A cross-sectional investigation of disfluencies in typically developing Spanish-English bilingual children

J Fluency Disord. 2023 Sep:77:105988. doi: 10.1016/j.jfludis.2023.105988. Epub 2023 Jun 15.

Abstract

Purpose: This study examined the language skills and the type and frequency of disfluencies in the spoken narrative production of typically developing Spanish-English bilingual children.

Method: A cross-sectional sample of 106 bilingual children (50 boys; 56 girls) enrolled in kindergarten through Grade 4, produced a total of 212 narrative retell language samples in English and Spanish. A specialized fluency coding system was implemented to index the percentage of total (%TD) and stuttering-like disfluencies (%SLD) in each language. Large-scale reference databases were used to classify children's dual language proficiency profiles (balanced, English dominant, Spanish dominant) based on language sample analysis measures of morphosyntax and lexical diversity.

Results: The bilingual Spanish-English children in this study did not demonstrate significant cross-linguistic differences for mean %TD or %SLD. However, the mean %TD and %SLD in both languages exceeded the risk threshold based on monolingual English-speaking norms. English dominant bilingual children demonstrated significantly lower %TD in English than Spanish. Spanish dominant children demonstrated significantly lower %SLD in Spanish than English.

Conclusions: This study included the largest sample size of bilingual Spanish-English children investigated to date from a fluency perspective. The frequency of disfluencies was found to be variable across participants and change dynamically as a function of grade and dual language proficiency profiles, indicating the need for studies that employ larger sample sizes and longitudinal designs.

Keywords: Bilingual children; Disfluencies; Language sample analysis; Narratives; Stuttering.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Child
  • Child Language
  • Cross-Sectional Studies
  • Female
  • Humans
  • Language
  • Male
  • Multilingualism*
  • Stuttering*