学龄前儿童神经心理发育研究中自闭症谱系障碍的筛查方法

E. Tkachuk, N. N. Martynovich, L. Rychkova
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引用次数: 1

摘要

的目标。评估儿科服务部门现有自闭症谱系障碍筛查方法的有效性;为了证明在实践中不可能用现有的儿科方法来识别自闭症谱系障碍的迹象。方法。对187例56岁学龄前儿童的神经心理发育进行了调查。根据A.M.的诊断,他的神经系统状况很焦虑教区居民,用瑞文递进矩阵计算的智力水平,用V.R.库奇马的方法计算的多动症的存在,用V.R.雅的方法计算的精神表现。对自闭症谱系障碍的筛查诊断进行了研究。结果。神经系统状态评估显示,10.22.2%的儿童肌腱反射增加,12.32.4%的儿童肌腱反射减少。拉文纳测验中智力水平的研究表明,47.13.7%的儿童智力水平处于平均水平,52.93.7%的儿童智力低于平均水平。自闭症谱系障碍的筛查诊断并没有发现异常,然而,5.31.6%的儿童有自闭症谱系障碍易感的迹象(对变化的适应能力下降,紧张和恐惧,语言和非语言交流,活动水平和智力反应的一致性)。学龄前儿童心理表现生产力指标为5.40.5。注意缺陷发生率分别为5.91.7%(家长问卷)和8.62.0%(教师问卷)。焦虑程度为9.60.3分。结论。目前已知的用于检测自闭症谱系障碍的筛查方法,在我们看来,可用于儿科服务,是不翔实的;寻找自闭症最敏感的标记应该基于对自闭症谱系障碍的表观遗传机制的理解。
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Screening methods for autism spectrum disorders in the study of neuropsychological development of preschool children
Aim. To assess the effectiveness of screening methods for diagnosing autism spectrum disorders available to the pediatric service; to prove in practice impossibilities to identify signs of autism spectrum disorders by using the existed pediatric methods. Methods. The neuropsychological development of 187 preschool children (56 years old) was investigated. The neurological status, anxiety according to A.M. Parishioners, level of intelligence using Raven's Progressive Matrices, the presence of hyperactivity according to the method of V.R. Kuchma, mental performance according to V.Ya. Anfimov, screening diagnostics of autism spectrum disorders were studied. Results. Assessment of the neurological status showed an increase in tendon reflexes in 10.22.2% of children, a decrease in 12.32.4%. The study of the intelligence levels in the Ravenna test showed that the average intelligence level was in 47.13.7% of the studied children, the intelligence was below the average in 52.93.7% of children. Screening diagnostics of autism spectrum disorders did not reveal abnormalities, however, 5.31.6% of children had signs of predisposition to the autism spectrum disorder (decreased adaptation to changes, nervousness and fears, verbal and non-verbal communication, level of activity and consistency of intellectual response). The indicator of the productivity of mental performance of preschool children was 5.40.5. Attention deficit was detected in 5.91.7% of children (according to the parent's questionnaire) and 8.62.0% children (according to the teachers' questionnaire). The level of anxiety was 9.60.3 points. Conclusion. The currently known screening methods for detecting autism spectrum disorders, available to the pediatric service, in our opinion, are uninformative; the search for the most sensitive markers of autism should be based on an understanding of the epigenetic mechanisms of autism spectrum disorders.
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