Predictors of Changes in Sleep Duration in Dutch Primary Schoolchildren: the ChecKid Study

Nina L Komrij1, Maartje M van Stralen2, Vincent Busch3

  • 1Department of Health Sciences, Faculty of Science, Amsterdam Public Health Research Institute, Vrije Universiteit, Amsterdam, The Netherlands.

Insights

Childhood sleep duration is declining. Older boys, increased screen time, and lower parental education predict decreased sleep in Dutch schoolchildren, informing interventions.

Area of Science:

  • Pediatric Sleep Medicine
  • Child Health and Well-being
  • Longitudinal Cohort Studies

Background:

  • Healthy sleep duration is crucial for child development and long-term health.
  • A documented decline in children's sleep duration necessitates understanding its predictors.
  • Limited data exists on factors influencing changes in child sleep duration over time.

Purpose of the Study:

  • To identify individual (lifestyle), social, cultural, and living condition factors associated with changes in sleep duration among Dutch primary schoolchildren.
  • To analyze how changes in these factors correlate with observed changes in children's sleep duration.

Main Methods:

  • Utilized data from the ChecKid study, a dynamic cohort of 4-13-year-old children in Zwolle, Netherlands.
  • Employed multivariable linear regression to analyze associations between changes in sleep duration and various factors.
  • Included factors such as age, sex, physical activity, screen behavior, parental rules, ethnicity, parental education, and bedroom environment.

Main Results:

  • Mean sleep duration decreased from 11.4 to 11.0 hours/night between 2009 and 2012.
  • Older children, boys, and those with increased screen use (after dinner, computer/game consoles) showed greater sleep duration decline.
  • Lower parental education was also associated with a greater decrease in child sleep duration.

Conclusions:

  • This study provides novel insights into predictors of declining sleep duration in primary schoolchildren.
  • Findings highlight specific demographic and lifestyle factors linked to reduced sleep.
  • Results can guide the development of targeted interventions to promote healthy sleep habits in children.
Abstract

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