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Cheng-Chung Chen

Researcher at Kaohsiung Medical University

Publications -  18
Citations -  2327

Cheng-Chung Chen is an academic researcher from Kaohsiung Medical University. The author has contributed to research in topics: Addiction & Premenstrual dysphoric disorder. The author has an hindex of 14, co-authored 18 publications receiving 2119 citations. Previous affiliations of Cheng-Chung Chen include Kaohsiung Medical University Chung-Ho Memorial Hospital.

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Family factors of internet addiction and substance use experience in Taiwanese adolescents.

TL;DR: It is 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 to develop a predictive model for Internet addiction in the multiple logistic regression analysis.
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Psychiatric symptoms in adolescents with Internet addiction: Comparison with substance use.

TL;DR: Comparisons of psychiatric symptoms between adolescents with and without Internet addiction, as well as between analogs with andWithout substance use are made.
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Proposed diagnostic criteria of Internet addiction for adolescents.

TL;DR: 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.
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Tridimensional personality of adolescents with internet addiction and substance use experience.

TL;DR: Adolescents with high NS and low RD should be provided with effective strategies for preventing Internet addiction and substance use, and the Internet addiction group and the comorbid group should be provide with different preventative strategies focused on HA.
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Screening for Internet addiction: an empirical study on cut-off points for the Chen Internet Addiction Scale.

TL;DR: The area under the curve of the receiver operating characteristic curve revealed that 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.