B3212 - Gendered play in children with autism and their non-autistic peers - 20/11/2018

B number: 
B3212
Principal applicant name: 
Hein Heuvelman | University of Bristol (UK)
Co-applicants: 
Dheeraj Rai
Title of project: 
Gendered play in children with autism and their non-autistic peers
Proposal summary: 

Research suggests that children who are exposed to high levels of testosterone in the womb may be more likely to develop autistic traits. Since testosterone also plays a role in sexual differentiation as a male sex hormone, it is though that such exposure may also result in these children having more masculine characteristics irrespective of whether they are biologically male or female. On the basis of this evidence, one might therefore expect that boys with autism would be more masculine than typically developing boys, whilst girls with autism would be less feminine: a prediction that has been referred to in the literature as the "extreme male brain" (EMB) theory of autism.

Despite the biological plausibility of EMB, the theory has found only partial support in research to date. Whilst there are studies which suggest that females with autism may be more masculine in certain respects than non-autistic females (consistent with EMB), other evidence suggests a pattern of gender identity defiance (GID), where autistic females are more masculine and autistic males more feminine than non-autistic controls (inconsistent with EMB).

Our study therefore aims to test these two competing models of gender identity in autism - EMB versus GID - by examining the gendered play behaviours of children with autism and that of their non-autistic peers on various occasions throughout childhood.

Impact of research: 
This work will make an important contribution by formally testing two competing hypotheses on gender identity in autism using high-quality population-based data.
Date proposal received: 
Tuesday, 20 November, 2018
Date proposal approved: 
Tuesday, 20 November, 2018
Keywords: 
Mental health - Psychology, Psychiatry, Cognition, Developmental disorders - autism, Statistical methods, Development