<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Goldblum JE</submitter><funding>National Center for Advancing Translational Sciences</funding><funding>NICHD NIH HHS</funding><funding>NCATS NIH HHS</funding><funding>NIEHS NIH HHS</funding><funding>National Institute of Child Health and Human Development</funding><pagination>3777-3791</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC10869641</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>54(10)</volume><pubmed_abstract>&lt;h4>Purpose&lt;/h4>An official autism diagnosis is required to access timely intervention and is associated with better long-term wellbeing and mental health. Certain demographic characteristics, such as being female or a racially or ethnically minoritized youth, have been associated with significant diagnostic lag. However, it remains unclear how assigned sex, race, and ethnicity interact with each other in predicting the prevalence and age of autism diagnosis.&lt;h4>Methods&lt;/h4>To examine the interactions between assigned sex, race, and ethnicity, we used data from the National Survey of Children's Health (NSCH; 2016 > 2021).&lt;h4>Results&lt;/h4>One in 38 children had an autism diagnosis and 3.8 males were diagnosed per 1 female. Hierarchical linear regressions yielded diagnostic delays in some fem</pubmed_abstract><journal>Journal of autism and developmental disorders</journal><pubmed_title>Autism Prevalence and the Intersectionality of Assigned Sex at Birth, Race, and Ethnicity on Age of Diagnosis.</pubmed_title><pmcid>PMC10869641</pmcid><funding_grant_id>UL1TR001111</funding_grant_id><funding_grant_id>UL1 TR001111</funding_grant_id><funding_grant_id>2T32 HD040127-21</funding_grant_id><funding_grant_id>F31 ES034256</funding_grant_id><funding_grant_id>KL2 TR002490</funding_grant_id><funding_grant_id>T32 HD040127</funding_grant_id><funding_grant_id>T32 HD091058</funding_grant_id><funding_grant_id>P50 HD103573</funding_grant_id><pubmed_authors>Goldblum JE</pubmed_authors><pubmed_authors>Putnam OC</pubmed_authors><pubmed_authors>Bristol S</pubmed_authors><pubmed_authors>Harrop C</pubmed_authors><pubmed_authors>McFayden TC</pubmed_authors><pubmed_authors>Wylie A</pubmed_authors></additional><is_claimable>false</is_claimable><name>Autism Prevalence and the Intersectionality of Assigned Sex at Birth, Race, and Ethnicity on Age of Diagnosis.</name><description>&lt;h4>Purpose&lt;/h4>An official autism diagnosis is required to access timely intervention and is associated with better long-term wellbeing and mental health. Certain demographic characteristics, such as being female or a racially or ethnically minoritized youth, have been associated with significant diagnostic lag. However, it remains unclear how assigned sex, race, and ethnicity interact with each other in predicting the prevalence and age of autism diagnosis.&lt;h4>Methods&lt;/h4>To examine the interactions between assigned sex, race, and ethnicity, we used data from the National Survey of Children's Health (NSCH; 2016 > 2021).&lt;h4>Results&lt;/h4>One in 38 children had an autism diagnosis and 3.8 males were diagnosed per 1 female. Hierarchical linear regressions yielded diagnostic delays in some fem</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Oct</publication><modification>2026-06-03T23:32:40.571Z</modification><creation>2026-05-03T03:11:58.345Z</creation></dates><accession>S-EPMC10869641</accession><cross_references><pubmed>37584770</pubmed><doi>10.1007/s10803-023-06104-5</doi></cross_references></HashMap>