• Journal of Preventive Medicine and Public Health
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• v.34 no.4
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• pp.309-315
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• 2001

Objective : To develop a boner understanding of the relationship between weight status and the prevalence of obesity related diseases in the Korean population. Methods : The 1998 Korean National Health and Nutrition Survey was used and 10,880 persons who had previously taken health examinations were selected for study. The Korean Society for the Study of Obesity's classification of weight status was used. Hypertension, diabetes mellitus, dyslipidemia, osteoarthritis, chronic heart disease, stroke were included as obesity related disease. A logistic regression model was developed to estimate the prevalence odds ratio by obesity class adjusted for demographic and socioeconomic factors and we converted the odds ratio to a prevalence ratio using the base line prevalence of disease to aid in the interpretation of the ratios. Results : The prevalence of obesity was 26.3% based on the KSSO classification $(BMI\geq25)$. A graded increase in the prevalence ratio was observed with increasing severity of overweight and obesity for all health outcomes with the exception of chronic heart disease in men and stroke in both men and women. With normal weight individuals as the reference, for men who were younger than 50 years, the prevalence ratios were highest for hypertension BMI<23-25: 1.70(95% CI=1.41-2.05), 25$BMI\geq30$: 4.83(95% CI=3.70-5.84). The prevalence ratios for dyslipidemia were as high as hypertension, but were lower than hypertension for diabetes mellitus and osteoarthritis. Prevalence ratios generally were greater in younger adults. The prevalence of having 2 or more obesity related diseases increased with weight status category, except in people who were older than 50 years. Conclusions : Based on results, obesity is an increasingly important health problem in Korea and the disease burden increases according to weight status. For Korean adults, the strongest relationship was seen between weight status and hypertension and dyslipidemia. In older people the impact of excess weight and obesity is stronger than that seen in younger people. Increased efforts in the study of obesity and prevention and treatment of obesity and obesity related disease are required.

• Journal of the korean academy of Pediatric Dentistry
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• v.24 no.1
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• pp.195-203
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• 1997

The purpose of this study is to provide framework for understanding women's preventive dental utilization. In this paper Andersen-Newman's model is applied to the use of dental visits. This model consists of predisposing, enabling, and need components that describe a person's decision to use preventive health services. The sample consisted of 1907 women living Iksan city. Models are operationalized using stepwise multiple regression analysis and path analysis. The number of independent variables used in the analysis was 27 in total, i.e. 20 predisposing components, 6 enabling components, and 1 need component. Preventive dental utilization was measured based on the number of visits. The data collected by means of a questionnaire survey. In this study, the amount of variance by the model was 11 percent. Number of restricted activity days caused by oral disease, perceived threat of dental disease, having a regular dental care, and income were found to have significant major effects on preventive dental utilization of women. Number of restricted activity days caused by oral disease was the most important variable affecting preventive dental utilization of women.

• Journal of Preventive Medicine and Public Health
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• v.45 no.5
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• pp.329-330
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• 2012

• 대한예방의학회:학술대회논문집
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• 2005.10a
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• pp.334-334
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• 2005

• Journal of Environmental Health Sciences
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• v.37 no.5
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• pp.387-395
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• 2011

Purpose: This study measured the burden of disease in Korea related to outdoor air pollution using disability-adjusted life year (DALY). Materials and Methods: As a risk factor of outdoor air pollution, particulate matter with a diameter less than 10 ${\mu}m$($PM_{10}$) was used. First, $PM_{10}$-related diseases and their relative risk (RR) were selected by means of a literature review. Second, population attributable fractions were computed by using formulae including RR and population exposure to $PM_{10}$. Third, DALYs of $PM_{10}$-related diseases in Korea were estimated. Finally, the attributable burden of disease due to $PM_{10}$ was measured as the sum of the products that multiplied the DALYs of $PM_{10}$-related diseases by their population attributable fractions. Results: The disease burden of PM10 was 6.9 DALY per 1,000 persons in 2007. The attributable burden of $PM_{10}$ was 2.68 for lung cancer, 2.41 for COPD, 0.62 for ischemic heart disease, 0.61 for pneumonia, 0.55 for asthma, and 0.03 for preterm. Conclusions: This study showed the environmental burden of disease of $PM_{10}$ and burden of $PM_{10}$-related disease through objective data. It also suggested that active efforts are needed to continuously measure and reduce the burden of environmental diseases in Korea.

• Journal of Environmental Health Sciences
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• v.37 no.4
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• pp.250-257
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• 2011

Objectives: This study was aimed at re-assessing the environmental burden of disease attributable to waterrelated diseases using available local data from Korea. Methods: The general methods and the operational definitions for water, sanitation and hygiene applied to the study were based on an environmental burden of disease study conducted by WHO. Eleven water-related diseases were selected. The attributable fraction for diarrhea was calculated by assessing local exposure levels to drinking water, sanitation and hygiene according the scenario-based approach. The attributable fractions for the other ten diseases were derived from the results of the environmental burden of diseases study. The attributable DALYs were measured by using the attributable fractions and local health statistics. Results: The total environmental burden of disease attributable to water, sanitation and hygiene for Korea was 0.9210 DALY per 1000 capitals. Of the total burden of disease, the attributable burden of diarrhea was 0.8863 (96.1%), the attributable burden of malaria and malnutrition was 0.0236 and 0.0063 DALY per 1000 capitals, respectively. There was little burden of disease measured for other diseases. Conclusions: This study is meaningful in re-assessing the environmental burden of disease using available local exposure data and health statistics. Quantitative analysis of the environmental risk factors and a health impact assessment would be helpful to prioritize health policies or interventions in the future.

• Journal of Preventive Medicine and Public Health
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• v.42 no.6
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• pp.349-355
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• 2009

Biomarkers are characteristic biological properties that can be detected and measured in a variety of biological matrices in the human body, including the blood and tissue, to give an indication of whether there is a threat of disease, if a disease already exists, or how such a disease may develop in an individual case. Along the continuum from exposure to clinical disease and progression, exposure, internal dose, biologically effective dose, early biological effect, altered structure and/or function, clinical disease, and disease progression can potentially be observed and quantified using biomarkers. While the traditional discovery of biomarkers has been a slow process, the advent of molecular and genomic medicine has resulted in explosive growth in the discovery of new biomarkers. In this review, issues in evaluating biomarkers will be discussed and the biomarkers of environmental exposure, early biologic effect, and susceptibility identified and validated in epidemiological studies will be summarized. The spectrum of genomic approaches currently used to identify and apply biomarkers and strategies to validate genomic biomarkers will also be discussed.

• 대한예방의학회:학술대회논문집
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• 2005.10a
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• pp.401-401
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• 2005

• The Korean Journal of Emergency Medical Services
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• v.26 no.2
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• pp.47-59
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• 2022

Purpose: This study aimed to survey coronavirus disease (COVID-19) related knowledge, preventive possibility, and preventive behaviors levels among college students and identify the correlation between these variables. Methods: An online survey was conducted among college students from October 25 to November 5, 2021. The data were analyzed by an independent t-test and Pearson's correlations. Results: A total of 344 college students participated. The correct answer rate for COVID-19 knowledge level was high, infection and preventive possibility levels were moderate, and the anxiety level was high. Infection possibility had a positive correlation with anxiety and preventive behaviors had a positive correlation with preventive possibility. Conclusion: The findings regarding COVID-19 perception can be used to develop appropriate health policies for infectious disease prevention behaviors in educational fields.

• Journal of Preventive Medicine and Public Health
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• v.23 no.3 s.31
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• pp.345-357
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• 1990

Accumulated data on medical care utilization among the insured in Korea Medical Insurance Corporation can explain the health status of the population. The purpose of this study was to analyze a change of the disease-mix and utilization pattern by controlling the size of the population enrollment. Major findings of the study are as follows : 1. The changes of inpatient disease-mix a. Utilization rate was 139.2% in 1988 against 1980. b. Disease groups higher than the average utilization rate included neoplasms, endocrine, nutritional and metabolic diseases and immunity disorders, mental disorders etc. Meanwhile, disease groups seen less often were infections and parasistic diseases, diseases of blood and bloodforming, diseases of the digestive system etc. c. Utilization rate was up 106.3% in 1988 compared to 1985, and diseases above that average level were ill-defined intestinal infections, chronic liver disease and cirrhosis, diabetes mellitus, essential hypertension, etc. d. The disease-mix by institution in 1988 compared to 1985 shows that chronic disorders rank high in general hospitals whereas opthalmologic, obstetric, and orthopedic diseases rank high in private clinics. 2. The changes of outpatient disease-mix a. Utilization rate was up 175.2% in 1988 compared to 1980. b. Disease groups higher than the average utilization rate included neoplasms, endocrine, nutritional and metabolic diseases and immunity disorders, mental disorders etc. And disease groups seen less often were infections and parasistic diseases, diseases of the respiratory system, diseases of the genitourinary system. etc. c. Utilization rate was up 104.0% in 1988 compared to 1985, and diseases above that average level were gastric ulcer, diseases of hard tissues of teeth, etc. And diseases seen below that average level were acute nasopharyngitis(common cold). acute upper respiratory infections of multiple or unspecified sites, etc. It was concluded that medical care utilization level was increased, and that, from 1980 to 1988, disease-mix shifted to the chronic disorders. Chronic disorders accounted for more medical care utilization in general hospitals.