Research Scientist Dr. Jean-Philippe Chaput is lead author on a paper, “Sleep duration estimates of Canadian children and adolescents,” that was recently published in the Journal of Sleep Research. Citation details and a summary of the paper are below.

Chaput JP, Janssen I. Sleep duration estimates of Canadian children and adolescents. J Sleep Res. 2016 Oct;25(5):541-548.

Abstract

The objective of this study was to provide contemporary sleep duration estimates of Canadian school-aged children and adolescents and to determine the proportion adhering to the sleep duration recommendations. This study included 24 896 participants aged 10-17 years from the 2013/2014 Canadian Health Behaviour in School-aged Children study (HBSC), a nationally representative cross-sectional study. Bedtime and wake-up times were reported by participants and their sleep duration was calculated. Participants were then classified as having a sleep duration that met the recommended range (9-11 h per night for 10-13-year-olds or 8-10 h per night for 14-17-year-olds), a sleep duration that was shorter than the recommended range or a sleep duration that was longer than the recommended range. An estimated 68% of children aged 10-13 years and 72% of adolescents aged 14-17 years sleep for the recommended amount per night when averaged across all days of the week. Short sleepers represent 31% of school-aged children and 26% of adolescents. Long sleepers are rare (<2% overall). Children and adolescents sleep ~1 h more at weekends compared to weekdays. Approximately 5% of the participants typically went to bed after midnight on weekdays and 31% did so at weekends; these proportions reached 11 and 45%, respectively, within 16-17-year-olds. In general, differences in sleep times between boys and girls are small and not clinically significant. In conclusion, almost one-third of Canadian children and adolescents sleep less than the recommended amount. Public health efforts should continue to monitor the sleep of Canadian children and adolescents and identify subgroups of the population more likely to be affected by insufficient sleep.