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Original Articles
- Relationship Between Social Isolation, Seclusion, and Suicidal Ideation Among Young Adults: An Analysis of Data From the 2022 Survey on the Lives of Young People in Korea
- Jiwon Shin, Hyun Yang, Mu Won Lee, Hae Yean Park, Suyeong Bae
- J Prev Med Public Health. 2025;58(5):496-504. Published online May 8, 2025
- DOI: https://doi.org/10.3961/jpmph.24.792
- 4,270 View
- 230 Download
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Abstract
Summary
PDF
Supplementary Material - Objectives
This study aimed to investigate the current status of social isolation and seclusion among young adults in Korea and to analyze their association with suicide risk.
Methods
We utilized data from 14 966 young adults aged 19-34 years from the 2022 Survey on the Lives of Young People. Social isolation and seclusion were defined as independent variables, and suicidal ideation within the past year was set as the dependent variable. Propensity score matching (PSM) was employed to reduce the risk of selection bias, and logistic regression analysis was conducted to examine the associations between social isolation, seclusion, and suicidal ideation.
Results
Of the participants, 266 individuals (1.8%) were socially isolated, and 67 individuals (0.5%) were secluded. Associations were observed between social isolation and suicidal ideation (population-weighted adjusted model: odds ratio [OR], 2.43, p=0.003; population-weighted PSM model: OR, 2.03, p=0.037), as well as between seclusion and suicidal ideation (population-weighted adjusted model: OR, 4.15, p=0.004; population-weighted PSM model: OR, 3.87, p=0.010) across all models.
Conclusions
Being socially isolated or secluded is associated with an increased risk of suicidal ideation among young adults aged 19-34 years. Preventive policies and tailored support systems are urgently needed to address these risks. This study contributes to the development of specific policies for mitigating social isolation and supporting the reintegration of young adults aged 19-34 years into society. -
SummaryKorean summary
본 연구는 2022년 청년 삶 실태조사 원자료를 이용하여 한국 청년의 사회적 고립·은둔과 자살 생각의 연관성을 분석하였다. 연구 결과, 사회적으로 고립되거나 은둔하는 청년은 그렇지 않은 청년에 비해 자살 생각을 할 위험이 유의하게 높은 것으로 나타났다. 이는 고립·은둔 청년들의 자살 위험성을 확인하고, 이들의 사회 재통합을 돕기 위한 예방적 정책과 맞춤형 지원 시스템 마련이 시급함을 시사한다.Key Message
Using data from the 2022 Survey on the Lives of Young People, this study demonstrates that young adults (aged 19-34) in Korea experiencing social isolation or seclusion face a significantly increased risk of suicidal ideation. These findings identify socially isolated and secluded young people as a critical high-risk group for suicide. This underscores the urgent need for proactive public health policies and tailored support systems to prevent suicide by addressing social isolation and seclusion and promoting societal reintegration among this vulnerable population.
- Development of Machine Learning Models to Categorize Life Satisfaction in Older Adults in Korea
- Suyeong Bae, Mi Jung Lee, Ickpyo Hong
- J Prev Med Public Health. 2025;58(2):127-135. Published online October 23, 2024
- DOI: https://doi.org/10.3961/jpmph.24.324
- 16,715 View
- 512 Download
- 1 Web of Science
- 2 Crossref
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Abstract
Summary
PDF
- Objectives
This study aimed to identify factors associated with life satisfaction by developing machine learning (ML) models to predict life satisfaction in older adults living alone.
Methods
Data were extracted from 3112 older adults participating in the 2020 Korea Senior Survey. We employed 5 ML models to classify the life satisfaction of older adults living alone: logistic Lasso regression, decision tree-based classification and regression tree (CART), C5.0, random forest, and extreme gradient boost (XGBoost). The variables used as predictors included demographics, health status, functional abilities, environmental factors, and activity participation. The performance of these ML models was evaluated based on accuracy, precision, recall, F1-score, and area under the curve (AUC). Additionally, we assessed the significance of variable importance as indicated by the final classification models.
Results
Out of the 1411 older adults living alone, 45.3% expressed satisfaction with their lives. The XGBoost model surpassed the performance of other models, achieving an F1-score of 0.72 and an AUC of 0.75. According to the XGBoost model, the five most important variables influencing life satisfaction were overall community satisfaction, self-rated health, opportunities to interact with neighbors, proximity to a child, and satisfaction with residence.
Conclusions
Overall satisfaction with the community environment emerged as the most significant predictor of life satisfaction among older adults living alone. These findings indicate that enhancing the supportiveness of the community environment could improve life satisfaction for this demographic. -
SummaryKorean summary
본 연구는 2020년 노인실태조사에 참여한 3,112명의 독거노인 데이터를 활용하여 이들의 삶의 만족도를 분류하는 머신러닝 모델을 개발하였다. 아울러, 해당 모델을 통해 독거노인의 삶의 만족도 분류에 영향을 미치는 주요 변수를 도출하였다. 본 연구는 독거노인의 삶의 만족도 향상을 위해 고려해야 할 핵심 요인들을 제시한다는 점에서 의의가 있다.Key Message
This study developed a machine learning model to classify life satisfaction among 3,112 older adults living alone, based on data from the 2020 Korea Senior Survey. Furthermore, the study identified key variables that contribute to the classification of life satisfaction in this population. These findings provide insights into important factors that should be considered to enhance the life satisfaction of older adults living alone. -
Citations
Citations to this article as recorded by
- Prevalence of depression and its associated factors among Korean women: A cross-sectional study in Seoul
Thi Thanh Lan Nguyen, Van Cuong Nguyen
Archives of Psychiatric Nursing.2025; 57: 151928. CrossRef - Designing a Social Prescribing Model to Enhance the Holistic Well-Being of Older Adults in Indonesia
Sukri Palutturi , St. Rosmanelly, Mutia Nur Rahmah , Eun Woo Nam, Mi-hwa Kang
Salud, Ciencia y Tecnología.2025; 5: 2235. CrossRef
- Prevalence of depression and its associated factors among Korean women: A cross-sectional study in Seoul
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