Accepted for/Published in: JMIR mHealth and uHealth
Date Submitted: Mar 16, 2021
Date Accepted: Feb 3, 2022
Usability of Smart Home Thermostat to Evaluate the Impact of Weekdays and Seasons on Sleep Patterns and Indoor Stay: Observational Study
ABSTRACT
Background:
Sleep behaviour and time spent at home are important determinants of human health. Research on sleep patterns has traditionally relied on self-reported data. This methodology suffers from bias and population-level data collection is challenging. Advances in Smart Home technology and the Internet of Things (IoT) have the potential to overcome these challenges to behavioural monitoring.
Objective:
The objective of this study is to evaluate the use of smart home thermostat data to evaluate household sleep patterns and the time spent at home, and how these behaviours are influenced by weekday, seasonal and seasonal weekday variations.
Methods:
The 2018 ecobee "Donate your Data" dataset for 481 North American households was collected for use in this study. Daily sleep cycles were identified based on sensor activation and used to quantify sleep time, wake-up time, sleep duration, and time spent at home. Each household's record was divided into different subsets based on seasonal, weekday, and seasonal weekday scales.
Results:
Overall, our results indicate that sleep parameters (sleep time, wake-up time, and sleep duration) were significantly influenced by the day of the week but were not strongly affected by season. In contrast, time spent at home was dependent on both weekdays and the season.
Conclusions:
This is the first study to utilize smart home thermostat data to monitor sleep parameters and time spent at home and their dependence on weekdays, seasonal, and seasonal weekday variations at the population level. This type of analysis can influence and report on public health policy at the population level.
Citation
Request queued. Please wait while the file is being generated. It may take some time.
Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.