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Cited by 76Autism Spectrum Disorder ResearchAttention Deficit Hyperactivity DisorderChild and Adolescent Psychosocial and Emotional Development

Prevalence of neurodevelopmental disorders among US children and adolescents in 2019 and 2020

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Yang, Yiwei, Zhao, Shi, Zhang, Meihui, Xiang, Mi, Zhao, Jian, Chen, Shucheng, Wang, Hui, Han, Lefei +1 more·2022·Frontiers in Psychology
DOI 10.3389/fpsyg.2022.997648PMC PMC9730394
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Abstract

Background: Concerning the changes in the prevalence of neurodevelopmental disorders (NDDs), we estimate the prevalence of attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), intellectual disorder (ID), and learning disability (LD) among US children and adolescents aged 3–17 years in 2019 and 2020. Methods: The study includes 14,983 US children and adolescents aged 3–17 years in 2019 and 2020 from the National Health Interview Survey (NHIS). Parents were interviewed about whether their children ever and/or currently had NDDs diagnosed. Prevalence estimates of NDDs were calculated with a survey-based weighting scheme. Logistic regression models were used to estimate the associations between NDDs prevalence and subgroups. Results: The weighted prevalence of ADHD, ASD, ID, and LD was 8.5% (95% CI: 7.9–9.2%), 2.9% (95% CI: 2.6–3.4%), 1.4% (95% CI: 1.2–1.7%), and 6.4% (95% CI: 5.8–7.0%), respectively. A higher prevalence of ADHD, ASD, ID, and LD was observed in boys, those who ever had anxiety or depression symptoms, those with lower family income, those living in a rented house, ever been bullied, and ever lived with anyone mentally ill. Conclusion: The study found the prevalence of ADHD, ASD, ID, and LD was different by demographics, comorbidity/mental problems, household/parental characteristics, and stressful life events.

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  1. Antshel K. M. Russo N. (2019). Autism spectrum disorders and ADHD: overlapping phenomenology, diagnostic issues, and treatment considerations. Curr. Psychiatry Rep. 21: 34. 10.1007/s11920-019-1020-5 30903299 · DOI · Paper page
  2. Berry-Kravis E. M. Lindemann L. Jønch A. E. Apostol G. Bear M. F. Carpenter R. L. (2018). Drug development for neurodevelopmental disorders: lessons learned from fragile X syndrome. Nat. Rev. Drug Discov. 17 280– 299. 10.1038/nrd.2017.221 29217836 PMC6904225 · DOI · Paper page
  3. Bourgeron T. (2015). From the genetic architecture to synaptic plasticity in autism spectrum disorder. Nat. Rev. Neurosci. 16 551– 563. 10.1038/nrn3992 26289574 · DOI · Paper page
  4. Cairncross M. Miller C. J. (2020). The effectiveness of mindfulness-based therapies for ADHD: a meta-analytic review. J. Attent. Disord. 24 627– 643. 10.1177/1087054715625301 26838555 · DOI
  5. Chandra S. Biederman J. Faraone S. V. (2016). assessing the validity of the age at onset criterion for diagnosing ADHD in DSM-5. J. Attent. Disord. 25 143– 153. 10.1177/1087054716629717 26922806 · DOI
  6. Cortese S. Sun S. Zhang J. Sharma E. Chang Z. Kuja-Halkola R. (2018). Association between attention deficit hyperactivity disorder and asthma: a systematic review and meta-analysis and a Swedish population-based study. Lancet Psychiatry 5 717– 726. 10.1016/S2215-0366(18)30224-4 30054261 · DOI
  7. Cramer S. C. Sur M. Dobkin B. H. O’Brien C. Sanger T. D. Trojanowski J. Q. (2011). Harnessing neuroplasticity for clinical applications. Brain 134 1591– 1609. 10.1093/brain/awr039 21482550 PMC3102236 · DOI · Paper page
  8. Cuartas J. Leventhal T. (2020). Exposure to community violence and children’s mental health: a quasi-experimental examination. Soc. Sci. Med. 246: 112740. 10.1016/j.socscimed.2019.112740 31864176 · DOI
  9. Daniels A. M. Rosenberg R. E. Anderson C. Law J. K. Marvin A. R. Law P. A. (2012). Verification of parent-report of child autism spectrum disorder diagnosis to a web-based autism registry. J. Autism Dev. Disord. 42 257– 265. 10.1007/s10803-011-1236-7 21468770 · DOI
  10. Deater-Deckard K. (2017). Parents’ and children’s ADHD in a family system. J. Abnorm. Child Psychol. 45 519– 525. 10.1007/s10802-017-0276-7 28181060 · DOI
  11. Dillon E. F. Kanne S. Landa R. J. Annett R. Bernier R. Bradley C. (2021). Sex differences in autism: examining intrinsic and extrinsic factors in children and adolescents enrolled in a national ASD cohort. J. Autism Dev. Disord. Online ahead of print. 10.1007/s10803-021-05385-y 34859339 PMC9181723 · DOI
  12. Du Rietz E. Brikell I. Butwicka A. Leone M. Chang Z. Cortese S. (2021). Mapping phenotypic and aetiological associations between ADHD and physical conditions in adulthood in Sweden: a genetically informed register study. Lancet Psychiatry 8 774– 783. 10.1016/S2215-0366(21)00171-1 34242595 PMC8376653 · DOI
  13. Elgar F. J. Gariepy G. Dirks M. Walsh S. D. Molcho M. Cosma A. (2019). Association of early-life exposure to income inequality with bullying in adolescence in 40 countries. JAMA Pediatr. 173: e191181. PMC6515581 31081857
  14. Gibson L. Porter M. (2018). Drinking or smoking while breastfeeding and later cognition in children. Pediatrics 142: e20174266. 10.1542/peds.2017-4266 30061301 · DOI
  15. Gu J. K. Charles L. E. Fekedulegn D. Allison P. Ma C. C. Violanti J. M. (2021). Temporal trends in prevalence of cardiovascular disease (CVD) and CVD risk factors among U.S. older workers: NHIS 2004–2018. Ann. Epidemiol. 55 78– 82. 10.1016/j.annepidem.2020.10.002 33049395 PMC7870519 · DOI
  16. Heissel J. A. Sharkey P. T. Torrats-Espinosa G. Grant K. Adam E. K. (2018). Violence and vigilance: the acute effects of community violent crime on sleep and cortisol. Child Dev. 89 e323– e331. 10.1111/cdev.12889 28741650 PMC5783802 · DOI
  17. Kasparek T. Theiner P. Filova A. (2015). Neurobiology of ADHD from childhood to adulthood: findings of imaging methods. J. Atten. Disord. 19 931– 943. 10.1177/1087054713505322 24097847 · DOI
  18. Khan M. U. G. Naz Z. Khan J. Saba T. Abunadi I. Rehman A. (2021). Cognitive skill enhancement system using neuro-feedback for ADHD patients. CMC-Comp. Mater. Continua 68 2363– 2376. 10.32604/cmc.2021.014550 · DOI
  19. Kim J. H. Kim J. Y. Lee J. Jeong G. H. Lee E. Lee S. (2020). Environmental risk factors, protective factors, and peripheral biomarkers for ADHD: an umbrella review. Lancet Psychiatry 7 955– 970. 10.1016/S2215-0366(20)30312-6 33069318 · DOI · Paper page
  20. Kogan M. D. Vladutiu C. J. Schieve L. A. Ghandour R. M. Blumberg S. J. Zablotsky B. (2018). The prevalence of parent-reported autism spectrum disorder among US children. Pediatrics 142: e20174161. 10.1542/peds.2017-4161 30478241 PMC6317762 · DOI · Paper page
  21. Lai M.-C. Lombardo M. V. Baron-Cohen S. (2014). Autism. Lancet 383 896– 910. 10.1016/S0140-6736(13)61539-1 24074734 · DOI · Paper page
  22. Magiati I. Tay X. W. Howlin P. (2014). Cognitive, language, social and behavioural outcomes in adults with autism spectrum disorders: a systematic review of longitudinal follow-up studies in adulthood. Clin. Psychol. Rev. 34 73– 86. 10.1016/j.cpr.2013.11.002 24424351 · DOI · Paper page
  23. Mowlem F. D. Rosenqvist M. A. Martin J. Lichtenstein P. Asherson P. Larsson H. (2019). Sex differences in predicting ADHD clinical diagnosis and pharmacological treatment. Eur. Child Adolescent Psychiatry 28 481– 489. 10.1007/s00787-018-1211-3 30097723 PMC6445815 · DOI
  24. Nickel K. Maier S. Endres D. Joos A. Maier V. Tebartz (2019). Systematic review: overlap between eating, autism spectrum, and attention-deficit/hyperactivity disorder. Front. Psychiatry 10: 708. 10.3389/fpsyt.2019.00708 31649563 PMC6796791 · DOI
  25. Papi A. Brightling C. Pedersen S. E. Reddel H. K. (2018). Asthma. Lancet 391 783– 800. 10.1016/S0140-6736(17)33311-1 29273246 · DOI
  26. Syed S. Gilbert R. (2019). Parental alcohol misuse has major effects on children’s health and development. BMJ 364: l912. 10.1136/bmj.l912 30833340 · DOI
  27. Thapar A. Cooper M. Rutter M. (2017). Neurodevelopmental disorders. Lancet Psychiatry 4 339– 346. 10.1016/S2215-0366(16)30376-5 27979720 · DOI · Paper page
  28. Visser S. N. Danielson M. L. Bitsko R. H. Holbrook J. R. Kogan M. D. Ghandour R. M. (2014). Trends in the parent-report of health care provider-diagnosed and medicated attention-deficit/hyperactivity disorder: United States, 2003-2011. J. Am. Acad. Child Adolescent Psychiatry 53 34– 46.e2. 10.1016/j.jaac.2013.09.001 24342384 PMC4473855 · DOI · Paper page
  29. Walsh M. J. M. Wallace G. L. Gallegos S. M. Braden B. B. (2021). Brain-based sex differences in autism spectrum disorder across the lifespan: a systematic review of structural MRI, fMRI, and DTI findings. Neuroimage-Clinical 31: 102719. 10.1016/j.nicl.2021.102719 34153690 PMC8233229 · DOI · Paper page
  30. Xu G. Liu B. Sun Y. Du Y. Snetselaar L. G. Hu F. B. (2018). Prevalence of diagnosed type 1 and type 2 diabetes among US adults in 2016 and 2017: population based study. BMJ 362: k1497. 10.1136/bmj.k1497 30181166 PMC6122253 · DOI
  31. Yang W. Liu B. Gao R. Snetselaar L. G. Strathearn L. Bao W. (2021). Association of anemia with neurodevelopmental disorders in a nationally representative sample of US children. J. Pediatrics 228 183– 189.e2. 10.1016/j.jpeds.2020.09.039 33035572 · DOI
  32. Zablotsky B. Maenner M. J. Blumberg S. J. (2019b). Geographic disparities in treatment for children with autism spectrum disorder. Acad. Pediatr. 19 740– 747. 10.1016/j.acap.2019.02.013 30858082 PMC6732019 · DOI
  33. Zablotsky B. Black L. I. (2020). Prevalence of Children Aged 3–17 years with developmental disabilities, by urbanicity: United States, 2015–2018. Natl. Health Stat. Rep. 139, 1– 7. 32510313
  34. Zhang L. M. Ellis R. J. Ma M. Cheung E. O. Hoyt D. B. Bilimoria K. Y. (2020). Prevalence, types, and sources of bullying reported by US general surgery residents in 2019. JAMA 323 2093– 2095. 10.1001/jama.2020.2901 32453357 PMC7251443 · DOI
  35. Zheng Z. Zhang L. Zhu T. Huang J. Qu Y. Mu D. (2016). Association between asthma and autism spectrum disorder: a meta-analysis. PLoS One 11: e0156662. 10.1371/journal.pone.0156662 27257919 PMC4892578 · DOI
  36. Zuvekas S. H. Grosse S. D. Lavelle T. A. Maenner M. J. Dietz P. Ji X. (2021). Healthcare costs of pediatric autism spectrum disorder in the United States, 2003-2015. J. Autism Dev. Disord. 51 2950– 2958. 10.1007/s10803-020-04704-z 33113106 PMC8079509 · DOI

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Sorted by citations

Authors
Yang, Y., Zhao, S., Zhang, M., Xiang, M., Zhao, J., Chen, S., Wang, H., Han, L., & Ran, J.
Affiliations
  • Shanghai Jiao Tong University (CN)
  • Chinese University of Hong Kong (HK)
Corresponding author
  • Han, Lefei
  • Ran, Jinjun
ORCID
Venue
Frontiers in Psychology
Publisher
Frontiers Media SA
Published
2022-11-24
Volume
13
Pages
997648-997648
ISSN
1664-1078 (ISSN-L)
DOI
10.3389/fpsyg.2022.997648
PMC
PMC9730394
OpenAlex
W4309855418
Cited by
76
References
8
Citations by year
2026: 25 · 2025: 29 · 2024: 17 · 2023: 5
FWCI
6.46
Type
journal article
Language
en
Open access
Licence
Locations
  • Frontiers in Psychology (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • PolyU Institutional Research Archive (Hong Kong Polytechnic University) (submittedVersion, cc-by)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • Shanghai Science and Technology Development Foundation (22YF1421100)
  • Shanghai Jiao Tong University
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
  • Health Sciences › Medicine › Psychiatry and Mental health › Attention Deficit Hyperactivity Disorder
  • Social Sciences › Psychology › Clinical Psychology › Child and Adolescent Psychosocial and Emotional Development
Keywords
neurodevelopmental disorders, prevalence, attention deficit hyperactivity disorder, autism spectrum disorder, intellectual disability, learning disabilities, children and adolescents, demographic disparities, comorbid depression and anxiety, bullying, household income, parental mental illness, life events

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