• Annals of Occupational and Environmental Medicine
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• 제35권
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• pp.35.1-35.11
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• 2023

Background: Cardio-cerebrovascular diseases (CVDs) are the most common cause of death worldwide. Various CVD risk assessment tools have been developed. In South Korea, the Korea Occupational Safety & Health Agency (KOSHA) and the National Health Insurance Service (NHIS) have provided CVD risk assessments with health checkups. Since 2018, the KOSHA guide has stated that NHIS CVD risk assessment tool could be used as an alternative of KOSHA assessment tool for evaluating CVD risk of workers. The objective of this study was to determine the correlation and agreement between the KOSHA and the NHIS CVD risk assessment tools. Methods: Subjects of this study were 17,485 examinees aged 20 to 64 years who had undergone medical examinations from January 2021 to December 2021 at a general hospital. We classified subjects into low-risk, moderate-risk, high-risk, and highest-risk groups according to KOSHA and NHIS's CVD risk assessment tools. We then compared them with cross-analysis, Spearman correlation analysis, and linearly weighted kappa coefficient. Results: The correlation between KOSHA and NHIS tools was statistically significant (p-value < 0.001), with a correlation coefficient of 0.403 and a kappa coefficient of 0.203. When we compared risk group distribution using KOSHA and NHIS tools, CVD risk of 6,498 (37.1%) participants showed a concordance. Compared to the NHIS tool, the KOSHA tool classified 9,908 (56.7%) participants into a lower risk category and 1,079 (6.2%) participants into a higher risk category. Conclusions: In this study, KOSHA and NHIS tools showed a moderate correlation with a fair agreement. The NHIS tool showed a tendency to classify participants to higher CVD risk group than the KOSHA tool. To prevent CVD more effectively, a higher estimation tool among verified CVD risk assessment methods should be selected and managements such as early intervention and treatment of risk factors should be performed targeting the high-risk group.

• 한국지반환경공학회 논문집
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• 제20권2호
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• pp.5-18
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• 2019

본 연구에서는 경상북도 전체를 대상으로 공간분포형 습윤지수와 뿌리보강무한사면안정해석 이론을 활용한 광역적인 산사태 분석을 실시하였다. 해석을 수행하기 위해 수치지도와 정밀토양도, 임상도 등을 이용하여 지형 지질학적 매개변수를 추출하고 $10m{\times}10m$ 해상도의 공간분포형 데이터베이스를 구축하였으며, 공간분포형 습윤지수를 생성하기 위한 비 집수면적은 무한방향흐름기법을 적용하였다. 광역적인 산사태 위험도 평가를 위한 안전율은 4개 등급으로 구분하여 도시하였다. 위험도 평가결과, 산사태 위험지역은 봉화와 김천 등 실제 최근의 산사태 발생지역과 유사성을 갖는 것으로 나타났으며 특히 산지와 인접한 지역에 unstable 지역이 집중적으로 분포되어 있는 것으로 분석되었다. 또한 산사태 기록과 비교해본 결과, 본 해석모형이 합리적인 매개변수의 축적을 통해 광역적인 산사태 위험성을 평가하는 유효한 방법임을 확인할 수 있다.

• 한국재난정보학회 논문집
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• 제18권3호
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• pp.444-456
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• 2022

연구목적: 연구실험실에는 사전유해인자위험분석을 실시하도록 하고 있으나 실행하지 않는 연구실험실이 많다. 연구실험실의 안전을 확보하기 위한 목적으로 좀 더 쉽게 위험성평가를 적용 할 수 있도록 개선점을 찾고자 한다. 연구방법: 선행논문 및 과학기술정보통신부 연구실 안전관리 실태조사 보고서 자료를 활용하였다. 사전유해인자위험분석과 산업안전보건법에 의한 위험성평가를 비교하여 연구하였다. 연구결과: 연구실험실에 대한 위험성을 평가할 수 있는 기법을 제시하였다. 연구실험실 위험성평가시 가능성(빈도)과 중대성(강도)의 크기를 추정할 수 있도록 방법을 제시하였다. 결론: 연구실험실에서 쉽게 적용할 수 있도록 체크리스트 형태의 위험성평가 기법을 제시하였고, 실제 평가해 보았다. 연구실험실에서 위험성평가를 통한 개선을 실시하여 안전사고 예방에 도움이 될 것으로 기대한다.

• 정보보호학회논문지
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• 제27권1호
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• pp.129-145
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• 2017

본 연구는 지속적으로 발생하고 있는 개인정보 유출사고에 대한 기업의 리스크와 손해금액 산출을 위해, 최신 리스크 분석방법론인 FAIR(Factor Analysis of Information Risk)를 사용하였다. FAIR를 통해서 실제 개인정보 유출 사고 기업을 예를들어, 손해금액을 분석하고 산출하는 방법론을 제시 하였다. 전문가 집단의 설문을 실시하고 AHP(Analytic Hierarchy Process) 방법론을 사용하여 손해금액 산정요소의 중요도와 적절성을 객관적으로 평가하였다, 본 연구를 통해서 개인정보보호 실무 담당자는 스스로 손해금액을 최신 리스크 평가 방법론을 통해서 산정하고 입증할 수 있다. 또한 본 연구의 손해금액 산정요소를 해당기업에 맞게 선택하여 정확한 개인정보 유출에 따른 손해금액 등 경제적 손실을 추정할 수 있으며, 사고조치 및 예방대책의 수립과 경영진에게 보고할 수 있는 객관적인 근거를 확보 할 수 있다.

• Asian Pacific Journal of Cancer Prevention
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• 제14권5호
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• pp.3169-3173
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• 2013

Background: Findings from previous published studies regarding the association of the XRCC3 Thr241Met polymorphism with glioma susceptibility have often been conflicting. Therefore, a meta-analysis including all available publications was carried out to make a more precise estimation of the potential relationship. Methods: By searching the electronic databases of Pubmed and Embase (up to April 1st, 2013), a total of nine case-control studies with 3,752 cases and 4,849 controls could be identified for inclusion in the current meta-analysis. Odds ratios (ORs) with 95% confidence intervals (CIs) were calculated to assess the strength of the association. Results: This meta-analysis showed the XRCC3 Thr241Met polymorphism to be significantly associated with decreased glioma risk in the allelic model (Met allele vs. Thr allele: OR= 0.708, 95%CI= 0.631-0.795). Moreover, we also observed a statistically significant association between the XRCC3 Thr241Met polymorphism and reduced glioma risk in analyses stratified by ethnicity (Asian) and source of controls (hospital based) in the allelic model. Conclusions: Current evidence suggests that the XRCC3 Thr241Met polymorphism may be a risk factor for glioma development, especially in Asians.

• 한국건설관리학회논문집
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• 제13권5호
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• pp.12-24
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• 2012

턴키계약방식(Design Build)은 설계시공 일괄계약방식으로 책임 한계가 보다 광범위하게 적용되어 프로젝트 수행 초기 설계 단계부터 설계비 부담 증가 등 일반 분리발주공사 보다 리스크 발생율이 높은 실정이다. 따라서 이번 연구에서는 턴키계약프로젝트에서 리스크요인의 분석 및 정량적 평가 방안을 연구하였다. 이 번 연구는 프로젝트참여자로부터 수집한 설문조사자료를 이용하여 통계분석을 수행한 결과 총145개의 리스크변수중 전체 참여자 그룹이 동의하는 DB프로젝트에서의 리스크변수는 25개로 나타났다. 요인분석을 통하여 이를 8가지 리스크요인으로 함축할 수 있었으며 이중 3가지 요인인 건설현장관련, 계약관련 및 설계관련 리스크요인이 72%의 가중치를 나타내었다. 리스크변수 및 리스크요인에 따른 가중치와 결합확률을 이용하여 리스크요인에 기인한 추정손실의 크기를 전체공사비에 대한 백분율로 추정한 결과 약 6%로 나타났고, 리스크 요인상호영향을 고려하면 약 10%를 나타나 리스크대응을 위하여 전체공사비의 약 6%~10%의 예비비를 계상할 필요가 있는 것으로 나타났다.

• 한국군사과학기술학회지
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• 제12권2호
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• pp.199-205
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• 2009

A simple and effective analysis method is presented for predicting the best infiltration area. Based on geospatial information, numerical estimation barometer for degree of infiltration risk has been derived. The dominant geospatial features influencing infiltration risk have been found to be area altitude, degree of surface gradient, relative direction of surface gradient to the surveillance line, degree of surface gradient repetition, regional forest information. Each feature has been numerically expressed corresponding to the degree of infiltration risk of that area. Four different detection probability maps of infiltration risk for the surveillance area are drawn on the actual map with respect to the numerically expressed five dominant factors of infiltration risks. By combining the four detection probability maps, the complete picture of thr best infiltration area has been drawn. By using the map and the analytic method the effectiveness of surveillance operation can be improved.

• 응용통계연구
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• 제25권5호
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• pp.757-773
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• 2012

Traditional value at risk(S-VaR) has a difficulity in predicting the future risk of financial asset prices since S-VaR is a backward looking measure based on the historical data of the underlying asset prices. In order to resolve the deficiency of S-VaR, an economic value at risk(E-VaR) using the risk neutral probability distributions is suggested since E-VaR is a forward looking measure based on the option price data. In this study E-VaR is estimated by assuming the generalized gamma distribution(GGD) as risk neutral density function which is implied in the option. The estimated E-VaR with GGD was compared with E-VaR estimates under the Black-Scholes model, two-lognormal mixture distribution, generalized extreme value distribution and S-VaR estimates under the normal distribution and GARCH(1, 1) model, respectively. The option market data of the KOSPI 200 index are used in order to compare the performances of the above VaR estimates. The results of the empirical analysis show that GGD seems to have a tendency to estimate VaR conservatively; however, GGD is superior to other models in the overall sense.

• Asian Pacific Journal of Cancer Prevention
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• 제15권5호
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• pp.2257-2262
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• 2014

A series of studies have explored the role of cytosolic serine hydroxymethyltransferase (SHMT1) C1420T polymorphism in cancer risk, but their results were conflicting rather than conclusive. To derive a more precise estimation of the association between C1420T and cancer risk, the present meta-analysis of 28 available studies with 15,121 cases and 18,023 controls was conducted. The results revealed that there was no significant association between the polymorphism and cancer risk overall. In stratified analysis by cancer type (breast cancer, gastrointestinal cancer, leukemia, lymphoma, and others), the results showed that 1420T allele was associated with decreased risk in leukemia (CT vs. CC: OR= 0.825, 95% CI =0.704-0.966; and CT+TT vs. CC: OR= 0.838, 95% CI = 0.722-0.973), but the same results were not present for other cancer types. When subgroup analysis was performed by source of control (population-based [PB] and hospital-based [HB]), a borderline inverse association was observed for the HB subgroup (CT vs. CC: OR= 0.917, 95% CI = 0.857-0.982) but not for the PB subgroup. Stratifying by geographic area (America, Asia and Europe), significant inverse association was only found in Asia subgroup (CT vs. CC: OR= 0.674, 95% CI = 0.522-0.870). In summary, the findings suggest that SHMT1 C1420T polymorphism is not associated with overall cancer development, but might decrease cancer susceptibility of Asians as well as reduce leukemia risk. Large well-designed epidemiological studies will be necessary to validate the risk identified in the current meta-analysis.

• 국제학술발표논문집
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• The 5th International Conference on Construction Engineering and Project Management
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• pp.397-402
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• 2013

In super-tall building construction projects, schedule risk factors which vertically change and are not found in the low and middle-rise building construction influence duration of a project by vertical attribute; and it makes hard to estimate activity or overall duration of a construction project. However, the existing duration estimating methods, that are based on quantity and productivity assuming activities of the same work item have the same risk and duration regardless of operation space, are not able to consider the schedule risk factors which change by the altitude of operation space. Therefore, in order to advance accuracy of duration estimation of super-tall building projects, the degree of changes of these risk factors according to altitude should be analyzed and incorporated into a duration estimating method. This research proposes a simulation model using Monte Carlo method for estimating activity duration incorporating schedule risk factors by weather conditions in a super-tall building. The research process is as follows. Firstly, the schedule risk factors in super-tall building are identified through literature and expert reviews, and occurrence of non-working days at high altitude by weather condition is identified as one of the critical schedule risk factors. Secondly, a calculating method of the vertical distributions of the weather factors such as temperature and wind speed is analyzed through literature reviews. Then, a probability distribution of the weather factors is developed using the weather database of the past decade. Thirdly, a simulation model and algorithms for estimating non-working days and duration of each activity is developed using Monte-Carlo method. Finally, sensitivity analysis and a case study are carried out for the validation of the proposed model.