Literature DB >> 25524316

The stability of sleep patterns in children 3 to 7 years of age.

Rachael W Taylor1, Sheila M Williams2, Victoria L Farmer3, Barry J Taylor4.   

Abstract

OBJECTIVE: To determine the reliability and stability of sleep (duration and quality) over time in young children using repeated accelerometer estimates of sleep. STUDY
DESIGN: One hundred ninety-four children wore Actical accelerometers for 5-day periods (24-hour monitoring) at 3, 4, 5, 5.5, 6.5, and 7 years of age. Sleep variables of interest (duration, onset, offset, latency, efficiency, and wake after sleep onset) were estimated using the Sadeh algorithm within a commercial data reduction program (ActiLife). Children were divided into various groups according to sleep stability, and demographic and behavioral differences were compared across groups by ANOVA.
RESULTS: All measures of sleep quantity and quality required 4-7 days of accelerometry to obtain acceptable reliability estimates, except morning wake time (2-4 days), and sleep latency (11-21 days). Average year-to-year correlations were only moderate for most measures (r = 0.41-0.51), but considerably higher than those observed for sleep latency, efficiency, and wake after onset (r = 0.15-0.24). Only 29 children were classified as sleep-stable over the 4 years. These children were less likely to be from ethnic minority groups (P = .017) and had higher levels of day-time physical activity (P = .032).
CONCLUSIONS: Sleep patterns in children are not particularly stable, showing considerable variation both within a week and across the years. Few children exhibit stable sleep patterns over time, yet characterization of these children might provide further information regarding how sleep benefits health.
Copyright © 2015 Elsevier Inc. All rights reserved.

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Year:  2014        PMID: 25524316     DOI: 10.1016/j.jpeds.2014.11.014

Source DB:  PubMed          Journal:  J Pediatr        ISSN: 0022-3476            Impact factor:   4.406


  16 in total

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2.  Quantity versus quality of objectively measured sleep in relation to body mass index in children: cross-sectional and longitudinal analyses.

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Journal:  Int J Obes (Lond)       Date:  2017-09-08       Impact factor: 5.095

4.  Associations Between Objective Sleep Behaviors and Blood Glucose Variability in Young Children With Type 1 Diabetes.

Authors:  Alexandra D Monzon; Arwen M Marker; Amy E Noser; Mark A Clements; Susana R Patton
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7.  Reliability of GENEActiv accelerometers to estimate sleep, physical activity, and sedentary time in children.

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8.  Sleep duration, physical activity, and caloric intake are related to weight status in Mexican American children: a longitudinal analysis.

Authors:  S M Martinez; E Blanco; J M Tschann; N F Butte; M A Grandner; L A Pasch
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9.  Exploring Accelerometer Versus Self-Report Sleep Assessment in Youth With Concussion.

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10.  Sibling sleep-What can it tell us about parental sleep reports in the context of autism?

Authors:  A J Schwichtenberg; Tara Hensle; Sarah Honaker; Meghan Miller; Sally Ozonoff; Thomas Anders
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