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The association between internet addiction and psychiatric co-morbidity: a meta-analysis

Roger HoDepartment of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, SingaporeMelvyn ZhangDepartment of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, SingaporeTammy YY TsangDepartment of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, SingaporeAnastasia H TohDepartment of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, SingaporeFang PanDepartment of Medical Psychology, Shandong University, Shandong, ChinaYanxia LuDepartment of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, SingaporeCecilia ChengDepartment of Psychology, University of Hong Kong, Hong KongPaul S. F. YipDepartment of Social Work and Social Administration, University of Hong Kong, Hong KongLawrence LamDiscipline of Pediatrics and Child Health, Sydney Medical School, The University of Sydney, Sydney, AustraliaChing Man LaiDepartment of Psychology, Chinese University of Hong Kong, Hong KongHiroko WatanabeDepartment of Children and Women’s Health, Osaka University Graduate School of Medicine, Osaka, JapanKwok‐Kei MakDepartment of Community Medicine and School of Public Health, Faculty of Medicine, University of Hong Kong, 21 Sassoon Road, Pokfulam, Hong Kong. [email protected]

2014en

ABI

Annotatsiya

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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DOI: 10.1186/1471-244x-14-183

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