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BMC Public Health. 2017 Jun 15;17(1):579. doi: 10.1186/s12889-017-4491-5.

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

Choi SB1,2, Lee W3,4,5, Yoon JH3,4,5, Won JU3,4,5, Kim DW6,7.

Author information

1
Department of Medical Engineering, Yonsei University College of Medicine, CPO Box, Seoul, 8044, South Korea.
2
Graduate Program in Biomedical Engineering, Yonsei University, Seoul, South Korea.
3
The Institute for Occupational Health, Yonsei University College of Medicine, Seoul, South Korea.
4
Graduate School of Public Health, Yonsei University College of Medicine, Seoul, South Korea.
5
Incheon Worker's Health Center, Incheon, South Korea.
6
Department of Medical Engineering, Yonsei University College of Medicine, CPO Box, Seoul, 8044, South Korea. kdw@yuhs.ac.
7
Graduate Program in Biomedical Engineering, Yonsei University, Seoul, South Korea. kdw@yuhs.ac.

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.

KEYWORDS:

Depression; Prediction model; Risk factor; Suicidal ideation; Suicide attempt

PMID:
28619107
PMCID:
PMC5472995
DOI:
10.1186/s12889-017-4491-5
[Indexed for MEDLINE]
Free PMC Article

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