• Asian Journal of Atmospheric Environment
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• v.2 no.1
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• pp.68-74
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• 2008

We briefly show the results of indoor and personal $PM_{2.5}$ measurements in an epidemiologic study designed to evaluate the health risks of ambient $PM_{2.5}$ in Japan and the relationship between indoor and outdoor PM concentrations. The impact of indoor and outdoor PM pollution on health is described based on one morbidity study. The results of other studies on indoor $PM_{2.5}$ measurements are also described.

• Journal of Preventive Medicine and Public Health
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• v.42 no.6
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• pp.343-348
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• 2009

The final decision of study design in molecular and genetic epidemiology is usually a compromise between the research study aims and a number of logistical and ethical barriers that may limit the feasibility of the study or the interpretation of results. Although biomarker measurements may improve exposure or disease assessments, it is necessary to address the possibility that biomarker measurement inserts additional sources of misclassification and confounding that may lead to inconsistencies across the research literature. Studies targeting multi-causal diseases and investigating gene-environment interactions must not only meet the needs of a traditional epidemiologic study but also the needs of the biomarker investigation. This paper is intended to highlight the major issues that need to be considered when developing an epidemiologic study utilizing biomarkers. These issues covers from molecular and genetic epidemiology (MGE) study designs including cross-sectional, cohort, case-control, clinical trials, nested case-control, and case-only studies to matching the study design to the MGE research goals. This review summarizes logistical barriers and the most common epidemiological study designs most relevant to MGE and describes the strengths and limitations of each approach in the context of common MGE research aims to meet specific MEG objectives.

• Safety and Health at Work
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• v.13 no.2
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• pp.227-234
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• 2022

Background and Purpose: In 2021, lung cancer in school food workers was first recognized as an occupational cancer. The classification of the carcinogenicity of cooking fumes by International Agency for Research on Cancer (IARC) was based on Chinese epidemiological data. This study aimed to determine the hazard levels of school cooking fumes in Korea. Materials and Methods: Based on public school cafeterias in one area, 25 locations were selected for the survey according to the number per school type, ventilation states, and environmental pre-assessments of cafeterias. Two inside cooking areas using a heat source and one outside cooking area were selected as control measurement points. Measurements of CO, CO₂, polycyclic aromatic hydrocarbons (PAHs), and total volatile organic compounds (TVOCs), including benzene, formaldehyde, and particulate matter (PM10, PM2.5, PM1, respectively), were taken. The concentrations and patterns of each substance in the kitchens were compared with the outdoor air quality. Result: Known carcinogens, such as the concentrations of PAHs, formaldehyde, TVOC (benzene), and particulate matter in school cooking fumes, were all detected at similar or slightly higher levels than those found outside. Additionally, substances were detected at relatively low concentrations compared to the Chinese cooking fumes reported in the literature. However, the short-term exposure to high concentrations of CO (or composite exposure with CO₂) and PM2.5 in this study were shown. Conclusion: The school cooking fumes in South Korea was a relatively less harmful than Chinese cooking fumes, however short-term, high exposure of toxic substances can cause a critical health effect.

• The Korean Journal of Applied Statistics
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• v.25 no.3
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• pp.435-446
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• 2012

Epidemiologic studies frequently try to estimate the impact of a specific risk factor. The risk difference and the risk ratio are generally useful measurements for this purpose. When using such measurements for rare events, the standard approaches based on the normal approximation may fail, in particular when no events are observed. In this paper, we discuss and evaluate several existing methods to construct confidence intervals around risk differences and risk ratios using Monte-Carlo simulations when the disease of interest is rare. The results in this paper provide guidance how to construct interval estimates of the risk differences and the risk ratios when no events are detected.

• Journal of Community Nutrition
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• v.1 no.1
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• pp.39-43
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• 1999

Anthropometric measurements, particularly weight and height, are the most commonly employed measures of nutritional status in epidemiologic studies because of their simplicity and ease of collection. However, the usefulness of the anthropometric indicator is controversial. The aim of this study was to evaluate the usefulness of the anthropometric indicator to represent the nutritional status of individual adult in epidemiologic studies. In order to evaluate the usefulness of the anthropometric indicator to represent the nutritional status of individual, the validity in terms of sensitivity and specificity of anthropometric indicators was estimated by comparing the biochemical indicators to the reference indicators. The relative validity of dietary intake indicators was also measured for comparison between the three indicators of biochemistry, anthropometry and dietary assessment. The results showed that sensitivity of weight and height and dietary indicators were 16.7 an 50.5, respectively comparing the reference value of 100 as biochemical indicator in identifying anemic adults. Whereas the sensitivity of weight and height and dietary indicators were 63.6 and 36.4, respectively comparing reference value of 100 in identifying hyperlipidemic individuals(obesity). In conclusion, the validity of weight and height is much lower than that of biochemical indicator, burt weight and height still has some usefulness in identifying anemic individuals. Especially, it is more useful in identifying hyperlipidemic individual adults thant in identifying anemic individuals.

• The korean journal of orthodontics
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• v.17 no.1
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• pp.107-117
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• 1987

The study was designed to examinate the discrimination rate of 4 antero-posterior cephalometric measurements from Angle's malocclusion groups. The material was 246 cephalometric radiographs taken from 42 Normal occlusions, 83 Class I malocclusions, 64Class II Division I malocclusions, 57Class III malocclusions. ANB angle, APDI, AB/OP angle, and Wits appraisal as measurements of antero-posterior skeletal relationship were measured on the cephalometric radiographs and statistically analyzed by the Canonical Discriminant Function. The results of this study were as follows: 1. ANB angle, APDI, AB/OP angle, and Wits appraisal were clinically useful measurements for the evaluation of the antero-posterior skeletal relationship. 2. The rates that discriminate actual malocclusion groups were $77.45\%$ in Wits appraisal, $74.02\%$ in AB/OP angle, $71.08\%$ in ANB angle, and $70.59\%$ in APDI. 3. The discrimination rate of actual Class III malocclusion show above $93\%$, but actual Class I and Class II division I malocclusions were relatively low.

• 대한예방의학회:학술대회논문집
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• 1995.10a
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• pp.91-92
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• 1995

• Communications for Statistical Applications and Methods
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• v.11 no.1
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• pp.181-187
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• 2004

One of objectives in epidemiologic studies is to detect the amount of change caused by a specific risk factor. Risk ratio is one of the most useful measurements in epidemiology. When we perform the inference for this measurement with rare events, the standard approach based on the normal approximation may fail, in particular when there are no disease cases observed. In this paper, we discuss and evaluate several existing methods for constructing a confidence interval of risk ratio through simulation when the disease of interest is a rare event. The results in this paper provide guidance with how to construct interval estimates for risk difference and risk ratio when there are no disease cases observed.

• Journal of Nutrition and Health
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• v.32 no.2
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• pp.189-196
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• 1999

This study was conducted to investigate the relationships among the levels of fasting serum insulin, free fatty acid, lipids and anthropometry in normal-weight female college students. Serum insulin and free fatty acid levels were negatively correlated. However, insulin, triglyceride, and cholesterol levels were not correlated with fat mass or BMI(body mass index). The ability of anthropometric and biochemical indicators to predict fatness could be important for epidemiologic and clinical research. In the subjects, waist cirumference was correlated with BMI, fat mass and percent body fat, and HDLC/CHOL (high density lipoprotein cholesterol/cholesterol)was correlated with body weight, BMI, and fat mass. Our data suggests than waist circumference and HDLC/CHOL are predictors of fatness, whereas WHR apears to be a less important contributor to fatness in female college students.

• 대한예방의학회:학술대회논문집
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• 1994.02a
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• pp.426-430
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• 1994

The assessment of exposure is an important component of the risk assessment process. Exposure information is used in risk assessment in at least two ways: 1) in the identification of hazards and the epidemiologic research investigating exposure-response relationships and 2) in the development of population exposure estimates. In both of these cases, the value of a chemical risk assessment is enhanced by improvements in the quality of exposure assessments. The optimum exposure assessment is the direct measurement of population exposure; however, such measurements are rarely available. Recent developments in methods for exposure assessment allow estimates to be made that are valid representations of actual exposure. The use of these exposure estimates to classify exposures correctly enhances the likelihood that causal associations between exposure and response will be correctly identified and that population risks will be accurately assessed.