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Journal of Autism and Developmental Disorders

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04-01-2021 | Original Paper

Sex Differences in Co-occurring Conditions Among Autistic Children and Youth in Florida: A Retrospective Cohort Study (2012–2019)

Auteurs: Amber M. Angell, Alexis Deavenport-Saman, Larry Yin, Baiming Zou, Chen Bai, Deepthi Varma, Olga Solomon

Gepubliceerd in: Journal of Autism and Developmental Disorders | Uitgave 10/2021

Abstract

Autistic children have a high prevalence of co-occurring mental health, developmental/behavioral, and medical conditions, but research on sex/gender differences has been mixed. We used Florida healthcare claims data to characterize sex differences (female/male) in co-occurring conditions among autistic children ages 1–21 (N = 83,500). After adjusting for age, race, ethnicity, urbanicity, and insurance, autistic girls had significantly higher odds of anxiety disorders, mood disorders, intellectual disability, developmental disorders, epilepsy, metabolic disorders, gastrointestinal disorders, and sleep disorders compared to autistic boys. Autistic girls had significantly lower odds of ADHD. The findings contribute to the growing body of research on the unique healthcare needs of autistic girls.

vorige artikel Acquisition and Use of ‘Priors’ in Autism: Typical in Deciding Where to Look, Atypical in Deciding What Is There

volgende artikel Brief Report: Impact of COVID-19 on Individuals with ASD and Their Caregivers: A Perspective from the SPARK Cohort

We use identity-first language because it is the preference of many in the autism community (Dunn and Andrews 2015; Gernsbacher 2017; Kenny et al. 2015).

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Titel: Sex Differences in Co-occurring Conditions Among Autistic Children and Youth in Florida: A Retrospective Cohort Study (2012–2019)
Auteurs: Amber M. Angell
Alexis Deavenport-Saman
Larry Yin
Baiming Zou
Chen Bai
Deepthi Varma
Olga Solomon
Publicatiedatum: 04-01-2021
Uitgeverij: Springer US
Gepubliceerd in: Journal of Autism and Developmental Disorders / Uitgave 10/2021
Print ISSN: 0162-3257
Elektronisch ISSN: 1573-3432
DOI: https://doi.org/10.1007/s10803-020-04841-5

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