• 대한예방의학회:학술대회논문집
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• 2001.10a
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• pp.260-260
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• 2001

• Journal of Preventive Medicine and Public Health
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• v.23 no.2 s.30
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• pp.155-157
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• 1990

• Journal of Preventive Medicine and Public Health
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• v.24 no.2 s.34
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• pp.105-119
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• 1991

• 대한예방의학회:학술대회논문집
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• 1996.10a
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• pp.199-200
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• 1996

• Journal of Preventive Medicine and Public Health
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• v.53 no.2
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• pp.70-70
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• 2020

• Journal of Preventive Medicine and Public Health
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• v.53 no.4
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• pp.256-265
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• 2020

Objectives: We compared the associations of 3 computed tomography (CT)-based abdominal adiposity indexes with non-alcoholic fatty liver disease (NAFLD) among middle-aged Korean men and women. Methods: The participants were 1366 men and 2480 women community-dwellers aged 30-64 years. Three abdominal adiposity indexes-visceral fat area (VFA), subcutaneous fat area (SFA), and visceral-to-subcutaneous fat ratio (VSR)-were calculated from abdominal CT scans. NAFLD was determined by calculating the Liver Fat Score from comorbidities and blood tests. An NAFLD prediction model that included waist circumference (WC) as a measure of abdominal adiposity was designated as the base model, to which VFA, SFA, and VSR were added in turn. The area under the receiver operating characteristic curve (AUC), integrated discrimination improvement (IDI), and net reclassification improvement (NRI) were calculated to quantify the additional predictive value of VFA, SFA, and VSR relative to WC. Results: VFA and VSR were positively associated with NAFLD in both genders. SFA was not significantly associated with NAFLD in men, but it was negatively associated in women. When VFA, SFA, and VSR were added to the WC-based NAFLD prediction model, the AUC improved by 0.013 (p<0.001), 0.001 (p=0.434), and 0.009 (p=0.007) in men and by 0.044 (p<0.001), 0.017 (p<0.001), and 0.046 (p<0.001) in women, respectively. The IDI and NRI were increased the most by VFA in men and VSR in women. Conclusions: Using CT-based abdominal adiposity indexes in addition to WC may improve the detection of NAFLD. The best predictive indicators were VFA in men and VSR in women.

• Journal of Preventive Medicine and Public Health
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• v.44 no.6
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• pp.242-248
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• 2011

Objectives: Busan is reported to have the highest mortality rate among 16 provinces in Korea, as well as considerable health inequality across its districts. This study sought to examine overall and cause-specific mortality and deprivation at the town level in Busan, thereby identifying towns and causes of deaths to be targeted for improving overall health and alleviating health inequality. Methods: Standardized mortality ratios (SMRs) for all-cause and four specific leading causes of death were calculated at the town level in Busan for the years 2005 through 2008. To construct a deprivation index, principal components and factor analysis were adopted, using 10% sample data from the 2005 census. Geographic information system (GIS) mapping techniques were applied to compare spatial distributions between the deprivation index and SMRs. We fitted the Gaussian conditional autoregressive model (CAR) to estimate the relative risks of mortality by deprivation level, controlling for both the heterogeneity effect and spatial autocorrelation. Results: The SMRs of towns in Busan averaged 100.3, ranging from 70.7 to 139.8. In old inner cities and towns reclaimed for replaced households, the deprivation index and SMRs were relatively high. CAR modeling showed that gaps in SMRs for heart disease, cerebrovascular disease, and physical injury were particularly high. Conclusions: Our findings indicate that more deprived towns are likely to have higher mortality, in particular from cardiovascular disease and physical injury. To improve overall health status and address health inequality, such deprived towns should be targeted.

• Journal of Preventive Medicine and Public Health
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• v.39 no.3
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• pp.185-189
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• 2006

It is the actual state of the medical society in our country that many graduates of medical schools want to be clinicians, and accordingly Korea's medical situation is relatively too focused on curative medicine. However, this situation is changing due to several factors including a growing number of doctors, inappropriate regulations for medical fees, changes in social status of doctors themselves, and excessive competition between doctors. Furthermore, we expect more advances in medical field of Korea since Korean government started to attach great importance to sciences and produced policies to support sciences, and as a result, more and more interest and effort in the fields of basic research including preventive medicine is being attached especially by young doctors as compared against the past. However, decline of clinical medicine fields doesn't always mean bright future for the field of preventive medicine. True future is possible and meaningful only when we prepare for it by ourselves. In other words, as the promising future is closed to one who spares no effort, we shouldn't fear to oppose unknown challenges and simultaneously need to support colleagues who bear such a positive mind. It is the most important thing for our preventive medicine doctors to evaluate the past and the present of preventive medicine and to foster a prospective mind to prepare for the future of preventive medicine. I set forth my several views according to directions for the development of preventive medicine which we already discussed and publicized in the academic circle of preventive medicine. Those directions are recommendation of clinical preventive medicine, promotion of preventive medicine specialty, fostering the next generations, improving the quality of genetic epidemiologic study, participation in control of environmental pollution and food safety, contribution to chronic disease control, and preparation to role in medical services for unified Korea.

• Journal of Preventive Medicine and Public Health
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• v.52 no.1
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• pp.14-20
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• 2019

One of the primary goals of epidemiology is to quantify various aspects of a population's health, illness, and death status and the determinants (or risk factors) thereof by calculating health indicators that measure the magnitudes of various conditions. There has been some confusion regarding health indicators, with discrepancies in usage among organizations such as the World Health Organization the, Centers for Disease Control and Prevention (CDC), and the CDC of other countries, and the usage of the relevant terminology may vary across papers. Therefore, in this review, we would like to propose appropriate terminological definitions for health indicators based on the most commonly used meanings and/or the terms used by official agencies, in order to bring clarity to this area of confusion. We have used appropriate examples to make each health indicator easy for the reader to understand. We have included practical exercises for some health indicators to help readers understand the underlying concepts.

• Journal of Korean Academy of Oral Health
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• v.42 no.4
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• pp.101-108
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• 2018

Objectives: The Korea National Health and Nutrition Examination Survey (KNHANES) is a national surveillance system that has been assessing the health and nutritional status of Koreans since 1998. Based on the National Health Promotion Act, the surveys have been conducted by the Korea Centers for Disease Control and Prevention (KCDC). Methods: An oral examination as part of The National Health and Nutrition Examination was proposed to calculate the sample design and survey participation. The surveying system was presented by classifying the measurement environment, screening, and survey items by year, and the merits and limitations of using the data were suggested by examining the status of survey quality management and the process of disclosing raw data. Results: This nationally representative cross-sectional survey samples approximately 10,000 individuals each year and collects information on oral examinations and oral health interviews. Data for the oral health component of KNHANES was obtained to assess the oral health status of Koreans and determine the prevalence of dental caries and periodontitis. The oral health data quality control of KNHANES was composed of three parts: "Education Program" and "Field Training Program" for quality control of oral health examiners (dentists) by the professional academy, and "Data management" by the KCDC. After completion of the three-step data check, the indicators of dental caries, periodontal disease, and oral health behavior were published in the National Health Statistics. Conclusions: To achieve the goals of oral health indicators, we will continue to monitor so that we can use it as basic data for oral policies and carry out various linkage analyses related to oral diseases.