• Journal of the Korean Society of Safety
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• v.28 no.3
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• pp.95-99
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• 2013

The goal of this study was to investigate some significant factors to influence level of safety at plant construction field and analyze degree of risk by work classification. Currently, there are lots of construction fields for the nuclear power plant for electricity generation, and our government also planned constructing more nuclear power plant in near future. However, much of the safety literature neglected the degree of risk factors on the plant construction field. Safety managers participated in the brainstorming session for drawing decision criteria of the degree of risk (i.e., significant factors). Then, they were asked to answer a structured questionnaire which was developed for drawing most important factors. Finally, the analytic hierarchy process (AHP) was used to analyze level of risk by work classification. The following results were obtained. First, total twelve factors judging degree of risk were found in the brainstorming session. Second, the questionnaire showed four significant factors, including number of workers, working environments, skill of craft and accident experience. Third, the results of AHP showed Architecture work is the most dangerous work among 6 work types. The results could be used to reduce degree of risk in construction field of the nuclear power plant.

• Journal of the Korean Society of Physical Medicine
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• v.18 no.3
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• pp.11-19
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• 2023

PURPOSE: This study evaluated the incidence of sarcopenic obesity (SO) and examined the specific risk factors in a community-dwelling middle-aged population of women. METHODS: The present study involved analyzing data from a cross-sectional study that included 1,693 community-dwelling women aged between 40 and 49 years. Various risk factors were investigated, including age, height, weight, body mass index, waist circumference, skeletal muscle mass index, smoking and drinking behaviors, systolic and diastolic blood pressure, fasting glucose levels, as well as triglyceride and cholesterol levels. To ensure the accuracy and validity of the results, a complex sampling technique was employed for data analysis. Each sample weight was calculated through a three-step process by estimating base weight, adjusting it for non-response, and modulating it for post-stratification. RESULTS: The incidence of SO was 4.26% (95% CI: 3.20-5.67%). The clinical risk factors for SO were age, height, weight, body mass index, waist circumference, skeletal muscle mass index, systolic blood pressure, diastolic blood pressure, and levels of fasting glucose, triglycerides, and total cholesterol (p < .05). CONCLUSION: This study explores the prevalence and risk factors of SO among community-dwelling women. It adds to the existing literature on SO and identifies potential risk factors in middle-aged women.

• Journal of Korea Port Economic Association
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• v.36 no.3
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• pp.55-74
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• 2020

With globalization and the development of information and communication technology, the supply chain is becoming more widespread and complex, which increases the occurrence and damage caused by supply chain risks. Supply chain risk management has a great impact on corporate performance through the analysis of risk factors and proactive and strategic approaches. This study aims to analyze the effects of supply chain risk factors on risk management strategies and corporate performance empirically. In the research model for empirical analysis, supply chain risk factors were classified into supply, demand, operation, network, and external environment, while the risk management strategies were divided into active and passive strategies, as well as financial and operational performance for corporate performance. The data obtained via the questionnaire were analyzed for the path of the structural equation model. As a result of the analysis, companies are actively pursuing risk management for internal risk factors, rather than external factors, in terms of internal and external risk factors, and it was found that these strategies have a significant effect on corporate performance. Therefore, in the future, companies should conduct risk management strategies more proactively and preemptively through a thorough analysis of various risk factors affecting business operations.

• Journal of Physiology & Pathology in Korean Medicine
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• v.25 no.3
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• pp.573-581
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• 2011

This study was done to examine the risk factors between controls group and acute brain infarction patients group, and to compare high risk group with low risk group through NIHSS(National Institutes of Health stroke scale). We compared the risk factors between acute brain infarction patients group(N=180) and controls group(N=93). And according to risk factors, we analyzed 1st NIHss, after 3 weeks improved extent within acute brain infarction patients group. The results were as follows. 1. Among the risk factors, HTN, DM, the blood levels of HCY were significantly higher and the blood levels of HDL-C was significantly lower in patients group than controls group. 2. In scale analysis according to risk factors, 1st NIHss were significantly higher in Hypo-HDL-cholesterolemia, Obesity, High-Homocysteine, HTN, DM, previous CVA history group than low risk group within acute brain infarction patients group. 3. In after 3 weeks improved extent analysis according to risk factors, improved extent were lower in Hyperlipidemia, HTN, DM, previous cardiac history, older age group than low risk group within acute brain infarction patients group. The above results suggest that significant risk factors of acute brain infarction, and shows the High risk group that had risk factor of brain infarction recognized from the former research tends to have higher 1st NIHss. Also the High risk group tends to have lower improved extent, but the results are not statistically significant. Furthur research on subject is needed.

• Korean Journal of Child Studies
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• v.23 no.1
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• pp.1-16
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• 2002

This study explored resilience and protective factors in children at-risk. Teachers of 755 children in child care centers replied to questionnaires regarding resiliency and behavior problems; children's mothers replied to questionnaires about risk factors, own parenting, and family hardiness. The data of 216 vulnerable children and 355 children in a comparative group who had not been exposed to any risk factors were analyzed. Findings showed that resilience was differentiated by gender and age; that is, resilience in the vulnerable group covaried as a function of gender and age. The resilience level of the vulnerable group was lower than the comparative group. Children with fewer behavior problems had a higher level of resilience, and resilience was higher for vulnerable children with higher levels of protective factors.

• Journal of Preventive Medicine and Public Health
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• v.38 no.3
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• pp.366-372
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• 2005

Objectives : This study was conducted to assess the distribution of cardiovascular risk factors (serum lipid profiles, BMI, blood pressure, fasting blood sugar) and evaluate the risk profile of CVD by the clustering of the cardiovascular risk factors in school-aged children in the Kyoung-Gi area. Methods : The study sample consists of 208 11 year-old children (51.4% boys, 48.6% girls) who participated in a cross-sectional screening of cardiovascular risk factors. We surveyed their socio-demographic characteristics, measured the anthropometric variables and analyzed the biochemical markers. Results : Of the cardiovascular risk factors, the percentage risk of the BMI, dyslipidememia and hypertension were highest. The prevalence rates of total cholesterol and LDL-cholesterol in girls was higher than in boys. Also, the associations of the BMI, total cholesterol, LDL-cholesterol, HDL-cholesterol, triglycerides, systolic and diastolic blood pressures were highly significant. In addition, the proportion of subjects with 1, 2, 3 and 4 or more risk factors were 29.3, 12.5, 2.9 and 1.9%, respectively; therefore, a total of 97 subjects (46.6%) had at least one more risk factor. Conclusions : From these findings, we concluded that the rates of hypercholesterolemia, cardiovascular risk groups and obesity prevalence of these groups were relatively high. These data provide further evidence that the early intervention for cardiovascular health prevention and promotion in school-aged children is necessary at the population level.

• Geomechanics and Engineering
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• v.9 no.1
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• pp.57-81
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• 2015

Water inrush and mud outburst always restricts the tunnel constructions in mountain area, which becomes a major geological barrier against the development of underground engineering. In view of the complex disaster-causing mechanism and difficult quantitative predictions of water inrush and mud outburst, several theoretical methods are adopted to realize dynamic assessment of water inrush in the progressive process of tunnel construction. Concerning both the geological condition and construction situation, eleven risk factors are quantitatively described and an assessment system is developed to evaluate the water inrush risk. In the static assessment, the weights of eight risk factors about the geological condition are determined using Analytic Hierarchy Process (AHP). Each factor is scored by experts and the synthesis scores are weighted. The risk level is ultimately determined based on the scoring outcome which is derived from the sum of products of weights and comprehensive scores. In the secondary assessment, the eight risk factors in static assessment and three factors about construction situation are quantitatively analyzed using fuzzy evaluation method. Subordinate levels and weight of factors are prepared and then used to calculate the comprehensive subordinate degree and risk level. In the dynamic assessment, the classical field of the eleven risk factors is normalized by using the extension evaluation method. From the input of the matter-element, weights of risk factors are determined and correlation analysis is carried out to determine the risk level. This system has been applied to the dynamic assessment of water inrush during construction of the Yuanliangshan tunnel of Yuhuai Railway. The assessment results are consistent with the actual excavation, which verifies the rationality and feasibility of the software. The developed system is believed capable to be back-up and applied for risk assessment of water inrush in the underground engineering construction.

• Korean Journal of Construction Engineering and Management
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• v.6 no.4 s.26
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• pp.71-79
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• 2005

As construction projects have been extremely enormous, complex and special, risk factors have been increased consistently. Therefore, it is very important to identify and cope with the uncertain risk factors in such building constructions for successful project accomplishment. The purpose of this research is to approach practical affairs directly and show detail alternatives of risk factors by extracting the risk factors throughout construction process of curtain wall that is largely influenced on cost, quality, schedule ,safety and following activity. Also, extracting these risk factors make it possible to analyze quantitative risk and decide the priority raking of risk factors. Especially, this research is aimed to provide efficient management of scheduling risk that can make the risk minimize to practical workers who have different degree of knowledge and experience to the construction cite when the risk brings out suddenly.

• Journal of the Korean Home Economics Association
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• v.40 no.12
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• pp.49-61
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• 2002

The purpose of this study was to investigate the effect of clothing involvement on the perceived risk in internet shopping and store selection criteria. The subjects used for the study were 210 male and 338 female college students. The clothing involvement consisted of pleasure, symbolism, and selection difficulty factors. The perceived risk consisted of size/defect risk, social psychological risk, privacy risk, delivery risk, and price risk. The store selection criteria had security/service, entertainment/variety, price/convenience factors. The results showed that consumers were segmented by four groups based on clothing involvement factors: clothing pleasure group, symbolism group, confidence group, and low clothing involvement group. The four segmented groups differed in regard to the perceived risk, store selection criteria, and demographics. For example, clothing pleasure group perceived the size/defect risk and social psychological risk higher than did the other groups. Also, the clothing pleasure group considered entertainment/variety more important and had younger female consumers.

• Architectural research
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• v.21 no.2
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• pp.49-57
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• 2019

Risk assessment during pre-construction phase is important due to the uncertainty of the risks that may exist in projects. Risk checklist is a method to systematically classify and organize the risks that have been experienced in the past, and to identify the risk factors that may be present in the future projects. In addition, risk value assessment based on checklists plays a key role in risk management, and various risk assessment researches have been conducted to carry out this systematically. However, previous approaches have limitations in common, this is because risk values are evaluated individually in risk checklists, which ignore interdependencies among risk factors and neglect the emergence of co-occurrence of risks. Hence, when multiple risk factors cooccur, they cannot be far off from the conventional method of summing the total risk value to establish the risk response strategy. Most of risk factors are interdependent and may have multiple effects if occurred than expected. In particular, specific cause can be overlapped if multiple risks co-occur, and this may result in overestimation of the risk response for the future project. Thus, the objective of this research is to propose a model to help decision makers to quantify the risk value reflecting the interdependency during the identification phase using existing risk checklist that is currently being practiced in actual construction projects. The proposed model will provide the guideline to support the prediction and identification of the interdependency of risks in practice. In addition, the better understanding and prediction of the exceeding risk response by co-occurring risks during the risk identification phase for decision makers.