Journals / The European Research Journal / 2020 / Cilt: 6 - Sayı: 6

The relationship between smartphone using style and sleep quality and psychiatric symptoms among a foundation university students

Pages
569–579
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Responsible and mindfull use of smartphones by the students throughout the day may provide a positive effect on their sleep.

📌 3 Key Takeaways

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Objective & Hypothesis:Objectives: We aimed to measure problematic smartphone use frequency and it’s association with sleep problems and psychiatric symptoms in a sample of university students.
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Key Findings & Data:Results: Based on the SAS median score, the participants were divided into two groups as the low-level smartphone use (SAS score < 79) and the high-level smartphone use (SAS score > 79) groups.
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Conclusion & Impact:Responsible and mindfull use of smartphones by the students throughout the day may provide a positive effect on their sleep.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:smartphone addiction · behavioral addiction · sleep

Abstract

Objectives: We aimed to measure problematic smartphone use frequency and it’s association with sleep problems and psychiatric symptoms in a sample of university students. Methods: The data in the study was collected by using a sociodemographic data form, the Smartphone Addiction Scale (SAS), the Pittsburgh Sleep Quality Index (PSQI), the Epworth Sleepiness Scale (ESS) and the Brief Symptom Inventory (BSI). Results: Based on the SAS median score, the participants were divided into two groups as the low-level smartphone use (SAS score < 79) and the high-level smartphone use (SAS score > 79) groups. In the high-level smartphone use group, general sleep quality was lower, sleep latency was longer, scores of sleep disorder and daytime dysfunction were higher as measured by PSQI and the BSI scores were higher (p < 0.001). As a result of the study, it was observed that, as smartphone use increased and became problematic, sleep quality decreased, and daytime dysfunction and psychiatric symptoms increased. SAS scores were positively correlated with both PSQI and ESS scores. SAS score was found as a predictor of PSQI scores in the regression analysis. Conclusions: This study shows that the relationship between problematic smartphone use and decreased sleep quality and increased psychiatric symptomatology in university students is still an important public health issue. Responsible and mindfull use of smartphones by the students throughout the day may provide a positive effect on their sleep.

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Cite This Article

YÜCEL, E. E., ÜNSALVER, B. Ö. (2020). The relationship between smartphone using style and sleep quality and psychiatric symptoms among a foundation university students. The European Research Journal, Cilt: 6 - Sayı: 6, 569–579. https://ajindex.com/articles/359739

References (15)

  1. Kwon M, Lee JY, Won WY, Park JW, Min JA, Hahn C, et al. Development and validation of a smartphone addiction scale (SAS). PLoS One 2013;8:e56936
  2. Kuss DJ, Kanjo E, Crook-Rumsey M, Kibowski F, Wang GY, Sumich A. Problematic mobile phone use and addiction across generations: the roles of psychopathological symptoms and smartphone use. J Technol Behav Sci 2018;3:141-9
  3. Panova T, Carbonell X. Is smartphone addiction really an addiction? J Behav Addict 2018;7:252-9
  4. Serino S, Cipresso P, Gaggioli A, Pallavicini F, Cipress S, Campanaro D, et al. [Smartphone for self-management of psychological stress: a prelimınary evaluation of positive technology app]. Revista de Psicopatología y Psicología Clínica 2015;19:253-60. [Article in Spain] 5. Toda M, Ezoe S, Takeshita T. Mobile phone use and stress-coping strategies of medical students. Int J Cyber Behav Psychol Learn 2014;4:41-6
  5. Vahedi Z, Saiphoo A. The association between smartphone use, stress, and anxiety: a meta-analytic review. Stress Health 2018;34:347-58
  6. Buysse DJ. Sleep health: can we define it? Does it matter? Sleep 2014;37:9-17
  7. Harvey AG, Stinson K, Whitaker KL, Moskovitz D, Virk H. The subjective meaning of sleep quality: a comparison of individuals with and without insomnia. Sleep 2008;31:383-93
  8. Medic G, Wille M, Hemels ME. Short- and long-term health consequences of sleep disruption. Nat Sci Sleep 2017;9:151-61
  9. Van Cauter E, Spiegel K, Tasali E, Leproult R. Metabolic consequences of sleep and sleep loss. Sleep Med 2008;9:S23-8
  10. Bouloukaki I, Stathakis G, Koloi A, Bakiri E, Moudatsaki M, Pouladaki E, et al. Prevalence and risk factors of poor sleep quality and fatigue during exam periods in university students. ERJ Open Res 2017;3:P2
  11. Demirci K, Akgonul M, Akpinar A. Relationship of smartphone use severity with sleep quality, depression, and anxiety in university students. J Behav Addict 2015;4:85-92
  12. Hershner S CR. Causes and consequences of sleepiness among college students. Nat Sci Sleep 2014;6:73-84
  13. Mohammadbeigi A, Absari R, Valizadeh F, Saadati M, Sharifimoghadam S, Ahmadi A, et al. Sleep quality in medical students; the impact of over-use of mobile cell-phone and social networks. J Res Health Sci 2016;16-46-50
  14. Lemola S, Perkinson-Gloor N, Brand S, Dewald-Kaufmann JF, Grob A. Adolescents’ electronic media use at night, sleep disturbance, and depressive symptoms in the smartphone age. J Youth Adolesc 2015;44:405-18
  15. Matar Boumosleh J, Jaalou