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

 Soo Beom Choi  ;  Wanhyung Lee  ;  Jin-Ha Yoon  ;  Jong-Uk Won  ;  Deok Won Kim 
 BMC PUBLIC HEALTH, Vol.17(1) : 579, 2017 
Journal Title
Issue Date
Activities of Daily Living ; Adult ; Age Distribution ; Aged ; Cross-Sectional Studies ; Depressive Disorder/epidemiology ; Exercise ; Female ; Humans ; Logistic Models ; Male ; Middle Aged ; Nutrition Surveys ; Republic of Korea/epidemiology ; Risk Factors ; Smoking/epidemiology ; Socioeconomic Factors ; Stress, Psychological/epidemiology ; Suicidal Ideation* ; Suicide, Attempted/statistics & numerical data*
Depression ; Prediction model ; Risk factor ; Suicidal ideation ; Suicide attempt
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.
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Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Occupational and Environmental Medicine (작업환경의학과) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Medical Engineering (의학공학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Preventive Medicine (예방의학교실) > 1. Journal Papers
4. Graduate School of Public Health (보건대학원) > Graduate School of Public Health (보건대학원) > 1. Journal Papers
Yonsei Authors
Kim, Deok Won(김덕원)
Won, Jong Uk(원종욱) ORCID logo https://orcid.org/0000-0002-9200-3297
Yoon, Jin Ha(윤진하) ORCID logo https://orcid.org/0000-0003-4198-2955
Lee, Wan Hyung(이완형)
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