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Journal of Integrative Nursing ›› 2023, Vol. 5 ›› Issue (4): 273-279.doi: 10.4103/jin.jin_80_23

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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

Manisha MEHRA1, Poonam JOSHI2, Surya Kant TIWARI3, Praveen AGGRAWAL4, Kamlesh CHANDELIA1, Srinithya RAGHAVAN5   

  1. 1Department of Nursing Services, All India Institute of Medical Sciences, New Delhi, India; 2College of Nursing, All India Institute of Medical Sciences, Kalyani, West Bengal, India; 3College of Nursing, All India Institute of Medical Sciences, Raebareli, Uttar Pradesh, India; 4Department of Emergency Medicine, All India Institute of Medical Sciences, New Delhi, India; 5Department of In‑Service Education, All India Institute of Medical Sciences, New Delhi, India
  • Received:2023-08-04 Revised:2023-08-31 Accepted:2023-09-04 Online:2023-12-29 Published:2023-12-31
  • Contact: Mr. Surya Kant TIWARI, College of Nursing, All India Institute of Medical Sciences, Raebareli, Uttar Pradesh, India. E-mail: surya.tiwari468@gmail.com

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.