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KMID : 0379720220360020157
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Journal of Korean Community Health Nursing Academic Society
2022 Volume.36 No. 2 p.157 ~ p.169
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Analysis of Predictive Factors for Suicidal Ideation of Adolescents Using Decision Tree Analysis
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Han Myeung-Hee
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Abstract
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Purpose: This study aimed to implement a model for predicting the presence or absence of suicidal ideation in adolescents by using the decision tree analysis method.
Methods: This study is a secondary data analysis using the 2019 Child and Adolescent Human Rights Survey, the most recent data published by the Korea Youth Policy Institute. In order to identify the variables predicting suicidal ideation, a decision tree analysis with suicidal ideation as a dependent variable was performed.
Results: This study found that the variables of life satisfaction, insults from parents, sex, and cyber-bullying experience of adolescents were selected as significant predictors of suicidal ideation. It is predicted that 58.2% of subjects with low life satisfaction would think of suicide. Among them, the probability of thinking of suicide increased to 72.7% in the case of unhappy people, and the probability of thinking of suicide in the case of a woman increase to 82.9%.
Conclusions: It is necessary to consider family, school, and society environment to prevent suicidal ideation of adolescents.
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KEYWORD
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Adolescent, Suicide, Decision trees
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