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Published on: October 2, 2019
The stability of sleep patterns in children 3 to 7 years of age
Rachael W Taylor1, Sheila M Williams2, Victoria L Farmer1
1Department of Medicine, University of Otago, Dunedin, New Zealand.
Insights
Childhood sleep patterns show significant variation, with few children exhibiting stable sleep over time. This research used accelerometers to track sleep duration and quality in young children across several years.
Area of Science:
- Pediatric Sleep Research
- Child Development
- Biomedical Engineering
Background:
- Assessing sleep patterns in children is crucial for understanding developmental health.
- Objective measurement of sleep using accelerometry provides reliable data on duration and quality.
- Longitudinal studies are needed to determine the stability of sleep in early childhood.
Purpose of the Study:
- To evaluate the reliability and stability of sleep duration and quality in young children.
- To utilize repeated accelerometer measurements to track sleep patterns over time.
- To identify factors associated with stable versus unstable sleep patterns in childhood.
Main Methods:
- One hundred ninety-four children wore accelerometers for 5-day periods at multiple ages (3 to 7 years).
- Sleep variables (duration, onset, offset, latency, efficiency, wake after sleep onset) were estimated using the Sadeh algorithm.
- Children were categorized by sleep stability, and demographic/behavioral differences were analyzed.
Main Results:
- Reliable sleep estimates required 4-7 days of accelerometry, with sleep latency needing 11-21 days.
- Year-to-year correlations for most sleep measures were only moderate (r = 0.41-0.51).
- Only 29 children (approx. 15%) were classified as sleep-stable; they were less likely to be from ethnic minorities and had higher physical activity.
Conclusions:
- Childhood sleep patterns exhibit considerable within-week and year-to-year variability.
- Few children demonstrate consistently stable sleep across developmental stages.
- Identifying sleep-stable children may offer insights into the health benefits of consistent sleep.
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.
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