Research in Community and Public Health Nursing

Original Articles

A Study on Teenagers' Internet Addiction and Influencing Factors: Chun Mi Kim; J Korean Acad Community Health Nurs. 2009;20(3):316-326. Published online September 30, 2009

Abstract PDF: PURPOSE
The purpose of this study was to examine teenagers' Internet addiction and to find factors influencing it.
METHODS
Data were collected from 596 middle and high school students between June 1 and June 20, 2009 with a self-rating questionnaire. The data were processed with SPSS/WIN 12.0.
RESULTS
(1) 20.3% of the students were spending over three hours a day in Internet use. The percentages of mild and serious Internet addiction were 22.3 and 2.1, respectively. (2) The stronger Internet addiction was, the higher stress was and the lower social support was. There was a negative correlation between stress and social support (r = -.296, p < .01). There was also a positive correlation between Internet addiction and stress (r = .264, p < .01) while a negative correlation between Internet addiction and social support (r = -.127, p < .01). (3) Among the subjects' characteristics, sex, school and family type, frequency of processed food intake, average daily Internet use hour and sleeping hour, subjective health perception, and satisfaction level with parents and family made difference in the Internet addiction level.
CONCLUSION
The result of this study will provide useful background data for the selection of target population, stress management and social support promotion programs to prevent teenagers' Internet addiction.

Stress and Social Support According to Internet Addiction: Yeon Hee Choi, Boo Deuk Suh, Eun Hee Choi; J Korean Acad Community Health Nurs. 2007;18(3):452-459. Published online September 30, 2007

Abstract PDF: PURPOSE
The purpose of this study was to examine stress and social support according to Internet addiction in juveniles.
METHOD
Subjects were middle and high school students in Daegu (N=492). Data were collected using a self-rating questionnaire including demographic data, which was the Korean versions of an Internet addiction scale, a stress scale and a social support scale.
RESULTS
Stress and social support were significantly different according to Internet addition. Significant correlations were observed between Internet addiction and stress and between Internet addiction and social support.
CONCLUSION
These results indicate that the more addictive to the Internet a student is, the more stress and the less social support he/she has. Therefore, further studies are needed to generalize these results and examine widely the effects of Internet addiction.

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