• 해양환경안전학회지
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• 제23권3호
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• pp.217-223
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• 2017

In order to assess risk as a basic step for securing safety, it requires to select risk factors and determine the frequency and the severity of the consequence of each risk factor. This research adopted common risk factors among well-known maritime risk assessment models, and proposed objective criteria to gauge the risk level of each risk factor. The starting points of risk evolution were chosen for criteria according to related studies and seafarers' experience. The rate of risk appearance over the criteria is named as the incidence of risk factor. Therefore, the total risk level is expressed as the combination of incidence of each risk factor and severity. This quantitative method would be applied to measuring and comparing the risk level of target maritime zones, and it would also be useful to survey which risk factor be focused for reducing the total risk of a certain maritime zone.

• 혜화의학회지
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• 제22권1호
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• pp.201-216
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• 2013

The purpose of this case-control study was to show the relationship between risk factor(Sex, Age, Martial Status, Educational Periods, Family history, Variables of Obesity, Smoking Status, Drinking Status, Past History, Blood Test) and the incidence of stroke. Methods: 788 stroke patients were enrolled as the case group and 450 non-stroke patients as control group from Sep.2006 to Dec.2010. Patients were hospitalized within 30 days after the onset of stroke. Risk factors and warning signs were obtained from personal interview by oriental medicine doctors who used CRF. Results: 1. Age was found to have significant relation with stroke(p<.0001). 2. Martial status(p<.0001, OR=0.44) and educational periods(p<.0001) were both significant risk factor for stroke. 3. As a result of reviewing the influence of family history, it was found to have no significant relation with stroke. Stroke was found to have significant relation with stroke(OR=1.50). 4. Female waist circumference(WC, p<.0001) and female waist-hip circumference ratio(WHR, p<.0001) were risk factors for stroke. On the other hand, male WC and male WHR showed no significant influence on stroke occurrence as an independent risk factor. 5. Both smoking status(p<.0001, current smoker OR=8.95) and drinking status(p<.0001, current drinker OR=2.50, former drinker OR=2.82) were significant risk factors for stroke. 6. As a result of reviewing the influence of past history, transient ischemic attack(p<.0001, OR=8.46), hypertension(p<.0001, OR=4.72), hyperlipidemia(0.0064), diabetes mellitus(p<.0001, OR=3.34), stroke(p<.0001, OR=50.26) were significant risk factors. On the other hand, ischemic heart disease(p=0.2332) was found to have no significant relation with stroke. 7. Increase of WBC, RBC, Platelet, TG, FBS and Cl- level were significant risk factor of stroke, On the other hand, decrease of Hgb, Hct, AST, HDL-chol, LDH, Na+ and K+ level were significant risk factor of stroke. T-chol and ALT level showed no significant influence on stroke occurrence.

• 한국의류학회지
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• 제15권4호
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• pp.405-416
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• 1991

This paper examined the risks perceived by consumers in apparel buying situation by 1) measuring the contents and perception level of risk, 2) categorizing each risk into meaningful factors (risk types), 3) analyzing the relationships between risk types and consumers' demo-graphic variables. 224 respondents deliberately selected to include each level of S demographic variables were contacted with 37-item question3.ire. Factor analysis showed that 32-item perceived risk could be categorized into 6 risk types: psychological. social, economic, time/convenience loss, fashionability loss, performance risk. Psychological risk were perceived highest in terms of perception level while social and performance risk showed relatively low perception level. 4 of 5 demographic variables including sex, education level, income, occupa-tion showed partial relationship with each risk type after ANOVA and Duncan test. Sex had the greatest influence on risk perception level and each age level (20's, 30's, 40's) showed different risk structure.

• Journal of Gastric Cancer
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• 제16권1호
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• pp.43-50
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• 2016

Purpose: It is well known that old age is a risk factor for postoperative complications. Therefore, this study aimed to explore the risk factors for poor postoperative surgical outcomes in elderly gastric cancer patients. Materials and Methods: Between January 2006 and December 2015, 247 elderly gastric cancer patients who underwent curative gastrectomy were reviewed. In this study, an elderly patient was defined as a patient aged ${\geq}65$ years. All possible variables were used to explore the risk factors for poor early surgical outcomes in elderly gastric cancer patients. Results: Based on multivariate analyses of preoperative risk factors, preoperative low serum albumin level (<3.5 g/dl) and male sex showed statistical significance in predicting severe postoperative complications. Additionally, in an analysis of surgery-related risk factors, total gastrectomy was a risk factor for severe postoperative complications. Conclusions: Our study findings suggest that low serum albumin level, male sex, and total gastrectomy could be risk factors of severe postoperative complications in elderly gastric cancer patients. Therefore, surgeons should work carefully in cases of elderly gastric cancer patients with low preoperative serum albumin level and male sex. We believe that efforts should be made to avoid total gastrectomy in elderly gastric cancer patients.

• 한국산학기술학회논문지
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• 제13권7호
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• pp.3244-3251
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• 2012

대형 해양구조물의 건설과 운영에서 중요한 항목 중의 하나가 재해위험도를 분석하고 평가하는 것이다. 이에 본 연구에서는 수중터널의 건설과 운영 시에 발생할 수 있는 재해 위험요소를 도출하고 퍼지 AHP(Analytic Hierarchy Process) 방법으로 이러한 위험요소의 수준을 파악하고자 하였다. 재해 위험도로는 자연재해 위험도와 인적재해 위험도로 구분하고 이러한 위험도 항목들이 수중터널에 미치는 영향을 전문가 설문을 통하여 조사하였다. 조사된 전문가 설문결과 데이터를 퍼지 AHP 기법으로 분석하여 재해위험도를 각 위험요소별로 정량화하였다. 또한, 수중 터널과 교량, 해저터널, 침매터널의 재해위험도 수준을 분석하여 수중터널이 가지고 있는 고유의 재해위험도 수준을 평가하였다. 재해위험도에서는 쯔나미와 지진이 가장 위험도 인식수준이 높았고, 인적재해 위험도는 화재와 폭발의 위험도 인식이 높은 수준이었다. 또한, 수중터널은 침매터널에 비해서는 1.4배, 교량에 비해서는 3.2배 위험도 인식수준이 높은 것으로 조사되었다.

• 지역사회간호학회지
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• 제14권2호
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• pp.253-262
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• 2003

Purpose: This study was carried out to identify factors influencing osteoporosis in women at pre- and post-menopausal state. Methods: The subjects of this study were 52 pre-menopausal and 125 post-menopausal women who were assessed of bone density in one general hospital. The data were collected through review of clinical records and telephone interviews using a questionnaire. Results: In the pre-menopausal women, the factors influencing osteoporosis were regular exercise (protective factor) and age (risk factor). Regression analysis showed that the factors attributable to osteoporosis included educational level, weight, age and number of pregnancy, accounted for 41.89% of the total variance. In the post-menopausal women. the factors influencing osteoporosis were age (risk factor), low educational level (risk factor), low economical state (risk factor), high parity (risk factor), and intake of coffee (protective factor). Regression analysis also showed that factors attributable to their osteoporosis included age, educational level, number of delivery, intake of the coffee, regular exercise, number of pregnancy and duration of oral pill intake, accounted for 37.41 % of the total variance. Conclusion: In pre-menopausal women, regular exercise was one of the most powerful determinant of their bone mass. Therefore, it is necessary to participate in a regular exercise program to maintain peak bone mass density prior to the onset of menopause. In post-menopausal women, increased age was the most influencing factor of their bone mass. Therefore, it is essential to establish early diagnosis and management of osteoporosis after menopause.

• 대한건축학회논문집:구조계
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• 제34권5호
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• pp.35-42
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• 2018

In order to seek out methods to reduce safety accidents caused by construction machinery and equipment, this study collects data about safety accidents and draws main risk factors by construction from the data, through SNA. It aimed to suggest safety management points to be used in future construction fields, by analyzing risk index of such factors. The finding can be summarized: First, Backhoe Bucket is the risk factor for crash accidents of average workers in earth works; boring machines-maintenance is the risk factor for fall accidents of construction machinery operators in foundation works; bending machine-reinforcing rod processing is the risk factor for jamming accidents of reinforcing rod engineers in frame works; and mobile crane-hook is the risk factor for crash accidents of average workers in lifting works. Second, works can be arranged in turn, according to the risk index: earth, lifting, frame and foundation works. Risk factors can be also arranged according to the risk index: Backhoe in earth works, pile drivers in foundation works, bending machines in frame works and mobile cranes in lifting works. This study has some limits, in that it only analyzed main machinery/equipment, among various kinds of them, for earth, foundation, frame and temporary works (lifting works) and used data collected over three years. Therefore, it is necessary to conduct an analysis using big data, by collecting additional data about a lot of machinery/equipment in future construction fields.

• 한국안전학회지
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• 제30권6호
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• pp.139-147
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• 2015

This study deals with actual commuting distance and influence of risk factors depending on commuting distance and mode in order to reestablish actual commuting zone of primary school students. Data mining analysis(CHAID) was applied for this reestablishment using survey results from 6,927 primary school students in Seoul Metro. Six risk factors; convenience level of commuting path condition, convenience level of road crossing condition, vehicle speed on commuting path, segregation level between commuter and vehicle, congestion level of commuting path, and public security level and two mode; walking and cycle are considered in the analysis. As the results of CHAID analysis, commuting distance was divided into four zones; Internal Zone(0.491km under), External Zone(0.492 ~ 1.492km, 1.493 ~ 2.699km), Commutable Zone(2.70km over), and awareness level on safety is declined as commuting distance is increased. The risk factor affecting on safety is recognized differently by students depending on commuting distance and mode. For students commuting by walking, vehicle speed on commuting path and convenience level of commuting path condition are recognized as the prime risk factor within Internal Zone and Commutable Zone, respectively. For students commuting by cycle, convenience level of road crossing condition and vehicle speed on commuting path are recognized as the prime risk factor within Commutable Zone. Analysis results show that improved plan and program for commuting path for primary school students are required considering actual commuting distance and method.

• 산업융합연구
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• 제2권2호
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• pp.127-147
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• 2004

This paper examines the time-series relations among expected return, risk, and book-to-market(B/M) at the portfolio level. The time-series analysis is a natural alternative to cross-sectional regressions. An alternative feature of the time-series regressions is that they focus on changes in expected returns, not on average returns. Using the time-series analysis, we can directly test whether the three-factor model explains time-varying expected returns better than the characteristic-based model. These results should help distinguish between the risk and mispricing stories. We find that B/M is strongly associated with changes in risk, as measured by the Fama and French(1993) three-factor model. After controlling for changes in risk, B/M contains little additional information about expected returns. The evidence suggests that the three-factor model explains time-varying expected returns better than the characteristic-based model.

• 산업경영시스템학회지
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• 제32권2호
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• pp.158-170
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• 2009

This paper considers how the optimal export level is influenced by export risk, the degree of risk-averseness for exporting firms, and those firms' cost structure. In addition, export insurance is incorporated into some simple theoretical model to analyze the optimal export level. This paper applies genetic algorithm simulation to show that the exporting firms'risk-averseness do not affect the optimal export decision while export risk and cost function characteristic have relatively more significant effects on the optimal export level. Finally, our findings suggest that the most influential factor for the optimal export levels seems to be the monopoly power of exporting firms.