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      Association between problematic Internet use, sleep disturbance, and suicidal behavior in Chinese adolescents

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          Abstract

          Background and aims

          This large-scale study aimed to test (a) associations of problematic Internet use (PIU) and sleep disturbance with suicidal ideation and suicide attempts among Chinese adolescents and (b) whether sleep disturbance mediates the association between PIU and suicidal behavior.

          Methods

          Data were drawn from the 2017 National School-based Chinese Adolescents Health Survey. A total of 20,895 students’ questionnaires were qualified for analysis. The Young’s Internet Addiction Test was used to assess PIU, and level of sleep disturbance was measured by the Pittsburgh Sleep Quality Index. Multilevel logistic regression models and path models were utilized in analyses.

          Results

          Of the total sample, 2,864 (13.7%) reported having suicidal ideation, and 537 (2.6%) reported having suicide attempts. After adjusting for control variables and sleep disturbance, PIU was associated with an increased risk of suicidal ideation (AOR = 1.04, 95% CI = 1.03−1.04) and suicide attempts (AOR = 1.03, 95% CI = 1.02−1.04). Findings of the path models showed that the standardized indirect effects of PIU on suicidal ideation (standardized β estimate = 0.092, 95% CI = 0.082−0.102) and on suicide attempts (standardized β estimate = 0.082, 95% CI = 0.068−0.096) through sleep disturbance were significant. Conversely, sleep disturbance significantly mediated the association of suicidal behavior on PIU.

          Discussion and conclusions

          There may be a complex transactional association between PIU, sleep disturbance, and suicidal behavior. The estimates of the mediator role of sleep disturbance provide evidence for the current understanding of the mechanism of the association between PIU and suicidal behavior. Possible concomitant treatment services for PIU, sleep disturbance, and suicidal behavior were recommended.

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          Most cited references49

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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 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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              Prevalence of pathological internet use among adolescents in Europe: demographic and social factors.

              To investigate the prevalence of pathological internet use (PIU) and maladaptive internet use (MIU) among adolescents in 11 European countries in relation to demographic, social factors and internet accessibility. Cross-sectional survey. The 7th Framework European Union (EU) funded project, Saving and Empowering Young Lives in Europe (SEYLE), is a randomized controlled trial (RCT) evaluating interventions for risk behaviours among adolescents in Austria, Estonia, France, Germany, Hungary, Ireland, Israel, Italy, Romania, Slovenia and Spain, with Sweden serving as the coordinating centre. A total of 11 956 adolescents (female/male: 6731/5225; mean age: 14.9 ± 0.89) recruited from randomly selected schools within the 11 study sites. Internet users were classified by gender into three categories: adaptive, maladaptive and pathological, based on their score in the Young Diagnostic Questionnaire for Internet Addiction (YDQ). The overall prevalence of PIU was 4.4%; it was higher among males than females (5.2% versus 3.8%) and differed between countries (χ(2)  = 309.98; d.f. = 20; P < 0.001). PIU correlated significantly with mean hours online and male gender. The highest-ranked online activities were watching videos, frequenting chatrooms and social networking; significantly higher rates of playing single-user games were found in males and social networking in females. Living in metropolitan areas was associated with PIU. Students not living with a biological parent, low parental involvement and parental unemployment showed the highest relative risks of both MIU and PIU. Across a range of countries in Europe, using the Young Diagnostic Questionnaire for Internet Addiction yields a prevalence of 'pathological internet use' of 4.4% among adolescents, but varies by country and gender; adolescents lacking emotional and psychological support are at highest risk. © 2012 The Authors, Addiction © 2012 Society for the Study of Addiction.
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                Author and article information

                Journal
                jba
                JBA
                Journal of Behavioral Addictions
                J Behav Addict
                Akadémiai Kiadó (Budapest )
                2062-5871
                2063-5303
                26 November 2018
                December 2018
                : 7
                : 4
                : 965-975
                Affiliations
                [ 1 ]Department of Medical statistics and Epidemiology, School of Public Health, Sun Yat-sen University , Guangzhou, People’s Republic of China
                [ 2 ]Department of Nutrition, Guangdong Engineering Technology Research Center of Nutrition Translation , Guangzhou, People’s Republic of China
                [ 3 ]Department of Drug Abuse Control, Center for ADR monitoring of Guangdong , Guangzhou, People’s Republic of China
                [ 4 ]School of Public Health, Université Libre de Bruxelles (ULB) , Bruxelles, Belgium
                [ 5 ]Research Center for Public Health, Tsinghua University , Beijing, People’s Republic of China
                Author notes
                [* ]Corresponding author: Ci-Yong Lu, MD, PhD; Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, 74 Zhongshan Rd 2, Guangzhou 510080, People’s Republic of China; Phone: +86 20 87332477; Fax: +86 20 87331882; E-mail: luciyong@ 123456mail.sysu.edu.cn
                Article
                10.1556/2006.7.2018.115
                6376369
                30474380
                f4601ceb-099d-48a9-a29f-ea6522614b60
                © 2018 The Author(s)

                This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium for non-commercial purposes, provided the original author and source are credited, a link to the CC License is provided, and changes – if any – are indicated.

                History
                : 17 August 2018
                : 17 October 2018
                : 28 October 2018
                Page count
                Figures: 2, Tables: 4, Equations: 0, References: 56, Pages: 11
                Funding
                Funding sources: This work was supported by National Natural Science Foundation of China (grant no. 81761128030) and the Science Foundation for the Youth Scholars of Sun Yat-sen University.
                Categories
                FULL-LENGTH REPORT

                Evolutionary Biology,Medicine,Psychology,Educational research & Statistics,Social & Behavioral Sciences
                sleep disturbance,mediation effects,adolescents,problematic Internet use,suicidal behavior

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