A major consequence of the invasion of digital media devices with screens equipped with light-emitting diode (LED) into bedrooms exposes the users to ongoing short wavelength (SWL) lighting during the evening and at night when under natural conditions, long wavelength are dominant. Results of several studies reveal a negative physiological, behavioral, and functional outcome of the exposure to SWL artificial light at night (ALAN) from digital media screens. The aims of our study are to assess the relationships between digital media usage, sleep patterns, subjective sleepiness, and attention abilities in adult Israeli citizens compared with Israeli adolescents. We recruited 280 adult participants using convenience sample method, 49% males and 51% females with an age range of 18–82. The participants filled out self-reporting novel and original questionnaires as follows: demographic, general health evaluation, sleep habits, and difficulties by the Pittsburgh Sleep Quality Index (PSQI) and the Karolinska Sleepiness Scale (KSS), prevalence, and usage patterns of digital media devices. Smartphones are the most used digital media device in the evening and after bedtime (the time one gets to sleep in bed). Israeli adults used smartphones for 30 min and TV for about 15 min after bedtime. We noted that excessive exposure to these devices at nighttime was associated with longer sleep latency (r = 0.192, p < 0.01) and decreased sleep hours (r = − 0.143, p < 0.05). Moreover, we found a negative correlation between attention abilities in the morning and the usage time of digital media at nighttime (r = − 0.155, p < 0.01). Exposure to digital screens at evening and nighttime was positively correlated with subjective sleepiness on the KSS (r = 0.135, p < 0.05, and r = 0.261, p < 0.01). To the best of our knowledge, this study is the first to explore the association between digital media screens usage, sleep, and concentration abilities in the Israeli adult.
Digital screen Sleepiness Concentration Smartphone Israel Adult
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All authors declare no financial or non-financial disclosures
Compliance with ethical standards
The institutional ethical review board at the University of Haifa approved the study. Approval Number: 039/17. Date: 29.1.2017.
Informed consent was obtained from all individual participants included in the study.
Conflict of interest
Green Amit, Prof. Dagan Yaron, and Prof. Haim Abraham declare that they have no conflict of interest.
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;9(12):1291–9.PubMedPubMedCentralGoogle Scholar
Adam EK, Snell EK, Pendry P. Sleep timing and quantity in ecological and family context: a nationally representative time-diary study. J Fam Psychol. 2007;21(1):4–19.CrossRefPubMedGoogle Scholar
Brunborg GS, Mentzoni RA, Molde H, Myrseth H, Skouverøe KJ, Bjorvatn B, Pallesen S. The relationship between media use in the bedroom, sleep habits and symptoms of insomnia. J Sleep Res. 2011;20(4):569–75.CrossRefPubMedGoogle Scholar
Cain N, Gradisar M. Electronic media use and sleep in school-aged children and adolescents: a review. Sleep Med. 2010;11(8):735–42.CrossRefPubMedGoogle Scholar
Mesquita G, Reimao R. Nightly use of computer by adolescents: its effect on quality of sleep. Arq Neuropsiquiatr. 2007;65(2B):428–32.CrossRefPubMedGoogle Scholar
Shochat T, Flint-Bretler O, Tzischinsky O. Sleep patterns, electronic media exposure and daytime sleep-related behaviours among Israeli adolescents. Acta Paediatr Int J Paediatr. 2010;99(9):1396–400.CrossRefGoogle Scholar
Chang AM, Aeschbach D, Duffy JF, Czeisler CA. Evening use of light-emitting eReaders negatively affects sleep, circadian timing, and next-morning alertness. Proc Natl Acad Sci. 2015;112(4):1232–1237.CrossRefPubMedGoogle Scholar
Custers K, Van den Bulck J. Television, viewing. internet use, and self-reported bedtime and rise time in adults: implications for sleep hygiene recommendations from an exploratory cross-sectional study. Behav Sleep Med. 2012;10(2):96–105.CrossRefPubMedGoogle Scholar
Green A, Cohen-Zion M, Haim A, Dagan Y. Evening light exposure to computer screens disrupts human sleep, biological rhythms, and attention abilities. Chronobiol Int. 2017;34(7):855–65.CrossRefPubMedGoogle Scholar
Nathan N, Zeitzer J. A survey study of the association between mobile phone use and daytime sleepiness in California high school students. BMC Public Health. 2013;13(1):840.CrossRefPubMedPubMedCentralGoogle Scholar
Figueiro MG, Wood B, Plitnick B, Rea MS. The impact of light from computer monitors on melatonin levels in college students. Neuroendocrinol Lett. 2011;32(2):158–63.PubMedGoogle Scholar
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;44(2):237–40.CrossRefPubMedGoogle Scholar
Higuchi S, Motohashi Y, Liu Y, Maeda A. Effects of playing a computer game using a bright display on presleep physiological variables, sleep latency, slow wave sleep and REM sleep. J Sleep Res. 2005;14(3):267–73.CrossRefPubMedGoogle Scholar
Grønli J, Byrkjedal IK, Bjorvatn B, Nødtvedt O, Hamre B, Pallesen S. Reading from an iPad or from a book in bed: The impact on human sleep. A randomized controlled crossover trial. Sleep Med. 2016;21:86–92.CrossRefPubMedGoogle Scholar
Cajochen C, Frey S, Anders D, Späti J, Bues M, Pross A, Roenneberg T. Evening exposure to a light-emitting diodes (LED)-backlit computer screen affects circadian physiology and cognitive performance. J Appl Physiol. 2011;110(5):1432–8.CrossRefPubMedGoogle Scholar
Sroykham W, Wongsawat Y. Effects of LED-backlit computer screen and emotional self-regulation on human melatonin production. In: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. 2013; pp. 1704–1707.Google Scholar
Dorofaeff TF, Denny S. Sleep and adolescence. Do New Zealand teenagers get enough? J Pediatr Child Health. 2006;42(9):515–20.CrossRefGoogle Scholar
Knutson KL, Lauderdale DS. sociodemographic and behavioral predictors of bed time and wake time among US adolescents aged 15 to 17 years. J Pediatr. 2009;154(3):426–30.CrossRefPubMedGoogle Scholar
Van den Bulck J. Television viewing, computer game playing, and Internet use and self-reported time to bed and time out of bed in secondary-school children. Sleep. 2004;27(1):101–4.CrossRefPubMedGoogle Scholar
Van den Bulck J. Adolescent use of mobile phones for calling and for sending text messages after lights out: results from a prospective cohort study with a one-year follow-up. Sleep. 2007;9:1220–3.CrossRefGoogle Scholar
Wolfson AR, Spaulding NL, Dandrow C, Baroni EM. Middle school start times: the importance of a good night’s sleep for young adolescents. Behav Sleep Med. 2007;5(3):194–209.CrossRefPubMedGoogle Scholar
Stewart K, Park Choi H. PC-Bang (Room) culture: a study of Korean College students’ private and public use of computers and the internet. Trends Commun. 2003;11(1):61–77.CrossRefGoogle Scholar
Suganuma N, Kikuchi T, Yanagi K, Yamamura S, Morishima H, Adachi H, et al. Sleep biological. Rhythms. 2007;5(3):204–14.Google Scholar
Buysse DJ, Reynolds CF, Monk TH, Berman SR, Kupfer DJ III, Kupfer DJ. The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989;28(2):193–213.CrossRefPubMedGoogle Scholar
Shochat T, Tzischinsky O, Oksenberg A, Peled R. Validation of the Pittsburgh sleep quality index Hebrew translation (PSQI-H) in a sleep clinic sample. Israel Med Assoc J. 2007;9(12):853–6.Google Scholar
Åkerstedt T, Gillberg M. Subjective and objective sleepiness in the active individual. Int J Neurosci. 1990;52(1–2):29–37.CrossRefPubMedGoogle Scholar
Gillberg M, Kecklund G, Akerstedt T. Relations between performance and subjective ratings of sleepiness during a night awake. Sleep. 1994;17(3):236–41.CrossRefPubMedGoogle Scholar
Green A, Cohen-Zion M, Haim A, Dagan Y. Comparing the response to acute and chronic exposure to short wavelength lighting emitted from computer screens. Chronobiology International. Published online: 07 Nov 2017. https://doi.org/10.1080/07420528.2017.1387555.
Blask DE. Melatonin, sleep disturbance and cancer risk. Sleep disturbance and cancer risk. Sleep Med Rev. 2009;13(4):257–64.CrossRefPubMedGoogle Scholar
Brainard GC, Hanifin JP, Greeson JM, Byrne B, Glickman G, Gerner E, Rollag MD. Action spectrum for melatonin regulation in humans: evidence for a novel circadian photoreceptor. J Neurosci. 2001;21(16):6405–12.CrossRefPubMedGoogle Scholar
Bunnel DE, Triber SP, Phillips NH, Berger RJ. Effects of evening bright light exposure on melatonin, body temperature and sleep. J Sleep Res. 1992;1(1):17–23.CrossRefGoogle Scholar
Chang AM, Santhi N, St Hilaire M, Gronfier C, Bradstreet DS, Duffy JF, Czeisler CA. Human responses to bright light of different durations. J Physiol. 2012;590(13):3103–12.CrossRefPubMedPubMedCentralGoogle Scholar
Lewy AJ, Wehr TA, Goodwin FK, Newsome DA, Markey SP. Light suppresses melatonin secretion in humans. Science. 1980;210(4475):1267–9.CrossRefPubMedGoogle Scholar
Skene DJ, Lockley SW, Thapan K, Arendt J. Effects of light on human circadian rhythms. Reprod Nutr Dev. 1999;39(3):295–304.CrossRefPubMedGoogle Scholar
Cho YM, Ryu SH, Lee BR, Kim KH, Lee E, Choi J. Effects of artificial light at night on human health: a literature review of observational and experimental studies applied to exposure assessment. Chronobiol Int. 2015;32(9):1294–310.CrossRefPubMedGoogle Scholar
Haim A, Portnov BA. Effects of light pollution on animal daily rhythms and seasonality: ecological consequences. Light pollution as a new risk factor for human breast and prostate cancers. 2013; pp. 1–168 (Published by Springer Netherlands).Google Scholar