ArticleJournal of education and health promotion2022
Prevalence of internet addiction and its impact on selected psychological parameters among UG nursing students.
Article in Journal of education and health promotion, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 6 citations in OpenAlex.
- The dark side of AI in education: AI dependency as a mediator linking academic self-efficacy and teacher support to learning burnout among university students.Frontiers in psychology · 2026Article
- Global prevalence of insomnia symptoms in undergraduate university students: a systematic review and meta-analysis.Sleep advances : a journal of the Sleep Research Society · 2025Review
- Predictors of anxiety and depression in nurses: The role of social capital.Journal of education and health promotion · 2025Article
- Prediction of internet addiction among high school students in a rural Southern Karnataka, India-A cross-sectional study.Journal of education and health promotion · 2024Article
- Digital Addiction and Related Factors among College Students.Healthcare (Basel, Switzerland) · 2023Article
- Fear, stress, anxiety, depression and insomnia related to COVID-19 among undergraduate nursing students: An international survey.PloS one · 2023Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCurrently, the use of the internet is one of the most important tools, which may lead to negative or positive impact on college or school students. The excessive use of electronic media may lead to change in the mood, an inability to resist internet usage, a diminishing social life, withdrawal symptoms while unengaged, affecting self-esteem, and adverse work or academic consequences. The main objective of this study is to explore Internet use and its impact on selected psychological parameters such as depression and insomnia among undergraduate (UG) nursing students. MATERIALS AND
methodsA total of 385 college students selected by purposive sampling technique were included in the study. Young's Internet Addiction Test (YIAT20) for Internet addiction (IA) assessment, and Beck's depression inventory Scale to assess level of depression, and insomnia severity index (ISI) scale to measure insomnia were used.
resultsAmong 385 participants, 175 and 210 were male and female, respectively. Demographic variables such as pursuing course, study year, use of Internet/day; and the purpose of Internet use such as social networking, games, entertainment, pornography, and news were significantly associated with IA. Depression and insomnia were found to be correlated with IA.
conclusionInternet usage more than the normal limit has a profound effect on college or school students, in particular, depression and insomnia. At times, it ends up in problems in their social and family relationship.
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