- Analysis of risk factors affecting suicidal ideation in South Korea by life cycle stage
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Ji-Young Hwang, Il-Su Park
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Osong Public Health Res Perspect. 2021;12(5):314-323. Published online October 26, 2021
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DOI: https://doi.org/10.24171/j.phrp.2021.0208
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 Abstract
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- Objectives
This study analyzed risk factors for suicidal ideation in South Koreans from a life cycle perspective.
Methods
A secondary analysis was conducted of data collected in 2015 as part of the 6th Korea National Health and Nutrition Examination Survey (KNHANES). The participants comprised 5,935 individuals aged 12 years or older. The statistical analysis reflected the complex sampling design of the KNHANES, and the Rao-Scott chi-square test and multiple logistic regression analysis were performed.
Results
The prevalence of suicidal ideation was 5.7% in adolescents, 3.7% in young adults, 5.4% in middle-aged adults, and 7.0% in older adults. Depression and stress were risk factors in every stage of the life cycle. In those aged 12 to 19 years, activity restrictions were significantly associated with suicidal ideation. Education and subjective health status were risk factors in adults aged 20 to 39 years, and education, activity restrictions, and quality of life were the major risk factors in those aged 40 to 64 years. For adults 65 years of age or older, the risk of suicidal ideation was higher among those with inappropriate sleep time.
Conclusion
The risk factors for suicidal ideation were found to be different across stages of the life cycle. This suggests a need for individualized suicide prevention plans and specific government policies that reflect the characteristics of each life cycle stage.
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Citations
Citations to this article as recorded by  - Association between long working hours and the development of suicidal ideation among female workers: An 8-year population-based study using the Korean Longitudinal Survey of Women & Family (2012–2020)
Seong-Uk Baek, Yu-Min Lee, Jin-Ha Yoon
Psychiatry Research.2024; 333: 115731. CrossRef - Prevalence and incidence of suicide, suicidal ideation and self-harm in caregivers of cancer patients: A systematic review and meta-analysis
Chen Ee Low, Sean Loke, Sounak Rana, Ben Sim, Cyrus Su Hui Ho
General Hospital Psychiatry.2024; 90: 35. CrossRef - Psychological resilience and suicidality in the general population: A cross-sectional study based on data from the National Mental Health Survey of Korea 2021
Seung-Hoon Lee, Junhyung Kim, Changsu Han
Journal of Affective Disorders.2024; 363: 15. CrossRef - Risk factors of passive suicidal ideation among outpatients in traditional medicine clinics: The case of Korean medicine in South Korea
Ilsu Park, Tae-Hyeon Lee, Chan-Young Kwon
Heliyon.2024; 10(17): e37181. CrossRef - Development of a Clinical Guideline for Suicide Prevention in Psychiatric Patients Based on the ADAPTE Methodology
Jeong Hun Yang, Jieun Yoo, Dae Hun Kang, C. Hyung Keun Park, Sang Jin Rhee, Min Ji Kim, Sang Yeol Lee, Se-Hoon Shim, Jung-Joon Moon, Seong-Jin Cho, Shin Gyeom Kim, Min-Hyuk Kim, Jinhee Lee, Won Sub Kang, Weon-Young Lee, Yong Min Ahn
Psychiatry Investigation.2024; 21(10): 1149. CrossRef - Hwa-byung (anger syndrome) as a risk factor for suicidal ideation in MZ generation: a survey study in South Korea
Chan-Young Kwon
Frontiers in Psychology.2024;[Epub] CrossRef - Alcohol Consumption and Quality of Life in Middle-aged Men
Jeong-Sook Lee
International Journal of High Risk Behaviors and A.2023;[Epub] CrossRef - Factors Related to Suicidal Ideation by Gender and Age Group in Korean Adults
Eun Young Kim, Yong Whi Jeong, Jihye Lim, Dae Ryong Kang
Journal of Korean Medical Science.2023;[Epub] CrossRef - Association between Sleep Duration and Symptoms of Depression Aged between 18 and 49: The Korea National Health and Nutrition Examination Survey (KNHANES Ⅶ) from 2016 to 2018
Sung-Yong Choi, Ji-Eun Han, Jiae Choi, Minjung Park, Soo-Hyun Sung, Angela Dong-Min Sung
Healthcare.2022; 10(11): 2324. CrossRef
- Developing the High-Risk Drinking Scorecard Model in Korea
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Jun-Tae Han, Il-Su Park, Suk-Bok Kang, Byeong-Gyu Seo
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Osong Public Health Res Perspect. 2018;9(5):231-239. Published online October 31, 2018
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DOI: https://doi.org/10.24171/j.phrp.2018.9.5.04
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17,346
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106
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4
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Abstract
PDF
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Objectives
This study aimed to develop a high-risk drinking scorecard using cross-sectional data from the 2014 Korea Community Health Survey.
Methods
Data were collected from records for 149,592 subjects who had participated in the Korea Community Health Survey conducted from 2014. The scorecard model was developed using data mining, a scorecard and points to double the odds approach for weighted multiple logistic regression.
Results
This study found that there were many major influencing factors for high-risk drinkers which included gender, age, educational level, occupation, whether they received health check-ups, depressive symptoms, over-moderate physical activity, mental stress, smoking status, obese status, and regular breakfast. Men in their thirties to fifties had a high risk of being a drinker and the risks in office workers and sales workers were high. Those individuals who were current smokers had a higher risk of drinking. In the scorecard results, the highest score range was observed for gender, age, educational level, and smoking status, suggesting that these were the most important risk factors.
Conclusion
A credit risk scorecard system can be applied to quantify the scoring method, not only to help the medical service provider to understand the meaning, but also to help the general public to understand the danger of high-risk drinking more easily.
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Citations
Citations to this article as recorded by - Risk score models for urinary tract infection hospitalization
Nasrin Alizadeh, Kimia Vahdat, Sara Shashaani, Julie L. Swann, Osman Y. Özaltιn, Guillermo Pineda Villavicencio
PLOS ONE.2024; 19(6): e0290215. CrossRef - Risk factors of passive suicidal ideation among outpatients in traditional medicine clinics: The case of Korean medicine in South Korea
Ilsu Park, Tae-Hyeon Lee, Chan-Young Kwon
Heliyon.2024; 10(17): e37181. CrossRef - A Study on ML-Based Sleep Score Model Using Lifelog Data
Jiyong Kim, Minseo Park
Applied Sciences.2023; 13(2): 1043. CrossRef - A Simple-to-Use Score for Identifying Individuals at High Risk of Denosumab-Associated Hypocalcemia in Postmenopausal Osteoporosis: A Real-World Cohort Study
Kyoung Jin Kim, Namki Hong, Seunghyun Lee, Miryung Kim, Yumie Rhee
Calcified Tissue International.2020; 107(6): 567. CrossRef
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