Dataset Information

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

ABSTRACT: 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.

SUBMITTER: Ho RC

PROVIDER: S-EPMC4082374 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature

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

Ho Roger C RC Zhang Melvyn W B MW Tsang Tammy Y TY Toh Anastasia H AH Pan Fang F Lu Yanxia Y Cheng Cecilia C Yip Paul S PS Lam Lawrence T LT Lai Ching-Man CM Watanabe Hiroko H Mak Kwok-Kei KK

BMC psychiatry 20140620

<h4>Background</h4>This study evaluates the association between Internal Addiction (IA) and psychiatric co-morbidity in the literature.<h4>Methods</h4>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 sta ...[more]

PMID: 24947851

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Project description:Background: Nursing students who suffer from co-occurring anxiety experience added difficulties when communicating and interacting with others in a healthy, positive, and meaningful way. Previous studies have found strong positive correlations between Internet addiction (IA) and anxiety, suggesting that nursing students who report severe IA are susceptible to debilitating anxiety as well. To date, however, network analysis (NA) studies exploring the nature of association between individual symptoms of IA and anxiety have not been published. Objective: This study examined associations between symptoms of IA and anxiety among nursing students using network analysis. Methods: IA and anxiety symptoms were assessed using the Internet Addiction Test (IAT) and the Generalized Anxiety Disorder Screener (GAD-7), respectively. The structure of IA and anxiety symptoms was characterized using "Strength" as a centrality index in the symptom network. Network stability was tested using a case-dropping bootstrap procedure and a Network Comparison Test (NCT) was conducted to examine whether network characteristics differed on the basis of gender and by region of residence. Results: A total of 1,070 nursing students participated in the study. Network analysis showed that IAT nodes, "Academic decline due to Internet use," "Depressed/moody/nervous only while being off-line," "School grades suffer due to Internet use," and "Others complain about your time spent online" were the most influential symptoms in the IA-anxiety network model. Gender and urban/rural residence did not significantly influence the overall network structure. Conclusion: Several influential individual symptoms including Academic declines due to Internet use, Depressed/moody/nervous only while being off-line, School grades suffering due to Internet use and Others complain about one's time spent online emerged as potential targets for clinical interventions to reduce co-occurring IA and anxiety. Additionally, the overall network structure provides a data-based hypothesis for explaining potential mechanisms that account for comorbid IA and anxiety.

Project description:ObjectiveThe aim of this paper was to systematically review and meta-analyse the prevalence of co-morbid psychiatric disorders (DSM-IV Axis I disorders) among treatment-seeking problem gamblers.MethodsA systematic search was conducted for peer-reviewed studies that provided prevalence estimates of Axis I psychiatric disorders in individuals seeking psychological or pharmacological treatment for problem gambling (including pathological gambling). Meta-analytic techniques were performed to estimate the weighted mean effect size and heterogeneity across studies.ResultsResults from 36 studies identified high rates of co-morbid current (74.8%, 95% CI 36.5-93.9) and lifetime (75.5%, 95% CI 46.5-91.8) Axis I disorders. There were high rates of current mood disorders (23.1%, 95% CI 14.9-34.0), alcohol use disorders (21.2%, 95% CI 15.6-28.1), anxiety disorders (17.6%, 95% CI 10.8-27.3) and substance (non-alcohol) use disorders (7.0%, 95% CI 1.7-24.9). Specifically, the highest mean prevalence of current psychiatric disorders was for nicotine dependence (56.4%, 95% CI 35.7-75.2) and major depressive disorder (29.9%, 95% CI 20.5-41.3), with smaller estimates for alcohol abuse (18.2%, 95% CI 13.4-24.2), alcohol dependence (15.2%, 95% CI 10.2-22.0), social phobia (14.9%, 95% CI 2.0-59.8), generalised anxiety disorder (14.4%, 95% CI 3.9-40.8), panic disorder (13.7%, 95% CI 6.7-26.0), post-traumatic stress disorder (12.3%, 95% CI 3.4-35.7), cannabis use disorder (11.5%, 95% CI 4.8-25.0), attention-deficit hyperactivity disorder (9.3%, 95% CI 4.1-19.6), adjustment disorder (9.2%, 95% CI 4.8-17.2), bipolar disorder (8.8%, 95% CI 4.4-17.1) and obsessive-compulsive disorder (8.2%, 95% CI 3.4-18.6). There were no consistent patterns according to gambling problem severity, type of treatment facility and study jurisdiction. Although these estimates were robust to the inclusion of studies with non-representative sampling biases, they should be interpreted with caution as they were highly variable across studies.ConclusionsThe findings highlight the need for gambling treatment services to undertake routine screening and assessment of psychiatric co-morbidity and provide treatment approaches that adequately manage these co-morbid disorders. Further research is required to explore the reasons for the variability observed in the prevalence estimates.

Project description:AimWomen during the postpartum period are at risk for psychiatric disorders such as postpartum depression (PPD), post-traumatic stress disorder (PTSD), and anxiety. It is controversial whether labour epidural analgesia have a protective role on PPD, PTSD, and anxiety or not. This study is a meta-analysis of previously published observational studies to investigate the association between epidural analgesia and PPD, PTSD, and anxiety.MethodsWe searched Cochran Library, PubMed, ProQuest, EMBASE, Scopus, Web of Science, PsycINFO, and MEDLINE from inception until December 2022. The outcome measures were positive screen of PPD, PTSD, and anxiety among women who received labour epidural analgesia. The Newcastle-Ottawa Scale was used to assess the quality of the observational studies. Statistical analysis was performed using Stata 17.0 software. The mean differences or odds ratios were pooled based on random effect.ResultsWe included 31 studies (12,064 women) in the review. The meta-analysis of PPD studies reported mean (standard deviation) showed no significant association between epidural analgesia and PPD (Mean Difference = 0.01; 95% Confidence Interval = -0.14 to 0.16; p-value = 0.88). The meta-analysis of PPD studies reported percentage showed no statistically significant difference in terms of the chance of depression between the exposed and non-exposed groups (Log Odds Ratio = -0.61; 95% CI = -1.48 to 0.26; p-value = 0.17). The meta-analysis of PPD studies reported OR showed indicate a lower chance of depression in the epidural group compared to the non-epidural group (Effect size = 1.01; 95% CI = 0.64 to 1.38; P-value = 0.00). In the case of PTSD, due to the heterogeneity of the tools and the methodology of the studies, it was impossible to reach a definitive conclusion and measure the studies in a meta-analysis. The meta-analysis of anxiety studies showed that no significant association between epidural analgesia and anxiety (MD = -1.36; 95% CI = -3.38 to 1.14; p-value = 0.29).ConclusionBased on the meta-analysis of observational studies, epidural analgesia for labour pain relief has no protective effect on postpartum psychiatric disorders.

Dataset Information

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

Publications

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

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