Associated Factors of Smartphone Addiction in the Students of the Faculty of Health Sciences

Year 2022, Volume: 9 Issue: 2, 192 - 199, 31.08.2022

Gül Ergün Aysun Güzel Emre Umucu

https://doi.org/10.31125/hunhemsire.1167314

Abstract

Aim: This study aimed to investigate associated factors of smartphone addiction in the students of a faculty of health sciences.
Material and Methods: This is a cross-sectional study. A total of 839 health sciences students participated in our study. The data was collected by Personal Information Form, the Smartphone Addiction Scale-Short Form, the Pittsburg Sleep Quality Index, and the Piper Fatigue Scale.
Results: As the smartphone addiction score increases by 0.59 units, the sleep quality total score increases by one unit. The smartphone addiction score decreases by 0.12 units when the fatigue score increases by one unit. It was determined that female students' smartphone addiction scale scores were higher than male students.
Conclusion: The female students’ Smartphone Addiction Scale scores average were higher than males. In addition, fatigue and sleep problems were more significant in individuals with smartphone addiction. Appropriate Technology Use courses should be added to the curriculum to prevent telephone addiction.

Keywords

Addiction, fatigue, smartphone, students, sleeplessness

Sağlık Bilimleri Fakültesi Öğrencilerinde Akıllı Telefon Bağımlılığı ile İlişkili Faktörler

Abstract

Amaç: Bu çalışmanın amacı, Sağlık Bilimleri Fakültesi’nde öğrenim gören öğrencilerde, akıllı telefon bağımlılığı düzeyinin ve ilişkili bazı faktörlerin belirlenmesidir.
Gereç ve Yöntem: Araştırma, kesitsel tipte epidemiyolojik bir araştırma olarak planlanmıştır. Çalışmamıza, toplam 839 Sağlık Bilimleri öğrencisi katılmıştır. Veriler Personal Information Form, Akıllı Telefon Bağımlılığı Ölçeği-Kısa Form, Pittsburg Uyku Kalitesi Endeksi ve Piper Yorgunluk Ölçeği ile toplanmıştır.
Bulgular: Uyku kalitesi toplam puanı bir birim arttığında akıllı telefon bağımlılığı puanı 0.59 birim artmıştır. Yorgunluk puanları bir birim arttığında akıllı telefon bağımlılığı puanı 0.12 birim azalmıştır. Kız öğrencilerin, akıllı telefon bağımlılığı ölçek puanlarının erkek öğrencilere göre daha yüksek olduğu belirlenmiştir.
Sonuç: Kız öğrencilerin akıllı telefon bağımlılığı ölçeği puan ortalamaları daha yüksektir. Ayrıca, akıllı telefon bağımlılığı olan bireylerde yorgunluk ve uyku problemleri seviyesi artmaktadır. Telefon bağımlılığını önlemeye yönelik Uygun Teknoloji Kullanımı dersleri müfredata eklenmelidir.

Keywords

bağımlılık, öğrenciler, uykusuzluk, yorgunluk

References

• 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(2):85-92.
• Noyan CO, Darçın A E, Nurmedov S, Yılmaz O, Dilbaz N. Validity and reliability of the Turkish version of the smartphone addiction scale-short version among university students. Anadolu Psikiyatr De.2015;16:73-81.
• Smith A. More than half of us adults trust law enforcement to use facial recognition responsibly. 2019, Pew Research Center. (Erişim tarihi: 01.01.2020). Erişim adresi: .https://www.pewresearch.org/internet/wpcontent/uploads/sites/9/2019/09/09.05.19.fa.cial_recognition_FULLREPORT_update.pdf
• Türkiye İstatistik Kurumu. Hanehalkı Bilişim Teknolojileri Kullanım Araştırması. 2019, (Erişim tarihi: 01.01.2020). Erişim adresi: http://tuik.gov.tr/PreHaberBultenleri.do?id=21779
• Elhai JD, Dvorak RD, Levine JC, Hall BJ. Problematic smartphone use: A conceptual overview and systematic review of relations with anxiety and depression psychopathology. J. Affect. Disord. 2017;207:251-9.
• Ergun G, Guzel A. Determining the relationship of over-exercise to smartphone overuse and emotional intelligence levels in gym-goers: The example of Burdur, Turkey. Int J Ment Health Ad. 2019;17(4):1036-48.
• Matar Boumosleh J, Jaalouk D. Depression, anxiety, and smartphone addiction in university students-A cross sectional study. PLoS one. 2017;12(8): 1-14.
• Kuyucu M. Gençlerde akıllı telefon kullanımı ve akıllı telefon bağımlılığı sorunsalı: “Akıllı telefon (kolik)” üniversite gençliği. Glob. Media J. TR Edition. 2017;7(14):328-59.
• Randler C, Wolfgang L, Matt K, Demirhan E, Horzum MB, Beşoluk Ş. Smartphone addiction proneness in relation to sleep and morningness–eveningness in German adolescents. J. Behav. Addict. 2016;5(3):465-73.
• Yang SY, Lin CY, Huang, YC, Chang JH. Gender differences in the association of smartphone use with the vitality and mental health of adolescent students. J. Am. Coll. Health. 2018;66(7):693-701.
• Fu S, Chen X, Zheng H. Exploring an adverse impact of smartphone overuse on academic performance via health issues: A stimulus-organism-response perspective. Behav Inform Technol. 2020:1-13.
• Kim JY. The relationship among loneliness, stress, and smartphone addiction of adolescents in the era of digitalization. J. Digit. Converg. 2017;15(9):335-43.
• Schweizer A, Berchtold A, Barrense-Dias Y, Akre C, Suris JC. Adolescents with a smartphone sleep less than their peers. Eur. J. Pediatr. 2017;176(1):131-6.
• Aktaş H, Yılmaz N. Smartphone addiction in terms of the elements of loneliness and shyness of university youth. IJSSER. 2017;3(1):85-100.
• Chiu SI. The relationship between life stress and smartphone addiction on Taiwanese university student: A mediation model of learning self-efficacy and social self-efficacy. Comput Human Behav. 2014;34:49-57.
• Kim HJ, Kim JS. The relationship between smartphone use and subjective musculoskeletal symptoms and university students. J Phys Ther Sci. 2015;27(3):575-9.
• Soni R, Upadhyay R, Jain M. Prevalence of smart phone addiction, sleep quality and associated behaviour problems in adolescents. Int J Res Med Sci. 2017;5(2):515-9.
• Kumcagiz H, Gunduz Y. Relationship between Psychological well-being and smartphone addiction of university students. J. High. Educ. 2016;5(4):144-56.
• Xie X, Dong Y, Wang J. Sleep quality as a mediator of problematic smartphone use and clinical health symptoms. J. Behav. Addict. 2018;7(2):466-472.
• Özkan M, Akın S. Evaluation of The Effect of Fatigue on Functional Quality of Life in Cancer Patients. Florence Nightingale Hemşirelik Dergisi. 2017;25(3):177-92.
• Sert H, Taskin Yilmaz F, Karakoc Kumsar A, Aygin D. Effect of technology addiction on academic success and fatigue among Turkish university students. Fatigue. 2019;7(1):41-51.
• Kwon M, Kim DJ, Cho H, Yang S. The smart phone addiction scale: Development and validation of a short version for adolescents. PloS. One. 2013;8:e83558.
• Buysse DJ, Reynolds CF, Monk TH. The pittsburgh sleep quality index: A new instrument for psychiatric practice and research. Psychiatry Res. 1989;28:193-213.
• Ağargün MY, Kara H, Anlar Ö. Pittsburgh uyku kalitesi indeksi’nin geçerliliği ve güvenirliliği, Türk Psikiyatri Dergisi. 1996;7(2):107-15.
• Piper BF, Dibble SL, Dodd MJ, Weiss MC, Slaughter RE, Paul SM. The revised Piper Fatigue Scale: Psychometric evaluation in women with breast cancer. Oncol. Nurs. Forum. 1998;25:677-684.
• Can G. Meme kanserli hastalarda yorgunluğun ve bakım gereksinimlerinin değerlendirilmesi (Yüksek Lisans Tezi). İstanbul: İstanbul Üniversitesi; 2001.
• Mok JY, Choi SW, Kim DJ, Choi JS, Lee J, Ahn H et al. Latent class analysis on internet and smartphone addiction in college students. Neuropsychiatr Dis Treat. 2014;10:817.
• Alosaimi FD, Alyahya H, Alshahwan H, Al Mahyijari N, Shaik SA. Smartphone addiction among university students in Riyadh, Saudi Arabia Saudi Med J. 2016;37(6),675.
• Kirca, K., & Kutlutürkan, S Hemşirelik Öğrencilerinin Akıllı Telefon Bağımlılık Düzeylerinin İletişim Becerilerine Etkisi. Kocaeli Üniversitesi Sağlık Bilimleri Dergisi, 2019;5(2):81-5.
• 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.
• Enez Darcin A, Kose S, Noyan CO, Nurmedov S, Yılmaz O., Dilbaz N. Smartphone addiction and its relationship with social anxiety and loneliness. Behav Inform Technol. 2016;35(7):520-5.
• Baert S, Omey E, Verhaest D, Vermeir A. Mister Sandman, bring me good marks! On the relationship between sleep quality and academic achievement. Soc. Sci. Med. 2015;130:91-8.
• Rose D, Gelaye B, Sanchez S, Castañeda B, Sanchez E, Yanez ND et al. Morningness/eveningness chronotype, poor sleep quality, and daytime sleepiness in relation to common mental disorders among Peruvian college students. Psychol Health Med. 2015;20(3):345-52.
• Medic G, Wille M, &Hemels ME. Short-and long- term health consequences of sleep disruption. Nat Sci Sleep. 2017;9:151.
• Jun MS, Ju KO, Song MS, Suk Lee K. Effects of smartphone overuse on perceived cognitive function, fatigue, and daytime sleepiness among college students. J Korean Acad Nurs. 2016;29(3):245-55.
• Choi JH, Jung MH, Yoo KT. An analysis of the activity and muscle fatigue of the muscles around the neck under the three most frequent postures while using a smartphone. J. Phys. Ther. 2016;28(5),1660-4.
• Masters, K. Social networking addiction among health sciences students in Oman. Sultan Qaboos Univ Med J. 2015;15(3),e357.
• Mahapatra S. Smartphone addiction and associated consequences: role of loneliness and self-regulation. Behav Inform Technol. 2019;38(8):833-44.
• Mert A, Özdemir G. Yalnızlık duygusunun akıllı telefon bağımlılığına etkisi. OPUS Uluslararası Toplum Araştırmaları Dergisi. 2018;8(1):88-107.
• Al-Barashdi HS., Bouazza A, Jabur NH. Smartphone addiction among university undergraduates: A literature review. J. Sci. Res. 2015:210-25.
• Sano A, Taylo, S, McHill AW, Phillips AJ, Barger LK, Klerman E et al. Identifying objective physiological markers and modifiable behaviors for self-reported stress and mental health status using wearable sensors and mobile phones: observational study. Journal of Medical Internet Research, 2018;20(6):e9410.
• Júnior LJFS, Ribeiro CHT, de Sousa Fortes L, Barbosa BT, da Silva Neto LV. Smartphone addiction is associated with symptoms of anxiety, depression, stress, tension, confusion, and insomnia: A cross-sectional and comparative study with physically and non-physically active adults in self-isolation during the COVID-19 pandemic. Salud Mental, 2021;44(4):193-20.