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Sleep Duration and Nocturnal Awakenings in Infants Born with Gestational Risk

Mari Hysing1,2, Ted Reichborn-Kjennerud3,4, Trond Markestad5,6

  • 1Department of Psychosocial Science, Faculty of Psychology, University of Bergen, Bergen, Norway.

Journal of Developmental and Behavioral Pediatrics : JDBP
|January 15, 2019
PubMed

Insights

Infants born with low birth weight (LBW) or small for gestational age (SGA) slept less and woke less often at 6 months. Premature infants slept longer but woke more often by 18 months.

Area of Science:

  • Developmental Pediatrics
  • Sleep Medicine
  • Perinatal Epidemiology

Background:

  • Infants with gestation-related risks, including low birth weight (LBW), small for gestational age (SGA), and prematurity, face significant developmental challenges.
  • Parent-reported sleep patterns are crucial indicators of infant development and well-being.

Purpose of the Study:

  • To investigate distinct sleep duration and nocturnal awakening patterns in infants with gestation-related risks compared to those without.
  • To identify specific sleep differences based on birth weight, gestational age, and SGA status.

Main Methods:

  • Utilized data from the Norwegian Mother and Child Cohort Study, a large population-based longitudinal pregnancy cohort.
  • Collected parental reports of sleep duration and nocturnal awakenings at 6 and 18 months corrected age.
  • Linked birth weight and gestational age data from the Medical Birth Registry of Norway.

Main Results:

  • Infants born SGA and LBW exhibited shorter sleep duration compared to controls.
  • Prematurely born infants demonstrated longer sleep duration at both 6 and 18 months.
  • SGA and LBW infants had fewer nocturnal awakenings at 6 months, while all high-risk groups showed increased awakenings by 18 months.

Conclusions:

  • Gestation-related risks are associated with unique infant sleep patterns.
  • Routine sleep assessment should be integrated into the follow-up care of high-risk infants.
  • Further research is warranted to explore the predictive value and functional significance of these sleep patterns.
Abstract

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