributing to increasing instability of community-assigned labels of ASD.
机译：这项研究的目的是评估社区环境中初始自闭症谱系障碍（ASD）诊断的诊断稳定性，并使用基于国家网络的自闭症注册中心的数据，确定与诊断不稳定性相关的因素。使用Cox比例风险模型评估初始ASD诊断中变化的相对风险，该风险是人口统计学特征，诊断亚型，环境因素和自然史的函数。自闭症是最稳定的初始诊断。广泛性发育障碍-除非另有说明，否则最不稳定。其他因素，例如诊断临床医生，地区，最初诊断为儿童的时间以及自闭症的消退史，也与社区环境的诊断稳定性显着相关。研究结果表明，当前的分类系统和其他世俗因素可能会加剧由社区分配的ASD标签的不稳定性。

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