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Mol Autism. 2018 Nov 5;9:52. doi: 10.1186/s13229-018-0235-3. eCollection 2018.

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

Author information

1
1Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
2
2Psychology, Ben-Gurion University of the Negev, Beer Sheva, Israel.
3
3Autism Research Centre, Department of Psychiatry, University of Cambridge, Cambridge, UK.
4
4Department of Psychology, School of Philosophy, Psychology and Language Sciences, University of Edinburgh, Edinburgh, UK.
5
5Centre for Autism, School of Psychology and Clinical Language Sciences, University of Reading, Reading, UK.
6
6Chiba University, Chiba, Japan.

Abstract

Background:

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.

Methods:

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.

Results:

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.

Conclusions:

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.

KEYWORDS:

Autism; Cross-cultural comparison; Culture; Positive predictive values

PMID:
30410715
PMCID:
PMC6217788
DOI:
10.1186/s13229-018-0235-3
[Indexed for MEDLINE]
Free PMC Article

Conflict of interest statement

Parents/legal guardians provided written informed consent. Ethical approval for the original collection of data was obtained by ethics committees in India, Japan and the UK for each country’s data collection separately.Not applicable.The authors declare that they have no competing interests.Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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