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.
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.
ABSTRACT
The purpose of this study was to compare the health status of South Korea with those of Organization for Economic Cooperation and Development (OECD) countries and examine the trends. Position vAlue for Relative Comparison (PARC) was used as a gauge for comparison, and five sectors of the health care system were measured: demand, supply, accessibility, quality, and cost. The Mann-Kendall test was used as a statistical analysis method to examine trend of PARC values obtained from 2000 to recent years. According to the results, the demand, supply, accessibility, and quality sectors were higher than the OECD average, while the cost was lower than the average. However, there is a recent trend of sharp increases in health care costs. Some indicators: health employment, quality of primary care and mental health care were lower than the OECD average, and health determinants showed a worsening trend. Therefore, policy-makers need to take this into account and make efforts for sustainable health care.
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BACKGROUND: In this study, we aimed to investigate the drinking behaviors and drinking-related problems of college students in South Korea to produce national alcohol statistics. METHODS: We carefully examined the questionnaires and previous research developed in the previous research project and selected questions that reflect the special environment and culture of college students. In order to stratify a nationally representative sample of college students, the distribution of students around the country were found through the educational statistics database of the Korea Educational Development Institute. Based on this information, we conducted a survey in collaboration with Gallup (Korea) to survey and analyze the drinking behaviors of 5,024 Korean students. RESULTS: A nationwide cross-sectional survey was conducted in 2017, for Korean college students. A total of 5,024 students were recruited and analyzed. The monthly drinking rate was 78.0% for male students and 72.9% for female students. The high-risk drinking rate was 23.3% for male students and 17.2% for female students. The most popular category for number of drinks per drinking session was ‘more than 10 glasses’ per drinking session for both male (44.1%) and female (32.8%). On the alcohol use disorders identification test, the greatest proportion of male students were in the high-risk drinking category (score 8 to 15) 43.8%, followed by the ‘low-risk drinking’ (score 0 to 7) in 43.6%, ‘alcohol abuse’ (score 16 to 19) 7.2%, and ‘alcohol dependence’ (greater than 20) 5.4% categories, respectively. For female students, the greatest proportion of female students were in the ‘low-risk drinking’ in 49.6%, followed by ‘high-risk drinking’ 37.1%, ‘alcohol abuse’ 8.4%, and ‘alcohol dependence’ 4.9% categories, respectively. CONCLUSION: The results of the study showed that the drinking behavior of Korean college students was excessive. Overall, it was found that the college population has a greater high-risk drinking behaviors than general adult population. Furthermore, these problem drinking behaviors were prominent among female college students. Results from the present study suggest that it is necessary to monitor the drinking behavior of college students with constant interest and to prepare policies and strategies suitable for these circumstances.
Subject(s)
Adult , Female , Humans , Male , Cooperative Behavior , Cross-Sectional Studies , Drinking , Drinking Behavior , KoreaABSTRACT
This study investigated the healthcare status of South Korea and member states of the Organization for Economic Cooperation and Development (OECD). By employing the position value for relative comparison index, healthcare status was measured through the following components: demand, supply, accessibility, quality, and cost. Statistical analysis was conducted through the Mann-Kendall test from analyzing trends from 2000 onwards. Results showed that while Korea, on average, scores higher than the OECD average in most of the investigated components, it is below average in certain indexes including primary care and mental health care. Considering the various health issues that have been raised about these indexes, it is important these components be improved upon by policy-makers.