Digital media use in the 2 h before bedtime is associated with sleep variables in university students
Open accessAbstract
Digital media use is widespread in University students, and use of digital media near bedtime has a broadly negative effect on sleep outcomes. Adequate and good quality sleep is important for physical and mental health, but few studies have rigorously measured both sleep and digital media use. In this study, we investigated whether self-reported sleep patterns were associated with digital media use in a first-year University student (N = 254, 48% male) population. Students tracked their sleep through daily online diaries and provided digital media use data in 15-min blocks for 2 h prior to bedtime on nine occasions. A longer duration of digital media use was associated with reduced total sleep time and later bedtime, while greater diversity of digital media use was associated with increased total sleep time and earlier bedtime. Analysis of activities in the last hour before bedtime indicated that activity type plays a role in digital media's effect on sleep, with computer work, surfing the Internet, and listening to music showing the strongest relationship to multiple sleep variables. These findings have implications for physical and mental health of University students and can inform design of devices to minimize negative effects of digital media on sleep.
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Social media use at bedtime is a strong predictor of poorer sleep outcomes, independent of overall use.
“The timing of use is highly relevant for sleep, as social media use at bedtime is a strong predictor of poorer sleep outcomes, independent of overall use [14,16,17,41,42].”
From Understanding Links Between Social Media Use, Sleep and Mental Health: Recent Progress and Current Challenges (2019) · cites this paper as [41]
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- Authors
- Orzech, K. M., Grandner, M. A., Roane, B. M., & Carskadon, M. A.
- Affiliations
- Brown University (US)
- University of Arizona (US)
- University of South Australia (AU)
- Corresponding author
- Orzech, Kathryn M.
- Venue
- Computers in Human Behavior
- Publisher
- Elsevier BV
- Published
- 2016-02
- Volume
- 55
- Issue
- A
- Pages
- 43-50
- ISSN
- 0747-5632 (ISSN-L)
- PMC
- PMC5279707
- OpenAlex
- W1713890039
- Cited by
- 167
- References
- 65
- Citations by year
- 2026: 12 · 2025: 15 · 2024: 21 · 2023: 24 · 2022: 13 · 2021: 17 · 2020: 22 · 2019: 20 · 2018: 10 · 2017: 6 · 2016: 7
- FWCI
- 11.44
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Computers in Human Behavior (publishedVersion)
- PubMed (publishedVersion)
- Discovery Research Portal (University of Dundee) (publishedVersion)
- PubMed Central (acceptedVersion)
- UniSA Research Outputs Repository (University of South Australia) (submittedVersion)
- Funders
- National Institute of Mental Health (MH079179, MH19927)
- National Heart, Lung and Blood Institute (T32HL007713, EP/L00383X/1)
- Engineering and Physical Sciences Research Council
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Circadian rhythm and melatonin
- Keywords
- digital media use, sleep, bedtime, total sleep time, university students, sleep diary, computer use, internet use, music listening, sleep quality, device design
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