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

• Published in: Journal of family medicine and primary care Vol. 9; no. 3; pp. 1700 - 1706
• Main Authors: Jain, Akhilesh, Sharma, Rekha, Gaur, Kusum, Yadav, Neelam, Sharma, Poonam, Sharma, Nikita, Khan, Nazish, Kumawat, Priyanka, Jain, Garima, Maanju, Mukesh, Sinha, Kartik, Yadav, Kuldeep
• Format: Journal Article
• Language: English
• Published: India Wolters Kluwer India Pvt. Ltd 01-03-2020; Medknow Publications and Media Pvt. Ltd; Wolters Kluwer - Medknow; Wolters Kluwer Medknow Publications
• Subjects: Addiction; College students; depression; Insomnia; Internet; Internet addiction; Original; Psychological aspects; Students; India; Depression; internet addiction; insomnia
• ISSN: 2249-4863; 2278-7135
• DOI: 10.4103/jfmpc.jfmpc_1178_19

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.