Journal
ADVANCES IN AUTISM
Volume 7, Issue 3, Pages 208-224Publisher
EMERALD GROUP PUBLISHING LTD
DOI: 10.1108/AIA-01-2020-0007
Keywords
Gender differences; Anxiety; Autism; Prevalence; Depression
Categories
Funding
- MRC [MR/S020381/1] Funding Source: UKRI
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The study found that anxiety and depression are more common among autistic individuals, with autistic women and non-binary individuals showing higher rates of mental health issues than men. Additionally, autistic individuals are more likely to have eating disorders compared to non-autistic individuals.
Purpose Mental health conditions are known to be more common amongst autistic than non-autistic people. To date, there is little work exploring gender differences in mental health amongst autistic people and no work including non-binary/trans people. This paper aims to address this gap. Design/methodology/approach This was a large-scale online study, with 948 participants between 18 and 81 years old. Participants self-reported autism, anxiety, depression and eating disorder status. Analyses were run examining gender differences in the rates of these conditions in each group. Findings Autistic people are more likely to have anxiety and depression than non-autistic people of all genders. Autistic women and non-binary people experienced mental health issues at higher rates than men and at similar rates to each other. Autistic people were twice as likely as non-autistic people to have all eating disorders. Further, gendered patterns of eating disorders seen in the non-autistic population are also present in the autistic population. Research limitations/implications There are inherent issues with self-report of diagnoses online, but this study showed that using screening questionnaires is effective. Originality/value This is the first paper to look at gender differences in common mental health issues amongst autistic and non-autistic adults. It highlights that there are significant gendered patterns in the prevalence of mental health issues in both the autistic and non-autistic population and that these have an impact for how treatment should be approached to be effective.
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