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Perinatal risk factors and first-year vocalizations: influence on preschool language and motor performance

T S Jensen1, B Bøggild-Andersen, J Schmidt

  • 1Department of Neurology, Rigshospitalet, University of Copenhagen, Denmark.

Insights

Infants with neonatal risk factors showed delayed prelinguistic vocalizations, impacting later language and motor skills. Early analysis of infant sounds may identify children at risk for developmental disorders.

Area of Science:

  • Developmental Pediatrics
  • Speech-Language Pathology
  • Neonatology

Background:

  • Neonatal risk factors can impact infant development.
  • Early vocalizations are crucial precursors to language development.
  • Identifying at-risk infants early is vital for timely intervention.

Purpose of the Study:

  • To investigate the relationship between neonatal risk factors and early vocalizations.
  • To determine if early vocalization patterns predict later language and motor outcomes.
  • To explore the potential of infant vocalization analysis for early identification of developmental risks.

Main Methods:

  • Systematic tape-recording of spontaneous vocalizations in infants with and without neonatal risk factors during the first year of life.
  • Comprehensive assessment of language, speech, intelligence, and motor function at six years of age.
  • Statistical analysis comparing vocalization patterns and developmental outcomes between at-risk and control groups.

Main Results:

  • Infants with neonatal risk factors exhibited significantly fewer reduplicated syllables and consonants in their first year.
  • At six years, a higher proportion of at-risk children (6/9) presented with abnormal language test results compared to controls (2/20).
  • Children with abnormal language tests showed poorer motor performance and had fewer consonant and reduplication sounds as infants.

Conclusions:

  • Perinatal risk factors may lead to delays in prelinguistic sound production.
  • Analysis of infant vocalizations can serve as an early indicator for potential language disorders.
  • Early identification through vocalization analysis can facilitate timely support for at-risk children.

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