Background: The growing number of elderly individuals living alone presents a major social issue, encompassing loneliness, isolation, economic and health challenges, and increased risk of suicide. This study aimed to identify factors associated with suicide risk among elderly individuals living alone in Jeju. Methods: A total of 4,742 participants completed questionnaires to assess their sociodemographic characteristics. Depressive symptoms were evaluated using the Short Form Geriatric Depression Scale-Korean version (sGDS-K), with a cutoff score of eight indicating the presence of depressive symptoms. Suicide risk was assessed using the MiniInternational Neuropsychiatric Interview-Plus. Multivariate logistic regression analysis was performed to identify significant correlates of suicide risk. Results: Multivariate logistic regression analysis identified the following factors as significantly associated with suicide risk: poor subjective health status (odds ratio [OR]=1.590, 95% confidence interval [CI]: 1.137-2.224), current drinking (OR=1.511, 95% CI: 1.119-2.042), hypertension (OR=1.419, 95% CI: 1.133-1.778), and sGDS scores ≥8 (OR=4.318, 95% CI: 3.408-5.469). Conclusion This study highlights the importance of intensive mental health services and socioeconomic support in preventing suicide among elderly individuals living alone. Targeted interventions should focus on those who have poor subjective health status, are current drinkers, have hypertension, or exhibit depressive symptoms.

Background: The growing number of elderly individuals living alone presents a major social issue, encompassing loneliness, isolation, economic and health challenges, and increased risk of suicide. This study aimed to identify factors associated with suicide risk among elderly individuals living alone in Jeju. Methods: A total of 4,742 participants completed questionnaires to assess their sociodemographic characteristics. Depressive symptoms were evaluated using the Short Form Geriatric Depression Scale-Korean version (sGDS-K), with a cutoff score of eight indicating the presence of depressive symptoms. Suicide risk was assessed using the MiniInternational Neuropsychiatric Interview-Plus. Multivariate logistic regression analysis was performed to identify significant correlates of suicide risk. Results: Multivariate logistic regression analysis identified the following factors as significantly associated with suicide risk: poor subjective health status (odds ratio [OR]=1.590, 95% confidence interval [CI]: 1.137-2.224), current drinking (OR=1.511, 95% CI: 1.119-2.042), hypertension (OR=1.419, 95% CI: 1.133-1.778), and sGDS scores ≥8 (OR=4.318, 95% CI: 3.408-5.469). Conclusion This study highlights the importance of intensive mental health services and socioeconomic support in preventing suicide among elderly individuals living alone. Targeted interventions should focus on those who have poor subjective health status, are current drinkers, have hypertension, or exhibit depressive symptoms.

Background: The growing number of elderly individuals living alone presents a major social issue, encompassing loneliness, isolation, economic and health challenges, and increased risk of suicide. This study aimed to identify factors associated with suicide risk among elderly individuals living alone in Jeju. Methods: A total of 4,742 participants completed questionnaires to assess their sociodemographic characteristics. Depressive symptoms were evaluated using the Short Form Geriatric Depression Scale-Korean version (sGDS-K), with a cutoff score of eight indicating the presence of depressive symptoms. Suicide risk was assessed using the MiniInternational Neuropsychiatric Interview-Plus. Multivariate logistic regression analysis was performed to identify significant correlates of suicide risk. Results: Multivariate logistic regression analysis identified the following factors as significantly associated with suicide risk: poor subjective health status (odds ratio [OR]=1.590, 95% confidence interval [CI]: 1.137-2.224), current drinking (OR=1.511, 95% CI: 1.119-2.042), hypertension (OR=1.419, 95% CI: 1.133-1.778), and sGDS scores ≥8 (OR=4.318, 95% CI: 3.408-5.469). Conclusion This study highlights the importance of intensive mental health services and socioeconomic support in preventing suicide among elderly individuals living alone. Targeted interventions should focus on those who have poor subjective health status, are current drinkers, have hypertension, or exhibit depressive symptoms.

Background: The growing number of elderly individuals living alone presents a major social issue, encompassing loneliness, isolation, economic and health challenges, and increased risk of suicide. This study aimed to identify factors associated with suicide risk among elderly individuals living alone in Jeju. Methods: A total of 4,742 participants completed questionnaires to assess their sociodemographic characteristics. Depressive symptoms were evaluated using the Short Form Geriatric Depression Scale-Korean version (sGDS-K), with a cutoff score of eight indicating the presence of depressive symptoms. Suicide risk was assessed using the MiniInternational Neuropsychiatric Interview-Plus. Multivariate logistic regression analysis was performed to identify significant correlates of suicide risk. Results: Multivariate logistic regression analysis identified the following factors as significantly associated with suicide risk: poor subjective health status (odds ratio [OR]=1.590, 95% confidence interval [CI]: 1.137-2.224), current drinking (OR=1.511, 95% CI: 1.119-2.042), hypertension (OR=1.419, 95% CI: 1.133-1.778), and sGDS scores ≥8 (OR=4.318, 95% CI: 3.408-5.469). Conclusion This study highlights the importance of intensive mental health services and socioeconomic support in preventing suicide among elderly individuals living alone. Targeted interventions should focus on those who have poor subjective health status, are current drinkers, have hypertension, or exhibit depressive symptoms.

Background: The growing number of elderly individuals living alone presents a major social issue, encompassing loneliness, isolation, economic and health challenges, and increased risk of suicide. This study aimed to identify factors associated with suicide risk among elderly individuals living alone in Jeju. Methods: A total of 4,742 participants completed questionnaires to assess their sociodemographic characteristics. Depressive symptoms were evaluated using the Short Form Geriatric Depression Scale-Korean version (sGDS-K), with a cutoff score of eight indicating the presence of depressive symptoms. Suicide risk was assessed using the MiniInternational Neuropsychiatric Interview-Plus. Multivariate logistic regression analysis was performed to identify significant correlates of suicide risk. Results: Multivariate logistic regression analysis identified the following factors as significantly associated with suicide risk: poor subjective health status (odds ratio [OR]=1.590, 95% confidence interval [CI]: 1.137-2.224), current drinking (OR=1.511, 95% CI: 1.119-2.042), hypertension (OR=1.419, 95% CI: 1.133-1.778), and sGDS scores ≥8 (OR=4.318, 95% CI: 3.408-5.469). Conclusion This study highlights the importance of intensive mental health services and socioeconomic support in preventing suicide among elderly individuals living alone. Targeted interventions should focus on those who have poor subjective health status, are current drinkers, have hypertension, or exhibit depressive symptoms.

Background: Depression among elderly individuals, especially those living alone, is an important social issue. This study investigated the prevalence of depressive symptoms and related factors in elderly individuals living alone in Jeju. Methods: A survey was conducted among elderly individuals living alone and registered in the Basic Senior Care Services. Depressive symptoms were analyzed using the Short Form Geriatric Depression Scale, with scores ≥6 indicat-ing depression. Factors such as sex, age, education level, marital status, income, health status, underlying diseases, smoking, alcohol consumption, and suicide risk were also examined. Results: Of the 4,742 participants, 52.6% showed a high prevalence of depressive symptoms. Factors affecting prevalence included sex (p=0.020), age (p<0.001), education (p<0.001), subjective health (p<0.001), smoking history (p<0.001), cancer (p=0.001), dementia (p<0.001), and diagnostic history of depression (p<0.001), whose symptoms were correlated with suicidal thoughts, plans, or attempts (p<0.001). Multivariate logistic regression indicated that sex, age, education level, subjective health, dementia, and current smoking and alcohol consumption were significant factors. Conclusion Depression among elderly individuals living alone in Jeju is severe and influenced by sociocultural factors. Early detection and mental health policies are essential to reduce its prevalence and socioeconomic impact.

Background: Depression among elderly individuals, especially those living alone, is an important social issue. This study investigated the prevalence of depressive symptoms and related factors in elderly individuals living alone in Jeju. Methods: A survey was conducted among elderly individuals living alone and registered in the Basic Senior Care Services. Depressive symptoms were analyzed using the Short Form Geriatric Depression Scale, with scores ≥6 indicat-ing depression. Factors such as sex, age, education level, marital status, income, health status, underlying diseases, smoking, alcohol consumption, and suicide risk were also examined. Results: Of the 4,742 participants, 52.6% showed a high prevalence of depressive symptoms. Factors affecting prevalence included sex (p=0.020), age (p<0.001), education (p<0.001), subjective health (p<0.001), smoking history (p<0.001), cancer (p=0.001), dementia (p<0.001), and diagnostic history of depression (p<0.001), whose symptoms were correlated with suicidal thoughts, plans, or attempts (p<0.001). Multivariate logistic regression indicated that sex, age, education level, subjective health, dementia, and current smoking and alcohol consumption were significant factors. Conclusion Depression among elderly individuals living alone in Jeju is severe and influenced by sociocultural factors. Early detection and mental health policies are essential to reduce its prevalence and socioeconomic impact.

Background: Depression among elderly individuals, especially those living alone, is an important social issue. This study investigated the prevalence of depressive symptoms and related factors in elderly individuals living alone in Jeju. Methods: A survey was conducted among elderly individuals living alone and registered in the Basic Senior Care Services. Depressive symptoms were analyzed using the Short Form Geriatric Depression Scale, with scores ≥6 indicat-ing depression. Factors such as sex, age, education level, marital status, income, health status, underlying diseases, smoking, alcohol consumption, and suicide risk were also examined. Results: Of the 4,742 participants, 52.6% showed a high prevalence of depressive symptoms. Factors affecting prevalence included sex (p=0.020), age (p<0.001), education (p<0.001), subjective health (p<0.001), smoking history (p<0.001), cancer (p=0.001), dementia (p<0.001), and diagnostic history of depression (p<0.001), whose symptoms were correlated with suicidal thoughts, plans, or attempts (p<0.001). Multivariate logistic regression indicated that sex, age, education level, subjective health, dementia, and current smoking and alcohol consumption were significant factors. Conclusion Depression among elderly individuals living alone in Jeju is severe and influenced by sociocultural factors. Early detection and mental health policies are essential to reduce its prevalence and socioeconomic impact.

Background: Depression among elderly individuals, especially those living alone, is an important social issue. This study investigated the prevalence of depressive symptoms and related factors in elderly individuals living alone in Jeju. Methods: A survey was conducted among elderly individuals living alone and registered in the Basic Senior Care Services. Depressive symptoms were analyzed using the Short Form Geriatric Depression Scale, with scores ≥6 indicat-ing depression. Factors such as sex, age, education level, marital status, income, health status, underlying diseases, smoking, alcohol consumption, and suicide risk were also examined. Results: Of the 4,742 participants, 52.6% showed a high prevalence of depressive symptoms. Factors affecting prevalence included sex (p=0.020), age (p<0.001), education (p<0.001), subjective health (p<0.001), smoking history (p<0.001), cancer (p=0.001), dementia (p<0.001), and diagnostic history of depression (p<0.001), whose symptoms were correlated with suicidal thoughts, plans, or attempts (p<0.001). Multivariate logistic regression indicated that sex, age, education level, subjective health, dementia, and current smoking and alcohol consumption were significant factors. Conclusion Depression among elderly individuals living alone in Jeju is severe and influenced by sociocultural factors. Early detection and mental health policies are essential to reduce its prevalence and socioeconomic impact.

Background: Depression among elderly individuals, especially those living alone, is an important social issue. This study investigated the prevalence of depressive symptoms and related factors in elderly individuals living alone in Jeju. Methods: A survey was conducted among elderly individuals living alone and registered in the Basic Senior Care Services. Depressive symptoms were analyzed using the Short Form Geriatric Depression Scale, with scores ≥6 indicat-ing depression. Factors such as sex, age, education level, marital status, income, health status, underlying diseases, smoking, alcohol consumption, and suicide risk were also examined. Results: Of the 4,742 participants, 52.6% showed a high prevalence of depressive symptoms. Factors affecting prevalence included sex (p=0.020), age (p<0.001), education (p<0.001), subjective health (p<0.001), smoking history (p<0.001), cancer (p=0.001), dementia (p<0.001), and diagnostic history of depression (p<0.001), whose symptoms were correlated with suicidal thoughts, plans, or attempts (p<0.001). Multivariate logistic regression indicated that sex, age, education level, subjective health, dementia, and current smoking and alcohol consumption were significant factors. Conclusion Depression among elderly individuals living alone in Jeju is severe and influenced by sociocultural factors. Early detection and mental health policies are essential to reduce its prevalence and socioeconomic impact.