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Ethological Approach to Autism Spectrum Disorders:

机译:自闭症谱系障碍的伦理学研究方法:

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The purpose of the study was to develop a new ethogram for the assessment of children and adolescents with autism spectrum disorders (ASD) and intellectual developmental disorder (IDD) and to test whether this instrument accurately distinguishes ASD participants (n = 61) from IDD participants (n = 61). An ethogram with 88 behavior elements was generated, including body postures, verbalizations, facial expressions, motor stereotypies, head postures, gaze behavior, gestures, and interpersonal distance. Significant differences were detected between both groups in classic ASD behaviors; in behaviors that are deficient in ASD according to established theoretical models, such as symbolic play, gaze direction, gaze following, and use of mental state language; in atypical behaviors that have also been described previously in ethological studies with ASD; and in the nonspecific behaviors of ASD, such as walk, look own body, explore, and cry. The predictive success of a diagnosis of ASD in the logistic regression model with the ethogram's factors was 98.4%. The results suggest that this ethogram is a powerful and useful tool for both the detailed study of the social behaviors of autistic children and adolescents, and for discriminating ASD and IDD.
机译:这项研究的目的是开发一种新的人口统计图,以评估患有自闭症谱系障碍(ASD)和智力发育障碍(IDD)的儿童和青少年,并测试该仪器是否能准确地区分ASD参与者(n = 61) (n = 61)。生成具有88个行为元素的人种图,包括身体姿势,言语,面部表情,运动刻板印象,头部姿势,凝视行为,手势和人际距离。两组之间在经典ASD行为上均发现了显着差异。根据既定的理论模型进行的ASD行为不足,例如符号游戏,注视方向,注视跟随和心理状态语言的使用;非典型行为,以前在ASD的行为学研究中也有描述;以及ASD的非特定行为,例如走路,看自己的身体,探索和哭泣。在具有人口统计学因素的逻辑回归模型中,ASD诊断的预测成功率为98.4%。结果表明,该表是对自闭症儿童和青少年的社会行为进行详细研究以及区分ASD和IDD的有力工具。

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