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Preterm EEG: A Multimodal Neurophysiological Protocol
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Preterm EEG: A Multimodal Neurophysiological Protocol

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Does preterm period sleep development predict early childhood growth trajectories?

M R Winkler1, J Park2, W Pan1

  • 1Duke University, School of Nursing, Durham, NC, USA.

Journal of Perinatology : Official Journal of the California Perinatal Association
|June 16, 2017
PubMed

Insights

Early sleep development in preterm infants predicts better weight and BMI outcomes. Faster sleep progression in the preterm period is linked to improved early childhood growth, highlighting sleep as a key biomarker.

Area of Science:

  • Neonatal development
  • Pediatric growth studies
  • Sleep science

Background:

  • Sleep state development is crucial for infant neurodevelopment.
  • Understanding early growth trajectories is vital for long-term health.
  • Preterm infants exhibit unique developmental patterns compared to full-term infants.

Purpose of the Study:

  • To investigate the association between sleep state development in preterm infants and their subsequent growth.
  • To analyze growth trajectories (weight, length, BMI) from 1 to 27 months corrected age.
  • To determine if early sleep patterns serve as a biomarker for later growth.

Main Methods:

  • Retrospective analysis of prospectively collected data from 111 preterm infants (gestational age ≤34 weeks).
  • Longitudinal parallel process models were used to assess sleep states (active and quiet sleep) and growth parameters.
  • Statistical analysis focused on the developmental trajectories of sleep and growth variables.

Main Results:

  • Significant positive associations were found between quiet sleep trajectories and weight.
  • Active sleep trajectories were significantly associated with weight and Body Mass Index (BMI) Z-scores.
  • No significant associations were observed between preterm sleep states and length trajectories.

Conclusions:

  • Accelerated sleep state development during the preterm period is associated with improved early childhood growth, particularly weight.
  • Preterm sleep patterns may function as an important biomarker for predicting subsequent growth outcomes.
  • These findings underscore the significance of monitoring sleep development in preterm infants for assessing growth potential.
Abstract

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