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Updated: Nov 22, 2025

Measuring Neural Mechanisms Underlying Sleep-Dependent Memory Consolidation During Naps in Early Childhood
Published on: October 2, 2019
Longitudinal correlates of sleep duration in young children
Zhiguang Zhang1, Kristi B Adamo2, Nancy Ogden3
1Faculty of Kinesiology, Sport and Recreation, University of Alberta, Edmonton, AB, Canada.
Insights
Young children
Area of Science:
- Pediatric Sleep Research
- Child Development Studies
- Public Health Initiatives
Background:
- Adequate sleep is crucial for young children's development and well-being.
- Factors influencing sleep duration in early childhood require longitudinal investigation.
- Screen time and demographic variables are potential correlates of sleep patterns.
Purpose of the Study:
- To longitudinally examine demographic and screen time correlates of nap, nighttime, and total sleep duration in young children.
- To identify key factors associated with varying sleep durations in toddlers and preschoolers.
- To inform strategies for promoting healthy sleep habits in early childhood.
Main Methods:
- Analysis of data from the Healthy physical AcTive Childcare setting (HATCH) study.
- Inclusion of 206 toddlers and preschoolers (19-60 months) in Canada.
- Longitudinal assessment of child age, screen time, and sleep duration over six months using mixed models.
Main Results:
- Child age was a significant correlate of total, nighttime, and nap sleep duration.
- Parental education, household income, and race/ethnicity were associated with total and nighttime sleep duration.
- Increased screen time (television, video games, total) was linked to shorter nighttime sleep duration.
Conclusions:
- Young children with more screen time, lower family income, less educated parents, or non-Caucasian ethnicity tended to have shorter sleep durations.
- Targeting specific demographic groups and reducing screen time may be effective strategies for improving sleep duration in early childhood.
- Findings highlight the importance of considering socioeconomic and behavioral factors in pediatric sleep health.
Objective:
The primary aim of this study was to longitudinally examine potential demographic and screen time correlates of nap duration, nighttime sleep duration, and total sleep duration in young children over two time points.
Methods:
Data from the supporting Healthy physical AcTive Childcare setting (HATCH) study were analyzed. Participants were 206 toddlers (19-35 months) and preschoolers (36-60 months) in Alberta and Ontario, Canada. Child age, screen time (television, video games), and sleep duration (nap, nighttime) were measured at baseline and six-month follow-up, while other demographic variables were assessed at baseline only using the HATCH parental questionnaire. Mixed models were performed to examine the associations between potential correlates and sleep duration over time.
Results:
In the multiple regression models, significant correlates of total sleep duration (min/d) were child age (months; B = -3.03; 95%CI:-3.88,-2.19) and parental education (bachelor's degree vs. below bachelor level; B = 29.74, 95%CI:7.43,52.06). Significant correlates of nighttime sleep duration (min/d) included child age (B = -0.81; 95CI%:-1.53,-0.10), child race/ethnicity (Caucasian vs. non-Caucasian; B = 15.31; 95%CI:0.38,30.25), household income (>$150,000 vs. <$50,000; B = 32.93, 95%CI:9.80,56.06), television time (B = -0.19, 95%CI:-0.32,-0.05), video games time (B = -0.19, 95%CI: -0.38, -0.01) and total screen time (B = -0.19; 95%CI:-0.29,-0.08). Significant correlates of nap duration (min/d) were child age (B = -2.10; 95%CI:-2.68,-1.51) and race/ethnicity (Caucasian vs. non-Caucasian; B = -13.73; 95%CI:-25.78,-1.68).
Conclusion:
Young children who were non-Caucasian, from lower income families, who had less-educated parents, or who had more screen time tended to have shorter sleep duration. Targeting these demographic groups and screen time appears important for promoting adequate sleep duration in early childhood.
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