Autism, thy name is man: Exploring implicit and explicit gender bias in autism perceptions

Author:

Brickhill RaeORCID,Atherton GrayORCID,Piovesan AndreaORCID,Cross Liam

Abstract

Males are around three times more likely to possess an autism diagnosis than females. For years this was explained by accounts that considered the male gender more compatible with the autistic phenotype. However, new research suggests that a lack of understanding and recognition of the female autistic phenotype, and a predisposition to associate males with autistic traits, could lead to structural inequalities that hinder the identification of autistic females. To explore how autism and gender are more widely perceived, the present study tested implicit and explicit associations between autism and binary gender using the Implicit Association Test (IAT) and the Autism Quotient (AQ) presented alongside a male or female vignette. A significant association was found on the IAT, identifying an implicit bias towards males and autistic traits. The vignette AQ pairing also revealed some specific items perceived as explicitly male traits, while only reverse-scored items were perceived as female. These findings suggest that current perceptions and even metrics of autism are skewed towards males, which may hinder the identification and understanding of the female autistic phenotype.

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference85 articles.

1. Autistic disturbances of affective contact;L. Kanner;Nervous Child,1943

2. Measuring autistic traits in the general population: A systematic review of the Autism-Spectrum Quotient [AQ] in a non-clinical population sample of 6,900 typical adult males and females;E. Ruzich;Molecular Autism,2015

3. A short review on the current understanding of autism spectrum disorders;H. R. Park;Experimental neurobiology,2016

4. What is the male-to-female ratio in autism spectrum disorder? A systematic review and meta-analysis;R. Loomes;Journal of the American Academy of Child & Adolescent Psychiatry,2017

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3