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Kee Ho Park 4 Articles
Risk Factors for Cerebrovascular Disorders in Koreans.
Jong Ku Park, Ki Soon Kim, Chun Bae Kim, Tae Yong Lee, Duk Hee Lee, Kwang Wook Koh, Kang Sook Lee, Sun Ha Jee, Il Suh, So Yeon Ryu, Kee Ho Park
Korean J Prev Med. 2001;34(2):157-165.
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AbstractAbstract PDF
OBJECTIVES
To identify the risk factors of cerebrovascular disorders(CVD) in Koreans using a nested case-control study. METHODS: The cohort consisted of beneficiaries who had taken health examinations of the Korea Medical Insurance Corporation (KMIC cohort: 115,600 persons) in 1990 and 1992 consecutively. Four hundred and twenty five (425) cases were selected following the validation of diagnosis among 2,026 reported CVD (I60-I68) inpatients during the year from 1993 to 1997. Controls were matched (1:1) with age and gender of the cases among inpatients without CVD during the same period. The source of data in this study were the files of the 1990 health examinations and the 1992 health questionnaires, as well as an additional telephone survey undertaken from March to November 1999. RESULTS: In a bivariate analysis and multiple logistic regression analysis, risk factors for total CVD were hyperglycemia and hypertension. Unrespectively, the odds ratio of ex-smoker was significantly lower than that of those who had never smoked. The risk factors for ischemic CVD also were hyperglycemia and hypertension. However, only blood pressure was found to be a risk factor for hemorrhagic CVD. Hypercholesterolemia was not a risk factor for total CVD, ischemic CVD, and hemorrhagic CVD. CONCLUSION: We concluded that the most important risk factor for CVD (including subtype) in Koreans was hypertension.
Summary
Factors Related to Self-Perceived Health of Young Adults.
Kee Ho Park, Woohyun Cho, Il Suh, Jong Ku Park
Korean J Prev Med. 2000;33(4):415-425.
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OBJECTIVES
To determine which factors are related to young adults perception of their health. Two research questions were asked. Which aspects of health does self-perceived health as a index of general health reflect? Why do two individuals with the same level of general health have different health perceptions? METHODS: The sampling frame comprised college or graduate school students, aged 20 to 29, who were members of A, one of the 4 biggest internet communication services. The questionnaires were sent to study samples(n= 1,000) and answered by E-mail. Response rate was 37.0%. RESULTS: Firstly, physical health ranked highest and self-perceived health ranked lowest. Secondly, health, anxiety, depression, and self-perceived health showed significant differences between the sexes, with women showing a higher health status in these categories except for self-perceived health. Thirdly, the two factors significantly related to self-perceived health were physical health and self-esteem, as determined by multivariate analysis. CONCLUSIONS: The factors significantly related to self-perceived health were physical health and self-esteem. Further studies of the health characteristics of young adults are needed.
Summary
The Accuracy of ICD codes for Cerebrovascular Diseases in Medical Insurance Claims.
Jong Ku Park, Ki Soon Kim, Chun Bae Kim, Tae Yong Lee, Kang Sook Lee, Duk Hee Lee, Sunhee Lee, Sun Ha Jee, Il Suh, Kwang Wook Koh, So Yeon Ryu, Kee Ho Park, Woonje Park, Seungjun Wang, Hwasoon Lee, Yoomi Chae, Hyensook Hong, Jin Sook Suh
Korean J Prev Med. 2000;33(1):76-82.
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AbstractAbstract PDF
OBJECTIVES
We attempted to assess the accuracy of ICD codes for cerebrovascular diseases in medical insurance claims (ICMIC) and to investigate the reasons for error. This study was designed as a preliminary study to establish a nationwide surveillance system. METHODS: A total of 626 patients with medical insurance claims who indicated a diagnosis of cerebrovascular diseases during the period from 1993 to 1997 was selected from the Korea Medical Insurance Corporation cohort (KMIC cohort: 115,600 persons). The KMIC cohort was 10% of those insured who had taken health examinations in 1990 and 1992 consecutively. The registered medical record administrators were trained in the survey technique and gathered data from March to May 1999. The definition of cerebrovascular diseases in this study included cases which met one of two criteria (Minnesota, WHO) or 'definite stroke' in CT/MRI finding. We questioned the medical record administrators to explain the error if the final diagnoses were not coded as stroke. RESULTS: The accuracy rate of the ICMIC was 83.0% (425 cases). Medical records were not available for 8.2% (51 cases) due to the closing of hospitals, the absence of a computer system or omission of medical record, etc. Sixty-three cases (10.0%) were classified as impossible to interpret due to insufficient records in 'major clinical symptoms' or 'neurological deficits'. The most common reason was 'to meet review criteria of medical insurance benefits (52.9%)'. The department where errors in the ICMIC occurred most frequently was the department for medical insurance claims in the hospital. CONCLUSION: The accuracy rate of the ICMIC was 83.0%.
Summary
What Factors Affect Mortality over the Age of 40?.
Jong Ku Park, Sang Baek Koh, Chun Bae Kim, Myung Guen Kang, Kee Ho Park, Seung Jun Wang, Sei Jin Chang, Soon Ae Sin
Korean J Prev Med. 1999;32(3):383-394.
  • 1,941 View
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AbstractAbstract PDF
OBJECTIVES
This study was conducted to identify the factors influencing the mortality of Koreans over the age of 40 by a nested case-control study. METHODS: The cohort consisted of the beneficiaries of Korea Medical Insurance Corporation for Government Employees & Private School Teachers and Staff(KMIC) who received health examinations of KMIC in 1992 and 1993 retrospectively. At that time, they were more than 40 years old. The cases were 19,258 cohort members who had died until December 31, 1997. The controls were 19,258 cohort members who were alive until December 31, 1997. Controls were matched with age and sex distribution of the cases. The data used in this study were the funeral expenses requesting files, and the files of health examinations and health questionnaires gathered in 1992 and 1993. To assess the putative risk factors of death, student t-test, chi-square test, multiple logistic regression analysis were used. RESULTS: In multiple logistic regression analysis, independent risk factors of death were as follows; systolic blood pressure, diastolic blood pressure, blood glucose, AST, urine glucose, urine protein, alcohol drinking(frequency), cigarette smoking and perceived health status, intake of restoratives and blood transfusion showed positive associations with death; coffee consumption showed negative associations with death; and body mass index and serum total cholesterol showed J-shaped association with death. CONCLUSIONS: Regarding the direction of association, the result of analysis on the data restricted to '96-'97 was same as that of '93-'97. But in some variables such as obesity, serum cholesterol, the odds ratios of death in the data of '96-'97 were higer than those of '93-'94, which suggested that the data of '93-'94 was bearing effect-cause relationship. We concluded that it suggested further researches using long-term follow-up data to be needed in this area.
Summary

JPMPH : Journal of Preventive Medicine and Public Health