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自闭症谱系商数是否由两个不同的亚组组成?普通人群中自闭症谱系商数的聚类分析。

Whether the Autism Spectrum Quotient consists of two different subgroups? Cluster analysis of the Autism Spectrum Quotient in general population.

作者信息

Kitazoe Noriko, Fujita Naofumi, Izumoto Yuji, Terada Shin-Ichi, Hatakenaka Yuhei

机构信息

1 Kochi University, Japan.

2 Kochi Gillberg Neuropsychiatry Centre, Japan.

出版信息

Autism. 2017 Apr;21(3):323-332. doi: 10.1177/1362361316638787. Epub 2016 Jul 9.

DOI:10.1177/1362361316638787
PMID:27132011
Abstract

The purpose of this study was to investigate whether the individuals in the general population with high scores on the Autism Spectrum Quotient constituted a single homogeneous group or not. A cohort of university students (n = 4901) was investigated by cluster analysis based on the original five subscales of the Autism Spectrum Quotient. Based on the results of the analysis, the students could be divided into six clusters: the first with low scores on all the five subscales, the second with high scores on only the 'attention to detail' subscale, the third and fourth with intermediate scores on all the subscales, the fifth with high scores on four of the five subscales but low scores on the 'attention to detail' subscale and the sixth with high scores on all the five subscales. The students with high total Autism Spectrum Quotient scores (n = 166) were divided into two groups: one with high scores on four subscales but low scores on the 'attention to detail' subscale and the other with high scores on all the five subscales. The results of this study suggested that individuals from the general population with high Autism Spectrum Quotient scores may consist of two qualitatively different groups.

摘要

本研究的目的是调查在自闭症谱系商数测试中得分较高的普通人群个体是否构成一个单一的同质群体。基于自闭症谱系商数最初的五个分量表,通过聚类分析对一组大学生(n = 4901)进行了调查。根据分析结果,这些学生可分为六类:第一类在所有五个分量表上得分都低;第二类仅在“注重细节”分量表上得分高;第三类和第四类在所有分量表上得分中等;第五类在五个分量表中的四个上得分高,但在“注重细节”分量表上得分低;第六类在所有五个分量表上得分都高。自闭症谱系商数总分较高的学生(n = 166)被分为两组:一组在四个分量表上得分高,但在“注重细节”分量表上得分低;另一组在所有五个分量表上得分都高。本研究结果表明,普通人群中自闭症谱系商数得分高的个体可能由两个质的不同的群体组成。

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