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Prediction by data mining, of suicide attempts in Korean adolescents: a national study

OBJECTIVE: This study aimed to develop a prediction model for suicide attempts in Korean adolescents. METHODS: We conducted a decision tree analysis of 2,754 middle and high school students nationwide. We fixed suicide attempt as the dependent variable and eleven sociodemographic, intrapersonal, and...

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Autores principales: Bae, Sung Man, Lee, Seung A, Lee, Seung-Hwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4577255/
https://www.ncbi.nlm.nih.gov/pubmed/26396521
http://dx.doi.org/10.2147/NDT.S91111
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author Bae, Sung Man
Lee, Seung A
Lee, Seung-Hwan
author_facet Bae, Sung Man
Lee, Seung A
Lee, Seung-Hwan
author_sort Bae, Sung Man
collection PubMed
description OBJECTIVE: This study aimed to develop a prediction model for suicide attempts in Korean adolescents. METHODS: We conducted a decision tree analysis of 2,754 middle and high school students nationwide. We fixed suicide attempt as the dependent variable and eleven sociodemographic, intrapersonal, and extrapersonal variables as independent variables. RESULTS: The rate of suicide attempts of the total sample was 9.5%, and severity of depression was the strongest variable to predict suicide attempt. The rates of suicide attempts in the depression and potential depression groups were 5.4 and 2.8 times higher than that of the non-depression group. In the depression group, the most powerful factor to predict a suicide attempt was delinquency, and the rate of suicide attempts in those in the depression group with higher delinquency was two times higher than in those in the depression group with lower delinquency. Of special note, the rate of suicide attempts in the depressed females with higher delinquency was the highest. Interestingly, in the potential depression group, the most impactful factor to predict a suicide attempt was intimacy with family, and the rate of suicide attempts of those in the potential depression group with lower intimacy with family was 2.4 times higher than that of those in the potential depression group with higher intimacy with family. And, among the potential depression group, middle school students with lower intimacy with family had a 2.5-times higher rate of suicide attempts than high school students with lower intimacy with family. Finally, in the non-depression group, stress level was the most powerful factor to predict a suicide attempt. Among the non-depression group, students who reported high levels of stress showed an 8.3-times higher rate of suicide attempts than students who reported average levels of stress. DISCUSSION: Based on the results, we especially need to pay attention to depressed females with higher delinquency and those with potential depression with lower intimacy with family to prevent suicide attempts in teenagers.
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spelling pubmed-45772552015-09-22 Prediction by data mining, of suicide attempts in Korean adolescents: a national study Bae, Sung Man Lee, Seung A Lee, Seung-Hwan Neuropsychiatr Dis Treat Original Research OBJECTIVE: This study aimed to develop a prediction model for suicide attempts in Korean adolescents. METHODS: We conducted a decision tree analysis of 2,754 middle and high school students nationwide. We fixed suicide attempt as the dependent variable and eleven sociodemographic, intrapersonal, and extrapersonal variables as independent variables. RESULTS: The rate of suicide attempts of the total sample was 9.5%, and severity of depression was the strongest variable to predict suicide attempt. The rates of suicide attempts in the depression and potential depression groups were 5.4 and 2.8 times higher than that of the non-depression group. In the depression group, the most powerful factor to predict a suicide attempt was delinquency, and the rate of suicide attempts in those in the depression group with higher delinquency was two times higher than in those in the depression group with lower delinquency. Of special note, the rate of suicide attempts in the depressed females with higher delinquency was the highest. Interestingly, in the potential depression group, the most impactful factor to predict a suicide attempt was intimacy with family, and the rate of suicide attempts of those in the potential depression group with lower intimacy with family was 2.4 times higher than that of those in the potential depression group with higher intimacy with family. And, among the potential depression group, middle school students with lower intimacy with family had a 2.5-times higher rate of suicide attempts than high school students with lower intimacy with family. Finally, in the non-depression group, stress level was the most powerful factor to predict a suicide attempt. Among the non-depression group, students who reported high levels of stress showed an 8.3-times higher rate of suicide attempts than students who reported average levels of stress. DISCUSSION: Based on the results, we especially need to pay attention to depressed females with higher delinquency and those with potential depression with lower intimacy with family to prevent suicide attempts in teenagers. Dove Medical Press 2015-09-16 /pmc/articles/PMC4577255/ /pubmed/26396521 http://dx.doi.org/10.2147/NDT.S91111 Text en © 2015 Bae et al. This work is published by Dove Medical Press Limited, and licensed under Creative Commons Attribution – Non Commercial (unported, v3.0) License The full terms of the License are available at http://creativecommons.org/licenses/by-nc/3.0/. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.
spellingShingle Original Research
Bae, Sung Man
Lee, Seung A
Lee, Seung-Hwan
Prediction by data mining, of suicide attempts in Korean adolescents: a national study
title Prediction by data mining, of suicide attempts in Korean adolescents: a national study
title_full Prediction by data mining, of suicide attempts in Korean adolescents: a national study
title_fullStr Prediction by data mining, of suicide attempts in Korean adolescents: a national study
title_full_unstemmed Prediction by data mining, of suicide attempts in Korean adolescents: a national study
title_short Prediction by data mining, of suicide attempts in Korean adolescents: a national study
title_sort prediction by data mining, of suicide attempts in korean adolescents: a national study
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4577255/
https://www.ncbi.nlm.nih.gov/pubmed/26396521
http://dx.doi.org/10.2147/NDT.S91111
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