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The Relation between Self Differentiation and School Adjustment Among School Adolescents
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Young Soon Byeon, Hea Shoon Lee
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J Korean Acad Community Health Nurs. 2007;18(4):673-680. Published online December 31, 2007
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 Abstract
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- PURPOSE
The purpose of this study was to investigate the relation between self differentiation and school adjustment among adolescents.
METHODS
The subjects were 356 adolescents. The following research questions were established. The adolescents' self differentiation level was measured based on Bowen's family system theory modified for Korean adolescents(Je, 1989) and their school adjustment level was measured with developed for Korean adolescents(Park, 1998). Collected data were analyzed by Mean+/-SD, t-test, ANOVA and Scheffe and Pearson correlation coefficient (SPSS 12.0).
RESULTS
1. The mean score for the level of self differentiation was 99.99+/-11.58 and school adjustment was 63.52+/-8.80. 2. The self differentiation level was different according to father's education and monthly income. The school adjustment level was different according to grade, sex, father's education and father's occupation. 3. Self differentiation had a significant positive correlation with school adjustment.
CONCLUSION
The self differentiation level was confirmed to have an influence on school adjustment. We need to develop a program that can enhance adolescents' self differentiation.
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The Effects of Internet Addiction on Mental Health Among Adolescents
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Young Soon Byeon, Hea Shoon Lee
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J Korean Acad Community Health Nurs. 2007;18(3):460-468. Published online September 30, 2007
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Abstract
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- 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+/-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.
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KACHN
