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Study of internet addiction and its association with depression and insomnia in university students
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 patt...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7266242/ https://www.ncbi.nlm.nih.gov/pubmed/32509675 http://dx.doi.org/10.4103/jfmpc.jfmpc_1178_19 |
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author | Jain, Akhilesh Sharma, Rekha Gaur, Kusum Lata Yadav, Neelam Sharma, Poonam Sharma, Nikita Khan, Nazish Kumawat, Priyanka Jain, Garima Maanju, Mukesh Sinha, Kartik Mohan Yadav, Kuldeep S. |
author_facet | Jain, Akhilesh Sharma, Rekha Gaur, Kusum Lata Yadav, Neelam Sharma, Poonam Sharma, Nikita Khan, Nazish Kumawat, Priyanka Jain, Garima Maanju, Mukesh Sinha, Kartik Mohan Yadav, Kuldeep S. |
author_sort | Jain, Akhilesh |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7266242 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Wolters Kluwer - Medknow |
record_format | MEDLINE/PubMed |
spelling | pubmed-72662422020-06-04 Study of internet addiction and its association with depression and insomnia in university students Jain, Akhilesh Sharma, Rekha Gaur, Kusum Lata Yadav, Neelam Sharma, Poonam Sharma, Nikita Khan, Nazish Kumawat, Priyanka Jain, Garima Maanju, Mukesh Sinha, Kartik Mohan Yadav, Kuldeep S. J Family Med Prim Care Original Article 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. Wolters Kluwer - Medknow 2020-03-26 /pmc/articles/PMC7266242/ /pubmed/32509675 http://dx.doi.org/10.4103/jfmpc.jfmpc_1178_19 Text en Copyright: © 2020 Journal of Family Medicine and Primary Care http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Original Article Jain, Akhilesh Sharma, Rekha Gaur, Kusum Lata Yadav, Neelam Sharma, Poonam Sharma, Nikita Khan, Nazish Kumawat, Priyanka Jain, Garima Maanju, Mukesh Sinha, Kartik Mohan Yadav, Kuldeep S. Study of internet addiction and its association with depression and insomnia in university students |
title | Study of internet addiction and its association with depression and insomnia in university students |
title_full | Study of internet addiction and its association with depression and insomnia in university students |
title_fullStr | Study of internet addiction and its association with depression and insomnia in university students |
title_full_unstemmed | Study of internet addiction and its association with depression and insomnia in university students |
title_short | Study of internet addiction and its association with depression and insomnia in university students |
title_sort | study of internet addiction and its association with depression and insomnia in university students |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7266242/ https://www.ncbi.nlm.nih.gov/pubmed/32509675 http://dx.doi.org/10.4103/jfmpc.jfmpc_1178_19 |
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