A Study to Assess and Analyze Smart Phone Addiction among Young Population in Terms of Selected Variables at College of Nursing, Vardhman Mahavir Medical College, Safdarajung Hospital, New Delhi
Authors/Creators
- 1. College of Nursing, VMMC and Safdarajung Hospital, Delhi, India
Description
A study to assess and analyze smart-phone addiction among young population in terms of selected variables at college of nursing, VMMC and Safdarjung Hospital, New Delhi. To achieve the objectives of the study analytical and inferential statistics was used. A structured questionnaire and addiction scale was developed based on extensive review of research and non-research literature. The sample size was fifty subjects were selected from college of nursing, Safdarjung Hospital. Data was collected by using structured questionnaire. Addiction assessment was based on structured questionnaire and addiction scale assessment was categorized into mild addiction (18−30), moderate addiction (31−42) and severe addiction (43−54). The study finding showed, that 31.25% of the subjects have disturbed sleep, 37.5% have decreased physical activity, and 31.25% have impaired relationship status due to smartphone addiction. Majority of the subjects have moderate smartphone addiction (76%).
Files
(10-16)A Study to Assess And Analyze Smart Phone-format.pdf
Additional details
References
- "The Smartphone Addiction Scale: Development and Validation of a short version for Adolescents", PLoS ONE, Volume 8, Issue 12, e83558. doi. 10.1371/journal.pone.0083558
- Park C, Park YR (2014), "The Conceptual Model on Smart Phone Addiction among Early Childhood", International Journal of Social Science and Humanity, Volume 4, Issue 2, pp. 147−150.
- Mi-ok Kim, Heejeong Kim, Kyungsook Kim, Sejin Ju, Junghyun Choi, MiYu (2015), "Smartphone Addiction: (Focused Depression, Aggression and Impulsion) among College Students", Indian Journal of Science and Technology, Volume 8, Issue 25,
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- Adams SK, Kisler TS (2013), "Sleep quality as a mediator between technology-related sleep quality, depression, and anxiety', Cyberpsychology, Behavior, Social Networking, Volume 16, Issue 1, pp. 25−30.
Subjects
- Nursing
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