{"title":"后来被诊断为自闭症儿童的先前诊断和诊断年龄。","authors":"Maire C Diemer, Emily Gerstein","doi":"10.1007/s10803-024-06637-3","DOIUrl":null,"url":null,"abstract":"<p><p>Awareness of autism is rising, yet social determinants of health impact ages of diagnosis, and diagnostic load. Unequal rates of diagnoses may indicate biases in the healthcare system. This study investigates six prior diagnoses (ADHD, conduct, adjustment, anxiety, mood, and intellectual disability) assigned to children who are later diagnosed with autism. The study investigates how race, sex, and geographic factors were associated with age of diagnosis and diagnostic load. A sample of 13,850 (78.16% male and 14.43% Black, with 57.95% of children living in urban regions) children aged 2-10 who were diagnosed with autism on Missouri Medicaid between 2015 and 2019 were studied. Indicated that being White, living urban, and having more prior diagnoses were associated with older age of autism diagnosis. Using logistic regressions, being White was associated with a child being more likely diagnosed with all prior diagnoses aside from intellectual disability. Being male was related to a higher likelihood of ADHD, and lower likelihood of intellectual disability. Being White was associated with higher likelihood of most diagnoses, even in urban-only samples, potentially reflecting more access to providers and office visits. Living in rural areas was also associated with earlier diagnosis and more prior diagnoses such as ADHD and conduct, which may be due to types of providers or specialists seen. Future research should look at barriers to diagnosis and the advantages and disadvantages of a higher diagnostic load.</p>","PeriodicalId":15148,"journal":{"name":"Journal of Autism and Developmental Disorders","volume":" ","pages":""},"PeriodicalIF":3.2000,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Prior Diagnoses and Age of Diagnosis in Children Later Diagnosed with Autism.\",\"authors\":\"Maire C Diemer, Emily Gerstein\",\"doi\":\"10.1007/s10803-024-06637-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Awareness of autism is rising, yet social determinants of health impact ages of diagnosis, and diagnostic load. Unequal rates of diagnoses may indicate biases in the healthcare system. This study investigates six prior diagnoses (ADHD, conduct, adjustment, anxiety, mood, and intellectual disability) assigned to children who are later diagnosed with autism. The study investigates how race, sex, and geographic factors were associated with age of diagnosis and diagnostic load. A sample of 13,850 (78.16% male and 14.43% Black, with 57.95% of children living in urban regions) children aged 2-10 who were diagnosed with autism on Missouri Medicaid between 2015 and 2019 were studied. Indicated that being White, living urban, and having more prior diagnoses were associated with older age of autism diagnosis. Using logistic regressions, being White was associated with a child being more likely diagnosed with all prior diagnoses aside from intellectual disability. Being male was related to a higher likelihood of ADHD, and lower likelihood of intellectual disability. Being White was associated with higher likelihood of most diagnoses, even in urban-only samples, potentially reflecting more access to providers and office visits. Living in rural areas was also associated with earlier diagnosis and more prior diagnoses such as ADHD and conduct, which may be due to types of providers or specialists seen. Future research should look at barriers to diagnosis and the advantages and disadvantages of a higher diagnostic load.</p>\",\"PeriodicalId\":15148,\"journal\":{\"name\":\"Journal of Autism and Developmental Disorders\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2024-11-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Autism and Developmental Disorders\",\"FirstCategoryId\":\"102\",\"ListUrlMain\":\"https://doi.org/10.1007/s10803-024-06637-3\",\"RegionNum\":2,\"RegionCategory\":\"心理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PSYCHOLOGY, DEVELOPMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Autism and Developmental Disorders","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1007/s10803-024-06637-3","RegionNum":2,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PSYCHOLOGY, DEVELOPMENTAL","Score":null,"Total":0}
Prior Diagnoses and Age of Diagnosis in Children Later Diagnosed with Autism.
Awareness of autism is rising, yet social determinants of health impact ages of diagnosis, and diagnostic load. Unequal rates of diagnoses may indicate biases in the healthcare system. This study investigates six prior diagnoses (ADHD, conduct, adjustment, anxiety, mood, and intellectual disability) assigned to children who are later diagnosed with autism. The study investigates how race, sex, and geographic factors were associated with age of diagnosis and diagnostic load. A sample of 13,850 (78.16% male and 14.43% Black, with 57.95% of children living in urban regions) children aged 2-10 who were diagnosed with autism on Missouri Medicaid between 2015 and 2019 were studied. Indicated that being White, living urban, and having more prior diagnoses were associated with older age of autism diagnosis. Using logistic regressions, being White was associated with a child being more likely diagnosed with all prior diagnoses aside from intellectual disability. Being male was related to a higher likelihood of ADHD, and lower likelihood of intellectual disability. Being White was associated with higher likelihood of most diagnoses, even in urban-only samples, potentially reflecting more access to providers and office visits. Living in rural areas was also associated with earlier diagnosis and more prior diagnoses such as ADHD and conduct, which may be due to types of providers or specialists seen. Future research should look at barriers to diagnosis and the advantages and disadvantages of a higher diagnostic load.
期刊介绍:
The Journal of Autism and Developmental Disorders seeks to advance theoretical and applied research as well as examine and evaluate clinical diagnoses and treatments for autism and related disabilities. JADD encourages research submissions on the causes of ASDs and related disorders, including genetic, immunological, and environmental factors; diagnosis and assessment tools (e.g., for early detection as well as behavioral and communications characteristics); and prevention and treatment options. Sample topics include: Social responsiveness in young children with autism Advances in diagnosing and reporting autism Omega-3 fatty acids to treat autism symptoms Parental and child adherence to behavioral and medical treatments for autism Increasing independent task completion by students with autism spectrum disorder Does laughter differ in children with autism? Predicting ASD diagnosis and social impairment in younger siblings of children with autism The effects of psychotropic and nonpsychotropic medication with adolescents and adults with ASD Increasing independence for individuals with ASDs Group interventions to promote social skills in school-aged children with ASDs Standard diagnostic measures for ASDs Substance abuse in adults with autism Differentiating between ADHD and autism symptoms Social competence and social skills training and interventions for children with ASDs Therapeutic horseback riding and social functioning in children with autism Authors and readers of the Journal of Autism and Developmental Disorders include sch olars, researchers, professionals, policy makers, and graduate students from a broad range of cross-disciplines, including developmental, clinical child, and school psychology; pediatrics; psychiatry; education; social work and counseling; speech, communication, and physical therapy; medicine and neuroscience; and public health.