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Sex differences in scores on standardized measures of autism symptoms: a multisite integrative data analysis.

Aaron J KaatAmy M ShuiSheila S GhodsCristan A FarmerAmy N EslerAudrey ThurmStelios GeorgiadesStephen M KanneCatherine LordYoung Shin KimSomer L Bishop
Published in: Journal of child psychology and psychiatry, and allied disciplines (2020)
This study combined several available databases to create the largest sample of girls with ASD diagnoses. We found minimal differences due to sex beyond other known influences on ASD severity indicators. This may suggest that, among children who ultimately receive a clinical ASD diagnosis, severity estimates do not systematically differ to such an extent that sex-specific scoring procedures would be necessary. However, given the limitations inherent in clinically ascertained samples, future research must address questions about systematic sex differences among children or adults who do not receive clinical diagnoses of ASD. Moreover, while the current study helps resolve questions about widely used diagnostic instruments, we could not address sex differences in phenotypic aspects outside of these scores.
Keyphrases
  • autism spectrum disorder
  • intellectual disability
  • data analysis
  • attention deficit hyperactivity disorder
  • young adults
  • machine learning
  • physical activity
  • current status
  • network analysis