Study of internet addiction and its association with depression and insomnia in university students.

Autor: Jain A; Department of Psychiatry, ESIC Model Hospital, Jaipur, Rajasthan, India., Sharma R; Department of Ophthalmology, ESIC Model Hospital, Jaipur, Rajasthan, India., Gaur KL; Department of PSM, SMS Medical College, Jaipur, Rajasthan, India., Yadav N; Department of Medicine, ESIC Model Hospital, Jaipur, Rajasthan, India., Sharma P; Department of Psychology, University of Rajasthan, Jaipur, Rajasthan, India., Sharma N; Department of Psychology, University of Rajasthan, Jaipur, Rajasthan, India., Khan N; Department of Psychology, University of Rajasthan, Jaipur, Rajasthan, India., Kumawat P; Department of Psychology, University of Rajasthan, Jaipur, Rajasthan, India., Jain G; Department of Medicine, ESIC Model Hospital, Jaipur, Rajasthan, India., Maanju M; Department of Psychiatry, ESIC Model Hospital, Jaipur, Rajasthan, India., Sinha KM; Manipal University, Jaipur, Rajasthan, India., Yadav KS; Department of Psychiatry, ESIC Model Hospital, Jaipur, Rajasthan, India.
Jazyk: angličtina
Zdroj: Journal of family medicine and primary care [J Family Med Prim Care] 2020 Mar 26; Vol. 9 (3), pp. 1700-1706. Date of Electronic Publication: 2020 Mar 26 (Print Publication: 2020).
DOI: 10.4103/jfmpc.jfmpc_1178_19
Abstrakt: Introduction: Use of internet has increased exponentially worldwide with prevalence of internet addiction ranging from 1.6% to 18 % or even higher. Depression and insomnia has been linked with internet addiction and overuse in several studies.
Aims and Objectives: Present study has looked in to pattern and prevalence of internet addiction in university students. This study has also explored the association of internet addiction with depression and insomnia.
Material and Methods: In this cross sectional study 954 subjects were enrolled who had been using internet for past 6 months. Information regarding pattern of use and socio demographic characteristics were recorded. Internet addiction Test (IAT), PHQ-9,and insomnia Severity Index (ISI) were applied to measure internet addiction, depression and insomnia respectively.
Results: Among 954 subjects, 518 (60.59%) were male and 376 (39.41%) were female with mean age of 23.81 (SD ± 3.72). 15.51% study subjects were internet addicts and 49.19% were over users. Several parameters including graduation level, time spent per day on line, place of internet use, smoking and alcohol had significant association with internet addiction. Internet addiction was predominantly associated with depression and insomnia.
Conclusion: Internet addiction is a rising concern among youth. Several parameters including gender, time spent on line, alcohol, smoking predicts higher risk of internet addiction. Depression and insomnia are more common in internet addicts and overusers.
Competing Interests: There is no conflict of interest.
(Copyright: © 2020 Journal of Family Medicine and Primary Care.)
Databáze: MEDLINE
Externí odkaz:
Nepřihlášeným uživatelům se plný text nezobrazuje