Brain Sciences (Jun 2022)

Defining Expressive Language Benchmarks for Children with Down Syndrome

  • Angela John Thurman,
  • Lauren Bullard,
  • Leona Kelly,
  • Caitlyn Wong,
  • Vivian Nguyen,
  • Anna J. Esbensen,
  • Jennifer Bekins,
  • Emily K. Schworer,
  • Deborah J. Fidler,
  • Lisa A. Daunhauer,
  • Carolyn B. Mervis,
  • C. Holley Pitts,
  • Angela M. Becerra,
  • Leonard Abbeduto

DOI
https://doi.org/10.3390/brainsci12060743
Journal volume & issue
Vol. 12, no. 6
p. 743

Abstract

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Establishing expressive language benchmarks (ELBs) for children with Down syndrome (DS), as developed by Tager-Flusberg et al. for children with autism, is critically needed to inform the development of novel treatments, identify individualized treatment targets, and promote accurate monitoring of progress. In the present study, we assessed ELB assignments in three language domains (phonology, vocabulary, and grammar) for 53 young children with DS (CA range: 2.50–7.99 years) using standardized assessments. The participants were classified into one of four ELB levels (preverbal, first words, word combinations, and sentences) in each language domain. Associations with additional measures of language, chronological age, nonverbal cognition, and verbal short-term memory were considered. Analyses of individual ELB profiles indicated substantial variability across the three language domains, with six different patterns of variation across domains emerging. At the same time, the ELB categories were significantly associated with independent language measures and broader developmental domains. Moreover, ELB changes were observed in a small sample of children with DS reassessed 18–24 months after the initial visit. Results from the present study suggest the procedures outlined by Tager-Flusberg et al. for defining ELBs are a potentially useful tool for describing the language abilities of children with DS.

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