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The association between internet addiction and psychiatric co-morbidity: a meta-analysis
BACKGROUND: This study evaluates the association between Internal Addiction (IA) and psychiatric co-morbidity in the literature. METHODS: Meta-analyses were conducted on cross-sectional, case–control and cohort studies which examined the relationship between IA and psychiatric co-morbidity. Selected...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4082374/ https://www.ncbi.nlm.nih.gov/pubmed/24947851 http://dx.doi.org/10.1186/1471-244X-14-183 |
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author | Ho, Roger C Zhang, Melvyn WB Tsang, Tammy Y Toh, Anastasia H Pan, Fang Lu, Yanxia Cheng, Cecilia Yip, Paul S Lam, Lawrence T Lai, Ching-Man Watanabe, Hiroko Mak, Kwok-Kei |
author_facet | Ho, Roger C Zhang, Melvyn WB Tsang, Tammy Y Toh, Anastasia H Pan, Fang Lu, Yanxia Cheng, Cecilia Yip, Paul S Lam, Lawrence T Lai, Ching-Man Watanabe, Hiroko Mak, Kwok-Kei |
author_sort | Ho, Roger C |
collection | PubMed |
description | BACKGROUND: This study evaluates the association between Internal Addiction (IA) and psychiatric co-morbidity in the literature. METHODS: Meta-analyses were conducted on cross-sectional, case–control and cohort studies which examined the relationship between IA and psychiatric co-morbidity. Selected studies were extracted from major online databases. The inclusion criteria are as follows: 1) studies conducted on human subjects; 2) IA and psychiatric co-morbidity were assessed by standardised questionnaires; and 3) availability of adequate information to calculate the effect size. Random-effects models were used to calculate the aggregate prevalence and the pooled odds ratios (OR). RESULTS: Eight studies comprising 1641 patients suffering from IA and 11210 controls were included. Our analyses demonstrated a significant and positive association between IA and alcohol abuse (OR = 3.05, 95% CI = 2.14-4.37, z = 6.12, P < 0.001), attention deficit and hyperactivity (OR = 2.85, 95% CI = 2.15-3.77, z = 7.27, P < 0.001), depression (OR = 2.77, 95% CI = 2.04-3.75, z = 6.55, P < 0.001) and anxiety (OR = 2.70, 95% CI = 1.46-4.97, z = 3.18, P = 0.001). CONCLUSIONS: IA is significantly associated with alcohol abuse, attention deficit and hyperactivity, depression and anxiety. |
format | Online Article Text |
id | pubmed-4082374 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-40823742014-07-05 The association between internet addiction and psychiatric co-morbidity: a meta-analysis Ho, Roger C Zhang, Melvyn WB Tsang, Tammy Y Toh, Anastasia H Pan, Fang Lu, Yanxia Cheng, Cecilia Yip, Paul S Lam, Lawrence T Lai, Ching-Man Watanabe, Hiroko Mak, Kwok-Kei BMC Psychiatry Research Article BACKGROUND: This study evaluates the association between Internal Addiction (IA) and psychiatric co-morbidity in the literature. METHODS: Meta-analyses were conducted on cross-sectional, case–control and cohort studies which examined the relationship between IA and psychiatric co-morbidity. Selected studies were extracted from major online databases. The inclusion criteria are as follows: 1) studies conducted on human subjects; 2) IA and psychiatric co-morbidity were assessed by standardised questionnaires; and 3) availability of adequate information to calculate the effect size. Random-effects models were used to calculate the aggregate prevalence and the pooled odds ratios (OR). RESULTS: Eight studies comprising 1641 patients suffering from IA and 11210 controls were included. Our analyses demonstrated a significant and positive association between IA and alcohol abuse (OR = 3.05, 95% CI = 2.14-4.37, z = 6.12, P < 0.001), attention deficit and hyperactivity (OR = 2.85, 95% CI = 2.15-3.77, z = 7.27, P < 0.001), depression (OR = 2.77, 95% CI = 2.04-3.75, z = 6.55, P < 0.001) and anxiety (OR = 2.70, 95% CI = 1.46-4.97, z = 3.18, P = 0.001). CONCLUSIONS: IA is significantly associated with alcohol abuse, attention deficit and hyperactivity, depression and anxiety. BioMed Central 2014-06-20 /pmc/articles/PMC4082374/ /pubmed/24947851 http://dx.doi.org/10.1186/1471-244X-14-183 Text en Copyright © 2014 Ho et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Ho, Roger C Zhang, Melvyn WB Tsang, Tammy Y Toh, Anastasia H Pan, Fang Lu, Yanxia Cheng, Cecilia Yip, Paul S Lam, Lawrence T Lai, Ching-Man Watanabe, Hiroko Mak, Kwok-Kei The association between internet addiction and psychiatric co-morbidity: a meta-analysis |
title | The association between internet addiction and psychiatric co-morbidity: a meta-analysis |
title_full | The association between internet addiction and psychiatric co-morbidity: a meta-analysis |
title_fullStr | The association between internet addiction and psychiatric co-morbidity: a meta-analysis |
title_full_unstemmed | The association between internet addiction and psychiatric co-morbidity: a meta-analysis |
title_short | The association between internet addiction and psychiatric co-morbidity: a meta-analysis |
title_sort | association between internet addiction and psychiatric co-morbidity: a meta-analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4082374/ https://www.ncbi.nlm.nih.gov/pubmed/24947851 http://dx.doi.org/10.1186/1471-244X-14-183 |
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