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05-12-2018 | Original Paper

Autism Spectrum Disorder: Incidence and Time Trends Over Two Decades in a Population-Based Birth Cohort

Gepubliceerd in: Journal of Autism and Developmental Disorders | Uitgave 4/2019

Abstract

We retrospectively identified autism spectrum disorder (ASD) incident cases among 31,220 individuals in a population-based birth cohort based on signs and symptoms uniformly abstracted from medical and educational records. Inclusive and narrow research definitions of ASD (ASD-R_I and ASD-R_N, respectively) were explored, along with clinical diagnoses of ASD (ASD-C) obtained from the records. The incidence of ASD-R_I, ASD-R_N, and ASD-C increased significantly from 1985 to 1998, then ASD-R_I and ASD-R_N plateaued while the rate of ASD-C continued to increase during 1998–2004. The rising incidence of research-defined ASD may reflect improved recognition and documentation of ASD signs and symptoms. Although the frequency of threshold ASD symptoms stabilized, the rate of ASD-C continued to increase, narrowing the gap between clinical ascertainment and symptom documentation.

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American Psychiatric Association. (2000). Diagnostic and Statistical Manual of Mental Disorders. In Text Revision (DSM-IV-TR) ( 4th Edition). Washington, DC: American Psychiatric Publishing.

American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders, 5th Edn. VA: American Psychiatric Association. CrossRef

Atladottir, H. O., Gyllenberg, D., Langridge, A., Sandin, S., Hansen, S. N., Leonard, H., et al. (2015). The increasing prevalence of reported diagnoses of childhood psychiatric disorders: A descriptive multinational comparison. European Child and Adolescent Psychiatry, 24(2), 173–183. https://doi.org/10.1007/s00787-014-0553-8. CrossRefPubMed

Baio, J., Wiggins, L., Christensen, D. L., Maenner, M. J., Daniels, J., Warren, Z., et al. (2018). Prevalence of autism spectrum disorder among children aged 8 years—autism and developmental disabilities monitoring network, 11 sites, United States, 2014. MMWR Surveillence Summaries, 67(6), 1–23. https://doi.org/10.15585/mmwr.ss6706a1. CrossRef

Baker, J. P. (2013). Autism at 70–redrawing the boundaries. New England Journal of Medicine, 369(12), 1089–1091. https://doi.org/10.1056/NEJMp1306380. CrossRefPubMed

Barbaresi, W. J., Katusic, S. K., Colligan, R. C., Pankratz, V. S., Weaver, A. L., Weber, K. J., et al. (2002). How common is attention-deficit/hyperactivity disorder? Incidence in a population-based birth cohort in Rochester, Minn. Archives of Pediatrics and Adolescent Medicine, 156(3), 217–224. CrossRefPubMed

Barbaresi, W. J., Katusic, S. K., Colligan, R. C., Weaver, A. L., & Jacobsen, S. J. (2005). The incidence of autism in Olmsted County, Minnesota, 1976–1997: Results from a population-based study. Archives of Pediatrics and Adolescent Medicine, 159(1), 37–44. https://doi.org/10.1001/archpedi.159.1.37. CrossRefPubMed

Baxter, A. J., Brugha, T. S., Erskine, H. E., Scheurer, R. W., Vos, T., & Scott, J. G. (2015). The epidemiology and global burden of autism spectrum disorders. Psychological Medicine, 45(3), 601–613. https://doi.org/10.1017/S003329171400172X. CrossRefPubMed

Beighley, J. S., & Matson, J. L. (2014). Comparing social skills in children diagnosed with authism spectrum disorder according to the DSM-IV-TR and the DSM-5. Journal of Developmental and Physical Disabilities, 26(6), 689–701. CrossRef

Beighley, J. S., Matson, J. L., Rieske, R. D., Jang, J., Cervantes, P. E., & Goldin, R. L. (2013). Comparing challenging behavior in children diagnosed with autism spectrum disorders according to the DSM-IV-TR and the proposed DSM-5. Developmental Neurorehabilitation, 16(6), 375–381. https://doi.org/10.3109/17518423.2012.760119. CrossRefPubMed

Bennett, M., & Goodall, E. (2016). A meta-analysis of DSM-5 autism diagnoses in relation to DSM-IV and DSM-IV-TR. Review Journal of Autism and Developmental Disorders, 3, 119–124. CrossRef

Bent, C. A., Barbaro, J., & Dissanayake, C. (2017). Change in autism diagnoses prior to and following the introduction of DSM-5. Journal of Autism and Developmental Disorders, 47(1), 163–171. https://doi.org/10.1007/s10803-016-2942-y. CrossRefPubMed

Bishop, D. V., Whitehouse, A. J., Watt, H. J., & Line, E. A. (2008). Autism and diagnostic substitution: Evidence from a study of adults with a history of developmental language disorder. Devopmental Medicine and Child Neurology, 50(5), 341–345. https://doi.org/10.1111/j.1469-8749.2008.02057.x. CrossRef

Blumberg, S. J., Bramlett, M. D., Kogan, M. D., Schieve, L. A., Jones, J. R., & Lu, M. C. (2013). Changes in prevalence of parent-reported autism spectrum disorder in school-aged U.S. children: 2007 to 2011–2012. National Health Statistics Reports, 65, 1–11.

Brugha, T. S., McManus, S., Bankart, J., Scott, F., Purdon, S., Smith, J., et al. (2011). Epidemiology of autism spectrum disorders in adults in the community in England. Archives of General Psychiatry, 68(5), 459–465. https://doi.org/10.1001/archgenpsychiatry.2011.38. CrossRefPubMed

California Department of Developmental Services. (2007). Autistic spectrum disorders: Changes in the California caseload, an update: June 1987–June 2007. Sacramento: California Health and Human Services Agency, Department of Developmental Services.

Christensen, D. L., Baio, J., Braun, K. V., Bilder, D., Charles, J., Constantino, J. N., et al. (2016). Prevalence and characteristics of autism spectrum disorder among children aged 8 years—autism and developmental disabilities monitoring network, 11 sites, United States, 2012. MMWR Surveillance Summaries, 65(2), 1–23. CrossRef

Clark, L. A., Cuthbert, B., Lewis-Fernandez, R., Narrow, W. E., & Reed, G. M. (2017). Three Approaches to understanding and classifying mental disorder: ICD-11, DSM-5, and the National Institute of Mental Health’s Research Domain Criteria (RDoC). Psychological Science in the Public Interest, 18(2), 72–145. https://doi.org/10.1177/1529100617727266. CrossRefPubMed

Constantino, J. N. (2011). The quantitative nature of autistic social impairment. Pediatric Research, 69(5 Pt 2), 55R–62R. https://doi.org/10.1203/PDR.0b013e318212ec6e. CrossRefPubMedPubMedCentral

Constantino, J. N., & Todd, R. D. (2003). Autistic traits in the general population: A twin study. Archives of General Psychiatry, 60(5), 524–530. https://doi.org/10.1001/archpsyc.60.5.524. CrossRefPubMed

Coo, H., Ouellette-Kuntz, H., Lloyd, J. E., Kasmara, L., Holden, J. J., & Lewis, M. E. (2008). Trends in autism prevalence: Diagnostic substitution revisited. Journal of Autism and Developmental Disorders, 38(6), 1036–1046. https://doi.org/10.1007/s10803-007-0478-x. CrossRefPubMed

Davidovitch, M., Hemo, B., Manning-Courtney, P., & Fombonne, E. (2013). Prevalence and incidence of autism spectrum disorder in an Israeli population. Journal of Autism and Developmental Disorders, 43(4), 785–793. https://doi.org/10.1007/s10803-012-1611-z. CrossRefPubMed

DeVilbiss, E. A., & Lee, B. K. (2014). Brief report: Trends in US National autism awareness from 2004 to 2014: The impact of national autism awareness month. Journal of Autism and Developmental Disorders, 44(12), 3271–3273. https://doi.org/10.1007/s10803-014-2160-4. CrossRefPubMed

Elsabbagh, M., Divan, G., Koh, Y. J., Kim, Y. S., Kauchali, S., Marcin, C., et al. (2012). Global prevalence of autism and other pervasive developmental disorders. Autism Research, 5(3), 160–179. https://doi.org/10.1002/aur.239. CrossRefPubMedPubMedCentral

Fombonne, E. (2009). Epidemiology of pervasive developmental disorders. Pediatric Research, 65(6), 591–598. https://doi.org/10.1203/PDR.0b013e31819e7203. CrossRefPubMed

Frost, W. H. (1939). The age selection of mortality from tuberculosis in successive decades. American Journal of Hygiene, 30, 91–96.

Hansen, S. N., Schendel, D. E., & Parner, E. T. (2015). Explaining the increase in the prevalence of autism spectrum disorders: The proportion attributable to changes in reporting practices. JAMA Pediatrics, 169(1), 56–62. https://doi.org/10.1001/jamapediatrics.2014.1893. CrossRefPubMed

Hennekens, C. H., & Buring, J. E. (1987a). Cohort studies. In S. L. Mayrent (Ed.), Epidemiology of Medicine. Boston/Toronto: Little, Brown and Company.

Hennekens, C. H., & Buring, J. E. (1987b). Measures of disease frequency and association. In S. L. Mayrent (Ed.), Epidemiology in Medicine. Boston/Toronto: Little, Brown and Company.

Hoffman, K., Weisskopf, M. G., Roberts, A. L., Raz, R., Hart, J. E., Lyall, K., et al. (2017). Geographic patterns of autism spectrum disorder among children of participants in Nurses’ Health Study II. American Journal of Epidemiology, 186(7), 834–842. https://doi.org/10.1093/aje/kwx158. CrossRefPubMedPubMedCentral

Hyman, S. E. (2010). The diagnosis of mental disorders: The problem of reification. Annual Review of Clinical Psychology, 6, 155–179. https://doi.org/10.1146/annurev.clinpsy.3.022806.091532. CrossRefPubMed

Idring, S., Lundberg, M., Sturm, H., Dalman, C., Gumpert, C., Rai, D., et al. (2015). Changes in prevalence of autism spectrum disorders in 2001–2011: Findings from the Stockholm youth cohort. Journal of Autism and Developmental Disorders, 45(6), 1766–1773. https://doi.org/10.1007/s10803-014-2336-y. CrossRefPubMed

Isaksen, J., Diseth, T. H., Schjolberg, S., & Skjeldal, O. H. (2012). Observed prevalence of autism spectrum disorders in two Norwegian counties. European Journal of Paediatric Neurology, 16(6), 592–598. https://doi.org/10.1016/j.ejpn.2012.01.014. CrossRefPubMed

Isaksen, J., Diseth, T. H., Schjolberg, S., & Skjeldal, O. H. (2013). Autism spectrum disorders—are they really epidemic? European Journal of Paediatric Neurology, 17(4), 327–333. https://doi.org/10.1016/j.ejpn.2013.03.003. CrossRefPubMed

Jensen, C. M., Steinhausen, H. C., & Lauritsen, M. B. (2014). Time trends over 16 years in incidence-rates of autism spectrum disorders across the lifespan based on nationwide Danish register data. Journal of Autism and Developmental Disorders, 44(8), 1808–1818. https://doi.org/10.1007/s10803-014-2053-6. CrossRefPubMed

Johnson, C. P., & Myers, S. M. (2007). Identification and evaluation of children with autism spectrum disorders. Pediatrics, 120(5), 1183–1215. https://doi.org/10.1542/peds.2007-2361. CrossRefPubMed

Kamio, Y., Inada, N., Moriwaki, A., Kuroda, M., Koyama, T., Tsujii, H., et al. (2013). Quantitative autistic traits ascertained in a national survey of 22 529 Japanese schoolchildren. Acta Psychiatrica Scandinavica, 128(1), 45–53. https://doi.org/10.1111/acps.12034. CrossRefPubMed

Katusic, S. K., Colligan, R. C., Barbaresi, W. J., Schaid, D. J., & Jacobsen, S. J. (1998). Potential influence of migration bias in birth cohort studies. Mayo Clinic Proceedings, 73(11), 1053–1061. https://doi.org/10.4065/73.11.1053. CrossRef

Katusic, S. K., Colligan, R. C., Barbaresi, W. J., Schaid, D. J., & Jacobsen, S. J. (2001). Incidence of reading disability in a population-based birth cohort, 1976–1982, Rochester, Minn. Mayo Clinic Proceedings, 76(11), 1081–1092. https://doi.org/10.4065/76.11.1081. CrossRef

Katusic, S. K., Colligan, R. C., Myers, S. M., Voigt, R. G., Yoshimasu, K., Stoeckel, R. E., et al. (2017). What can large population-based birth cohort study ask about past, present and future of children with disorders of development, learning, and behavior? Journal of Epidemiology and Community Health, 71(4), 410–416. https://doi.org/10.1136/jech-2016-208482. CrossRefPubMedPubMedCentral

Kawamura, Y., Takahashi, O., & Ishii, T. (2008). Reevaluating the incidence of pervasive developmental disorders: Impact of elevated rates of detection through implementation of an integrated system of screening in Toyota, Japan. Psychiatry and Clinical Neurosciences, 62(2), 152–159. https://doi.org/10.1111/j.1440-1819.2008.01748.x. CrossRefPubMed

Keyes, K. M., Susser, E., Cheslack-Postava, K., Fountain, C., Liu, K., & Bearman, P. S. (2012). Cohort effects explain the increase in autism diagnosis among children born from 1992 to 2003 in California. International Journal of Epidemiology, 41(2), 495–503. https://doi.org/10.1093/ije/dyr193. CrossRefPubMed

Kim, Y. S., Fombonne, E., Koh, Y. J., Kim, S. J., Cheon, K. A., & Leventhal, B. L. (2014). A comparison of DSM-IV pervasive developmental disorder and DSM-5 autism spectrum disorder prevalence in an epidemiologic sample. Journal of the American Academy of Child and Adolescent Psychiatry, 53(5), 500–508. https://doi.org/10.1016/j.jaac.2013.12.021. CrossRefPubMedPubMedCentral

Kim, Y. S., Leventhal, B. L., Koh, Y. J., Fombonne, E., Laska, E., Lim, E. C., et al. (2011). Prevalence of autism spectrum disorders in a total population sample. American Journal of Psychiatry, 168(9), 904–912. https://doi.org/10.1176/appi.ajp.2011.10101532. CrossRefPubMed

Kurland, L. T., Elveback, L. R., & Nobrega, F. T. (1970). Population studies in Rochester and Olmsted County, Minnesota, 1900–1968. In I. I. Kessler & M. I. Levin MI. (Eds.), The Community as an Epidemiologic Laboratory (pp. 47–70). Baltimore: John’s Hopkins University Press.

Liddell, F. D. (1988). The development of cohort studies in epidemiology: A review. Journal of Clinical Epidemiology, 41(12), 1217–1237. CrossRefPubMed

Lingren, T., Chen, P., Bochenek, J., Doshi-Velez, F., Manning-Courtney, P., Bickel, J., et al. (2016). Electronic health record based algorithm to identify patients with autism spectrum disorder. PloS One, 11(7), e0159621. https://doi.org/10.1371/journal.pone.0159621. CrossRefPubMedPubMedCentral

Liu, K. Y., King, M., & Bearman, P. S. (2010). Social influence and the autism epidemic. American Journal of Sociology, 115(5), 1387–1434. CrossRef

Lord, C., Petkova, E., Hus, V., Gan, W., Lu, F., Martin, D. M., et al. (2012). A multisite study of the clinical diagnosis of different autism spectrum disorders. Archives of General Psychiatry, 69(3), 306–313. https://doi.org/10.1001/archgenpsychiatry.2011.148. CrossRefPubMed

Lundstrom, S., Reichenberg, A., Anckarsater, H., Lichtenstein, P., & Gillberg, C. (2015). Autism phenotype versus registered diagnosis in Swedish children: Prevalence trends over 10 years in general population samples. BMJ. 350, h1961. https://doi.org/10.1136/bmj.h1961.

Maenner, M. J., Rice, C. E., Arneson, C. L., Cunniff, C., Schieve, L. A., Carpenter, L. A., et al. (2014). Potential impact of DSM-5 criteria on autism spectrum disorder prevalence estimates. JAMA Psychiatry, 71(3), 292–300. https://doi.org/10.1001/jamapsychiatry.2013.3893. CrossRefPubMedPubMedCentral

May, T., Sciberras, E., Brignell, A., & Williams, K. (2017). Autism spectrum disorder: Updated prevalence and comparison of two birth cohorts in a nationally representative Australian sample. British Medical Journal Open, 7(5), e015549. https://doi.org/10.1136/bmjopen-2016-015549. CrossRef

Mazumdar, S., Winter, A., Liu, K. Y., & Bearman, P. (2013). Spatial clusters of autism births and diagnoses point to contextual drivers of increased prevalence. Social Science and Medicine, 95, 87–96. https://doi.org/10.1016/j.socscimed.2012.11.032. CrossRefPubMed

Melton, L. J. 3rd (1996). History of the Rochester Epidemiology Project. Mayo Clinic Proceedings, 71(3), 266–274. https://doi.org/10.1016/S0025-6196(11)63966-9. CrossRef

Miller, J. S., Bilder, D., Farley, M., Coon, H., Pinborough-Zimmerman, J., Jenson, W., et al. (2013). Autism spectrum disorder reclassified: A second look at the 1980s Utah/UCLA Autism Epidemiologic Study. Journal of Autism and Developmental Disorders, 43(1), 200–210. https://doi.org/10.1007/s10803-012-1566-0. CrossRefPubMedPubMedCentral

Møller, J., Syversveen, A. R., & Waagepetersen, R. P. (1998). Log Gaussian Cox processes. Scandinavian Journal of Statistics, Theory and Applications, 25(3), 451–482. CrossRef

Myers, S. M., & Johnson, C. P. (2007). Management of children with autism spectrum disorders. Pediatrics, 120(5), 1162–1182. https://doi.org/10.1542/peds.2007-2362. CrossRefPubMed

Nassar, N., Dixon, G., Bourke, J., Bower, C., Glasson, E., de Klerk, N., et al. (2009). Autism spectrum disorders in young children: Effect of changes in diagnostic practices. International Journal of Epidemiology, 38(5), 1245–1254. https://doi.org/10.1093/ije/dyp260. CrossRefPubMed

Newschaffer, C. J., Falb, M. D., & Gurney, J. G. (2005). National autism prevalence trends from United States special education data. Pediatrics, 115(3), e277–e282. https://doi.org/10.1542/peds.2004-1958. CrossRefPubMed

Office of Autism Research Coordination (OARC) National Institute of Mental Health and Thomson Reuters, Inc., on behalf of the Interagency Autism Coordinating Committee (IACC). IACC/OARC Autism Spectrum Disorder Research Publications Analysis Report: The Global Landscape of Autism Research, July 2012. Retrieved from the Department of Health and Human Services Interagency Autism Coordinating Committee website. Retrieved September 19, 2018 http://iacc.hhs.gov/publiations-analysis/july2012/index.shtml.

Palmer, N., Beam, A., Agniel, D., Eran, A., Manrai, A., Spettell, C., et al. (2017). Association of sex with recurrence of autism spectrum disorder among siblings. JAMA Pediatrics, 171(11), 1107–1112. https://doi.org/10.1001/jamapediatrics.2017.2832. CrossRefPubMedPubMedCentral

Park, H. Y., Harwood, R. L., Yu, S. M., Kavanagh, L., & Lu, M. C. (2016). Autism and other developmental disabilities research programs of the Maternal and Child Health Bureau. Pediatrics, 137(Suppl 2), S61–S66. https://doi.org/10.1542/peds.2015-2851C. CrossRefPubMed

Pearce, N. (2012). Classification of epidemiological study designs. International Journal of Epidemiology, 41(2), 393–397. https://doi.org/10.1093/ije/dys049. CrossRefPubMed

Polyak, A., Kubina, R. M., & Girirajan, S. (2015). Comorbidity of intellectual disability confounds ascertainment of autism: Implications for genetic diagnosis. American Journal of Medical Genetics. Part B: Neuropsychiatric Genetics, 168(7), 600–608. https://doi.org/10.1002/ajmg.b.32338. CrossRef

Posserud, M. B., Lundervold, A. J., & Gillberg, C. (2006). Autistic features in a total population of 7-9-year-old children assessed by the ASSQ (Autism Spectrum Screening Questionnaire). Journal of Child Psychology and Psychiatry and Allied Disciplines, 47(2), 167–175. https://doi.org/10.1111/j.1469-7610.2005.01462.x. CrossRef

R Core Team (2017). R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing.

Raz, R., Weisskopf, M. G., Davidovitch, M., Pinto, O., & Levine, H. (2015). Differences in autism spectrum disorders incidence by sub-populations in Israel 1992–2009: A total population study. Journal of Autism and Developmental Disorders, 45(4), 1062–1069. https://doi.org/10.1007/s10803-014-2262-z. CrossRefPubMedPubMedCentral

Reich, B. J., Storlie, C. B., & Bondell, H. D. (2009). Variable selection in Bayesian smoothing spline ANOVA models: Application to deterministic computer codes. Technometrics, 51(2), 110–120. https://doi.org/10.1198/TECH.2009.0013. CrossRefPubMedPubMedCentral

Rice, C. E., Rosanoff, M., Dawson, G., Durkin, M. S., Croen, L. A., Singer, A., et al. (2012). Evaluating changes in the prevalence of the Autism Spectrum Disorders (ASDs). Public Health Reviews, 34(2), 1–22. CrossRefPubMedPubMedCentral

Rocca, W. A., Yawn, B. P., Sauver, St, Grossardt, J. L., B. R., & Melton, L. J. 3rd (2012). History of the Rochester Epidemiology Project: Half a century of medical records linkage in a US population. Mayo Clinic Proceedings, 87(12), 1202–1213. https://doi.org/10.1016/j.mayocp.2012.08.012. CrossRef

Saemundsen, E., Magnusson, P., Georgsdottir, I., Egilsson, E., & Rafnsson, V. (2013). Prevalence of autism spectrum disorders in an Icelandic birth cohort. British Medical Journal Open, 3(6), 1–6. https://doi.org/10.1136/bmjopen-2013-002748. CrossRef

Schieve, L. A., Rice, C., Yeargin-Allsopp, M., Boyle, C. A., Kogan, M. D., Drews, C., et al. (2012). Parent-reported prevalence of autism spectrum disorders in US-born children: An assessment of changes within birth cohorts from the 2003 to the 2007 National Survey of Children’s Health. Maternal and Child Health Journal, 16(Suppl 1), 151–157. https://doi.org/10.1007/s10995-012-1004-0. CrossRef

Smith, I. C., Reichow, B., & Volkmar, F. R. (2015). The effects of DSM-5 criteria on number of individuals diagnosed with autism spectrum disorder: A systematic review. Journal of Autism and Developmental Disorders, 45(8), 2541–2552. https://doi.org/10.1007/s10803-015-2423-8. CrossRefPubMed

St Sauver, J. L., Grossardt, B. R., Leibson, C. L., Yawn, B. P., Melton, L. J. 3rd, & Rocca, W. A. (2012a). Generalizability of epidemiological findings and public health decisions: An illustration from the Rochester Epidemiology Project. Mayo Clinic Proceedings, 87(2), 151–160. https://doi.org/10.1016/j.mayocp.2011.11.009. CrossRef

St Sauver, J. L., Grossardt, B. R., Yawn, B. P., Melton, L. J., Pankratz, J. J., Brue, S. M., et al. (2012b). Data resource profile: The Rochester Epidemiology Project (REP) medical records-linkage system. International Journal of Epidemiology, 41(6), 1614–1624. https://doi.org/10.1093/ije/dys195. CrossRefPubMedPubMedCentral

St Sauver, J. L., Grossardt, B. R., Yawn, B. P., Melton, L. J. 3rd, & Rocca, W. A. (2011). Use of a medical records linkage system to enumerate a dynamic population over time: The Rochester epidemiology project. American Journal of Epidemiology, 173(9), 1059–1068. https://doi.org/10.1093/aje/kwq482. CrossRefPubMedPubMedCentral

Storlie, C. B., Reich, B. J., Helton, J. C., Swiler, L. P., & Sallaberry, C. J. (2013). Analysis of computationally demanding models with continuous and categorical inputs. Reliability Engineering System Safety, 113, 30–41. CrossRef

Taylor, B., Jick, H., & Maclaughlin, D. (2013). Prevalence and incidence rates of autism in the UK: Time trend from 2004 to 2010 in children aged 8 years. British Medical Journal Open, 3(10), e003219. https://doi.org/10.1136/bmjopen-2013-003219. CrossRef

Whitehouse, A. J., Cooper, M. N., Bebbington, K., Alvares, G., Lin, A., Wray, J., et al. (2017). Evidence of a reduction over time in the behavioral severity of autistic disorder diagnoses. Autism Research, 10(1), 179–187. https://doi.org/10.1002/aur.1740. CrossRefPubMed

Wing, L., & Potter, D. (2002). The epidemiology of autistic spectrum disorders: Is the prevalence rising? Mental Retardation and Developmental Disabilities Research Reviews, 8(3), 151–161. https://doi.org/10.1002/mrdd.10029. CrossRefPubMed

Xu, G., Strathearn, L., Liu, B., & Bao, W. (2018). Prevalence of autism spectrum disorder among US children and adolescents, 2014–2016. JAMA, 319(1), 81–82. https://doi.org/10.1001/jama.2017.17812. CrossRefPubMedPubMedCentral

Yeargin-Allsopp, M., Boyle, C., van Naarden-Braun, K., & Trevathan, E. (2008). The epidemiology of developmental disabilities. In P. J. Accardo (Ed.), Capute & Accardo’s neurodevelopmental disabilities in infancy and childhood, Third Edition: Volume I: Neurodevelopmental diagnosis and treatment (pp. 61–104). Baltimore: Paul H. Brookes Publishing Co.

Zablotsky, B., Black, L. I., Maenner, M. J., Schieve, L. A., & Blumberg, S. J. (2015). Estimated prevalence of autism and other developmental disabilities following questionnaire changes in the 2014 National Health Interview Survey. National Health Statistics Report, 87, 1–20.

Titel: Autism Spectrum Disorder: Incidence and Time Trends Over Two Decades in a Population-Based Birth Cohort
Publicatiedatum: 05-12-2018
Gepubliceerd in: Journal of Autism and Developmental Disorders / Uitgave 4/2019
Print ISSN: 0162-3257
Elektronisch ISSN: 1573-3432
DOI: https://doi.org/10.1007/s10803-018-3834-0

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