Effect of using smartphone before bedtime and sleep quality of middle-adulthood officers at Chulalongkorn University
Keywords:
Sleep quality, smartphone, bedtime, middle-adulthood, PSQIAbstract
Background: Nowadays, smartphone has become part of everyday life of the people and tend to be more active continuously. However, it causes many adverse effects, both physically and mentally including potentially resulting in poor sleep quality.
Objective: The aim of this study was to investigate the effect of using smartphone before bedtime and sleep quality among the middle-adulthood university officers at Chulalongkorn University.
Methods: This cross-sectional descriptive study was conducted among middle-adulthood officers at Chulalongkorn University, aged between 45 - 64 years from 5 faculties within the university. The data were collected by using self-reported questionnaires including general characteristics and covariate factors, behavior of smartphone usage before bedtime, suanprung stress test-20 (SPST-20), and Thai version of Pittsburgh Sleep Quality Index (T-PSQI). The sleep quality was presented by number and percentage. The associated factors were analyzed by Chi-square test, Fisher’s exact test and the potential predictors of poor sleep quality were analyzed by multivariate logistic regression analysis.
Results: There were 350 participants in this study, 56.0% of them were female with an average age of 49.5 2.9 years old: 23.1% of them had poor sleep quality. The associated factors of poor sleep quality were included male, age > 50 years, the using of psychological pills and sleeping medicine, the using of smartphone before bedtime, light adjustment when using smartphone in a dark room, and light adjustment when using smartphone before bedtime (P < 0.05). The predictors of poor sleep quality were gender, age, and light adjustment when using smartphone before bedtime (P < 0.05).
Conclusion: Poor sleep quality problems can affect both physical health and work efficiency. Light adjustment when using a smartphone in a dark room and light adjustment when using a smartphone before bedtime has a significant correlation with sleep quality.
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References
More than 90% of internet users in Thailand use smartphones to go online - eMarketer [Internet]. 2017 [cited 2019 Feb 21]. Available from: https://www.emarketer.com/Article/Morethan-90-of-Internet-UsersThailand-Use-Smartphones-Go-Online/1015217.
Demirci K, Akgönül M, Akpinar A. Relationship of smartphone use severity with sleep quality, depression, and anxiety in university students. J Behav Addict 2015;4:85-92.
https://doi.org/10.1556/2006.4.2015.010
Dewi R, Efendi F, Has EMM, Gunawan J. Adolescents' smartphone use at night, sleep disturbance and depressive symptoms. Int J Adolesc Med Health 2018. https://doi.org/10.1515/ijamh-2018-0095
Blue light has a dark side - Harvard health [Internet]. 2012 [cited 2018 Aug 13]. Available from: https://www.health.harvard.edu/staying-healthy/blue-light-has-adark-side.
Ohayon M, Carskadon M, Guilleminault C, Vitiello M. Meta-analysis of quantitative sleep parameters from childhood to old age in healthy individuals: developing normative sleep values across the human lifespan. Sleep 2004; 27:1255-73. https://doi.org/10.1093/sleep/27.7.1255
Liu Y, Li T, Zhang R, Guo L, Liu K. Poor sleep quality and late-life depression among the elderly in urban communities in liaoning, China: A moderated mediation analysis. Arch Gerontol Geriatr 2018;79:158-63.
https://doi.org/10.1016/j.archger.2018.09.002
Yamane T. Statistics: an introductory analysis. 3rd ed. New York: Harper and Row; 1973.
Mahatnirunkul S, Pumpaisalchai W, Tapanya P. The Construction of Suan Prung Stress Test for Thai population. Bulletin of Suan Prung 1997:13:1-20.
Sitasuwan T, Bussaratid S, Ruttanaumpawan P, Chotinaiwattarakul W. Reliability and validity of the Thai version of the Pittsburgh Sleep Quality Index. J Med Assoc Thai 2014; 97 Suppl 3:S57-67.
Exelmans L, Van den Bulck J. Bedtime mobile phone use and sleep in adults. Soc Sci Med 2016; 148:93-101. https://doi.org/10.1016/j.socscimed.2015.11.037
Alshobaili FA, AlYousefi N. The effect of smartphone usage at bedtime on sleep quality among Saudi nonmedical staff at King Saud University Medical City. J Family Med Prim Care 2019; 8:1953-7.
https://doi.org/10.4103/jfmpc.jfmpc_269_19
Hublin C, Lehtovirta M, Partinen M, Koskenvuo M, Kaprio J. Changes in sleep quality with age-a 36-year follow-up study of Finnish working-aged adults. J Sleep Res 2018;27:e12623.
https://doi.org/10.1111/jsr.12623
Baker FC, de Zambotti M, Colrain IM, Bei B. Sleep problems during the menopausal transition: prevalence, impact, and management challenges. Nat Sci Sleep 2018;10:73-95.
https://doi.org/10.2147/NSS.S125807
Chaput JP, Wong SL, Michaud I. Duration and quality of sleep among Canadians aged 18 to 79. Health Rep 2017;28:28-33.
Zhang JP, Wang YQ, Yan MQ, Li ZA, Du XP, Wu XQ. Menopausal Symptoms and Sleep Quality during Menopausal Transition and Postmenopause. Chin Med J 2016;129:771-7.
https://doi.org/10.4103/0366-6999.178961
Jehan S, Masters-Isarilov A, Salifu I, Zizi F, JeanLouis G, Pandi-Perumal SR, et al. Sleep disorders in postmenopausal women. J Sleep Disord Ther 2015;4:1000212.
Wu H, Gu G, Yu S. Effect of occupational stress and effort-reward imbalance on sleep quality of people's policeman. Zhonghua Yu Fang Yi Xue Za Zhi 2014;48:276-80.
Gu GZ, Yu SF, Zhou WH, Wu H, Kang L, Chen R. [Sleep quality and occupational stress relationship analysis of 1413 train drivers in a railway bureau].
Kenney SR, Lac A, Labrie JW, Hummer JF, Pham A. Mental health, sleep quality, drinking motives, and alcohol-related consequences: a path-analytic model. J Stud Alcohol Drugs 2013;74:841-51.
https://doi.org/10.15288/jsad.2013.74.841
Kenney SR, Paves AP, Grimaldi EM, Labrie JW. Sleep quality and alcohol risk in college students: examining the moderating effects of drinking motives. J Am Coll Health 2014;62:301-8.
https://doi.org/10.1080/07448481.2014.897953
Hipson WE, Fisher DJ. The association between acute stress-related insomnia and alcohol use. Sleep Health 2016;2:246-52. https://doi.org/10.1016/j.sleh.2016.06.002
Lederman O, Ward PB, Firth J, Maloney C, Carney R, Vancampfort D, et al. Does exercise improve sleep quality in individuals with mental illness? A systematic review and meta-analysis. J Psychiatr Res 2019;109:96-106. https://doi.org/10.1016/j.jpsychires.2018.11.004
Banno M, Harada Y, Taniguchi M, Tobita R, Tsujimoto H, Tsujimoto Y, et al. Exercise can improve sleep quality: a systematic review and meta-analysis. PeerJ 2018;6:e5172.
https://doi.org/10.7717/peerj.5172
Lanaj K, Johnson RE, Barnes CM. Beginning the workday already depleted? consequences of late-night smartphone use and sleep quantity. Organizational Behavior and Human Decision Processes 2014;124:11-23. https://doi.org/10.1016/j.obhdp.2014.01.001
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