The DOI matches its Crossref record; 48 of the 54 references it cites were found in a registry or an index.
Prevalence and Trends of Developmental Disabilities among Children in the United States: 2009–2017
Abstract
OBJECTIVES: To study the national prevalence of 10 developmental disabilities in US children aged 3 to 17 years and explore changes over time by associated demographic and socioeconomic characteristics, using the National Health Interview Survey. METHODS: Data come from the 2009 to 2017 National Health Interview Survey, a nationally representative survey of the civilian noninstitutionalized population. Parents reported physician or other health care professional diagnoses of attention-deficit/hyperactivity disorder; autism spectrum disorder; blindness; cerebral palsy; moderate to profound hearing loss; learning disability; intellectual disability; seizures; stuttering or stammering; and other developmental delays. Weighted percentages for each of the selected developmental disabilities and any developmental disability were calculated and stratified by demographic and socioeconomic characteristics. RESULTS: From 2009 to 2011 and 2015 to 2017, there were overall significant increases in the prevalence of any developmental disability (16.2%–17.8%, P < .001), attention-deficit/hyperactivity disorder (8.5%–9.5%, P < .01), autism spectrum disorder (1.1%–2.5%, P < .001), and intellectual disability (0.9%–1.2%, P < .05), but a significant decrease for any other developmental delay (4.7%–4.1%, P < .05). The prevalence of any developmental disability increased among boys, older children, non-Hispanic white and Hispanic children, children with private insurance only, children with birth weight ≥2500 g, and children living in urban areas and with less-educated mothers. CONCLUSIONS: The prevalence of developmental disability among US children aged 3 to 17 years increased between 2009 and 2017. Changes by demographic and socioeconomic subgroups may be related to improvements in awareness and access to health care.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“Developmental delays and disabilities are common in children, affecting up to 18% of children aged 3 to 17 years in the United States, according to recent national estimates.1”
From Early Childhood Care Coordination Through 211: A Randomized Clinical Trial (2024) · cites this paper as [1]
In the citing paper
“In a large US parent report survey in 88,530 children aged 3–17 years, the rate of any neurodevelopmental condition, including ADHD, autism, speech fluency disorder (stuttering), learning disorders, intellectual disabilities or any other developmental delay was 12.6% in females and 22.7% in males12.”
From Sex and gender in neurodevelopmental conditions (2023) · cites this paper as [12]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Diagnostic and Statistical Manual of Mental Disorders
American Psychiatric Association (2013) · doi:10.1176/appi.books.9780890425596 · Cited by 116,369
Diagnostic and Statistical Manual of Mental Disorders
Williams, J. B. W., & First, M. B. (2013) · Oxford University Press eBooks · doi:10.1093/acrefore/9780199975839.013.104 · Cited by 109,845
Baio, J., Wiggins, L., Christensen, D. L., Maenner, M. J., Daniels, J., Warren, Z., Kurzius-Spencer, M., Zahorodny, W., Robinson, C., Rosenberg, et al. (2018) · MMWR. Surveillance Summaries · doi:10.15585/mmwr.ss6706a1 · Cited by 6,078
Self-citationGlobal Prevalence of Autism and Other Pervasive Developmental Disorders
Elsabbagh, M., Divan, G., Koh, Y., Kim, Y. S., Kauchali, S., Marcín, C., Montiel‐Nava, C., Patel, V., Paula, C. S., Wang, C., et al. (2012) · Autism Research · doi:10.1002/aur.239 · Cited by 2,636 · cited 1×
“The reported prevalence of ASD in the United States and other industrialized countries has shown marked increases in recent decades.(2,20) However, understanding changes to ASD prevalence remains particularly challenging given that the diagnosis of ASD is based on a symptom profile, and health care provider and school…”
BackgroundTaylor, C. A., Bell, J. M., Breiding, M. J., & Xu, L. (2017) · MMWR Surveillance Summaries · doi:10.15585/mmwr.ss6609a1 · Cited by 2,331
Subcommittee on Attention-Deficit/Hyperactivity Disorder, S. C. O. Q. I. A. M. (2011) · Pediatrics · doi:10.1542/peds.2011-2654 · Cited by 2,185
Identification and Evaluation of Children With Autism Spectrum Disorders
Johnson, C. P., Myers, S. M., & and the Council on Children With Disabilities (2007) · Pediatrics · doi:10.1542/peds.2007-2361 · Cited by 2,011
Polanczyk, G. V., Willcutt, E. G., Salum, G. A., Kieling, C., & Rohde, L. A. (2014) · International Journal of Epidemiology · doi:10.1093/ije/dyt261 · Cited by 1,822 · cited 1×
“The increase in prevalence of diagnosed ADHD among US children and adolescents since the late 1990s has been well documented, although there is evidence that the prevalence of ADHD symptoms and impairment has remained steady over time.(15,16) Taken together, this suggests that the increases in diagnosed prevalence cou…”
ResultTrends in the prevalence of developmental disabilities in US children, 1997-2008
Boyle, C. A., Boulet, S., Schieve, L. A., Cohen, R. A., Blumberg, S. J., Yeargin-Allsopp, M., Visser, S., & Kogan, M. D. (2011) · Pediatrics · doi:10.1542/peds.2010-2989 · Cited by 1,732 · cited 2×
“…be formally recognized until a child is in school.23 Overall, the general consistency of demographic patterns with previous studies, particularly Boyle et al,11 suggests that underlying, contributing factors, such as service availability, continue to be associated with the prevalence of…”
MethodResultSelf-citationVisser, S. N., Danielson, M. L., Bitsko, R. H., Holbrook, J. R., Kogan, M. D., Ghandour, R. M., Perou, R., & Blumberg, S. J. (2014) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2013.09.001 · Cited by 1,263
Self-citationDanielson, M. L., Bitsko, R. H., Ghandour, R. M., Holbrook, J. R., Kogan, M. D., & Blumberg, S. J. (2018) · Journal of Clinical Child & Adolescent Psychology · doi:10.1080/15374416.2017.1417860 · Cited by 1,181
Blumberg, S. J., Bramlett, M. D., Kogan, M. D., Schieve, L. A., Jones, J. R., & Lu, M. C. (2013) · PubMed · Cited by 726
Self-citationThe increasing prevalence of autism spectrum disorders
Matson, J. L., & Kozlowski, A. M. (2010) · Research in Autism · doi:10.1016/j.rasd.2010.06.004 · Cited by 540
Zablotsky, B., Black, L. I., Maenner, M. J., Schieve, L. A., & Blumberg, S. J. (2015) · PubMed · Cited by 535
Self-citationHansen, S. N., Schendel, D. E., & Parner, E. T. (2015) · JAMA Pediatrics · doi:10.1001/jamapediatrics.2014.1893 · Cited by 461
Trends in the Prevalence of Cerebral Palsy in a Population-Based Study
Winter, S., Autry, A. R., Boyle, C. A., & Yeargin‐Allsopp, M. (2002) · PEDIATRICS · doi:10.1542/peds.110.6.1220 · Cited by 435
Self-citationChristensen, D., Bilder, D. A., Zahorodny, W. M., Pettygrove, S. D., Durkin, M. S., Fitzgerald, R. T., Rice, C. E., Kurzius‐Spencer, M., Baio, J., & Yeargin‐Allsopp, M. (2015) · Journal of Developmental & Behavioral Pediatrics · doi:10.1097/dbp.0000000000000235 · Cited by 412
Vohra, R., Madhavan, S., Sambamoorthi, U., & Peter, C. C. S. (2013) · Autism · doi:10.1177/1362361313512902 · Cited by 378
The prevalence of parent-reported autism spectrum disorder among US children
Kogan, M. D., Vladutiu, C. J., Schieve, L. A., Ghandour, R. M., Blumberg, S. J., Zablotsky, B., Perrin, J. M., Shattuck, P., Kuhlthau, K. A., Harwood, R. L., et al. (2018) · Pediatrics · doi:10.1542/peds.2017-4161 · Cited by 354
Self-citationBoulet, S. L., Boyle, C. A., & Schieve, L. A. (2009) · Archives of Pediatrics and Adolescent Medicine · doi:10.1001/archpediatrics.2008.506 · Cited by 337 · cited 1×
“Children diagnosed with developmental disabilities typically require services to address behavioral and developmental challenges.(1) Measuring the prevalence of developmental disabilities in the population helps gauge the adequacy of available services and interventions.”
BackgroundSelf-citationShattuck, P. T. (2006) · PEDIATRICS · doi:10.1542/peds.2005-1516 · Cited by 333 · cited 1×
“Evidence supporting this type of “diagnostic substitution” has been shown previously in special education administrative data sets.(31)”
ResultAbortion surveillance--United States, 1999.
Elam–Evans, L. D., Strauss, L. T., Herndon, J. L., Parker, W. Y., Whitehead, S. J., & Berg, C. J. (2002) · PubMed · Cited by 308
Treatment strategies for ADHD: an evidence-based guide to select optimal treatment
Caye, A., Swanson, J. M., Coghill, D., & Rohde, L. A. (2019) · Molecular Psychiatry · doi:10.1038/s41380-018-0116-3 · Cited by 303 · cited 1×
“Availability of treatment may also be related to increases in the diagnosis of ADHD, as there are many effective pharmacologic and nonpharmacologic treatments that have been and continue to be developed to address ADHD symptoms and associated negative functioning.(19)”
BackgroundMalaria Surveillance — United States, 2015
Mace, K. E., Arguin, P. M., & Tan, K. R. (2018) · MMWR Surveillance Summaries · doi:10.15585/mmwr.ss6707a1 · Cited by 281
Benefits of early intervention for children with developmental disabilities
Majnemer, A. (1998) · Seminars in Pediatric Neurology · doi:10.1016/s1071-9091(98)80020-x · Cited by 257 · cited 1×
“outcomes for those diagnosed with a developmental disability.(45) ABBREVIATIONS”
BackgroundMagaña, S., Parish, S. L., Rose, R. A., Timberlake, M., & Swaine, J. G. (2012) · Intellectual and Developmental Disabilities · doi:10.1352/1934-9556-50.4.287 · Cited by 255
Changing Trends of Childhood Disability, 2001–2011
Houtrow, A. J., Larson, K., Olson, L. M., Newacheck, P. W., & Halfon, N. (2014) · PEDIATRICS · doi:10.1542/peds.2014-0594 · Cited by 223
Population impact of preterm birth and low birth weight on developmental disabilities in US children
Schieve, L. A., Tian, L. H., Rankin, K., Kogan, M. D., Yeargin‐Allsopp, M., Visser, S. N., & Rosenberg, D. L. (2016) · Annals of Epidemiology · doi:10.1016/j.annepidem.2016.02.012 · Cited by 212
Self-citationMaenner, M. J., Blumberg, S. J., Kogan, M. D., Christensen, D., Yeargin-Allsopp, M., & Schieve, L. A. (2016) · Annals of Epidemiology · doi:10.1016/j.annepidem.2016.01.001 · Cited by 209
Self-citationZablotsky, B., Black, L. I., & Blumberg, S. J. (2017) · PubMed · Cited by 209
Self-citationQuality through Collaboration: The Future of Rural Health
Wilson, S. (2006) · Journal of Interprofessional Care · doi:10.1080/13561820600583566 · Cited by 207
Rural mental health and psychological treatment: a review for practitioners
Smalley, K. B., Yancey, C. T., Warren, J. C., Naufel, K., Ryan, R., & Pugh, J. L. (2010) · Journal of Clinical Psychology · doi:10.1002/jclp.20688 · Cited by 199 · cited 1×
“The higher prevalence of identified disorders among children living in rural areas may be related to differences in demographic patterns and risk factors in rural areas, including greater financial difficulties and less access to amenities and treatment resources.(4,35,36) The overall difference between urban and rura…”
BackgroundAkinbami, L. J., Liu, X., Pastor, P. N., & Reuben, C. A. (2011) · PubMed · Cited by 191
Robinson, L. R., Holbrook, J. R., Bitsko, R. H., Hartwig, S. A., Kaminski, J. W., Ghandour, R. M., Peacock, G., Heggs, A., & Boyle, C. A. (2017) · MMWR Surveillance Summaries · doi:10.15585/mmwr.ss6608a1 · Cited by 140 · cited 2×
“The higher prevalence of identified disorders among children living in rural areas may be related to differences in demographic patterns and risk factors in rural areas, including greater financial difficulties and less access to amenities and treatment resources.(4,35,36) The overall difference between urban and rura…”
BackgroundSelf-citationMcGuire, D. O., Tian, L. H., Yeargin‐Allsopp, M., Dowling, N. F., & Christensen, D. (2019) · Disability and health journal · doi:10.1016/j.dhjo.2019.01.005 · Cited by 133
Birth Weight and Health and Developmental Outcomes in US Children, 1997–2005
Boulet, S. L., Schieve, L. A., & Boyle, C. A. (2009) · Maternal and Child Health Journal · doi:10.1007/s10995-009-0538-2 · Cited by 122
Self-citationRydell, M., Lundström, S., Gillberg, C., Lichtenstein, P., & Larsson, H. (2018) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12882 · Cited by 105 · cited 1×
“The increase in prevalence of diagnosed ADHD among US children and adolescents since the late 1990s has been well documented, although there is evidence that the prevalence of ADHD symptoms and impairment has remained steady over time.(15,16) Taken together, this suggests that the increases in diagnosed prevalence cou…”
ResultPastor, P. N., Reuben, C. A., Duran, C. R., & Hawkins, L. D. (2015) · PubMed · Cited by 74
Blumberg, S. J., Zablotsky, B., Avila, R. M., Colpe, L. J., Pringle, B. A., & Kogan, M. D. (2015) · Autism · doi:10.1177/1362361315607724 · Cited by 74 · cited 1×
“that the persistence of developmental disabilities is highly variable by condition, with some children losing a diagnosis as a result of maturation or the ability to effectively manage their condition.(42)”
BackgroundSelf-citationSchieve, L. A., Rice, C., Yeargin-Allsopp, M., Boyle, C. A., Kogan, M. D., Drews, C., & Devine, O. (2012) · Maternal and Child Health Journal · doi:10.1007/s10995-012-1004-0 · Cited by 62 · cited 1×
“was largely explained by diagnoses in older children within given birth cohorts.(25,26) The composition of children with ASD has also changed over the years, with the cooccurrence of ID decreasing in recent years, likely a result of broadening diagnostic criteria.”
BackgroundSelf-citationDurkin, M. S., Maenner, M. J., Benedict, R. E., Braun, K. V. N., Christensen, D., Kirby, R. S., Wingate, M. S., & Yeargin‐Allsopp, M. (2015) · Developmental Medicine & Child Neurology · doi:10.1111/dmcn.12746 · Cited by 58
Self-citationPrevalence of autism spectrum disorders in toddlers receiving early intervention services
Worley, J. A., Matson, J. L., Sipes, M., & Kozlowski, A. M. (2010) · Research in Autism · doi:10.1016/j.rasd.2010.10.007 · Cited by 46
Walkup, J. T., Stossel, L. M., & Rendleman, R. L. (2013) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2013.10.008 · Cited by 23 · cited 1×
“Taken together, this suggests that the increases in diagnosed prevalence could be driven by better identification of children who meet criteria for ADHD, as current estimates of diagnosed prevalence are in line with community-based studies in which researchers measured symptoms and impairment against Diagnostic and St…”
Nyarko, K. A., Grosse, S. D., Danielson, M. L., Holbrook, J. R., Visser, S. N., & Shapira, S. K. (2017) · Journal of Child and Adolescent Psychopharmacology · doi:10.1089/cap.2016.0196 · Cited by 23
Self-citationEffects of Rosa’s Law on Intellectual-Disability Reporting
Stavrakantonaki, M., & Johnson, T. P. (2018) · Public Opinion Quarterly · doi:10.1093/poq/nfy024 · Cited by 4 · cited 1×
“”(7) It has been hypothesized that wording changes may have decreased social desirability pressures (eg, parents may be more comfortable endorsing ID rather than mental retardation) while increasing the ability to recognize and correctly endorse the condition by including both terms.(30)”
Background
Research works printed but not linked: 2
- Health Resources and Services Administration, 2016, Designated Health Professional Shortage Areas (HPSA) Statistics
- Majnemer, 1998, Semin Pediatr Neurol, 62
Cited by
Sorted by citations
Maenner, M. J., Shaw, K. A., Baio, J., EdS1, Washington, A., Patrick, M., DiRienzo, M., Christensen, D. L., Wiggins, L. D., Pettygrove, S., et al. (2020) · MMWR. Surveillance Summaries · doi:10.15585/mmwr.ss6904a1 · Cited by 3,780
“The 2016 NSCH and the 2015–2017 NHIS both estimated ASD prevalence at 25 per 1,000 children aged 3–17 years (13,29).”
BackgroundSelf-citationMental Health Surveillance Among Children — United States, 2013–2019
Bitsko, R. H., Claussen, A. H., Lichstein, J., Black, L. I., Jones, S. E., Danielson, M. L., Hoenig, J. M., Davis Jack, S. P., Brody, D. J., Gyawali, S., et al. (2022) · MMWR Supplements · doi:10.15585/mmwr.su7102a1 · Cited by 1,723
“Consistent with previous studies, boys had a higher prevalence than girls of ADHD, behavioral or conduct problems, ASD, Tourette syndrome, and rates of suicide (1,34,38,42,82,86), and girls had higher estimated prevalences of depression, suicidal ideation, and attempted suicide (1,34).”
BackgroundSelf-citationHampl, S. E., Hassink, S. G., Skinner, A. C., Armstrong, S. C., Barlow, S. E., Bolling, C. F., Avila Edwards, K. C., Eneli, I., Hamre, R., Joseph, M. M., et al. (2023) · Pediatrics · doi:10.1542/peds.2022-060640 · Cited by 1,389
Maternal immune activation and neuroinflammation in human neurodevelopmental disorders
Han, V. X., Patel, S., Jones, H. F., & Dale, R. C. (2021) · Nature Reviews Neurology · doi:10.1038/s41582-021-00530-8 · Cited by 683
Five-Year Trends in US Children’s Health and Well-being, 2016-2020
Lebrun‐Harris, L. A., Ghandour, R. M., Kogan, M. D., & Warren, M. D. (2022) · Archives of Pediatrics and Adolescent Medicine · doi:10.1001/jamapediatrics.2022.0056 · Cited by 378
Self-citation
Metadata
- Authors
- Zablotsky, B., Black, L. I., Maenner, M. J., Schieve, L. A., Danielson, M. L., Bitsko, R. H., Blumberg, S. J., Kogan, M. D., & Boyle, C. A.
- Affiliations
- Centers for Disease Control and Prevention (US)
- Health Resources and Services Administration (US)
- Corresponding author
- Zablotsky, Benjamin
- ORCID
- Venue
- Pediatrics
- Publisher
- American Academy of Pediatrics (AAP)
- Published
- 2019-10-01
- Volume
- 144
- Issue
- 4
- ISSN
- 0031-4005 (ISSN-L)
- 1098-4275
- PMC
- PMC7076808
- OpenAlex
- W2976851556
- Cited by
- 1,217
- References
- 54
- Citations by year
- 2026: 116 · 2025: 189 · 2024: 210 · 2023: 218 · 2022: 218 · 2021: 184 · 2020: 75 · 2019: 4
- FWCI
- 111.65
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- PEDIATRICS (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (CC999999)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Down syndrome and intellectual disability research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Health and Medical Studies
- Keywords
- developmental disabilities, prevalence trends, attention deficit hyperactivity disorder, autism spectrum disorder, intellectual disability, developmental delay, learning disabilities, cerebral palsy, hearing loss, blindness, seizures, stuttering, socioeconomic disparities, demographic disparities, children, United States
- MeSH terms
- Autism Spectrum Disorder, Adolescent, Age Factors, Attention Deficit Disorder with Hyperactivity, Blindness, Cerebral Palsy, Child, Developmental Disabilities, Child, Preschool, Educational Status, Female, Humans, Male, Intellectual Disability, Population Dynamics, Seizures, Sex Factors, Socioeconomic Factors, Stuttering, United States, Prevalence, Insurance Coverage, Hearing Loss
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review