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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
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.
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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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