• Asian Pacific Journal of Cancer Prevention
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• 제13권6호
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• pp.2879-2886
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• 2012

In order to thoroughly analyze risk factors of breast cancer (BC) in premenopausal Uruguayan women, a case-control study was carried out at the Pereira Rossell Women's Hospital, Montevideo, where 253 incident BC cases and 497 frequency-matched healthy controls were interviewed on menstrual and reproductive story, were administered a short food frequency questionnaire and undertook a series of body measurements necessary to calculate body composition and somatotype. Odds ratio (OR) coefficients were taken as estimates of relative risk derived from unconditional logistic regression. Among the classical risk factors, only the family history of BC in first degree relatives was significantly associated with risk of premenopausal BC (OR=2.20, 95% CI 1.33-3.62). Interestingly, this risk factor was found to be stronger in women of ages >40 (OR=4.05, 95% CI 2.10-7.81), late menarche (OR= 2.39, 95% CI 1.18-4.85), early age for their first delivery (OR=3.02, 95% CI 1.26-7.22), short time between menarche and first delivery (OR=3.22, 95% CI 1.29-8.07), and with high parity (OR=4.10, 95% CI 1.79-9.36), although heterogeneity was detected only for age and parity. High consumption of red meat was positively associated with the disease risk (OR=2.20, 95% CI 1.35-3.60), in the same way as fried foods (OR=1.79, 95% CI 1.12-2.84). Conversely, a high intake of plant foods displayed a protective effect (OR=0.41, 95% CI 0.26-0.65). Except for hypertension (OR=1.55, 95% CI 1.03-2.35), none of the analyzed components of metabolic syndrome were associated to BC risk. Particular increases of risk for premenopausal BC were found for family history in first degree relatives in certain subsets derived from the menstrual-reproductive history. Preventive strategies could broaden their scope if new studies confirm the present results, in view of the limited prevention measures that premenopausal BC currently has.

• Asian-Australasian Journal of Animal Sciences
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• 제32권2호
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• pp.274-281
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• 2019

Objective: The objective of this study was to estimate the risk of Campylobacter jejuni (C. jejuni) infection from various jerky products in Korea. Methods: For the exposure assessment, the prevalence and predictive models of C. jejuni in the jerky and the temperature and time of the distribution and storage were investigated. In addition, the consumption amounts and frequencies of the products were also investigated. The data for C. jejuni for the prevalence, distribution temperature, distribution time, consumption amount, and consumption frequency were fitted with the @RISK fitting program to obtain appropriate probabilistic distributions. Subsequently, the dose-response models for Campylobacter were researched in the literature. Eventually, the distributions, predictive model, and dose-response model were used to make a simulation model with @RISK to estimate the risk of C. jejuni foodborne illness from the intake of jerky. Results: Among 275 jerky samples, there were no C. jejuni positive samples, and thus, the initial contamination level was statistically predicted with the RiskUniform distribution [RiskUniform (-2, 0.48)]. To describe the changes in the C. jejuni cell counts during distribution and storage, the developed predictive models with the Weibull model (primary model) and polynomial model (secondary model) were utilized. The appropriate probabilistic distribution was the BetaGeneral distribution, and it showed that the average jerky consumption was 51.83 g/d with a frequency of 0.61%. The developed simulation model from this data series and the dose-response model (Beta Poisson model) showed that the risk of C. jejuni foodborne illness per day per person from jerky consumption was $1.56{\times}10^{-12}$. Conclusion: This result suggests that the risk of C. jejuni in jerky could be considered low in Korea.

• Fisheries and Aquatic Sciences
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• 제24권6호
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• pp.207-218
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• 2021

This study evaluated the risk of foodborne illness from highly pathogenic Vibrio spp. (Vibrio vulnificus and V. cholerae) by raw whip-arm octopus (Octopus minor) consumption. In total 180 samples of raw whip-arm octopus were collected from markets and examined for the prevalence of V. vulnificus and V. cholerae. Predictive models describing the kinetic behavior of Vibrio spp. in raw whip-arm octopus were developed, and the data on amounts and frequency of raw whip-arm octopus consumption were collected. Using the collected data, a risk assessment simulation was conducted to estimate the probability of foodborne illness raw whip-arm octopus consumption using @RISK. Initial contamination levels of Vibrio spp. in raw whip-arm octopus were -3.9 Log colony-forming unit/g, as estimated by beta distribution fitting. The developed predictive models were appropriate to describe Vibrio spp. in raw whip-arm octopus during distribution and storage with R² values of 0.946-0.964. The consumption frequency and daily consumption amounts of raw whip-arm octopus per person were 0.47% and 57.65 g, respectively. The probability of foodborne illness from raw whip-arm octopus consumption was estimated to be 8.71 × 10^-15 for V. vulnificus and 7.08 × 10^-13 for V. cholerae. These results suggest that the risk of Vibrio spp. infection from raw whip-arm octopus consumption is low in South Korea.

• 한국의류학회지
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• 제33권11호
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• pp.1707-1718
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• 2009

This study examines the effects of perceived risks on purchase decision behavior among Internet fashion consumers. The study survey used a self-administered questionnaire and a total data of 244 responses were used for analysis. The results of this study are as follows: First, the perceived risks consist of 6 factors, quality risk, counterfeit product risk, credit dealing risk, social/psychological risk, size and appearance risk, and delivery risk. The purchase decision behavior consist of 3 factors, delay of purchase decision, website switching, and offline conversion behavior. Second, purchase time positively affected the quality risk and credit dealing risk. Purchase frequency negatively affected the quality risk and credit dealing risk. Third, the quality risk, size and appearance risk, counterfeit product risk, and credit dealing risk positively affected the delay of purchase decisions. Quality risk and counterfeit product risk positively affected website switching. In addition, quality risk, social/psychological risk, and credit dealing risk positively affected the offline conversion behavior. Fourth, credit dealing risk negatively affected a short term purchase intention and the delivery risk negatively affected a long term purchase intention. The social/psychological risk and credit dealing risk negatively affected the repurchase intention.

• 한국식품조리과학회지
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• 제26권5호
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• pp.511-520
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• 2010

The purpose of this article was to study how the 7Ps influence consumers' risk perception of eating at family restaurants in Seoul. In this study, frequency analysis, reliability analysis, factor analysis and path analysis (SEM) of the data were performed. First, reliability analysis confirmed that the 7Ps performance and risk data could be used in this investigation. Path analysis showed that the 7Ps significantly influenced customers' risk perception of eating at restaurants in Seoul. According to the results, product negatively influenced performance risk (p<0.05) and financial risk (p<0.001); price negatively influenced performance risk (p<0.001), financial risk (p<0.001), and time risk (p<0.01); place negatively influenced performance risk (p<0.01) and time risk (p<0.001); promotion negatively influenced financial risk (p<0.05) and time risk (p<0.001); process negatively influenced performance risk (p<0.001) and time risk (p<0.001); physical evidence negatively influenced performance risk (p<0.05) and financial risk (p<0.001); and people negatively influenced performance risk (p<0.05), financial risk (p<0.001), and time risk (p<0.001). As a result, we confirmed that 7Ps were an effective marketing tactic for reducing consumers' risk perception of eating at restaurants. Therefore, family restaurant companies are recommended to administer the 7Ps without additional cost.

• 대한간호학회지
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• 제9권2호
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• pp.7-15
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• 1979

This study was undertaken to determine .the identify the relation between the high risk mother and their baby which then allows the nurse to assess and plen for the delivery of optimal health care to the high risk groups. This study was carried out between January through December 1978. This study sample consisted of 300 pregnant women who visited Ewha womens hospital during this time. The method used to for the collection of data was an“Antepartum High-risk pregnancy scoring form. The questionair included 4 categories: 1) reproductives history 2) Associated conditions 3) pre-sent pregnancy and 4) total risk score . The bind are as follows: 1. The frequency of high risk pregnancy women 149(49.7%) was highest. 2. In the investigation sample high risk factors were related to hypertension and toremia. 3. There was a difference in the high risk scores and newborn babys scores (r = 0.610). 4. Relationship between high risk pregnancy women and least of pregnant women was highest prenatal mortality. Implications of positive assessing of high risk factors by MCH nurse and community health nurses.

• 한국환경과학회지
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• 제20권3호
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• pp.321-327
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• 2011

Bootstrap methods is the computer-based resampling method that estimates the standard errors and confidence intervals of summary statistics using the plug-in principle for assessing the accuracy or uncertainty of statistical estimates, and the BCa method among the Bootstrap methods is known much superior to other Bootstrap methods in respect of the standards of statistical validation. Therefore this study suggests the method of the representation and treatment of uncertainty in flood risk assessment and water resources planning from the construction and application of rainfall frequency analysis model considersing the uncertainty based on the nonparametric BCa method among the Bootstrap methods for the assessement of the estimation of probability rainfall and the effect of uncertainty considering the uncertainty of the parameter estimation of probability in the rainfall frequency analysis that is the most fundamental in flood risk assessement and water resources planning.

• 한국안전학회지
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• 제37권1호
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• pp.78-87
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• 2022

In the risk assessment of urban railway systems, a hazard log is created by identifying hazards from accident and failure data. Then, based on a risk matrix, evaluators analyze the frequency and severity of the occurrence of the hazards, conduct the risk assessment, and then establish safety measures for the risk factors prior to risk control. However, because subjective judgments based on the evaluators' experiences affect the risk assessment results, a more objective and automated risk assessment system must be established. In this study, we propose a risk assessment model in which an adaptive neuro-fuzzy inference system (ANFIS), which is combined in artificial neural networks (ANN) and fuzzy inference system (FIS), is applied to the risk assessment of urban railway systems. The newly proposed model is more objective and automated, alleviating the limitations of risk assessments that use a risk matrix. In addition, the reliability of the model was verified by comparing the risk assessment results and risk control priorities between the newly proposed ANFIS-based risk assessment model and the risk assessment using a risk matrix. Results of the comparison indicate that a high level of accuracy was demonstrated in the risk assessment results of the proposed model, and uncertainty and subjectivity were mitigated in the risk control priority.

• Nuclear Engineering and Technology
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• 제56권3호
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• pp.819-823
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• 2024

The main criteria used in NEI 18-04 to define SSCs as risk-significant include (1) the SSC is required to keep all LBEs within the F-C target, and (2) the total frequency with the SSC failed exceeds 1% of the limit for at least one of the three cumulative risk metrics used for evaluating the integrated plant risk. The first one is a reasonable criterion in determining the risk significant SSCs. However, the second criterion may not be adequate to serve the purpose of determining the risk significance of SSCs. In the second criterion, the cumulative risk metric values representing the integrated plant risk (less the preventive and mitigative effects of the SSC being evaluated) are compared to a risk limit that represents a very small contribution to the overall integrated plant risk, which corresponds appropriately to the contributions from individual SSCs. The easiest approach to redefine the NEI 18-04 definition of risk-significant SSCs in relation to the integrated plant risk metrics is to compare the difference, between the risk metric value calculated with the SSC failed and the risk metric value calculated with the SSC credited, with 1% of the risk limit established for the integrated plant risk metrics.

• 한국산학기술학회논문지
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• 제22권4호
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• pp.90-98
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• 2021

2017년부터 학교 급식업무에 대한 산업안전보건법이 전면 적용되고 그에 따라 2019년부터 위험성평가가 시행되었으나 타 업종에 비해 도입이 늦고 비전문가인 영양(교)사에 의해 평가되고 있어 제도 정착의 한계가 있었다. 서울시교육청 산하 모든 학교에서는 고용노동부의 학교 급식업무의 산업안전보건법 및 고용노동부 고시에 따라 매년 안전보건공단에서 제공하는 위험성평가 지원 시스템의 KRAS 기법을 적용하고 있다. 이렇듯 법적 규제에 따라 위험성평가를 적용하고 있으나 위험의 빈도와 강도 기준이 정성적이고 주관적이어서 평가자에 따라 다른 결과를 도출하여 위험성평가의 실효성이 의문시되었으나 지금까지 학교 급식업무에 대한 위험성평가와 관련된 연구는 없었다. 본 연구에서는 급식종사자의 재해통계를 바탕으로 위험의 빈도와 강도 기준을 정량적이고 객관적으로 제시하고 급식업무 중 일부 작업에 대해 새로운 산정기준을 적용하여 위험성평가를 실시하고 기존 위험성평가 결과와 비교하였다. 그 결과 위험도가 높아지고 그에 따른 개선방안이 구체적으로 제시되어 실효성 제고가 확인되었으므로 급식업무 전체에 대해 시범평가를 확대하고 타당성을 확인하여 모든 학교에 확대 적용함으로써 위험성평가의 실효성과 작동성 제고에 기여하기를 기대한다.