Prevalence and predisposing factors of smartphone addiction, sleep quality and daytime sleepiness of nursing students: A cross-sectional design


UZUNÇAKMAK T., AYAZ ALKAYA S., AKCA A.

Nurse Education in Practice, vol.65, 2022 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 65
  • Publication Date: 2022
  • Doi Number: 10.1016/j.nepr.2022.103478
  • Journal Name: Nurse Education in Practice
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus, ASSIA, CINAHL, EBSCO Education Source, Education Abstracts, Educational research abstracts (ERA), EMBASE, MEDLINE
  • Keywords: Daytime sleepiness, Nursing student, Predisposing factors, Sleep quality, Smartphone addiction
  • Gazi University Affiliated: Yes

Abstract

© 2022 Elsevier LtdAim: The current study aimed to determine the prevalence of smartphone addiction, sleep quality and daytime sleepiness of nursing students and to identify the predisposing factors of these parameters. Background: The use of smartphones, which has become an indispensable part of daily life, has various effects on addictive behavior and sleep. Design: The present study was performed with a cross-sectional design. Methods: The population of the study comprised of nursing students attending all grades at two universities (N = 940). A total of 771 students were included in the study. Data were collected through a personal information form, the Pittsburgh Sleep Quality Index, the Epworth Sleepiness Scale and the Smartphone Addiction Scale. Logistic regression analysis was used to evaluate the data. Results: The prevalence of smartphone addiction was 42.4%. Of the students, 57.3% had poor sleep quality and 82.5% had normal daytime sleepiness. Daily smartphone use duration, owning of a smartphone duration, daytime sleepiness and academic success were significant influencing factors for smartphone addiction (p < 0.05). Daily sleep duration, daytime sleepiness and school region were found significant risk factors for sleep quality (p < 0.05). Sleep quality and smartphone addiction significantly influenced daytime sleepiness (p < 0.05). Conclusions: The study revealed that almost half of nursing students presented smartphone addiction and more than half of them had poor sleep quality. The prevalence of normal daytime sleepiness among nursing students was high.