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Prevalence of internet addiction among college students in the Indian setting: a systematic review and meta-analysis
BACKGROUND: The internet is an integral part of everyone’s life. College going adolescents are highly vulnerable to the misuse of the internet. AIMS: To estimate the pooled prevalence of internet addiction (IA) among college students in India. METHODS: Literature databases (PubMed, Web of Science, S...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8381302/ https://www.ncbi.nlm.nih.gov/pubmed/34504996 http://dx.doi.org/10.1136/gpsych-2021-100496 |
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author | Joseph, Jaison Varghese, Abin VR, Vijay Dhandapani, Manju Grover, Sandeep Sharma, Suresh Khakha, Deepika Mann, Sucheta Varkey, Biji P |
author_facet | Joseph, Jaison Varghese, Abin VR, Vijay Dhandapani, Manju Grover, Sandeep Sharma, Suresh Khakha, Deepika Mann, Sucheta Varkey, Biji P |
author_sort | Joseph, Jaison |
collection | PubMed |
description | BACKGROUND: The internet is an integral part of everyone’s life. College going adolescents are highly vulnerable to the misuse of the internet. AIMS: To estimate the pooled prevalence of internet addiction (IA) among college students in India. METHODS: Literature databases (PubMed, Web of Science, Scopus, EMBASE, PsycINFO and Google Scholar) were searched for studies assessing IA using the Young Internet Addiction Test (Y-IAT) among adolescents from India, published in the English language up to December 2020. We included studies from 2010 to 2020 as this is the marked era of momentum in wireless internet connectivity in India. The methodological quality of each study was scored, and data were extracted from the published reports. Pooled prevalence was estimated using the fixed-effects model. Publication bias was evaluated using Egger’s test and visual inspection of the symmetry in funnel plots. RESULTS: Fifty studies conducted in 19 states of India estimated the prevalence of IA and the overall prevalence of IA as 19.9% (95% CI: 19.3% to 20.5%) and 40.7% (95% CI: 38.7% to 42.8%) based on the Y-IAT cut-off scores of 50 and 40, respectively. The estimated prevalence of severe IA was significantly higher in the Y-IAT cut-off points of 70 than 80 (12.7% (95% CI: 11.2% to 14.3%) vs 4.6% (95% CI: 4.1% to 5.2%)). The sampling method and quality of included studies had a significant effect on the estimation of prevalence in which studies using non-probability sampling and low risk of bias (total quality score ≥7) reported lower prevalence. The overall quality of evidence was rated as ‘moderate’ based on the Grading of Recommendations Assessment, Development and Evaluation criteria. CONCLUSIONS: Our nationally representative data suggest that about 20% to 40% of college students in India are at risk for IA. There is a need for further research in the reconsideration of Y-IAT cut-off points among Indian college students. PROSPERO REGISTRATION NUMBER: CRD42020219511. |
format | Online Article Text |
id | pubmed-8381302 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-83813022021-09-08 Prevalence of internet addiction among college students in the Indian setting: a systematic review and meta-analysis Joseph, Jaison Varghese, Abin VR, Vijay Dhandapani, Manju Grover, Sandeep Sharma, Suresh Khakha, Deepika Mann, Sucheta Varkey, Biji P Gen Psychiatr Meta-Analysis BACKGROUND: The internet is an integral part of everyone’s life. College going adolescents are highly vulnerable to the misuse of the internet. AIMS: To estimate the pooled prevalence of internet addiction (IA) among college students in India. METHODS: Literature databases (PubMed, Web of Science, Scopus, EMBASE, PsycINFO and Google Scholar) were searched for studies assessing IA using the Young Internet Addiction Test (Y-IAT) among adolescents from India, published in the English language up to December 2020. We included studies from 2010 to 2020 as this is the marked era of momentum in wireless internet connectivity in India. The methodological quality of each study was scored, and data were extracted from the published reports. Pooled prevalence was estimated using the fixed-effects model. Publication bias was evaluated using Egger’s test and visual inspection of the symmetry in funnel plots. RESULTS: Fifty studies conducted in 19 states of India estimated the prevalence of IA and the overall prevalence of IA as 19.9% (95% CI: 19.3% to 20.5%) and 40.7% (95% CI: 38.7% to 42.8%) based on the Y-IAT cut-off scores of 50 and 40, respectively. The estimated prevalence of severe IA was significantly higher in the Y-IAT cut-off points of 70 than 80 (12.7% (95% CI: 11.2% to 14.3%) vs 4.6% (95% CI: 4.1% to 5.2%)). The sampling method and quality of included studies had a significant effect on the estimation of prevalence in which studies using non-probability sampling and low risk of bias (total quality score ≥7) reported lower prevalence. The overall quality of evidence was rated as ‘moderate’ based on the Grading of Recommendations Assessment, Development and Evaluation criteria. CONCLUSIONS: Our nationally representative data suggest that about 20% to 40% of college students in India are at risk for IA. There is a need for further research in the reconsideration of Y-IAT cut-off points among Indian college students. PROSPERO REGISTRATION NUMBER: CRD42020219511. BMJ Publishing Group 2021-08-20 /pmc/articles/PMC8381302/ /pubmed/34504996 http://dx.doi.org/10.1136/gpsych-2021-100496 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Meta-Analysis Joseph, Jaison Varghese, Abin VR, Vijay Dhandapani, Manju Grover, Sandeep Sharma, Suresh Khakha, Deepika Mann, Sucheta Varkey, Biji P Prevalence of internet addiction among college students in the Indian setting: a systematic review and meta-analysis |
title | Prevalence of internet addiction among college students in the Indian setting: a systematic review and meta-analysis |
title_full | Prevalence of internet addiction among college students in the Indian setting: a systematic review and meta-analysis |
title_fullStr | Prevalence of internet addiction among college students in the Indian setting: a systematic review and meta-analysis |
title_full_unstemmed | Prevalence of internet addiction among college students in the Indian setting: a systematic review and meta-analysis |
title_short | Prevalence of internet addiction among college students in the Indian setting: a systematic review and meta-analysis |
title_sort | prevalence of internet addiction among college students in the indian setting: a systematic review and meta-analysis |
topic | Meta-Analysis |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8381302/ https://www.ncbi.nlm.nih.gov/pubmed/34504996 http://dx.doi.org/10.1136/gpsych-2021-100496 |
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