The aim of the study is to examine the differences in the diversity of family factors between adolescents with and without Internet addiction and substance use experience. A total of 3662 students (2328 boys and 1334 girls) were recruited from seven junior high schools, six senior high schools, and four vocational high schools in southern Taiwan. Internet addiction and substance experience were classified according to the score of Chen Internet Addiction Scale Questionnaires for Experience of Substance use. The family factors assessed included perceived family satisfaction, family economic status, parents' marriage status, care-givers, the frequency of intra-family conflict, families' habitual alcohol use, and perceived parents' or care givers' attitude toward adolescents' substance use. This study demonstrated that the characteristics of higher parent-adolescent conflict, habitual alcohol use of siblings, perceived parents' positive attitude to adolescent substance use, and lower family function could be used develop a predictive model for Internet addiction in the multiple logistic regression analysis. The former three family factors were also sufficient in themselves to develop a predictive model for substance use experience. The results revealed that adolescent Internet addiction and substance use experience shared similar family factors, which indicate that Internet addiction and substance use should be considered in the group of behavioral problem syndromes. A family-based preventive approach for Internet addiction and substance use should be introduced for adolescents with negative family factors.
Aims:The aim of the present study was to compare psychiatric symptoms between adolescents with and without Internet addiction, as well as between analogs with and without substance use.Methods: A total of 3662 students (2328 male and 1334 female) were recruited for the study. Self-report scales were utilized to assess psychiatric symptoms, Internet addiction, and substance use.Results: It was found that Internet addiction or substance use in adolescents was associated with more severe psychiatric symptoms. Hostility and depression were associated with Internet addiction and substance use after controlling for other symptoms.Conclusions: This result partially supports the hypothesis that Internet addiction should be included in the organization of problem behavior theory, and it is suggested that prevention and intervention can best be carried out when grouped with other problem behaviors. Moreover, more attention should be devoted to hostile and depressed adolescents in the design of preventive strategies and the related therapeutic interventions for Internet addiction.
The aims of the present study were to develop diagnostic criteria of Internet addiction for adolescents and to examine the discriminating potential and validity of diagnostic criteria by an empirical community study among adolescent populations. We developed 13 candidate diagnostic criteria for characteristic symptoms of Internet addiction in adolescents. A total of 468 adolescents completed the Chen Internet Addiction Scale (CIAS) and were systematically assessed for Internet-using behaviors by seven psychiatrists using the diagnostic interview schedule. The sensitivity, specificity, and diagnostic accuracy of the 13 candidate diagnostic criteria were analyzed with references to the interviewers' global clinical impressions and CIAS results. The cutoff point of the diagnostic criteria to differentiate the Internet-addicted subjects with nonaddicted ones was then determined by the best diagnostic accuracy and the receiver operating characteristic curve. This study selected nine of the 13 candidate diagnostic criteria to construct the diagnostic criteria of Internet addiction for adolescents, which were composed of three main criteria: characteristic symptoms of Internet addiction, functional impairment secondary to Internet use, and exclusive criteria. The diagnostic criteria had high diagnostic accuracy, specificity, negative predictive value, accepted sensitivity, and accepted positive predictive rate. The validity of the diagnostic criteria proposed in this study was further confirmed by comparing the demographic and Internet-using characteristics between those with and without Internet addiction. The diagnostic criteria for Internet addiction can provide health care professionals with a means to communicate and make comparisons of clinical cases.
The aim of this study was to establish the optimal cut-off points of the Chen Internet Addiction Scale (CIAS), to screen for and diagnose Internet addiction among adolescents in the community by using the well-established diagnostic criteria of Internet addiction. This survey of 454 adolescents used screening (57/58) and diagnostic (63/64) cut-off points of the CIAS, a self-reported instrument, based on the results of systematic diagnostic interviews by psychiatrists. The area under the curve of the receiver operating characteristic curve revealed that CIAS has good diagnostic accuracy (89.6%). The screening cut-off point had high sensitivity (85.6%) and the diagnostic cut-off point had the highest diagnostic accuracy, classifying 87.6% of participants correctly. Accordingly, the screening point of the CIAS could provide a screening function in two-stage diagnosis, and the diagnostic point could serve as a diagnostic criterion in one-stage massive epidemiologic research.
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