1.Discriminative Factor Analysis of Juvenile Delinquency in South Korea.
Journal of Korean Academy of Nursing 2006;36(8):1315-1323
PURPOSE: The present study was intended to compare difference in research variables between delinquent adolescents and student adolescents, and to analyze discriminative factors of delinquent behaviors among Korean adolescents. METHODS: The research design of this study was a questionnaire survey. Questionnaires were administered to 2,167 adolescents (1,196 students and 971 delinquents), sampled from 8 middle and high school and 6 juvenile corrective institutions, using the proportional stratified random sampling method. Statistical methods employed were Chi-square, t-test, and logistic regression analysis. RESULTS: The discriminative factors of delinquent behaviors were smoking, alcohol use, other drug use, being sexually abused, viewing time of media violence and pornography. Among these discriminative factors, the factor most strongly associated with delinquency was smoking (odds ratio: 32.32). That is, smoking adolescent has a 32-fold higher possibility of becoming a delinquent adolescent than a non-smoking adolescent. CONCLUSIONS: Our findings, that smoking was the strongest discriminative factor of delinquent behavior, suggest that educational strategies to prevent adolescent smoking may reduce the rate of juvenile delinquency. Antismoking educational efforts are therefore urgently needed in South Korea.
Adolescent
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Adolescent Behavior/*ethnology
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Adolescent Psychology
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Chi-Square Distribution
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Child Abuse, Sexual/ethnology
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Cross-Sectional Studies
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Discriminant Analysis
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Erotica/psychology
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Factor Analysis, Statistical
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Family/ethnology
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Female
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Health Education
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Humans
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Juvenile Delinquency/*ethnology/prevention & control/statistics & numerical data
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Korea/epidemiology
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Logistic Models
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Male
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Mass Media
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Questionnaires
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Risk Assessment
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Risk Factors
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Smoking/adverse effects/ethnology
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Students/psychology/statistics & numerical data
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Substance-Related Disorders/complications/ethnology
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Violence/ethnology
2.A Predictive Model of Domestic Violence in Multicultural Families Focusing on Perpetrator.
Asian Nursing Research 2016;10(3):213-220
PURPOSE: This study was conducted to assess predictor variables of husbands in multicultural families and examine the relationship among variables after setting up a hypothetical model including influencing factors, so as to provide a framework necessary for developing nursing interventions of domestic violence. METHODS: The participants were 260 husbands in multicultural families in four cities in Korea. Data were analyzed using SPSS 22.0 and AMOS 20.0. RESULTS: Self-control, social support, family of origin violence experience and stress on cultural adaptation directly affected to dysfunctional communication, and the explanatory power of the variables was 64.7%. Family of origin violence experience in domestic stress on cultural adaptation, and dysfunctional communication were directly related to domestic violence in multicultural families, and the explanatory power of the variables was 64.6%. We found out that all variables in the model had mediation effects to domestic violence through dysfunctional communication. In other words, self-control and social support had complete mediation effects, and family of origin violence experience in domestic violence and stress on cultural adaptation had partial mediation effects. CONCLUSIONS: The variables explained in this study should be considered as predictive factors of domestic violence in multicultural families, and used to provide preventive nursing intervention. Our resutls can be taken into account for developing and implementing programs on alleviating dysfunctional communication in multicultural families in Korea.
Acculturation
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Communication
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Cross-Sectional Studies
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*Cultural Diversity
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Domestic Violence/ethnology/*statistics & numerical data
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Emigrants and Immigrants/psychology/statistics & numerical data
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Female
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Humans
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Male
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Models, Psychological
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Republic of Korea/epidemiology
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Self-Control/psychology
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Social Support
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Spouses/ethnology/psychology/statistics & numerical data
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Stress, Psychological/ethnology/etiology