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DOI: 10.5935/1984-0063.20200128
The impact of bedtime technology use on sleep quality and excessive daytime sleepiness in adults
ABSTRACT
Objectives: There have only been a few studies on electronic device use and sleep in adult populations, so we sought to investigate the impact of bedtime technology use on sleep quality and excessive daytime sleepiness (EDS) through a population-wide survey of Saudi Arabian adults.
Material and Methods: This cross-sectional survey of 10,106 Saudi Arabian adults gathered data on the number and frequency of electronic device use (smartphones, tablets, computers, televisions, radios, and music players) at bedtime, sleep quality, and EDS as measured by the Epworth sleepiness scale. Associations between electronic device number and frequency of use and sleep-related outcomes were evaluated using binary logistic regression.
Results: Twenty-eight percent and 9.7% of respondents reported “fairly” or “very bad” sleep quality in the preceding month, respectively. 95.1% of respondents had smartphones in their bedrooms, which were used regularly (a few nights a week, every or almost every night) by 80.7% of respondents. The number of devices in the bedroom had little effect on sleep quality parameters and EDS, but regular use of almost all devices was associated with “bad” or “very bad” sleep quality (odds ratios (ORs) 1.32-2.12); smartphone or tablet use was associated with sleep latency >30 minutes (smartphones OR 1.98, 95% CI: 1.51-2.60; p<0.0001; tablets OR 1.44, 95% CI: 1.05-1.99; p<0.05). Electronic device use was associated with a 1.3-1.9-fold risk of moderate to severe EDS.
Discussion: This large study strengthens the limited evidence in adults that electronic device use during bedtime usually reserved for sleep impacts sleep quality. Sleep hygiene advice must be updated to include limiting electronic device use in the bedroom.
Keywords:
Epworth Sleepiness Scale - Electronic Device - Excessive Daytime Sleepiness - Sleep Hygiene - SmartphoneETHICAL APPROVAL
This project was reviewed by the internal review board (IRB) of Imam Mohammad Ibn Saud Islamic University (IMSIU).
Sources of funding
None.
Publikationsverlauf
Eingereicht: 27. November 2020
Angenommen: 19. März 2021
Artikel online veröffentlicht:
01. Dezember 2023
© 2023. Brazilian Sleep Association. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)
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REFERENCES
- 1 Chanchlani N. Health consequences of shift work and insufficient sleep. BMJ. 2017 Feb;356:i6599. DOI: https://doi.org/10.1136/sbmj.i6599
- 2 Fernandez-Mendoza J, Vgontzas AN, Kritikou I, Calhoun SL, Liao D, Bixler EO. Natural history of excessive daytime sleepiness: role of obesity, weight loss, depression, and sleep propensity. Sleep. 2015 Mar;38(3):351-60. DOI: https://doi.org/10.5665/sleep.4488
- 3 Hasler G, Buysse DJ, Gamma A, Ajdacic V, Eich D, Rössler W, et al. Excessive daytime sleepiness in young adults: a 20-year prospective community study. J Clin Psychiatry. 2005 Apr;66(4):521-9. DOI: https://doi.org/10.4088/jcp.v66n0416
- 4 Centers for Disease Control and Prevention (CDC). Drowsy driving - 19 states and the District of Columbia, 2009-2010. MMWR Morb Mortal Wkly Rep. 2013 Jan;61(51-52):1033-7.
- 5 Metlaine A, Leger D, Choudat D. Socioeconomic impact of insomnia in working populations. Ind Health. 2005;43(1):11-9. DOI: https://doi.org/10.2486/indhealth.43.11
- 6 Alshobaili FA, AlYousefi NA. The effect of smartphone usage at bedtime on sleep quality among Saudi non-medical staff at King Saud University Medical City. J Family Med Prim Care. 2019 Jun;8(6):1953-7. DOI: https://doi.org/10.4103/jfmpc.jfmpc_269_19
- 7 Bhat S, Pinto-Zipp G, Upadhyay H, Polos PG. “To sleep, perchance to tweet”: in-bed electronic social media use and its associations with insomnia, daytime sleepiness, mood, and sleep duration in adults. Sleep Health. 2018 Apr;4(2):166-73. DOI: https://doi.org/10.1016/j.sleh.2017.12.004
- 8 Carter B, Rees P, Hale L, Bhattacharjee D, Paradkar MS. Association between portable screen-based media device access or use and sleep outcomes: a systematic review and meta-analysis. JAMA Pediatr. 2016 Dec;170(12):1202-8. DOI: https://doi.org/10.1001/jamapediatrics.2016.2341
- 9 Exelmans L, Van Den Bulck J. Bedtime mobile phone use and sleep in adults. Soc Sci Med. 2016 Jan;148:93-101. DOI: https://doi.org/10.1016/j.socscimed.2015.11.037
- 10 Gradisar M, Wolfson AR, Harvey AG, Hale L, Rosenberg R, Czeisler CA. The sleep and technology use of Americans: findings from the National Sleep Foundation’s 2011 Sleep in America poll. J Clin Sleep Med. 2013 Dec;9(12):1291-9. DOI: https://doi.org/10.5664/jcsm.3272
- 11 Lastella M, Rigney G, Browne M, Sargent C. Electronic device use in bed reduces sleep duration and quality in adults. Sleep Biol Rhythms. 2020 Jan;18:121-9.
- 12 Saling LL, Haire M. Are you awake? Mobile phone use after lights out. Comput Hum Behav. 2016 Nov;64:932-7.
- 13 Heo JY, Kim K, Fava M, Mischoulon D, Papakostas GI, Kim MJ, et al. Effects of smartphone use with and without blue light at night in healthy adults: a randomized, double-blind, cross-over, placebo-controlled comparison. J Psychiatr Res. 2017 Apr;87:61-70. DOI: https://doi.org/10.1016/j.jpsychires.2016.12.010
- 14 Gregory AM, Sadeh A. Annual research review: sleep problems in childhood psychiatric disorders--a review of the latest science. J Child Psychol Psychiatry. 2016 Mar;57(3):296-317. DOI: https://doi.org/10.1111/jcpp.12469
- 15 Cain N, Gradisar M. Electronic media use and sleep in school-aged children and adolescents: a review. Sleep Med. 2010 Sep;11(8):735-42. DOI: https://doi.org/10.1016/j.sleep.2010.02.006
- 16 Tavernier R, Willoughby T. Sleep problems: predictor or outcome of media use among emerging adults at university?. J Sleep Res. 2014 Feb;23(4):389-96. DOI: https://doi.org/10.1111/jsr.12132
- 17 Alshareef S. The impact of social media volume and addiction on medical student sleep quality and academic performance: a cross-sectional observational study. Imam J Appl Sci. 2017 Jul/Dec;1(2):81-94.
- 18 AlShareef SM. Occupational outcomes associated with sleep quality and excessive daytime sleepiness: results from a national survey. Nat Sci Sleep. 2020 Oct;2020:875-82. DOI: https://doi.org/10.2147/NSS.S271154
- 19 AlShareef SM. Excessive daytime sleepiness and associations with sleep-related motor vehicle accidents: results from a nationwide survey. Sleep Breath. 2020 Nov 26; [Epub ahead of print]. DOI: https://doi.org/10.1007/s11325-020-02260-5
- 20 Ahmed AE, Fatani A, Al-Harbi A, Al-Shimemeri A, Ali YZ, Baharoon S, et al. Validation of the Arabic version of the Epworth sleepiness scale. J Epidemiol Glob Health. 2014 Dec;4(4):297-302. DOI: https://doi.org/10.1016/j.jegh.2014.04.004
- 21 Johns MW. A new method for measuring daytime sleepiness: the Epworth sleepiness scale. Sleep. 1991 Nov;14(6):540-5. DOI: https://doi.org/10.1093/sleep/14.6.540
- 22 Dormann CF, Elith J, Bacher S, Buchmann C, Carl G, Carré G, et al. Collinearity: a review of methods to deal with it and a simulation study evaluating their performance. Ecography. 2013 Jan;36(1):27-46.
- 23 Kolla BP, He JP, Mansukhani MP, Frye MA, Merikangas K. Excessive sleepiness and associated symptoms in the U.S. adult population: prevalence, correlates, and comorbidity. Sleep Health. 2020 Feb;6(1):79-87. DOI: https://doi.org/10.1016/j.sleh.2019.09.004
- 24 Adams RJ, Appleton SL, Taylor AW, Gill TK, Lang C, McEvoy RD, et al. Sleep health of Australian adults in 2016: results of the 2016 Sleep Health Foundation national survey. Sleep Health. 2017 Feb;3(1):35-42. DOI: https://doi.org/10.1016/j.sleh.2016.11.005
- 25 Khubchandani J, Price JH. Short sleep duration in working American adults, 2010-2018. J Community Health. 2020;45(2):219-27. DOI: https://doi.org/10.1007/s10900-019-00731-9
- 26 Taylor K, Silver L. Smartphone ownership is growing rapidly around the world, but not always equally. Washington, DC: Pew Research Center; 2019.
- 27 Wood B, Rea MS, Plitnick B, Figueiro MG. Light level and duration of exposure determine the impact of self-luminous tablets on melatonin suppression. Appl Ergon. 2013 Mar;44(2):237-40. DOI: https://doi.org/10.1016/j.apergo.2012.07.008
- 28 Ayaki M, Hattori A, Maruyama Y, Nakano M, Yoshimura M, Kitazawa M, et al. Protective effect of blue-light shield eyewear for adults against light pollution from self-luminous devices used at night. Chronobiol Int. 2016 Jan;33(1):134-9. DOI: https://doi.org/10.3109/07420528.2015.1119158
- 29 Harvey AG, Tang NKY. (Mis)perception of sleep in insomnia: a puzzle and a resolution. Psychol Bull. 2012;138(1):77-101. DOI: https://doi.org/10.1037/a0025730
- 30 Mundi I. Saudi Arabia demographics profile 2018. Index Mundi [Internet]. 2019; [access in ANO Mês dia]. Available from: http://www.indexmundi.com/saudi_arabia
- 31 Kuppermann M, Lubeck DP, Mazonson PD, Patrick DL, Stewart AL, Buesching DP, et al. Sleep problems and their correlates in a working population. J Gen Intern Med. 1995 Jan;10(1):25-32. DOI: https://doi.org/10.1007/BF02599573
- 32 Philip P, Leger D, Taillard J, Quera-Salva MA, Niedhammer I, Mosqueda JG, et al. Insomniac complaints interfere with quality of life but not with absenteeism: respective role of depressive and organic comorbidity. Sleep Med. 2006 Oct;7(7):585-91. DOI: https://doi.org/10.1016/j.sleep.2006.04.006