청소년기 양극성장애 성향과 관련변인들과의 관계

Abstract

The purpose of this study was to examine the relationships between the degree and types of bipolar disorder tendency in adolescence and eleven variables(gender, age, sleeping time, father age at birth, birth order, numbers of siblings, peer relationship, stress, suicide thinking, social anxiety, delinquency). Participants were 1,052 students attending 2 middle schools for students with normal school in the Gwangju. Korean-Mood Disorder Questionnaire(K-MDQ) was used to collect date on type and severity of bipolar disorder tendency in adolescence. The data were analyzed by frequency analysis, chi-square tests, t-tests, correlation analysis, logistic regression, and multiple regression. The results of this study were as follows: First, using K-MDQ total score of 13, the prevalence of normal group in participants was 614(58.4%) of 1,052(100%) participants. And the prevalence of risk group in participants was 438(41.6%) of 1,052(100%) participants. Second, chi-square test was used to analyze the relationships between bipolar disorder tendency in adolescence and gender, age. T-test was used analyze the relationships between bipolar disorder tendency in adolescence and nine related variables(sleeping time, father age at birth, birth order, numbers of siblings, peer relationship, stress, suicide thinking, social anxiety, delinquency). The were statistically significant relationships between bipolar disorder tendency in adolescence and gender, age, sleeping time, stress, suicide thinking, social anxiety, delinquency. Third, correlation analysis was used to investigate the correlations between the bipolar disorder tendency total score and eleven related variables. The correlations of bipolar disorder tendency total score with seven variables(gender, age, sleeping time, stress, suicide thinking, social anxiety, delinquency) were statistically low significant. Fourth, logistic regression analysis between distinguishing normal groups and risk groups in bipolar disorder tendency and biological variables revealed a significant predictive relationship with two variables(age, sleeping time). Logistic regression analysis between distinguishing normal groups and risk groups in bipolar disorder tendency and psychosocial variables revealed a significant predictive relationship with three variables(peer relationship, social anxiety, delinquency). And logistic regression analysis between distinguishing normal groups and risk groups in bipolar disorder tendency and eleven related variables revealed a significant predictive relationship with three variables(peer relationship, social anxiety, delinquency). Fifth, multiple regression analysis between bipolar disorder tendency in risk group and biological variables revealed a significant predictive relationship with one variables(sleeping time). Multiple regression analysis between bipolar disorder tendency in risk group and psychosocial variables revealed a significant predictive relationship with one variables(delinquency). And multiple regression analysis between bipolar disorder tendency in risk group and eleven related variables revealed a significant predictive relationship with one variables(delinquency). The results were discussed in relation to previous research, and some considerations for future research were presented.