• Research in Community and Public Health Nursing
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• v.20 no.3
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• pp.316-326
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• 2009

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.

• Research in Community and Public Health Nursing
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• v.18 no.3
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• pp.460-468
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• 2007

Purpose: The purpose of this study was to investigate the relation between adolescents' internet addiction and mental health. Methods: The Internet addiction level was measured with K-Scale developed for Korean adolescents by Korea Agency Digital Opportunity & Promotion (2006) and the mental health level was measured with SCL-90-R developed by Derogatis (1977) and adapted for Korean adolescents by Kim, Kim. & Won (1984). Collected data was analyzed by the mean${\pm}$SD, t-test, ANOVA, Scheffe and Pearson correlation coefficient (SPSS 12.0) Results: 1. The Internet addiction level appeared to be 'Addiction' in 19%, 'Latency addiction' in 27% and 'Normal' in 54%. 2. The Internet addiction level was different according to sex, use, frequency and using time per day. The mental health level was different according to grade, sex, the father's education, the mother's education, frequency and using time per day. 3. The correlation between Internet addiction and mental health was found significant. Conclusion: The Internet addiction level was confirmed to have an influence on mental health. We offered basis data for preventing and treating Internet addiction in adolescents.

• Journal of Preventive Medicine and Public Health
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• v.38 no.3
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• pp.298-306
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• 2005

Objectives : To develop measurement scales of Internet addiction, and propose a Korean Internet Addiction Index (K-IAI) and classification criteria for Internet addiction from the threshold scores developed. Methods : The identification of the concept of 'Internet addiction' was based on the literature review. To select the scales, an exploratory factor analysis was applied. A construct validation was tested by a confirmatory factor analysis (CFA) with a structured equation model (SEM). In testing the validity of the classification criteria, ANOVA and non-recursive models with SEM were applied. Results : Out of 1,080 questionnaires distributed, 1,037 were returned,; a response rate of 96%. The Cronbach-$\alpha$ of all items was over 0.75. Using an exploratory factor analysis in the condition of a 6 factor constrain as the study model proposed, 23 of the initial 28 items were identified. In testing the discriminant and convergent validity of the selected 23 scales using CFA with SEM, the Internet addiction model explained about 93% of all variances of the data collected, and all the latent variables significantly explained the designated scales. A K-IAI was proposed using the T-scores of the sum of all factor averages. In the classification of users, the basic concept was a twostandard deviation approach of the K-IAI as the criteria of MMPI. The addiction group had a score ${\geq}70$ in the K-IAI, the pre-addiction group between ${\geq}50$ and <70, and the average user group <50. The Internet use times of the classified groups were statistically different in the ANOVA and multiple comparisons. Conclusions : The K-IAI is a reliable and valid instrument for measuring Internet addiction. Moreover, the taxonomy of the groups was also verified using various methods.

• Child Health Nursing Research
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• v.12 no.1
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• pp.34-43
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• 2006

Purpose: The purpose of this study was to identify the degree of internet addiction and factors affecting internet addiction in elementary school students. Method: The participants in this study were 1,328 students in 4, 5 or 6 grades of elementary school. They were recruited from two elementary schools. Data collection was conducted using of 6 questionnaires that were modified by the investigator. The data were analyzed with the SPSS win 10.0 program using descriptive statistics, Pearson correlation coefficients and stepwise multiple regression. Results: 1) The mean of total item score for internet addiction was 2.1, which was slightly low. Of respondents in this research 48.4% normally use the internet, while 48.5% addictively use the internet and as high as 3.1% were serious internet-addicted. 2) There was a significant correlation between internet addiction, self-esteem, aggression, impulsivity, parent's support and friend's support(γ= -.15 ～ .44). 3) Stepwise multiple regression analysis showed that amount of time spent on the internet per day, impulsivity, aggression, gender, self-esteem, duration to use of internet, father's age, and the major place where the internet was used were the predictors of internet addiction and accounted for 47% of the variance in internet addiction. Conclusion: Time spend on the internet per day, impulsivity, aggression, gender, self-esteem, duration to use of internet, father's age, the major place where the internet was used accounted for internet addiction in elementary school students. Therefore it is necessary to develop nursing interventions and to further identify the depth of the relationship of the related factors in order to decrease internet addiction.

• Research in Community and Public Health Nursing
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• v.18 no.3
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• pp.452-459
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• 2007

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.

• Journal of the Korean Home Economics Association
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• v.48 no.1
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• pp.67-81
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• 2010

Consumer researchers found that compulsive buying was a part of a category of compulsive consumption that was interrelated to addictive and repetitive behaviors. The present study empirically examined the co-morbidity of compulsive buying and Internet addiction among e-commerce users in terms of consumption disorders. Although the prevalence of Internet use and on-line sales remarkably increase in recent years, almost no study examines on-line compulsive buying behavior. This study explored the link between compulsive buying and Internet addiction among e-commerce users, and investigated the characteristics of on-line shoppers with respect to two forms of compulsive consumption, which were divided into compulsive buying and Internet addiction. Additionally, factors that related to compulsive buying behaviors among e-commerce users were also examined. The present research was conducted using a convenience sample of 394 young adults between the ages of 20-30, and the Faber and O'Guinn's DSCB scale and the Widyanto's Internet addiction scale (IA) were used. Confirmatory factor analyses were utilized to evaluate the structure of the DSCB and IA, and a Probit model was used to examine determinants for the compulsive buying behaviors of e-commerce users. E-commerce users were classified into four groups; high compulsion and high addiction, low compulsion and low addiction, high compulsion and low addiction, and low compulsion and high addiction. Consumers with high compulsion and high addiction spent higher amounts of money on their on-line purchases and were frequently connected with the Internet compared to the three other consumer groups. Consumers with compulsive buying behaviors were also found to have significantly greater Internet addiction tendencies than typical buyers. Compulsive buyers were more likely to engage in Internet addiction and the number of purchasing via on-line shopping mall, and had higher materialism. Policy implications and suggestions for consumer education programs were discussed.

• Journal of Korean Academy of Nursing
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• v.34 no.3
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• pp.541-551
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• 2004

Purpose: This study was to identify the effects of the predictive factors of Internet addiction and to develop a predictive model that explains Internet addiction among adolescents in Korea. Method: Data was collected from 664 adolescents in Puasan and Ulsan. Data analysis was done using the SPSS 10.0 Win Program for descriptive and correlational statistics and the LISREL 8.53 Win Program for Covariance structural analysis. Result: The fit of the hypothetical model to the data was moderate, it was modified by deleting four paths. Compared to the hypothetical model, the revised one had a better fit to the data($\chi^2$/df=6.50, GFI=.99, AGFI=.90, RMR=.02, NNFI=.88, NFI=.98, CN=279). Gender, friend support, and loneliness had significant direct effects on Internet addiction. The direct and indirect effect of self-esteem on Internet addiction was significant. The indirect effect of family support on Internet addiction was significant but its direct effect was insignificant. The direct and indirect effects of stress and impulsiveness on Internet addiction were significant but their total effects were insignificant. Conclusion: Finally, to decrease loneliness, and to increase family support and self-esteem, an effective intervention program and education should be developed to prevent Internet addiction of adolescents.

• Korean Journal of Health Education and Promotion
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• v.30 no.2
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• pp.1-10
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• 2013

Objectives: The objective of this study was to assess the relationship between internet addiction and health behaviors & mental health among Korean adolescents. Methods: Data from the 2010 Korean Youth Risk Behavior Web-based Survey was analyzed. Using the Korean Internet Addiction Proneness Scale for Youth-Short Form: Self Report developed by the Korean National Information Society Agency in 2008, subjects were classified into 3 groups for internet addiction including general user, potential-risk group, and high-risk group. The health behaviors and mental health were compared among the groups for internet addiction by gender. Results: There was significantly higher prevalence of internet addiction including potential-risk group and high-risk group in boys(14.1%) than in girls(8.8%). There were significant odds ratios of perceived stress, perceived depression, perceived health and happiness, and satisfaction of sleeping in both genders at potential-risk group and high-risk group compared to general user for the internet addiction. The odds ratios of smoking at high risk group, alcohol drinking at potential risk group, eating breakfast at high risk group, and moderate physical activity at both risk groups among boys were significant. Among girls at both risk group, the odds ratios of smoking, alcohol drinking, and eating breakfast were significant. Conclusions: This study reveals a significant association among internet addiction, and health behaviors, and mental health in Korean adolescents.

• Korean Journal of Biological Psychiatry
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• v.23 no.4
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• pp.173-178
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• 2016

Objectives The purpose of this study was to investigate the relationships among circadian types, depressive mood and internet addiction and to identify the mediating effect of depressive mood between circadian types and internet addiction in Korean College Students. Methods A total of 2632 participants completed questionnaires, which included the Korean translation of the Composite Scale of Morningness (CSM), the Patient Health Questionnaire (PHQ-9), and the Korean version of the Internet Addiction Test (KIAT). Statistical analyses were done using correlation analysis, analysis of covariance and multiple linear regression. Results The CSM score was negatively associated with the PHQ-9 score (r = -0.226, p < 0.001) and the KIAT score (r = -0.218, p < 0.001). The eveningness group showed higher scores in depressive mood and internet addiction than the morningness group (p < 0.001). Depressive mood showed a partial mediating effect between circadian types and internet addiction (${\beta}=0.255$, p < 0.001). Conclusions Internet addiction was associated with circadian types and depressive mood. These results suggest that depression and circadian rhythm management would contribute to the prevention of internet addiction.

• Child Health Nursing Research
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• v.11 no.4
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• pp.405-414
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• 2005

Purpose: This study was a cross-sectional descriptive survey to identify school nurses' knowledge, educational needs and providing education about Internet addiction. Method: A total of 198 school nurses working in schools located in Gyunggi Province and the cities of Ulsan, Daegu, and Pohang participated in the study A self-report scale was used to collect data. It included 53 items measuring school nurses' knowledge, their educational needs and performing related to Internet addiction. Results: The mean score for knowledge of Internet addiction was 13.12 (SD=3.13), indicating a moderate level of knowledge. The highest frequency, $24.7\%$ of the school nurses agreed that the computer teacher is the appropriate person to do educate on Internet addiction, followed by the school nurse with another teacher ($24.2\%$). Only $40.4\%$ of the nurses had any experience in providing students with education about Internet addiction. The main reason for not providing education about Internet addiction was that there was no time ($57.6\%$). Education was reported most frequently as being provided by the class teacher ($36.3\%$), followed by school nurse ($31.3\%$). Conclusions: It is important to expand the role of school nurses in preventing and responding to Internet addiction and to develop training programs designed to further develop their abilities in teaching and counseling.