Do near-bedtime usage of smartphones and problematic internet usage really impact sleep? A study based on objectively recorded usage data
Objective
Existing research reporting an association between smartphone usage and sleep quality has often utilised subjective self-reported smartphone usage and sleep data. This paper aims to study the associations of objectively collected smartphone near-bedtime usage and problematic internet usage (PIU) with parameters of sleep quality.
Methods
The dataset had 269 (55% Female, 55.13% Adults) participants. From the acquired usage data, the daily averages of sleep duration, sleep distraction, and smartphone usage two hours before sleep were extracted.
Results
The multivariate linear regression showed that the increase in PIU (β = −0.231, p < 0.001) and smartphone usage two hours before sleep (β = −0.246, p < 0.001) led to decrease in sleep duration. Regarding sleep distraction, multivariate linear regression analysis revealed that two hours before sleep was a significant and positive predictor of sleep distraction (β = 0.197, p = 0.003), whereas PIU was not significant.
Conclusion
Longer duration of smartphone usage before sleep and higher PIU were associated with reduced sleep duration and continuity. PIU predicted the possibility of getting distracted while usage before sleep predicted the distraction duration. Our results confirm and elaborate on concerns about technology overuse near bedtime and call for specialised interventions to help healthier technology design and usage styles.
Other Information
Published in: Behaviour & Information Technology
License: http://creativecommons.org/licenses/by/4.0/
See article on publisher's website: https://dx.doi.org/10.1080/0144929x.2023.2279648
Funding
Open Access funding provided by the Qatar National Library.
Qatar National Research Fund (NPRP14C-0916-210015), The Future of Digital Citizenship in Qatar: a Socio-Technical Approach.
History
Language
- English
Publisher
Taylor & FrancisPublication Year
- 2023
License statement
This Item is licensed under the Creative Commons Attribution 4.0 International License.Institution affiliated with
- Hamad Bin Khalifa University
- College of Science and Engineering - HBKU