Park, Phil-Sook;Jeong, Gi-Man;Kim, Jong-Hyun;Paik, Ji-Hyun;Park, Mi-Yeon
Journal of the Korean Society of Food Culture
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v.18
no.2
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pp.123-133
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2003
The purpose of this study is to compare the correlation of clinical characteristics and patterns of disease. Subjects of the study were the adults(207) living in Geoje City, the diabetes mellitus and the hypertension patients(166) and the normal people(41). In the diabetes mellitus group and the hypertension group, blood pressure, blood glucose, total cholestero LDL-cholesterol and atherogenic index(AI) were significantly high. As the obesity index was getting higher, the blood pressure of the diabetes mellitus group was high, and the HDL-cholesterol of the hypertension group was low, but AI of it was significantly high. The AI was significantly high as serum lipid index were getting higher in both groups. The rate of the prevalence was very high in the diabetes mellitus group(74.3%) and the hypertension group(73.7%). The pattern in the diabetes mellitus group was in order of the hypertension, the hyperlipidemia, and the obesity but, in the hypertension group was the hyperlipidemia, and the obesity. The obesity index and serum lipid index of complex patient group were higher than single patient group.
This study examined the health conditions of schoolteachers in terms of the prevalence rate and risk factors for liver disease. A cohort design was conducted for 21,319 teachers who were born from 1953 to 1957. The cohort was constructed for teachers who had no disease history such as liver disease, hypertension, cerebral vascular disease, heart disease, diabetes mellitus and cancer, and had 'normal' results from liver disease examinations in 1998. They were followed up from 1998 to 2000. SAS 6.12 was used for the data analysis. The results were as follows; (1) Prevalence rates of liver disease per 1,000 people in 1998 were 43.0. (2) The 2-year cumulative incidence of liver disease was 433/16,103(26.9/1000 persons). (3) Factors such as sex, age, school type(private or public), drinking, smoking, exercise, BMI, weight gain, fasting-blood sugar levels and total cholesterol levels were statistically significant. The significant risk factors of liver disease be identified from the multiple logistic regression analysis were age, sex(male), drinking, smoking, BMI, weight gain, fasting-blood sugar levels, and total cholesterol levels.
This study aims to find out the prevalence of smoking, and to analyze the effect of smoking for health status, and then to emphasize the necessity of stop smoking. The data used in this study are obtained from periodic health care programe at Health Care Center in a suburban hospital, and selected 435 males who have occupation. The independent varibles chosen for the analysis are general charactersitic variables and smoking habit. The dependent variables are designed to cover the health status of individual cases, and include blood pressure, blood cholesterol level with HDL-cholesterol and blood triglyceride level, recent symptoms and recently being managed diseases. The result of this study are summarized as follows. 1) Percentage of smoker by the age groups is highest in 4th decade, being 71.1%. The second and third ranks are 6th and 7th decades, being 53.5% and 44.4%, respectively. 2) In the view of socio-economic levels, smoking rate is higher in the groups who live at rural area and whoes occupation is labor or merchant. Smoking rate is significantly higher in the heavy drinking group. 3) Among the atherosclerotic risk factors, which include hypertension, HDL-cholesterol by total cholesterol ratio lower than 0.2 and triglyceride level higher than 200gm/dl, hypertension was not statistically associated with smoking, but others revealed statistically high association with smoking. 4) The groups who have the symptoms of severe fatigue, gastrointestinal symptoms, pulmonary symptoms, palpitation and chest tightness havepositive association with smoking. 5) The groups who have hypertension with cardiovascular diseases and gastrointestinal diseases showed highly significant association with non-smoking. 6) In relation of the smoking habit to the atherosclerotic risk factor index, smokers have more atherosclerotic risk factors, but that is not statistically significant. 7) In relation of the smoking habit to the recent symptom index, smokers have more symptoms than non-smokers with statistical significance. In conclusion, smokers have worse health status than non-smokers especially in the atherosclerotic risk factors such as hypertension or abnormal blood lipid status and have more symptoms such as severe fatigue, gastrointestinal symptoms, pulmonary symptoms, palpitation and chest tightness. And the campaingn against smoking should direct for the male in 4th decade because they have highest smoking rate.
Objectives: The budget gap in the health sector of local governments affects the supply of health services, which can cause the health gap. This study classified local governments according to their financial characteristics, such as local financial independence and health budget level. It analyzed the health behaviors and disease prevalence of local residents to examine the effect of local government financial investment on the health of local residents. Methods: To classify types according to the financial characteristics of local governments, financial independence and the health budget data for 17 local governments were collected from the local fiscal yearbook of the Ministry of Public Administration and Security. The prevalence of chronic diseases and healthy behavior was compared using the 16,333 data of adults between the ages of 30 and 65 years among the original data of the National Health and Nutrition Examination Survey (2016-2020). Results: Cluster analysis was used to classify local governments into five clusters according to the health financial capacity type. A comparison of the prevalence of local residents by cluster revealed a similar prevalence of hypertension, diabetes, and hypercholesterolemia. On the other hand, the obesity rate (P < 0.01), high-risk drinking rate (P < 0.01), aerobic physical activity rate (P < 0.001), and healthy eating practice rate (P < 0.001) were significantly different. In addition, an analysis of the odds ratio based on the Seoul area revealed a higher risk of health behavior of non-Seoul residents. Conclusions: It is necessary to review the universal health promotion project budget considering the degree of regional financial vulnerability from the viewpoint of health equity to narrow the health gap among regions.
Journal of agricultural medicine and community health
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v.24
no.2
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pp.301-314
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1999
To evaluate the ischemic heart disease risk factors and analysis on the its relationship between risk factors and ischemic heart disease on EKG findings in a rural area, We conducted cross-sectional health screening test for 1304 persons aged over 30 years. Blood pressure, total cholesterol, HDL cholesterol, fasting blood glucose, BMI and Waist/hip ratio, smoking data and EKG data were collected. Hypertension was classified by the sixth report of the Joint National Committee on Detection, Evaluation, and Treatment of High Blood Pressure and the cutpoints of hyperlipidemia was used National Cholesterol Education Program. The cutpoint of hyperglycemia was used National Diabetes Data Group and those for obese was 30%. The results obtained were as follows; 1. Prevalence of definitive hypertension was 41.2% in males and 41.6% in females. The prevalence of hypertension showed Increasing tendency according to age increase(p<0.05). 2. Prevalence of hyperlipidemia was 20.6% in males and 20.4% in female. In females prevalence of hyperlipidemia showed increasing tendency according to age increase(p<0.001). 3. Prevalence of obese was 23.4% in males and 28.8% in females. Upper body type was predominant in females, but lower body type was predominant in males. 4. Prevalence of hyperglycemia was 11.0% in males and 12.1% in females. The prevalence of hyperglycemia showed increasing tendency according to age increase(p<0.01). 5. The smoking rate was 63.7% in males and 2.6% in females. 6. On the EKG findings, the prevalence of myocardial ischemia and myocardial infarction was 6.7% in males and 7.5% in females. 7. The prevalence of Ischemic heart disease was higher in hypertension than normal in females and higher in obese than normal in males. In males and females the prevalence of ischemic heart disease was higher in hyperglycemia than normal and higher in upper body type than lower body type. But there is no statistical association among them.
Objectives: This study examined the changes in dietary habits, the prevalence of chronic diseases, and mental health problems in the regional areas of the Republic of Korea before and after the COVID-19 pandemic to provide evidence of the status of regional health inequalities. Methods: This study analyzed Korean adults aged 19 or older who participated in the Korea Community Health Survey (n = 686,708) and Consumer Behavior Survey for Foods (n = 19,109) from 2018 to 2020. The participants were classified according to their residence area (Seoul metropolitan area, Metropolitan cities, Provinces); 2018-2019 were defined as before COVID-19, and 2020 as after COVID-19. The dietary behaviors, chronic diseases, and mental health problems were measured using a self-report questionnaire. Results: After COVID-19, the eating-out usage rate in the Seoul metropolitan area and Provinces decreased compared to before COVID-19 (P < 0.001), and when responding that they eat out, the frequency of eating out with household members in the Seoul metropolitan area increased (P = 0.024). The deliveries/takeout usage rate in the Provinces decreased after COVID-19 compared to before (P < 0.001). After COVID-19, the prevalence of obesity decreased in all regions (P < 0.001), and the prevalence of hypertension increased significantly in the Provinces (P = 0.015). The prevalence of diabetes mellitus increased continuously before and after COVID-19 in all regions (P < 0.002). High-risk subjective stress levels increased significantly in the Seoul metropolitan area (P < 0.001), and sleep duration significantly increased in all regions (P < 0.001). Major depressive disorder was reduced significantly in Metropolitan cities (P = 0.042) and Provinces (P < 0.001). Conclusions: After the COVID-19 pandemic, the prevalence of chronic diseases and mental health problems showed regional differences along with changes in dietary habits. It is necessary to reflect the regional differences in dietary habits in future policies resolving regional health inequalities.
Background: The purpose of this study is to forecast changes in the prevalence of chronic diseases and health expenditure by age group. Methods: Based on the Future Elderly Model, this study projects the size of Korean population, the prevalence of chronic diseases, and health expenditure over the 2014-2040 period using two waves (2012, 2013) of the Korea Health Panel and National Health Insurance Service database. Results: First, the prevalence of chronic diseases increases by 2040. The population with hypertension increases 2.04 times; the diabetes increases 2.43 times; and the cancer increases 3.38 times. Second, health expenditure on chronic diseases increases as well. Health expenditure on hypertension increases 4.33 times (1,098,753 million won in 2014 to 4,760,811 million won in 2040); diabetes increases 5.34 times (792,444 million won in 2014 to 4,232,714 million won in 2040); and cancer increases 6.09 times (4,396,223 million won in 2014 to 26,776,724 million won in 2040). Third, men and women who belong to the early middle-aged group (44-55 years old) as of 2014, have the highest increase rate in health spending. Conclusion: Most Korean literature on health expenditure estimation employs a macro-simulation approach and does not fully take into account personal characteristics and behaviors. Thus, this study aims to benefit medical administrators and policy makers to frame effective and targeted health policies by analyzing personal-level data with a microsimulation model and providing health expenditure projections by age group.
This study suggests a model for continuing and comprehensive management of hypertension or Type 2 diabetes mellitus (T2DM) in Korea. Moreover, this paper computed the contribution cost of hypertension or T2DM management using the healthcare medical cost, which could have occurred from stroke, myocardial infarction (MI), and end-stage renal disease (ESRD) that were successfully prevented from the effective hypertension or T2DM management. Additionally, these costs were compared with the cost of implementing the hypertension or T2DM management model suggested in this study. This study used the medical fee summary of the health insurance claims submitted to National Health Insurance Corporation by medical facilities for services provided during the period from January 1st 1999 to December 31st 2006. The prevalence rate with treatment referred to cases in which patients submitted their medical claims at least once during the period, along with an accordant diagnosis. The incidence rate with treatment referred to cases in which patients who never submitted claims for the accordant disease during the five years from 1999 to 2003 submitted claims for the accordant disease in 2004 and 2005. The relative risk of the occurrence of stroke, MI and ESRD was 11.0, 13.6, and 30.3, respectively. The attributable risk of hypertension or T2DM for stroke was 0.730, and that for MI and ESRD were 0.773 and 0.888, respectively. Based on these, the contribution cost of hypertension or T2DM is estimated to be 986.3 billion Korean Won(KRW) for stroke patients, 330.5 billion KRW for MI patients, and 561.7 billion KRW for ESRD patients as in 2005. Hence, the total contribution cost of hypertension or T2DM to stroke, MI, and ESRD is 1.878 trillion KRW. The estimate for operational costs included an annual expenditure of 50,000 KRW per each recipient and an annual subsidy of 0.22 million KRW per person for the 1.6 million low.income individuals with hypertension or T2DM to cover their out.of.pocket medical expenses. Under this assumption, it took approximately 0.6 trillion KRW to manage 5 million high.risk patients in the low. and mid.income range, coverings up to 50% of costs. In conclusion, considering the potential benefits of preventing stroke, MI, and ESRD, the costs seems to be reasonable.
We investigate how the regional prevalence of hyperlipidemia is affected by health-related and socioeconomic factors with a special emphasis on geographic variations. We focus on the likelihood of hyperlipidemia as function of various region-specific attributes. We analysis a data set at the level of 249 small administrative districts collected from 2012 Korean Community Health Survey by Korea Centers for Disease Control and Prevention. To estimate, we use several methods including correlation analysis, multiple regression and decision tree model. We find that the average prevalence of hyperlipidemia in 249 small districts is 9.6% and its coefficient of variation is 28.3%. Prevalence of hyperlipidemia in continental and capital regions is higher than in southeast coastal regions. Further findings using decision tree model suggest that variations of hyperlipidemia prevalence between regions is more likely to be associated with rate of employee, level of stress, prevalence of hypertension, angina pectoris, and osteoarthritis in their regions.
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