Childhood Gender Variance and the Autism Spectrum: Evidence of an Association Using a Child Behavior Checklist 10-Item Autism Screener

Autor: Munoz Murakami, Lucia Youka, van der Miesen, Anna I. R., Nabbijohn, A. Natisha, VanderLaan, Doug P.
Přispěvatelé: VU University medical center, APH - Mental Health
Rok vydání: 2022
Předmět:
Zdroj: Munoz Murakami, L Y, van der Miesen, A I R, Nabbijohn, A N & VanderLaan, D P 2022, ' Childhood Gender Variance and the Autism Spectrum : Evidence of an Association Using a Child Behavior Checklist 10-Item Autism Screener ', Journal of Sex and Marital Therapy, vol. 48, no. 7, pp. 645-651 . https://doi.org/10.1080/0092623X.2022.2035870
Journal of Sex and Marital Therapy, 48(7), 645-651. Routledge
ISSN: 1521-0715
0092-623X
DOI: 10.1080/0092623x.2022.2035870
Popis: Childhood gender variance (GV) is associated with autism spectrum disorder (ASD) diagnosis/traits; however, this association has mainly been investigated in clinical samples. An ASD screening measure based on 10 items from the commonly used Child Behavior Checklist (CBCL) might enable investigation of this association in a wider variety of (non-clinical) populations where the CBCL and a measure of GV are available. We investigated whether GV in 6- to 12-year-olds (N = 1719; 48.8% assigned male at birth) from a community sample showed an association with the CBCL 10-item ASD screener. The Gender Identity Questionnaire for Children measured GV. The CBCL 10-item ASD screener measured ASD traits. The remaining CBCL items provided a measure of children’s general emotional and behavioral challenges. Higher GV was associated with higher CBCL ASD screener scores, including when controlling for the remaining CBCL items. The CBCL 10-item ASD screener can be useful for investigating the link between GV and ASD traits in 6- to 12-year-olds. Given that the CBCL is commonly employed, secondary analyses of existing datasets that also included a measure of GV could enable investigation of how widely the association between GV and ASD applies across a variety of populations.
Databáze: OpenAIRE
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