Prevalence and Characteristics of Autism Spectrum Disorder Among Children Aged 8 Years - Autism and Developmental Disabilities Monitoring Network, 11 Sites, United States, 2018

Matthew J Maenner, Kelly A Shaw, Amanda V Bakian, Deborah A Bilder, Maureen S Durkin, Amy Esler, Sarah M Furnier, Libby Hallas, Jennifer Hall-Lande, Allison Hudson, Michelle M Hughes, Mary Patrick, Karen Pierce, Jenny N Poynter, Angelica Salinas, Josephine Shenouda, Alison Vehorn, Zachary Warren, John N Constantino, Monica DiRienzo, Robert T Fitzgerald, Andrea Grzybowski, Margaret H Spivey, Sydney Pettygrove, Walter Zahorodny, Akilah Ali, Jennifer G Andrews, Thaer Baroud, Johanna Gutierrez, Amy Hewitt, Li-Ching Lee, Maya Lopez, Kristen Clancy Mancilla, Dedria McArthur, Yvette D Schwenk, Anita Washington, Susan Williams, Mary E Cogswell, Matthew J Maenner, Kelly A Shaw, Amanda V Bakian, Deborah A Bilder, Maureen S Durkin, Amy Esler, Sarah M Furnier, Libby Hallas, Jennifer Hall-Lande, Allison Hudson, Michelle M Hughes, Mary Patrick, Karen Pierce, Jenny N Poynter, Angelica Salinas, Josephine Shenouda, Alison Vehorn, Zachary Warren, John N Constantino, Monica DiRienzo, Robert T Fitzgerald, Andrea Grzybowski, Margaret H Spivey, Sydney Pettygrove, Walter Zahorodny, Akilah Ali, Jennifer G Andrews, Thaer Baroud, Johanna Gutierrez, Amy Hewitt, Li-Ching Lee, Maya Lopez, Kristen Clancy Mancilla, Dedria McArthur, Yvette D Schwenk, Anita Washington, Susan Williams, Mary E Cogswell

Abstract

Problem/condition: Autism spectrum disorder (ASD).

Period covered: 2018.

Description of system: The Autism and Developmental Disabilities Monitoring (ADDM) Network conducts active surveillance of ASD. This report focuses on the prevalence and characteristics of ASD among children aged 8 years in 2018 whose parents or guardians lived in 11 ADDM Network sites in the United States (Arizona, Arkansas, California, Georgia, Maryland, Minnesota, Missouri, New Jersey, Tennessee, Utah, and Wisconsin). To ascertain ASD among children aged 8 years, ADDM Network staff review and abstract developmental evaluations and records from community medical and educational service providers. In 2018, children met the case definition if their records documented 1) an ASD diagnostic statement in an evaluation (diagnosis), 2) a special education classification of ASD (eligibility), or 3) an ASD International Classification of Diseases (ICD) code.

Results: For 2018, across all 11 ADDM sites, ASD prevalence per 1,000 children aged 8 years ranged from 16.5 in Missouri to 38.9 in California. The overall ASD prevalence was 23.0 per 1,000 (one in 44) children aged 8 years, and ASD was 4.2 times as prevalent among boys as among girls. Overall ASD prevalence was similar across racial and ethnic groups, except American Indian/Alaska Native children had higher ASD prevalence than non-Hispanic White (White) children (29.0 versus 21.2 per 1,000 children aged 8 years). At multiple sites, Hispanic children had lower ASD prevalence than White children (Arizona, Arkansas, Georgia, and Utah), and non-Hispanic Black (Black) children (Georgia and Minnesota). The associations between ASD prevalence and neighborhood-level median household income varied by site. Among the 5,058 children who met the ASD case definition, 75.8% had a diagnostic statement of ASD in an evaluation, 18.8% had an ASD special education classification or eligibility and no ASD diagnostic statement, and 5.4% had an ASD ICD code only. ASD prevalence per 1,000 children aged 8 years that was based exclusively on documented ASD diagnostic statements was 17.4 overall (range: 11.2 in Maryland to 29.9 in California). The median age of earliest known ASD diagnosis ranged from 36 months in California to 63 months in Minnesota. Among the 3,007 children with ASD and data on cognitive ability, 35.2% were classified as having an intelligence quotient (IQ) score ≤70. The percentages of children with ASD with IQ scores ≤70 were 49.8%, 33.1%, and 29.7% among Black, Hispanic, and White children, respectively. Overall, children with ASD and IQ scores ≤70 had earlier median ages of ASD diagnosis than children with ASD and IQ scores >70 (44 versus 53 months).

Interpretation: In 2018, one in 44 children aged 8 years was estimated to have ASD, and prevalence and median age of identification varied widely across sites. Whereas overall ASD prevalence was similar by race and ethnicity, at certain sites Hispanic children were less likely to be identified as having ASD than White or Black children. The higher proportion of Black children compared with White and Hispanic children classified as having intellectual disability was consistent with previous findings.

Public health action: The variability in ASD prevalence and community ASD identification practices among children with different racial, ethnic, and geographical characteristics highlights the importance of research into the causes of that variability and strategies to provide equitable access to developmental evaluations and services. These findings also underscore the need for enhanced infrastructure for diagnostic, treatment, and support services to meet the needs of all children.

Conflict of interest statement

All authors have completed and submitted the International Committee of Medical Journal Editors form for disclosure of potential conflicts of interest. No potential conflicts of interest were disclosed.

Figures

FIGURE 1
FIGURE 1
Prevalence* of autism spectrum disorder per 1,000 children aged 8 years, by median household income tertile and site† — Autism and Developmental Disabilities Monitoring Network, 11 sites, United States, 2018 * Dots are the point estimates and horizontal lines are the 95% confidence intervals. † Cochran Armitage test of trend results for association between socioeconomic status tertile and ASD prevalence, by site and overall: Arizona (p<0.001), Arkansas (p = 0.17), California (p = 0.03), Georgia (p = 0.01), Maryland (p = 0.21), Minnesota (p = 0.01), Missouri (p = 0.21), New Jersey (p = 0.15), Tennessee (p = 0.02), Utah (p<0.001), and Wisconsin (p = 0.27); all sites (p<0.001).
FIGURE 2
FIGURE 2
Euler diagram of different types of autism spectrum disorder identification among children aged 8 years with autism spectrum disorder* — Autism and Developmental Disabilities Monitoring Network, 11 sites, United States, 2018 Abbreviations: ASD = autism spectrum disorder; ICD = International Classification of Diseases. * N = 5,058.
FIGURE 3
FIGURE 3
Prevalence* of autism spectrum disorder per 1,000 children aged 8 years, by identification type and site — Autism and Developmental Disabilities Monitoring Network, 11 sites, United States, 2018 Abbreviations: ASD = autism spectrum disorder; ICD = International Classification of Diseases. * Horizontal line is the overall Autism and Developmental Disabilities Monitoring Network prevalence of 23.0 per 1,000 children aged 8 years. Children with documented ASD statements could also have ASD classifications in special education or ASD ICD codes.

References

    1. American Psychiatric Association. Diagnostic and statistical manual of mental disorders. 5th ed. Arlington, VA: American Psychiatric Association; 2013.
    1. Yeargin-Allsopp M, Rice C, Karapurkar T, Doernberg N, Boyle C, Murphy C. Prevalence of autism in a US metropolitan area. JAMA 2003;289:49–55. 10.1001/jama.289.1.49
    1. Autism and Developmental Disabilities Monitoring Network Surveillance Year 2000 Principal Investigators; CDC. Prevalence of autism spectrum disorders—Autism and Developmental Disabilities Monitoring Network, six sites, United States, 2000. MMWR Surveill Summ 2007;56(No. SS-1).
    1. Autism and Developmental Disabilities Monitoring Network Surveillance Year 2002 Principal Investigators; CDC. Prevalence of autism spectrum disorders—Autism and Developmental Disabilities Monitoring Network, 14 sites, United States, 2002. MMWR Surveill Summ 2007;56(No. SS-1).
    1. Autism and Developmental Disabilities Monitoring Network Surveillance Year 2006 Principal Investigators; CDC. Prevalence of autism spectrum disorders—Autism and Developmental Disabilities Monitoring Network, United States, 2006. MMWR Surveill Summ 2009;58(No. SS-10).
    1. Autism and Developmental Disabilities Monitoring Network Surveillance Year 2008 Principal Investigators; CDC. Prevalence of autism spectrum disorders—Autism and Developmental Disabilities Monitoring Network, 14 sites, United States, 2008. MMWR Surveill Summ 2012;61(No. SS-3).
    1. Autism and Developmental Disabilities Monitoring Network Surveillance Year 2010 Principal Investigators; CDC. Prevalence of autism spectrum disorder among children aged 8 years—Autism and Developmental Disabilities Monitoring Network, 11 sites, United States, 2010. MMWR Surveill Summ 2014;63(No. SS-2).
    1. Christensen DL, Baio J, Van Naarden Braun K, et al. Prevalence and characteristics of autism spectrum disorder among children aged 8 years—Autism and Developmental Disabilities Monitoring Network, 11 sites, United States, 2012. MMWR Surveill Summ 2016;65(No. SS-3). 10.15585/mmwr.ss6503a1
    1. Baio J, Wiggins L, Christensen DL, et al. Prevalence of autism spectrum disorder among children aged 8 years—Autism and Developmental Disabilities Monitoring Network, 11 sites, United States, 2014. MMWR Surveill Summ 2018;67(No. SS-6). 10.15585/mmwr.ss6706a1
    1. Maenner MJ, Shaw KA, Baio J, et al. Prevalence of autism spectrum disorder among children aged 8 years—Autism and Developmental Disabilities Monitoring Network, 11 sites, United States, 2016. MMWR Surveill Summ 2020;69(No. SS-4). 10.15585/mmwr.ss6904a1
    1. Public Welfare, Protection of Human Subjects. C.F.R. 45 Part 46 (2010).
    1. Maenner MJ, Graves SJ, Peacock G, Honein MA, Boyle CA, Dietz PM. Comparison of two case definitions for ascertaining prevalence of autism spectrum disorder among 8-year-old children. Am J Epidemiol 2021;190:2188–2207. 10.1093/aje/kwab106
    1. Yeargin-Allsopp M, Murphy CC, Oakley GP, Sikes RK. A multiple-source method for studying the prevalence of developmental disabilities in children: the Metropolitan Atlanta Developmental Disabilities Study. Pediatrics 1992;89:624–30.
    1. CDC. Vintage 2019 bridged-race postcensal population estimates for April 1, 2010, July 1, 2010–July 1, 2019, by year, county, single-year of age (0 to 85+ years), bridged-race, Hispanic origin, and sex. Atlanta, GA: US Department of Health and Human Services, CDC; 2020.
    1. Census Bureau. 2018 American Community Survey 5-year estimates. Washington, DC: US Department of Commerce, Census Bureau; 2021.
    1. Shaw KA, Maenner MJ, Bakian AV, et al. Early identification of autism spectrum disorder among children aged 4 years—Autism and Developmental Disabilities Monitoring Network, 11 sites, United States, 2018. MMWR Surveill Summ 2021;70(No. SS-10).
    1. Lauritsen MB, Astrup A, Pedersen CB, et al. Urbanicity and autism spectrum disorders. J Autism Dev Disord 2014;44:394–404. 10.1007/s10803-013-1875-y
    1. Kalkbrenner AE, Daniels JL, Emch M, Morrissey J, Poole C, Chen JC. Geographic access to health services and diagnosis with an autism spectrum disorder. Ann Epidemiol 2011;21:304–10. 10.1016/j.annepidem.2010.11.010
    1. Mazumdar S, Winter A, Liu KY, Bearman P. Spatial clusters of autism births and diagnoses point to contextual drivers of increased prevalence. Soc Sci Med 2013;95:87–96. 10.1016/j.socscimed.2012.11.032
    1. Pierce K, Gazestani V, Bacon E, et al. Get SET Early to identify and treatment refer autism spectrum disorder at 1 year and discover factors that influence early diagnosis. J Pediatr 2021;236:179–88. Epub ahead of print April 27, 2021.
    1. Hertz-Picciotto I, Delwiche L. The rise in autism and the role of age at diagnosis. Epidemiology 2009;20:84–90. 10.1097/EDE.0b013e3181902d15
    1. Leigh JP, Grosse SD, Cassady D, Melnikow J, Hertz-Picciotto I. Spending by California’s Department of Developmental Services for persons with autism across demographic and expenditure categories. PLoS One 2016;11:e0151970. 10.1371/journal.pone.0151970
    1. Schieve LA, Clayton HB, Durkin MS, Wingate MS, Drews-Botsch C. Comparison of perinatal risk factors associated with autism spectrum disorder (ASD), intellectual disability (ID), and co-occurring ASD and ID. J Autism Dev Disord 2015;45:2361–72. 10.1007/s10803-015-2402-0
    1. Council on Community Pediatrics. Poverty and child health in the United States. Pediatrics 2016;137:e20160339. 10.1542/peds.2016-0339
    1. Patrick ME, Shaw KA, Dietz PM, et al. Prevalence of intellectual disability among eight-year-old children from selected communities in the United States, 2014. Disabil Health J 2021;14:101023. 10.1016/j.dhjo.2020.101023
    1. Angell AM, Empey A, Zuckerman KE. A review of diagnosis and service disparities among children with autism from racial and ethnic minority groups in the United States. Int Rev Res Dev Disabil 2018;55:145–80. 10.1016/bs.irrdd.2018.08.003
    1. Durkin MS, Maenner MJ, Benedict RE, et al. The role of socio-economic status and perinatal factors in racial disparities in the risk of cerebral palsy. Dev Med Child Neurol 2015;57:835–43. 10.1111/dmcn.12746
    1. Smith KA, Gehricke JG, Iadarola S, Wolfe A, Kuhlthau KA. Disparities in service use among children with autism: a systematic review. Pediatrics 2020;145(Suppl 1):S35–46. 10.1542/peds.2019-1895G
    1. Durkin MS, Maenner MJ, Baio J, et al. Autism spectrum disorder among US children (2002–2010): socioeconomic, racial, and ethnic disparities. Am J Public Health 2017;107:1818–26. 10.2105/AJPH.2017.304032
    1. Roman-Urrestarazu A, van Kessel R, Allison C, Matthews FE, Brayne C, Baron-Cohen S. Association of race/ethnicity and social disadvantage with autism prevalence in 7 million school children in England. JAMA Pediatr 2021;175:e210054. 10.1001/jamapediatrics.2021.0054
    1. Winter AS, Fountain C, Cheslack-Postava K, Bearman PS. The social patterning of autism diagnoses reversed in California between 1992 and 2018. Proc Natl Acad Sci U S A 2020;117:30295–302. 10.1073/pnas.2015762117
    1. Rai D, Lewis G, Lundberg M, et al. Parental socioeconomic status and risk of offspring autism spectrum disorders in a Swedish population-based study. J Am Acad Child Adolesc Psychiatry 2012;51:467–476.e6. 10.1016/j.jaac.2012.02.012
    1. Imm P, White T, Durkin MS. Assessment of racial and ethnic bias in autism spectrum disorder prevalence estimates from a US surveillance system. Autism 2019;23:1927–35. 10.1177/1362361319827510
    1. Lappé M, Lau L, Dudovitz RN, Nelson BB, Karp EA, Kuo AA. The diagnostic odyssey of autism spectrum disorder. Pediatrics 2018;141(Suppl 4):S272–9. 10.1542/peds.2016-4300C
    1. New Jersey Administrative Code. Title 6A, Chapter 14.
    1. Lord C, Elsabbagh M, Baird G, Veenstra-Vanderweele J. Autism spectrum disorder. Lancet 2018;392:508–20. 10.1016/S0140-6736(18)31129-2
    1. Reichow B, Hume K, Barton EE, Boyd BA. Early intensive behavioral intervention (EIBI) for young children with autism spectrum disorders (ASD). Cochrane Database Syst Rev 2018;5:CD009260. 10.1002/14651858.CD009260.pub3
    1. Pickles A, McCauley JB, Pepa LA, Huerta M, Lord C. The adult outcome of children referred for autism: typology and prediction from childhood. J Child Psychol Psychiatry 2020;61:760–7. 10.1111/jcpp.13180

Source: PubMed

3
Abonnere