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Expressive Dominant Versus Receptive Dominant Language Patterns in Young Children: Findings from the Study to Explore Early Development

  • D. B. ReinhartsenEmail author
  • A. L. Tapia
  • L. Watson
  • E. Crais
  • C. Bradley
  • J. Fairchild
  • A. H. Herring
  • J. Daniels
Original Paper

Abstract

We examined language profiles of 2571 children, 30–68 months old, with autism spectrum disorder (ASD), other developmental disabilities (DD), and typical development from the general population (POP). Children were categorized as expressive dominant (ED), receptive dominant (RD), or nondominant (ND). Within each group, the ED profile was the least frequent. However, children in the ASD group were more likely to display an ED profile than those in the DD or POP groups, and these children were typically younger, had lower nonverbal cognitive skills, and displayed more severe social-affect symptoms of ASD compared to their peers with RD or ND profiles. These findings have research and clinical implications related to the focus of interventions targeting young children with ASD and other DDs.

Keywords

Autism spectrum disorder Expressive language Receptive language Mullen Scales of Early Learning 

Notes

Acknowledgments

This work was supported by six cooperative agreements from the Centers for Disease Control and Prevention (Cooperative Agreements Numbers U10DD000180, U10DD000181, U10DD000182, U10DD000183, U10DD000184, and U10DD000498). The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention.

Author Contributions

DBR, ALT, LW, EC, AHH conceived and designed the analysis; DBR, CB collected the data; ALT, JD contributed data or analysis tools; ALT performed the analysis; DBR, ALT, LW, EC, CB, JF, JD wrote the paper.

Supplementary material

10803_2019_3999_MOESM1_ESM.docx (33 kb)
Supplementary material 1 (DOCX 33 kb)

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  • D. B. Reinhartsen
    • 1
    • 9
    Email author
  • A. L. Tapia
    • 2
  • L. Watson
    • 3
  • E. Crais
    • 3
  • C. Bradley
    • 4
  • J. Fairchild
    • 1
    • 7
  • A. H. Herring
    • 5
    • 8
  • J. Daniels
    • 6
  1. 1.Carolina Institute for Developmental DisabilitiesUniversity of North Carolina at Chapel HillChapel HillUSA
  2. 2.Department of Biostatistics, Gillings School of Global Public HealthUniversity of North Carolina at Chapel HillChapel HillUSA
  3. 3.Division of Speech and Hearing SciencesUniversity of North Carolina at Chapel HillChapel HillUSA
  4. 4.Department of Epidemiology, Gillings School of Global Public HealthUniversity of North Carolina at Chapel HillChapel HillUSA
  5. 5.Department of Biostatistics, Gillings School of Global Public Health, and Carolina Population CenterUniversity of North Carolina at Chapel HillChapel HillUSA
  6. 6.Departments of Epidemiology & Maternal and Child HealthUniversity of North Carolina at Chapel HillChapel HillUSA
  7. 7.Cincinnati Children’s Hospital Medical CenterCincinnatiUSA
  8. 8.Statistical Science & Duke Global Health InstituteDuke UniversityDurhamUSA
  9. 9.Carolina Institute for Developmental DisabilitiesCarrboroUSA

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