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ORIGINAL ARTICLE
Year : 2021  |  Volume : 10  |  Issue : 1  |  Page : 378-386

A study on smartphone addiction and its effects on sleep quality among nursing students in a municipality town of West Bengal


1 3rd Year MBBS Student, Community Medicine Department, College of Medicine and JNM Hospital, Kalyani, Nadia, West Bengal, India
2 Assistant Professor, Community Medicine Department, College of Medicine and JNM Hospital, Kalyani, Nadia, West Bengal, India
3 Associate Professor, Community Medicine Department, College of Medicine and JNM Hospital, Kalyani, Nadia, West Bengal, India
4 Associate Professor, Department of Pharmacology, College of Medicine and JNM Hospital, Kalyani, Nadia, West Bengal, India

Correspondence Address:
Dr. Chanchal Kumar Dalai
Associate Professor, Department of Pharmacology, College of Medicine and JNM Hospital, Kalyani, Nadia, West Bengal
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/jfmpc.jfmpc_1657_20

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Background: Smartphones are now an important gadget for us, but the many are getting addicted to it. Researchers showed that smartphone addiction and late-night usage affects sleep quality. Indian nurses are already facing a heavy burden of depression and present position of nurses is quite insecure. Very few studies were performed over nursing students and that leads to the selection of this topic for my research. Methodology: It was a cross-sectional, observational, and questionnaire-based study, performed over B.Sc. Nursing students of University College of Nursing, WBUHS. The questionnaire has three parts. The first part was for sociodemographic variables, the second part measures the addictive phenomena associated with smartphone overuse using a Smartphone Addiction Scale (SAS), the last part was intended to measure the sleep quality by using Pittsburgh Sleep Quality Index (PSQI). Collected data was compiled and analyzed with the help of MS-Excel from Microsoft Office Package-2016. Results: Out of 91 students, 46 students were found to be not addicted, while 45 were addicted to smartphone, as measured by SAS. On PSQI, 17.58% students were found to be good sleepers, while 82.42% came out to be poor sleepers. Significant association was found between age and smartphone addiction (p=0.000031) and between daily calls and sleep quality (p=0.025333). Conclusion: It can be finally concluded that increase in smartphone usage is now a serious matter of concern and lower age groups are more susceptible towards it. Broad-spectrum studies involving multiple institutions is needed to reveal the bigger picture


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