Journal of Preventive Medicine and Public Health

Original Article

The Incidence of Stroke by Socioeconomic Status, Age, Sex, and Stroke Subtype: A Nationwide Study in Korea: Su Ra Seo, Su Young Kim, Sang-Yi Lee, Tae-Ho Yoon, Hyung-Geun Park, Seung Eun Lee, Chul-Woung Kim; J Prev Med Public Health. 2014;47(2):104-112. Published online March 31, 2014; DOI: https://doi.org/10.3961/jpmph.2014.47.2.104

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Objectives

To date, studies have not comprehensively demonstrated the relationship between stroke incidence and socioeconomic status. This study investigated stroke incidence by household income level in conjunction with age, sex, and stroke subtype in Korea.

Methods

Contributions by the head of household were used as the basis for income levels. Household income levels for 21 766 036 people were classified into 6 groups. The stroke incidences were calculated by household income level, both overall within income categories and further by age group, sex, and stroke subtype. To present the inequalities among the six ranked groups in a single value, the slope index of inequality and relative index of inequality were calculated.

Results

In 2005, 57 690 people were first-time stroke patients. The incidences of total stroke for males and females increased as the income level decreased. The incidences of stroke increased as the income level decreased in those 74 years old and under, whereas there was no difference by income levels in those 75 and over. Intracerebral hemorrhage for the males represented the highest inequality among stroke subtypes. Incidences of subarachnoid hemorrhage did not differ by income levels.

Conclusions

The incidence of stroke increases as the income level decreases, but it differs according to sex, age, and stroke subtype. The difference in the relative incidence is large for male intracerebral hemorrhage, whereas the difference in the absolute incidence is large for male ischemic stroke.

Summary

Citations

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Research Support, Non-U.S. Gov't

Medical Expenditure of National Health Insurance Attributable to Smoking among the Korean Population.: Sang Yi Lee, Sun Ha Jee, Ji Eun Yun, Su Young Kim, Jakyung Lee, Jonathan M Samet, Il Soon Kim; J Prev Med Public Health. 2007;40(3):227-232.; DOI: https://doi.org/10.3961/jpmph.2007.40.3.227

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Abstract PDF

OBJECTIVES
The purpose of this study was to determine the population-attributable risk (PAR) and estimate the total medical expenditure of the Korean National Health Insurance (KNHI) due to smoking. METHODS: We used data from the Korean Cancer Prevention Study of 1,178,138 Koreans aged 30 to 95. These data were available from 1992 to 2003 and covered a long-term follow-up period among the Korean population. RESULTS: The total medical expenditure of KNHI related to smoking increased by 27% from $324.9 million in 1999 to $413.7 million in 2003. By specific diseases, smokingattributable KNHI medical expenditure was the highest for lung cancer ($74.2 million), followed by stroke ($65.3 million), COPD ($50.1 million), CHD ($49 million) and stomach cancer ($30 million). A total of 1.3 million KNHI patients were suffering from smoking-related diseases in 2003. We predicted rises in total KNHI medical expenditure related to smoking to $675.1 million (63% increase compared with that of 2003) and in the total number of KNHI patients suffering from smoking-related diseases to about 2.6million (an approximate 100% increase compared with those in 2003) in 2015. CONCLUSIONS: We found a substantial economic burden related to the high smoking prevalence in South Korea.

Summary

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Asian Pacific Journal of Cancer Prevention.2012; 13(4): 1525. CrossRef
The influence of housing tenure and marital status on smoking in South Korea
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English Abstracts

Educational Differences in Health Care Utilization in the Last Year of Life among South Korean Cancer Patients.: Soo Young Choo, Sang Yi Lee, Chul Woung Kim, Su Young Kim, Tae Ho Yoon, Hai Rim Shin, Ok Ryun Moon; J Prev Med Public Health. 2007;40(1):36-44.; DOI: https://doi.org/10.3961/jpmph.2007.40.1.36

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Abstract PDF

OBJECTIVES
There have been few studies examining the differences in health care utilization across social classes during the last year of life. Therefore, in this study we analyzed the quantitative and qualitative differences in health care utilization among cancer patients across educational classes in their last year of life, and derived from it implications for policy. METHODS: To evaluate health care utilization by cancer patients in the last year of life, Death certificate data from 2004 were merged with National Health Insurance data (n=60,088). In order to use educational level as a social class index, we selected the individuals aged 40 and over as study subjects (n=57,484). We analyzed the differences in the medical expenditures, admission days, and rates of admission experience across educational classes descriptively. Multiple regression analysis was conducted to evaluate the association between medical expenditures and independent variables such as sex, age, education class, site of death and type of cancer. RESULTS: The upper educational class spent much more on medical expenditures in the last one year of life, particularly during the last month of life, than the lower educational class did. The ratio of monthly medical expenditures per capita between the college class and no education class was 2.5 in the last 6-12 months of life, but the ratio was 1.6 in the last 1 month. Also, the lower the educational class, the higher the proportion of medical expenditures during the last one month of life, compared to total medical expenditures in the last one year of life. The college educational class had a much higher rate of admission experiences in tertiary hospitals within Seoul than the other education classes did. CONCLUSIONS: This study shows that the lower educational classes had qualitative and quantitative disadvantages in utilizing health care services for cancer in the last year of life.

Summary

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Cross-National Differences in Wealth Inequality in Health Services and Caregiving Used Near the End of Life
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Developing the Predictive Model for the Group at High Risk for Colon Cancer.: Ae Kyoung Lee, Sang Yi Lee, Il Soo Park, Su Young Kim, Tae Ho Yoon, Baek Geun Jeong; J Prev Med Public Health. 2006;39(5):438-446.

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Abstract PDF: OBJECTIVES
We developed the predictive model for the incidence of colon cancer by utilizing the health screening data of the National Health Insurance in Korea. We also explored the characteristics of the high risk group for colon cancer. METHODS: The predictive model was used to determine those people who have a high risk for colon cancer within 2 years of their NHI health screening, and we excluded the people who had already been treated for cancer or who were cancer patient. The study population is the insured of the NHI, aged 40 or over and they had undergone health screening from the year 2000 to 2004, according to NHI health screening formula. We performed logistic regression analysis and used SAS Enterprise Miner 4.1. RESULTS: This study shows that there exists a higher rate of colon cancer in males than females. Also, for the population in their 60s, the incidence rate of colon cancer is much higher by 5.36 times than that for those people in their 40s. Amongst the behavioral factors, heavy drinking is the most important determinant of the colon cancer incidence (7.39 times in males and 21.51 times in females). CONCLUSIONS: Our study confirms that the major influencing factors for the incidence of colon cancer are drinking, lack of exercise, a medical history of colon polypus and a family history of colon cancer. As a result, we can choose the group that is at a high risk for colon cancer and provide customized medical information and selective management services according to their characteristics.; Summary

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