Abstract
Introduction: Gendered differences in autism spectrum disorder (hereafter, ‘autism’) symptomatology, may contribute to delayed diagnoses for autistic females. The aim of this study was to develop a coding system, the Gendered Autism Behavioral Scale (GABS), to identify and measure hypothesized components of non-traditional autism phenotypes. Methods: Two independent cohorts of autistic individuals completed modules 3 and 4 of the Autism Diagnostic Observation Schedule (ADOS, 2nd edition). Video-recorded ADOS administrations were coded using the GABS, and separate coding teams analyzed each cohort. Cohort 1 from the United Kingdom consisted of 22 males and 22 females, aged 9–15 years. Cohort 2 from the United States consisted of 40 males and 20 females, aged 4–59 years. Results: The coders achieved acceptable inter-rater reliability both within and across coding teams. In exploratory analyses, gender differences between codes were assessed within cohorts. Within Cohort 1, there were significant gender differences, of a moderate size, on several individual items as well as the Managing Emotions subscale and the Total GABS score. Within Cohort 2, significant gender differences were found for two individual items. Conclusions: This study demonstrated the feasibility of the GABS across different sites. Validity tests resulted in partial replication of gender differences on the GABS. Preliminary evidence from the GABS suggests that valuable data on hypothesized non-traditional autism phenotypes could be extracted from widely employed assessments such as the ADOS. Future work could capitalize on the GABS’ utility for secondary data analysis to study gender differences in ASD in larger, adequately powered samples.
Original language | English |
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Article number | 101844 |
Journal | Research in Autism Spectrum Disorders |
Volume | 88 |
Early online date | 25 Aug 2021 |
DOIs | |
Publication status | Published - Oct 2021 |
Bibliographical note
Funding Information:This work was supported in part by the Simons Foundation Autism Research Initiative (grant #’s 286756 and 454555 ), the Robert J. and Nancy D. Carney Institute for Brain Sciences at Brown University, the Norman Prince Neurosciences Institute at Lifespan, and the Hassenfeld Child Health Innovation Institute at Brown University. Part of this work was conducted by RL when she was funded by Health Education England .
Funding Information:
The authors would like to thank Hannah Lee for her hard work coding the GABS. This work was supported in part by the Simons Foundation Autism Research Initiative (grant #?s 286756 and 454555), the Robert J. and Nancy D. Carney Institute for Brain Sciences at Brown University, the Norman Prince Neurosciences Institute at Lifespan, and the Hassenfeld Child Health Innovation Institute at Brown University. Part of this work was conducted by RL when she was funded by Health Education England.
Publisher Copyright:
© 2021 Elsevier Ltd
Keywords
- ADOS
- Autism spectrum disorder
- Diagnosis
- Gender
- Sex