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Prevalence and predictors of smartphone addiction and insomnia among nurses working in the outpatient department after the second wave of the coronavirus disease 2019 pandemic.
- Source :
- Journal of Integrative Nursing; Oct-Dec2023, Vol. 5 Issue 4, p273-279, 7p
- Publication Year :
- 2023
-
Abstract
- Objectives: The present study aims to assess the prevalence and predictors of smartphone addiction and insomnia among nurses working in the outpatient department (OPD) after the second wave of the coronavirus disease 2019 (COVID-19) pandemic. Materials and Methods: A descriptive, cross-sectional study was carried out among 117 OPD nurses between October and December 2021 using a purposive sampling technique. Two self-reported standardized scales, the Smartphone Addiction Scale-Short Version and Insomnia Severity Index were used. Kolmogorov–Smirnov test, Mann–Whitney U, and Kruskal–Wallis H test were used. Pearson's correlation and Scatter plot were used to determine the relationship between the study variables. A stepwise multiple linear regression analysis was also performed. Results: The majority of participants had slight smartphone addiction (78.6%) and suffered from sub-threshold to severe forms of insomnia (73.5%). A significant mild positive correlation was found between smartphone addiction and insomnia (r = 0.195, P < 0.05). Stepwise multivariate logistic regression analysis predicted factors such as female gender and exposure to smartphones for more than 5 years influencing smartphone addiction. A strong influence of exposure to the smartphone for more than 5 years was found on insomnia severity. Conclusion: Smartphone addiction and insomnia were identified problems among nurses working in the OPD after the second wave of the COVID-19 pandemic, requiring an urgent need to identify and manage various factors responsible for smartphone addiction and insomnia such as female gender and years of exposure to smartphones. [ABSTRACT FROM AUTHOR]
- Subjects :
- KRUSKAL-Wallis Test
SLEEP quality
RESEARCH methodology
CROSS-sectional method
MULTIPLE regression analysis
SMARTPHONES
MANN Whitney U Test
PSYCHOLOGY of nurses
PEARSON correlation (Statistics)
SEVERITY of illness index
SLEEP disorders
EPIDEMICS
DESCRIPTIVE statistics
INSOMNIA
INTERNET addiction
JUDGMENT sampling
STAY-at-home orders
COMPULSIVE behavior
OUTPATIENT services in hospitals
COVID-19 pandemic
Subjects
Details
- Language :
- English
- ISSN :
- 26669854
- Volume :
- 5
- Issue :
- 4
- Database :
- Complementary Index
- Journal :
- Journal of Integrative Nursing
- Publication Type :
- Academic Journal
- Accession number :
- 174848203
- Full Text :
- https://doi.org/10.4103/jin.jin_80_23