Abstract
Sleep is essential for the health and well-being. Less overall sleep, as well as reduced sleep duration and poor quality of sleep leads to chronic disease, including mental health issues. Measurements of sleep include subjective and objective methods. Population level measurement of sleep indicators is a challenging task for public health officials. Alternative to traditional data collection by survey method, data from smart homes including Internet of Things have the potential to reveal many insights about sleep. Our objective was to calculate sleep duration, quality and effect of geographical location on the sleep parameters. In this project, Donate Your Data, a data sharing program for research from ecobee was utilized for calculating population level health indicators. Using data from two pilot studies and Donate Your Data, this project analyzed and measured population level health indicators for sleep in Canada. The Spearman’s Correlation coefficient between Fitbit steps and total number of motion sensors activated was 0.8 with p<0.0001. Average duration of sleep hours for Canada measured as 7.2 hours at the individual level and 7.9 hours at the household level, compared to 7.3 hours from the Public Health Agency of Canada’s PASS indicator. This project also calculated proportion of population bedtime, wake up time, amount of disturbed sleep, time trend, as well as geographical variation across Canada.
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