期刊论文详细信息
PSYCHIATRY RESEARCH 卷:282
Assessing autism in females: The importance of a sex-specific comparison
Article
Lundstrom, Sebastian1,2  Marland, Caroline2,3  Kuja-Halkola, Ralf4  Anckarsater, Henrik2  Lichtenstein, Paul4  Gillberg, Christopher1,3  Nilsson, Thomas2 
[1] Univ Gothenburg, Sahlgrenska Acad, Gillberg Neuropsychiat Ctr, Inst Neurosci & Physiol, Gothenburg, Sweden
[2] Univ Gothenburg, Sahlgrenska Acad, Ctr Eth Law & Mental Hlth CELAM, Inst Neurosci & Physiol, Gothenburg, Sweden
[3] Sahlgrens Univ Hosp, Gothenburg, Sweden
[4] Karolinska Inst, Dept Med Epidemiol & Biostat, Stockholm, Sweden
关键词: Autism spectrum disorder;    A-TAC;    Sex;    Attention-deficit/hyperactivity disorder;    Population;    Twins;   
DOI  :  10.1016/j.psychres.2019.112566
来源: Elsevier
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【 摘 要 】

Autism spectrum disorder (ASD) is diagnosed more often in boys than girls. Here, we compared the degree of autism - and related disorders - symptomatology in boys and girls with a registered diagnosis of ASD. We used parent telephone interview A-TAC (Autism-Tics, ADHD and other Comorbidities) ratings of 30,392 twins aged 9 or 12 (including 308 boys and 122 girls with National Patient Register diagnoses of ASD) participating in the Child and Adolescent Twin Study in Sweden. We used z-scores for ASD-symptoms, standardized separately for boys and girls. Boys with a diagnosis of ASD had a higher raw mean score than girls with a diagnosis on the A-TAC ASD domain. However, utilizing the z-scores, girls with a diagnosis of ASD deviated further away from the female population mean than did the boys with ASD from the male population mean. Girls also had higher standardized mean values for symptoms of Attention-Deficit/Hyperactivity Disorder, Learning Disabilities and Oppositional Defiant Disorder. The findings suggest that girls diagnosed with autism may represent an even more extreme end of the female population autistic features distribution, than diagnosed boys from the male population autistic features distribution. Future studies may benefit from examining the use of sex-specific cutoff scores.

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