Comparison of the Prediction Model of Adolescents' Suicide Attempt Using Logistic Regression and Decision Tree : Secondary Data Analysis of the 2019 Youth Health Risk Behavior Web-Based Survey
© 2021 Korean Society of Nursing Science..
PURPOSE: The purpose of this study was to develop and compare the prediction model for suicide attempts by Korean adolescents using logistic regression and decision tree analysis.
METHODS: This study utilized secondary data drawn from the 2019 Youth Health Risk Behavior web-based survey. A total of 20 items were selected as the explanatory variables (5 of sociodemographic characteristics, 10 of health-related behaviors, and 5 of psychosocial characteristics). For data analysis, descriptive statistics and logistic regression with complex samples and decision tree analysis were performed using IBM SPSS ver. 25.0 and Stata ver. 16.0.
RESULTS: A total of 1,731 participants (3.0%) out of 57,303 responded that they had attempted suicide. The most significant predictors of suicide attempts as determined using the logistic regression model were experience of sadness and hopelessness, substance abuse, and violent victimization. Girls who have experience of sadness and hopelessness, and experience of substance abuse have been identified as the most vulnerable group in suicide attempts in the decision tree model.
CONCLUSION: Experiences of sadness and hopelessness, experiences of substance abuse, and experiences of violent victimization are the common major predictors of suicide attempts in both logistic regression and decision tree models, and the predict rates of both models were similar. We suggest to provide programs considering combination of high-risk predictors for adolescents to prevent suicide attempt.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2021 |
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| Erschienen: |
2021 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:51 |
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| Enthalten in: |
Journal of Korean Academy of Nursing - 51(2021), 1 vom: 08. Feb., Seite 40-53 |
| Sprache: |
Koreanisch |
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| Beteiligte Personen: |
Lee, Yoonju [VerfasserIn] |
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| Links: |
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| Themen: |
Adolescent |
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| Anmerkungen: |
Date Completed 18.03.2021 Date Revised 18.03.2021 published: Print Citation Status MEDLINE |
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| doi: |
10.4040/jkan.20207 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM322632307 |
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| 245 | 1 | 0 | |a Comparison of the Prediction Model of Adolescents' Suicide Attempt Using Logistic Regression and Decision Tree |b Secondary Data Analysis of the 2019 Youth Health Risk Behavior Web-Based Survey |
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| 500 | |a Date Revised 18.03.2021 | ||
| 500 | |a published: Print | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a © 2021 Korean Society of Nursing Science. | ||
| 520 | |a PURPOSE: The purpose of this study was to develop and compare the prediction model for suicide attempts by Korean adolescents using logistic regression and decision tree analysis | ||
| 520 | |a METHODS: This study utilized secondary data drawn from the 2019 Youth Health Risk Behavior web-based survey. A total of 20 items were selected as the explanatory variables (5 of sociodemographic characteristics, 10 of health-related behaviors, and 5 of psychosocial characteristics). For data analysis, descriptive statistics and logistic regression with complex samples and decision tree analysis were performed using IBM SPSS ver. 25.0 and Stata ver. 16.0 | ||
| 520 | |a RESULTS: A total of 1,731 participants (3.0%) out of 57,303 responded that they had attempted suicide. The most significant predictors of suicide attempts as determined using the logistic regression model were experience of sadness and hopelessness, substance abuse, and violent victimization. Girls who have experience of sadness and hopelessness, and experience of substance abuse have been identified as the most vulnerable group in suicide attempts in the decision tree model | ||
| 520 | |a CONCLUSION: Experiences of sadness and hopelessness, experiences of substance abuse, and experiences of violent victimization are the common major predictors of suicide attempts in both logistic regression and decision tree models, and the predict rates of both models were similar. We suggest to provide programs considering combination of high-risk predictors for adolescents to prevent suicide attempt | ||
| 650 | 4 | |a Comparative Study | |
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Adolescent | |
| 650 | 4 | |a Decision Trees | |
| 650 | 4 | |a Logistic Models | |
| 650 | 4 | |a Suicide | |
| 700 | 1 | |a Kim, Heejin |e verfasserin |4 aut | |
| 700 | 1 | |a Lee, Yesul |e verfasserin |4 aut | |
| 700 | 1 | |a Jeong, Hyesun |e verfasserin |4 aut | |
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