A cross-cultural study of autistic traits across India, Japan and the UK.

A cross-cultural study of autistic traits across India, Japan and the UK.
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DOI:
10.1186/s13229-018-0235-3
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发表时间:
2018
期刊:
影响因子:
6.2
通讯作者:
Hoekstra RA
Hoekstra RA
中科院分区:
医学1区
文献类型:
--
作者:
Carruthers S;Kinnaird E;Rudra A;Smith P;Allison C;Auyeung B;Chakrabarti B;Wakabayashi A;Baron-Cohen S;Bakolis I;Hoekstra RA

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全球需要一种能够识别自闭症关键指标的简短筛查工具,以支持一线专业人员做出转诊决策。虽然是一套普遍的条件,但在不同文化中,自闭症特征的表达、识别和报告可能存在微妙的差异。为了评估跨文化筛查使用任何措施的潜力,重要的是要了解这些措施在不同文化中的相对表现。我们的研究旨在确定自闭症谱系商数(AQ)-儿童中最能预测来自印度,日本和英国的4-9岁儿童自闭症诊断的项目。我们分析了来自印度(73名自闭症儿童和81名神经典型儿童)、日本(116名自闭症儿童和190名神经典型儿童)和英国(488名自闭症儿童和532名神经典型儿童)的家长报告的AQ-Child数据。这些儿童中没有一个报告有智力残疾的诊断。鉴别指数(DI)和阳性预测值(PPV)用于确定每个国家最具预测性的项目。印度样本中的16个项目,日本样本中的15个项目和英国样本中的28个项目表现出出色的区分能力(DI ≥ 0.5和PPV ≥ 0.7),这表明这些项目代表了这些国家内预测自闭症诊断的最强指标。在不同的文化中,表现良好的项目在很大程度上是重叠的,五个关键指标项目出现在所有三个国家(可以轻松地跟踪几个不同的人的谈话,喜欢社交聊天,知道如何判断别人听他/她是否感到无聊,善于社交聊天,发现很难了解人们的意图)。四个项目表明潜在的文化差异。其中一个项目在日本具有高度的区分性,但在英国和印度的区分性较差(DI < 0.3),另一个项目在英国具有良好的区分特性,但在印度和日本样本中的区分性较差。另外两个项目在两种文化中具有高度歧视性,但在第三种文化中却很差。最能预测自闭症诊断的项目的跨文化重叠支持了自闭症特征普遍性的一般概念,同时也强调了与某些自闭症特征相关的文化差异。这些发现有可能为开发一种简短的自闭症全球筛查工具提供信息。需要进一步开展发展和评价工作。本文的在线版本(10.1186/s13229-018-0235-3)包含补充材料,可供授权用户使用。
There is a global need for brief screening instruments that can identify key indicators for autism to support frontline professionals in their referral decision-making. Although a universal set of conditions, there may be subtle differences in expression, identification and reporting of autistic traits across cultures. In order to assess the potential for any measure for cross-cultural screening use, it is important to understand the relative performance of such measures in different cultures. Our study aimed to identify the items on the Autism Spectrum Quotient (AQ)-Child that are most predictive of an autism diagnosis among children aged 4–9 years across samples from India, Japan and the UK. We analysed parent-reported AQ-Child data from India (73 children with an autism diagnosis and 81 neurotypical children), Japan (116 children with autism and 190 neurotypical children) and the UK (488 children with autism and 532 neurotypical children). None of the children had a reported existing diagnosis of intellectual disability. Discrimination indices (DI) and positive predictive values (PPV) were used to identify the most predictive items in each country. Sixteen items in the Indian sample, 15 items in the Japanese sample and 28 items in the UK sample demonstrated excellent discriminatory power (DI ≥ 0.5 and PPV ≥ 0.7), suggesting these items represent the strongest indicators for predicting an autism diagnosis within these countries. Across cultures, good performing items were largely overlapping, with five key indicator items appearing across all three countries (can easily keep track of several different people’s conversations, enjoys social chit-chat, knows how to tell if someone listening to him/her is getting bored, good at social chit-chat, finds it difficult to work out people’s intentions). Four items indicated potential cultural differences. One item was highly discriminative in Japan but poorly discriminative (DI < 0.3) in the UK and India, and a further item had excellent discrimination properties in the UK but poorly discriminated in the Indian and Japanese samples. Two additional items were highly discriminative in two cultures but poor in the third. Cross-cultural overlap in the items most predictive of an autism diagnosis supports the general notion of universality in autistic traits whilst also highlighting that there can be cultural differences associated with certain autistic traits. These findings have the potential to inform the development of a brief global screening tool for autism. Further development and evaluation work is needed. The online version of this article (10.1186/s13229-018-0235-3) contains supplementary material, which is available to authorized users.
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