Chinese Internet Addiction Inventory: Developing a Measure of Problematic Internet Use for Chinese College Students

2007 ◽  
Vol 10 (6) ◽  
pp. 805-812 ◽  
Author(s):  
Zheng Huang ◽  
Mo Wang ◽  
Mingyi Qian ◽  
Jie Zhong ◽  
Ran Tao
Keyword(s):  
College Students ◽  
Internet Addiction ◽  
Internet Use ◽  
Problematic Internet Use ◽  
Chinese College Students

Features and predictors of problematic internet use in Chinese college students

2009 ◽  
Vol 28 (5) ◽  
pp. 485-490 ◽  
Author(s):  
R. L. Huang ◽  
Z. Lu ◽  
J. J. Liu ◽  
Y. M. You ◽  
Z. Q. Pan ◽  
...  
Keyword(s):  
College Students ◽  
Internet Use ◽  
Problematic Internet Use ◽  
Chinese College Students

An Explanatory Model of Problematic Internet Use of Southern Spanish University Students

2021 ◽  
pp. 089443932199865
Author(s):  
José-María Romero-Rodríguez ◽  
José-Antonio Marín-Marín ◽  
Francisco-Javier Hinojo-Lucena ◽  
Gerardo Gómez-García
Keyword(s):  
University Students ◽  
Undergraduate Students ◽  
Internet Addiction ◽  
Structural Equation ◽  
Internet Use ◽  
Sociodemographic Factors ◽  
Equation Model ◽  
Problematic Internet Use ◽  
Moderate Degree ◽  
Cross Sectional

The problematic Internet use (PIU) has become a topic of special relevance since it is a problem that affects the whole world. It has been detected that the population at greatest risk is university students along with adolescents. At the same time, Spain is one of the countries with the highest PIU rate. The purposes of this article were to analyze the presence and degree of Internet addiction among university students and to check the sociodemographic factors that influence the PIU. To this end, 13 hypotheses were put forward and contrasted using a structural equation model. The study adopted a cross-sectional approach by applying the Internet addiction test to a sample of undergraduate students in southern Spain ( n = 1,013). The results indicated a prevalence of PIU among students of almost 12.5% and with a moderate degree of addiction. In turn, the following hypotheses that had a significant effect on the PIU were supported: gender; field of knowledge; living in the parents’ home; Internet daily use for leisure; Internet daily use for academic purposes; number of social networks; sexual orientation; marital status. Finally, the main findings of the study were reviewed, and the main recommendations and implications for mitigating the negative effects of technology and enhancing the positive ones were established.

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