Literature DB >> 19486737

Proposed diagnostic criteria and the screening and diagnosing tool of Internet addiction in college students.

Chih-Hung Ko1, Ju-Yu Yen, Sue-Huei Chen, Ming-Jen Yang, Huang-Chi Lin, Cheng-Fang Yen.   

Abstract

The aims of this study were to develop diagnostic criteria of Internet addiction for college students (DC-IA-C) with diagnostic interviews and to establish the optimal cutoff points of the Chen Internet Addiction Scale (CIAS) for the purposes of screening for and making the diagnosis of Internet addiction. A total of 216 college students (132 male and 84 female) were recruited in the study. The results demonstrated that 5/6 cutoff points of criteria A in DC-IA-C had the best diagnostic accuracy (95.9%). Besides, 63/64 and 67/68 cutoff points of the CIAS were evaluated to be the best screening and diagnostic cutoff points, respectively. The DC-IA-C can provide health care professionals with a means to diagnose and communicate about Internet addiction among college students, and the screening and diagnostic cutoff points of CIAS could provide a screening instrument or a discriminative instrument in surveys for Internet addiction among college students.

Mesh:

Year:  2009        PMID: 19486737     DOI: 10.1016/j.comppsych.2007.05.019

Source DB:  PubMed          Journal:  Compr Psychiatry        ISSN: 0010-440X            Impact factor:   3.735


  56 in total

1.  Internet addiction: Neuroimaging findings.

Authors:  Kai Yuan; Wei Qin; Yijun Liu; Jie Tian
Journal:  Commun Integr Biol       Date:  2011-11-01

2.  Problematic Internet use: an overview.

Authors:  Elias Aboujaoude
Journal:  World Psychiatry       Date:  2010-06       Impact factor: 49.548

Review 3.  Introduction to behavioral addictions.

Authors:  Jon E Grant; Marc N Potenza; Aviv Weinstein; David A Gorelick
Journal:  Am J Drug Alcohol Abuse       Date:  2010-09       Impact factor: 3.829

4.  Psychometric Validation of the Chinese Compulsive Internet Use Scale (CIUS) with Taiwanese High School Adolescents.

Authors:  Amandeep Dhir; Sufen Chen; Marko Nieminen
Journal:  Psychiatr Q       Date:  2015-12

5.  Altered brain activation during response inhibition and error processing in subjects with Internet gaming disorder: a functional magnetic imaging study.

Authors:  Chih-Hung Ko; Tsyh-Jyi Hsieh; Chiao-Yun Chen; Cheng-Fang Yen; Cheng-Sheng Chen; Ju-Yu Yen; Peng-Wei Wang; Gin-Chung Liu
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2014-01-28       Impact factor: 5.270

6.  Craving behavioral intervention for internet gaming disorder: remediation of functional connectivity of the ventral striatum.

Authors:  Jin-Tao Zhang; Shan-Shan Ma; Chiang-Shan R Li; Lu Liu; Cui-Cui Xia; Jing Lan; Ling-Jiao Wang; Ben Liu; Yuan-Wei Yao; Xiao-Yi Fang
Journal:  Addict Biol       Date:  2016-11-28       Impact factor: 4.280

Review 7.  Gambling disorder and other behavioral addictions: recognition and treatment.

Authors:  Yvonne H C Yau; Marc N Potenza
Journal:  Harv Rev Psychiatry       Date:  2015 Mar-Apr       Impact factor: 3.732

8.  Problematic Internet Use, Mental Health and Impulse Control in an Online Survey of Adults.

Authors:  Yvonne H C Yau; Marc N Potenza; Marney A White
Journal:  J Behav Addict       Date:  2013       Impact factor: 6.756

9.  Activation of the ventral and dorsal striatum during cue reactivity in Internet gaming disorder.

Authors:  Lu Liu; Sarah W Yip; Jin-Tao Zhang; Ling-Jiao Wang; Zi-Jiao Shen; Ben Liu; Shan-Shan Ma; Yuan-Wei Yao; Xiao-Yi Fang
Journal:  Addict Biol       Date:  2016-01-05       Impact factor: 4.280

10.  Development of short-form and screening cutoff point of the Smartphone Addiction Inventory (SPAI-SF).

Authors:  Yu-Hsuan Lin; Yuan-Chien Pan; Sheng-Hsuan Lin; Sue-Huei Chen
Journal:  Int J Methods Psychiatr Res       Date:  2016-09-23       Impact factor: 4.035

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