Sex differences in the age of autism diagnosis during childhood have been documented consistently but remain poorly understood. In this study, we used electronic health records data from a diverse, academic medical center to quantify differences in the age of autism diagnosis between boys and girls and identify associations between the age of diagnosis and co-occurring neurodevelopmental, psychiatric, and medical conditions. An established computable phenotype was used to identify all autism diagnoses within the Duke University Health System between 2014 and 2021. Co-occurring neurodevelopmental and psychiatric diagnoses as well as visits to specific medical and supportive services were identified in the 2 years prior to the autism diagnosis. Cox proportional hazards models were fitted to quantify associations between diagnosis age and sex with and without controlling for the presence of each co-occurring diagnosis and visit type. Records from 1438 individuals (1142 boys and 296 girls) were included. Girls were more likely to be diagnosed either before age 3 ( = 497.720, p < 0.001) or after age 11 ( = 4.014, p = 0.047), whereas boys were more likely to be diagnosed between ages 3 and 11 ( = 5.532, p = 0.019). Visits for anxiety ( = 4.200, p = 0.040) and mood disorders ( = 7.033, p = 0.008) were more common in girls and associated with later autism diagnosis (HR = 0.615, p < 0.001; and HR = 0.493, p < 0.001). Visits for otolaryngology were more common in boys and associated with an earlier autism diagnosis (HR = 1.691, p < 0.001). After controlling for these conditions, associations between sex and diagnosis age were reduced and not statistically significant. These results show that the age of autism diagnosis differs in girls compared to boys, but these differences were neutralized when controlling for co-occurring neurodevelopmental and psychiatric conditions prior to autism diagnosis. Understanding sex differences and the possible mediating role of other diagnoses may suggest targets for intervention to promote earlier and more equitable diagnosis.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10872618 | PMC |
http://dx.doi.org/10.1002/aur.3043 | DOI Listing |
Autistic individuals have described facing unfair or discriminatory treatment across settings, such as in school and at work. However, there have been few studies examining how widespread or prevalent discrimination is against autistic individuals. We aimed to fill that gap by examining how prevalent or common it is for autistic youth to experience discrimination based on race or ethnicity, sexual orientation or gender identity, and health condition or disability.
View Article and Find Full Text PDFSoft Matter
January 2025
School of Environmental, Civil, Agricultural and Mechanical Engineering, College of Engineering, University of Georgia, Athens, GA 30602, USA.
The surface morphology of the developing mammalian brain is crucial for understanding brain function and dysfunction. Computational modeling offers valuable insights into the underlying mechanisms for early brain folding. Recent findings indicate significant regional variations in brain tissue growth, while the role of these variations in cortical development remains unclear.
View Article and Find Full Text PDFBMC Pediatr
January 2025
Department of Developmental and Behavioral Pediatrics, Children's Medical Center, The First Hospital of Jilin University, Changchun, China.
Background: Most previous studies have focused on the clinical efficacy after intervention of ESDM, particularly in core symptoms. However, only a few have paid attention to the effectiveness of ESDM on emotional dysregulation and behavior problems in children with ASD. This study aimed to explore the effect of the ESDM on addressing emotional dysregulation and behavior problems in children with ASD in China, as well as its correlation with core symptoms of ASD.
View Article and Find Full Text PDFJ Autism Dev Disord
January 2025
Department of Pediatrics, Madigan Army Medical Center, Tacoma, WA, USA.
There have been disparities reported in prevalence of autism by gender, race, and socioeconomic status with older ages of diagnosis in non-White and in female children. Possible disparities in the ages of autism diagnosis are not well-established within the Military Health System (MHS) pediatric population, where we hypothesized less disparities given universal Tricare coverage for active-duty military families and theoretically equal access to the military treatment facility (MTF). We conducted retrospective cross-sectional analysis using deidentified database repository records from the MHS.
View Article and Find Full Text PDFJ Dev Behav Pediatr
October 2024
College of Nursing, University of Kentucky, Lexington, KY.
Objective: (1) Evaluate differences in demographic distributions between those with autism alone and those with autism concomitant with anxiety and (2) assess demographic factors associated with receipt of psychological therapy in patients with autism.
Methods: Using deidentified health care claims data, we extracted all encounters among children with the International Classification of Diseases-10-CM for Autism Spectrum Disorder (F84) and flagged those with concomitant anxiety (F41.9).
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!