Effects of smartphone overuse on quality of sleep and academics among university students

Abstract

Objective: To determine the association of smartphone addiction of male and female university students with quality of sleep and academic performance.

Study design: It is a comparative cross sectional study.

Place and duration of study: A three-month study was carried out in different universities of Rawalpindi and Islamabad. (from October 2017 to January 2018)

Material and Methods: Non probability purposive sampling technique was used for data collection. Students between the ages of 18 to 25 using smartphone more than two hours per day were included. Students suffering from diagnosed sleeping disorders and taking psychological treatment were excluded from the study. Data was collected by using Pittsburgh Sleep Quality Index (PSQI), Smartphone addiction scale (SAS), semester grade point average (SGPA) and cumulative grade point average (CGPA). Data was analyzed by using SPSS version 21.

Results: The mean age of the participants was 20.70±1.52 years, out of which 67% were males and 33% were females. Mean and standard deviation of global PSQI was 7.31±3.33 and SAS was 93.05±21.4 with no significant difference between males and females (P value >0.05). Mean and standard deviation of CGPA and SGPA were 3.02±1.288 and 3.38±11.19 with significant difference in SGPA (P value<0.05). SAS has showed association with PSQI and academic performance (P value <0.05).

Conclusion: Students spend a significant amount of time on smart phone thus developing addictive tendencies. It can be concluded that sleep quality and academics are directly associated with smartphone addiction in a negative way. There is no difference in sleep quality and smartphone addiction whereas academics were more affected in male students than female students.

Keywords: Academic performance, PSQI, SAS, Sleep quality, Smartphone addiction

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References

Thomée S, Härenstam A, Hagberg M. Mobile phone use and stress, sleep disturbances, and symptoms of depression among young adults-a prospective cohort study. BMC public health. 2011;11(1):66.

Putzer GJ, Park Y. The effects of innovation factors on smartphone adoption among nurses in community hospitals. Perspectives in Health Information Management/AHIMA, American Health Information Management Association. 2010;7(Winter).

Ezoe S, Toda M, Yoshimura K, Naritomi A, Den R, Morimoto K. Relationships of personality and lifestyle with mobile phone dependence among female nursing students. Social Behavior and Personality: an international journal. 2009;37(2):231-8.

Wei R. Motivations for using the mobile phone for mass communications and entertainment. Telematics and Informatics. 2008;25(1):36-46.

Ozcelik E, Acarturk C. Reducing the spatial distance between printed and online information sources by means of mobile technology enhances learning: Using 2D barcodes. Computers & Education. 2011;57(3):2077-85.

Rumsfeld JS, Brooks SC, Aufderheide TP, Leary M, Bradley SM, Nkonde-Price C, et al. Use of mobile devices, social media, and crowdsourcing as digital strategies to improve emergency cardiovascular care: a scientific statement from the American Heart Association. Circulation. 2016;134(8):e87-e108.

Park W. Mobile phone addiction In Mobile Communications (pp. 253–272). London: Springer; 2005.

Patrick K, Griswold WG, Raab F, Intille SS. Health and the mobile phone. American journal of preventive medicine. 2008;35(2):177-81.

Berolo S, Wells RP, Amick III BC. Musculoskeletal symptoms among mobile hand-held device users and their relationship to device use: a preliminary study in a Canadian university population. Applied ergonomics. 2011;42(2):371-8.

İNal EE, Demirci K, Çetİntürk A, Akgönül M, Savaş S. Effects of smartphone overuse on hand function, pinch strength, and the median nerve. Muscle & nerve. 2015;52(2):183-8.

Samaha M, Hawi NS. Relationships among smartphone addiction, stress, academic performance, and satisfaction with life. Computers in Human Behavior. 2016;57:321-5.

Bian M, Leung L. Linking loneliness, shyness, smartphone addiction symptoms, and patterns of smartphone use to social capital. Social science computer review. 2015;33(1):61-79.

Choi K, Son H, Park M, Han J, Kim K, Lee B, et al. Internet overuse and excessive daytime sleepiness in adolescents. Psychiatry and clinical neurosciences. 2009;63(4):455-62.

Heo J-Y, Kim K, Fava M, Mischoulon D, Papakostas GI, Kim M-J, 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. Journal of psychiatric research. 2017;87:61-70.

Lund HG, Reider BD, Whiting AB, Prichard JR. Sleep patterns and predictors of disturbed sleep in a large population of college students. Journal of adolescent health. 2010;46(2):124-32.

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