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Does preterm period sleep development predict early childhood growth trajectories?
- Source :
- Journal of perinatology : official journal of the California Perinatal Association
- Publication Year :
- 2016
-
Abstract
- Objective The current study examined the relationship between sleep state development across the preterm and early post-term periods and subsequent growth trajectories from 1 to 27 months corrected age. Study Design Retrospective analysis of data collected prospectively from 111 preterm infants (≤ 34 weeks gestation) who participated in a multi-site longitudinal study. Separate longitudinal parallel process models were calculated for each sleep state (active and quiet sleep) and growth (weight, length, and BMI z scores) variable to estimate the associations between their developmental trajectories. Results Significant associations were identified between the trajectories of quiet sleep and weight, active sleep and weight, quiet sleep and BMI, and active sleep and BMI. No statistically meaningful associations were identified between the trajectories of early childhood length and the preterm sleep states. Conclusions Faster preterm period sleep development appears to predict more favorable early childhood growth trajectories, particularly for weight, indicating preterm sleep may be an important biomarker for subsequent growth outcomes.
- Subjects :
- Male
medicine.medical_specialty
Longitudinal study
Pediatrics
Gestational Age
Article
Body Mass Index
03 medical and health sciences
0302 clinical medicine
Child Development
030225 pediatrics
Intensive Care Units, Neonatal
medicine
Humans
Infant, Very Low Birth Weight
Neonatology
Early childhood
Longitudinal Studies
Prospective Studies
Prospective cohort study
Retrospective Studies
business.industry
Body Weight
Infant, Newborn
Obstetrics and Gynecology
Gestational age
Infant
Retrospective cohort study
Sleep in non-human animals
Body Height
Child, Preschool
Infant, Extremely Premature
Pediatrics, Perinatology and Child Health
Female
Sleep Stages
business
Body mass index
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 14765543
- Volume :
- 37
- Issue :
- 9
- Database :
- OpenAIRE
- Journal :
- Journal of perinatology : official journal of the California Perinatal Association
- Accession number :
- edsair.doi.dedup.....346be8dedbcd7391f38ca30deb4374ee