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1.
Health Policy and Management ; : 232-239, 2021.
Article in English | WPRIM | ID: wpr-914458

ABSTRACT

This study aimed to update suicide-related indicators including suicidal ideation, suicide attempts, and the number of suicidal deaths.Based on up-to-date information, we observed the trends of suicide-related indicators. In this study, five data sources were used to observe the trends of suicide-related indicators: Statistics Korea (1983–2019), Korean National Health and Nutrition Examination (KNHANES, ‘07–13, ‘15–19), Korean Community Health Survey (KCHS, ‘08–09, ‘13, ‘17), Korean Wealth Panel Study (KOWEPS, ‘12–19), and Korea Health Panel Survey (KHP, ‘10–13, ‘16-17). The suicide rate, which peaked in 2011, declined until 2017 and then started to rise again from 2018, recording a suicide rate of 26.9 per 100,000 people in 2019. The rate of suicidal ideation estimated based on the recently available data was 4.62% (KNHANES, ‘19), 3.51% (KHP, ‘16), 2.87% (KHP, ‘17), and 1.70% (KOWEPS, ‘19). That of suicide attempt as recent year was 0.43% (KNHANES, ‘19), 0.07% (KOWEPS, ‘19). Annual percentage change of death by intentional self-harm was -2.11% (Statistics Korea), and that of suicidal ideation was -14.7% (KNHANES), -2.5% (KCHS), -10.6% (KOWEPS), and -11.3% (KHP). Annual percentage change of suicide attempt was -5.0% (KNHANES), -4.4% (KCHS), and -11.3% (KOWEPS). The lower the income level, the higher the probability of experiencing suicide ideation and suicide attempts. Considering the recent increase in suicide rate in contrast to the continuing decline in suicidal ideation and suicide attempts, continuous data observation and appropriate policies regarding suicide prevention are needed.

2.
Health Policy and Management ; : 114-124, 2021.
Article in English | WPRIM | ID: wpr-898499

ABSTRACT

Background@#In this study, we aimed to investigate the interaction effects of individual socioeconomic status and regional deprivation on the onset of diabetes complications and diabetes-related hospitalization among type 2 diabetes patients. @*Methods@#Korean National Health Insurance Service National Sample Cohort data from 2002 to 2013 were used. A total of 50,954 patients newly diagnosed with type 2 diabetes from 2004 to 2012 and aged 30 years or above were included. We classified patients into six groups according to individual income level and neighborhood deprivation: ‘high in advantaged,’ ‘high in disadvantaged,’ ‘middle in advantaged,’ ‘middle in disadvantaged,’ ‘low in advantaged,’ and ‘low in disadvantaged.’ We calculated hazard ratios (HR) of onset of diabetes complication and diabetes-related hospitalization using the Cox proportional hazard model, with the reference group as diabetes patients with high income in advantaged regions. @*Results@#In terms of the interaction effects of individual income level and regional socioeconomic level, even with the same low individual income level, the group with a high regional socioeconomic level (low in advantaged) showed low HRs for the onset of diabetes complication (HR, 1.04; 95% confidence interval [CI], 1.00–1.08) compared to the ‘low in disadvantaged’ group (HR, 1.10;95% CI, 1.05–1.16). In addition, the ‘high in advantaged’ group showed slightly higher HRs for the onset of diabetes complication (HR, 1.06; 95% CI, 1.00–1.11) compared to the ‘low in advantaged’ and it appeared to be associated with slight mitigation of the risk of diabetes complication. For the low-income level, the patients in disadvantaged regions showed the highest HRs for diabetes-related hospitalization (HR, 1.29; 95% CI, 1.19–1.41) compared to the other groups. @*Conclusion@#Although we need to perform further investigations to reveal the mechanisms that led to our results, interaction effects individual socioeconomic status and regional deprivation might be associated with on onset of diabetes complications and diabetes-related hospitalization among type 2 diabetes patients.

3.
Health Policy and Management ; : 114-124, 2021.
Article in English | WPRIM | ID: wpr-890795

ABSTRACT

Background@#In this study, we aimed to investigate the interaction effects of individual socioeconomic status and regional deprivation on the onset of diabetes complications and diabetes-related hospitalization among type 2 diabetes patients. @*Methods@#Korean National Health Insurance Service National Sample Cohort data from 2002 to 2013 were used. A total of 50,954 patients newly diagnosed with type 2 diabetes from 2004 to 2012 and aged 30 years or above were included. We classified patients into six groups according to individual income level and neighborhood deprivation: ‘high in advantaged,’ ‘high in disadvantaged,’ ‘middle in advantaged,’ ‘middle in disadvantaged,’ ‘low in advantaged,’ and ‘low in disadvantaged.’ We calculated hazard ratios (HR) of onset of diabetes complication and diabetes-related hospitalization using the Cox proportional hazard model, with the reference group as diabetes patients with high income in advantaged regions. @*Results@#In terms of the interaction effects of individual income level and regional socioeconomic level, even with the same low individual income level, the group with a high regional socioeconomic level (low in advantaged) showed low HRs for the onset of diabetes complication (HR, 1.04; 95% confidence interval [CI], 1.00–1.08) compared to the ‘low in disadvantaged’ group (HR, 1.10;95% CI, 1.05–1.16). In addition, the ‘high in advantaged’ group showed slightly higher HRs for the onset of diabetes complication (HR, 1.06; 95% CI, 1.00–1.11) compared to the ‘low in advantaged’ and it appeared to be associated with slight mitigation of the risk of diabetes complication. For the low-income level, the patients in disadvantaged regions showed the highest HRs for diabetes-related hospitalization (HR, 1.29; 95% CI, 1.19–1.41) compared to the other groups. @*Conclusion@#Although we need to perform further investigations to reveal the mechanisms that led to our results, interaction effects individual socioeconomic status and regional deprivation might be associated with on onset of diabetes complications and diabetes-related hospitalization among type 2 diabetes patients.

4.
Health Policy and Management ; : 112-119, 2020.
Article | WPRIM | ID: wpr-834174

ABSTRACT

Suicide has been a long-standing problem for global public health, along with almost 800,000 deaths from suicide worldwide in 2016, accounting for 1.4% of all deaths. South Korea was ranked first in suicide mortality in 2018 among countries in the Organization for Economic Cooperation and Development. This study aimed to suggest up-to-date information about suicide-related indicators such as the rate of suicidal ideation, suicide attempt, and suicide death, and its trends by applying sampling weight to make it nationally representative. In this study, we used the data sources: Korea National Health and Nutrition Examination (KNHANES, ‘07–13, ‘15–18), Korean Community Health Survey (KCHS, ‘08–09, ‘13, ‘17), Korean Wealth Panel Study (KOWEPS, ‘12–18), Korea Health Panel Survey (KHP, ‘10–13), and Statistics Korea (1983–2017). The rate of suicidal ideation as recent year was 4.73% (KNHANES, ‘17), 6.96% (KCHS, ‘17), 2.29% (KOWEPS, ‘18), and 5.39% (KHP, ‘13). That of suicide attempt as recent year was 0.51% (KNHANES, ‘18), 0.32% (KCHS, ‘17), and 0.15% (KOWEPS, ‘18). Annual percentage change (APC) of suicidal ideation was -15.4% (KNHANES, ‘07–13, ‘15, ‘17), -2.5% (KCHS, ‘08–09, ‘13, ‘17), -10.8% (KOWEPS, ‘12–18), and -10.9% (KHP, ‘10–13). APC of suicide attempt was -4.4% (KNHANES, ‘07–13, ‘15-18), -4.4% (KCHS, ‘08–09, ‘13, ‘17), and -13.6% (KOWEPS, ‘12–18). APC of death by intentional self-harm was -1.25% (Statistics Korea, ‘07–18). All suicide-related indicators were found to be decreasing in the overall from 2009. Individuals with lower income level were more likely to experience suicidal ideation and suicide attempts. Even though suicide rate had been continuously decreasing from its highest point in 2011 (suicide rate: 31.7 per 100,000 population) to 2017 (suicide rate: 24.3 per 100,000 population), it increased again in 2018 (suicide rate: 26.6 per 100,000 population). This information would be grounded on policy implementation for suicide prevention, thus continuous data observation is necessary.

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