Autism Spectrum Disorder and Gender Dysphoria/Incongruence. A systematic Literature Review and Meta-Analysis.
Aimilia Kallitsounaki, David M Williams
PMID 35596023WHAT IT FOUND
In studies of people with gender dysphoria or incongruence, autism diagnoses were common, and autism traits were higher than in controls.
The overlap varied widely, so it should prompt careful assessment, not a blanket diagnosis.
Key findings
01The pooled prevalence estimate of ASD diagnoses in GD/GI individuals was 0.11, with a 95% confidence interval of 0.08 to 0.16.
02GD/GI individuals reported more ASD traits than nonclinical or population-based controls, with a weighted standardized mean difference of g = 0.67 and a 95% confidence interval of 0.37 to 0.96.
03The prevalence estimate varied by study type: it was higher in gender incongruent participants than in participants with GD/GID diagnoses, and higher in population-based studies than in clinical-based studies.
STILL TO COME
How it was doneWhat they found
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What it does not show
The studies used different ways to identify ASD, including screening questionnaires, patient records and self-report, and they used different cutoff scores. The rates are not directly comparable. Most ASD diagnosis information came from records or self-report rather than standardized diagnostic assessment. In the only study using a diagnostic tool, only 12.7% of the gender-referred sample received that assessment. Both meta-analyses had very high heterogeneity. The prediction intervals were wide, so the overlap could be much smaller or larger in some groups or settings. The prevalence estimate was higher in population-based and gender-incongruent samples than in clinical and diagnosed samples. Part of this may come from self-reported diagnoses in population samples. The review cannot show whether ASD leads to gender dysphoria or incongruence, or the reverse. It reports co-occurrence. Some subgroup analyses were underpowered. A lack of significant moderators does not prove that age or control-group source is irrelevant. Gender-related self-report measures suggested for clinical use have not been validated in autistic people. For ASD diagnoses, smaller studies raised the pooled estimate. Limiting to the 10 largest studies still gave 0.08.
Declared interests
The supplied funding and conflicts section states: Funder named: University of Kent PhD scholarship.
The easy way to misread this
Do not assume that every patient with gender dysphoria or incongruence has autism, or that the pooled prevalence applies unchanged to your clinic. The studies varied widely in samples, measures and diagnostic sources, and the prediction intervals were very wide, so the size of the overlap is uncertain.