Risk factors of suicide attempt among people with suicidal ideation in South Korea: a cross-sectional study

Abstract Background Suicide is a serious public health concern worldwide, and the fourth leading cause of death in Korea. Few studies have focused on risk factors for suicide attempt among people with suicidal ideation. The aim of the present study was to investigate the risk factors and develop pre...

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Main Authors: Soo Beom Choi, Wanhyung Lee, Jin-Ha Yoon, Jong-Uk Won, Deok Won Kim
Format: Article
Language:English
Published: BMC 2017-06-01
Series:BMC Public Health
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12889-017-4491-5
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spelling doaj-38161a49482647ce8c8f0fc0ee5e867d2020-11-25T00:41:05ZengBMCBMC Public Health1471-24582017-06-0117111110.1186/s12889-017-4491-5Risk factors of suicide attempt among people with suicidal ideation in South Korea: a cross-sectional studySoo Beom Choi0Wanhyung Lee1Jin-Ha Yoon2Jong-Uk Won3Deok Won Kim4Department of Medical Engineering, Yonsei University College of MedicineThe Institute for Occupational Health, Yonsei University College of MedicineThe Institute for Occupational Health, Yonsei University College of MedicineThe Institute for Occupational Health, Yonsei University College of MedicineDepartment of Medical Engineering, Yonsei University College of MedicineAbstract Background Suicide is a serious public health concern worldwide, and the fourth leading cause of death in Korea. Few studies have focused on risk factors for suicide attempt among people with suicidal ideation. The aim of the present study was to investigate the risk factors and develop prediction models for suicide attempt among people with suicidal ideation in the Korean population. Method This study included 1567 men and 3726 women aged 20 years and older who had suicidal ideation from the Korea National Health and Nutrition Examination Survey from 2007 to 2012. Among them, 106 men and 188 women attempted suicide. Multivariate logistic regression analysis with backward stepwise elimination was performed to find risk factors for suicide attempt. Sub-group analysis, dividing participants into under 50 and at least 50 years old was also performed. Results Among people with suicidal ideation, age, education, cancer, and depressive disorder were selected as risk factors for suicide attempt in men. Age, education, national basic livelihood security, daily activity limitation, depressive disorder, stress, smoking, and regular exercise were selected in women. Area under curves of our prediction models in men and women were 0.728 and 0.716, respectively. Conclusions It is important to pay attention to populations with suicidal ideation and the risk factors mentioned above. Prediction models using the determined risk factors could be useful to detect high-risk groups early for suicide attempt among people with suicidal ideation. It is necessary to develop specific action plans for these high-risk groups to prevent suicide.http://link.springer.com/article/10.1186/s12889-017-4491-5Suicide attemptSuicidal ideationDepressionPrediction modelRisk factor
collection DOAJ
language English
format Article
sources DOAJ
author Soo Beom Choi
Wanhyung Lee
Jin-Ha Yoon
Jong-Uk Won
Deok Won Kim
spellingShingle Soo Beom Choi
Wanhyung Lee
Jin-Ha Yoon
Jong-Uk Won
Deok Won Kim
Risk factors of suicide attempt among people with suicidal ideation in South Korea: a cross-sectional study
BMC Public Health
Suicide attempt
Suicidal ideation
Depression
Prediction model
Risk factor
author_facet Soo Beom Choi
Wanhyung Lee
Jin-Ha Yoon
Jong-Uk Won
Deok Won Kim
author_sort Soo Beom Choi
title Risk factors of suicide attempt among people with suicidal ideation in South Korea: a cross-sectional study
title_short Risk factors of suicide attempt among people with suicidal ideation in South Korea: a cross-sectional study
title_full Risk factors of suicide attempt among people with suicidal ideation in South Korea: a cross-sectional study
title_fullStr Risk factors of suicide attempt among people with suicidal ideation in South Korea: a cross-sectional study
title_full_unstemmed Risk factors of suicide attempt among people with suicidal ideation in South Korea: a cross-sectional study
title_sort risk factors of suicide attempt among people with suicidal ideation in south korea: a cross-sectional study
publisher BMC
series BMC Public Health
issn 1471-2458
publishDate 2017-06-01
description Abstract Background Suicide is a serious public health concern worldwide, and the fourth leading cause of death in Korea. Few studies have focused on risk factors for suicide attempt among people with suicidal ideation. The aim of the present study was to investigate the risk factors and develop prediction models for suicide attempt among people with suicidal ideation in the Korean population. Method This study included 1567 men and 3726 women aged 20 years and older who had suicidal ideation from the Korea National Health and Nutrition Examination Survey from 2007 to 2012. Among them, 106 men and 188 women attempted suicide. Multivariate logistic regression analysis with backward stepwise elimination was performed to find risk factors for suicide attempt. Sub-group analysis, dividing participants into under 50 and at least 50 years old was also performed. Results Among people with suicidal ideation, age, education, cancer, and depressive disorder were selected as risk factors for suicide attempt in men. Age, education, national basic livelihood security, daily activity limitation, depressive disorder, stress, smoking, and regular exercise were selected in women. Area under curves of our prediction models in men and women were 0.728 and 0.716, respectively. Conclusions It is important to pay attention to populations with suicidal ideation and the risk factors mentioned above. Prediction models using the determined risk factors could be useful to detect high-risk groups early for suicide attempt among people with suicidal ideation. It is necessary to develop specific action plans for these high-risk groups to prevent suicide.
topic Suicide attempt
Suicidal ideation
Depression
Prediction model
Risk factor
url http://link.springer.com/article/10.1186/s12889-017-4491-5
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