• Journal of Korean Academy of Nursing
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• v.47 no.6
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• pp.817-827
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• 2017

Purpose: This study aimed to identify latent classes based on major modifiable risk factors for coronary artery disease. Methods: This was a secondary analysis using data from the electronic medical records of 2,022 patients, who were newly diagnosed with coronary artery disease at a university medical center, from January 2010 to December 2015. Data were analyzed using SPSS version 20.0 for descriptive analysis and Mplus version 7.4 for latent class analysis. Results: Four latent classes of risk factors for coronary artery disease were identified in the final model: 'smoking-drinking', 'high-risk for dyslipidemia', 'high-risk for metabolic syndrome', and 'high-risk for diabetes and malnutrition'. The likelihood of these latent classes varied significantly based on socio-demographic characteristics, including age, gender, educational level, and occupation. Conclusion: The results showed significant heterogeneity in the pattern of risk factors for coronary artery disease. These findings provide helpful data to develop intervention strategies for the effective prevention of coronary artery disease. Specific characteristics depending on the subpopulation should be considered during the development of interventions.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.7
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• pp.3071-3074
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• 2014

Background: To investigate the related risk factors of postoperative nosocomial pneumonia (POP) in patients withI-IIIa lung cancer. Methods: Medical records of 511 patients who underwent resection for lung cancer between January 2012 to December 2012 were retrospectively reviewed. Risk factors of postoperative pneumonia were identified and evaluated by univariate and multivariate analyses. Results: The incidence of postoperative pneumonia in these lung cancer patients was 2.9% (15 cases). Compared with 496 patients who had no pneumonia infection after operation, older age (>60), histopathological type of squamous cell carcinoma and longer surgery time (>3h) were significant risk factors by univariate analysis. Other potential risk factors such as alcohol consumption, history of smoking, hypersensitivity, hypertension, diabetes mellitus and so on were not showed such significance in this study. Further, the multivariate analysis revealed that old age (>60 years) (OR 5.813, p=0.018) and histopathological type of squamous cell carcinoma (OR 5.831, p<0.001) were also statistically significant independent risk factors for postoperative pneumonia. Conclusions: This study demonstrated that being old aged (>60 years) and having squamous cell carcinoma histopathological type might be important factors in determining the risk of postoperative pneumonia in lung cancer patients after surgery.

• Journal of Korean Academy of Nursing Administration
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• v.12 no.3
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• pp.373-384
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• 2006

Purpose: This is a pilot study to identify patient safety risk factors and strategies for patient safety management perceived by nurses. Methods: Data were collected and analyzed with an open questionnaire from April to May 2005, targeted on 100 nurses working in two hospitals. The issues were 'what are risk factors for patients, nurses, and other medical practitioners? How do they prevent with the aftermath of risk factors, causes of incidents?' For data analysis, types and frequency of risk factors were worked out, using the Australian Incident Monitoring System Taxonomy. Results: The types of patient safety risk factor perceived by nurses were as follows ; therapeutic devices or equipment, infrastructure and services (29.5%), nosocomial infections (16.3%), clinical processes or procedures (15.4%), behavior, human performance, violence, aggression, security and safety (12.2%), therapeutic agents (9.7%), injuries and pressure ulcers (8.7%), logistics, organization, documentation, and infrastructure technology (5.6%). Strategies for patient safety included training of prevention of infection, education about safety management for patients and medical professionals, establishment of reporting system, culture of care, pre-elimination of risk factors, cooperative system among employees, and sharing information. Conclusion: These results will be used to provide evidences for patient safety management and educational program.

• Journal of Korean Critical Care Nursing
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• v.12 no.1
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• pp.57-70
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• 2019

Purpose : The purpose of this study was to identify the risk factors for falls in tertiary hospital inpatients and to suggest data for developing a nursing intervention program for preventing falls. Methods: Data were collected between January 1, 2017, to December 31, 2017. Kaplan-Meier estimation was used to measure the survival rate, and the log-rank test was used for the differences between the fall group and the non-fall group. The Cox proportional hazards model was used to identify the risk factors for falls. Results: The incidence rate of falls for the inpatients was 1.2 cases per 1,000 days of hospitalization. The risk factors for falls were more likely to be found among those who were aged ${\geq}81$, had not undergone surgery, had poor joint motion, had unsteady gait, needed help or supervision, used assistive devices, had comorbidity, and took at least two drugs. Conclusion: For the inpatients, the risk factors for falls included age, surgery, comorbidity, medication that could change mobility, joint motion, and use of patient care equipment. It is necessary to give special attention to inpatients who have any of these risk factors and to develop a falls risk assessment tool.

• 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.

• The Research Journal of the Costume Culture
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• v.18 no.1
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• pp.118-132
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• 2010

The purpose of this study is to understand factors of risk perception and purchase obstruction by consumer characteristics and purchase experience of clothing in online. The collection of the research materials was progressed by online and offline. Out of 374 usable questionnaires used for examining this study, 278 questionnaires were collected from offline and 107 questionnaires were collected from online. Frequency analysis, factor analysis, reliability analysis, t-test, One-way ANOVA and multiple regression analysis using SPSS WIN 12.0 were conducted. Three factors of perceived risk were extracted: harmonic/image, quality/shopping process, payments. Based on these dimensions, ANOVA was conducted. The results indicated that the more purchasing experience people had, the less the extent of perceived risk they got, and quality/shopping process risk mostly among them. As the factors which obstruct purchasing decision, a security obstruction, a reliability obstruction, a convenient obstruction and an information insufficient obstruction are extracted. Also, the factors have got the result of same aspects as the perceived risk recognized by the Internet shopping experience. Meaningful differences between groups appear at security obstruction, reliability obstruction, and convenient obstruction. Perceived risk almost influenced on purchase obstruction when purchasing clothes in Internet shopping mall. When consumers perceiving harmony/image risk highly make decisions, they usually hesitate or abandon due to reliability obstruction, convenient obstruction. All the factors: including security obstruction, reliability obstruction, convenient obstruction and information insufficient obstruction made consumers perceiving quality/shopping process risk highly obstruct purchase decision.

• Journal of the Ergonomics Society of Korea
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• v.32 no.1
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• pp.153-158
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• 2013

Objective: This study aims to suggest different approaches in analyzing risks associated with musculoskeletal disorders (MSDS) for risk assessment. Background: Upon concluding that the changes in the industrial environments have made it hard to regulate diverse risk factors, the government has implemented a policy for risk assessment. Method: This study has proposed a method, creating programs using Excel that perform qualitative or quantitative analysis, for evaluating risk factors in risk assessments and has applied this in manufacture and service industries. Results: To verify the validity of the developed program, risk assessment has been performed on restaurant chefs as an example. For quantitative evaluation, the study has suggested approaches using the results for REBA evaluation and the analysis report on the work scenes of a fitting-shop in a shipbuilding industry. Application: Constructing and adapting a system using Excel in evaluating risk factors for risk assessments as this study suggests, is expected to contribute to revitalizing risk assessments.

• Journal of Environmental Health Sciences
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• v.41 no.6
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• pp.425-437
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• 2015

Objectives: Risk assessment is a tool for predicting and reducing uncertainty related to the effects of future activities. Probability approaches are the main elements in risk assessment, but confusion about the interpretation and use of assessment factors often undermines the message of the analyses. The aim of this study is to provide a guideline for systematic reduction plans regarding uncertainty in risk assessment. Methods: Articles and reports were collected online using the key words "uncertainty analysis" on risk assessment. Uncertainty analysis was conducted based on reports focusing on procedures for analysis methods by the World Health Organization (WHO) and U.S. Environmental Protection Agency (USEPA). In addition, case studies were performed in order to verify suggested methods qualitatively and quantitatively with exposure data, including measured data on toluene and styrene in residential spaces and multi-use facilities. Results: Based on an analysis of the data on uncertainty, three major factors including scenario, model, and parameters were identified as the main sources of uncertainty, and tiered approaches were determined. In the case study, the risk of toluene and styrene was evaluated and the most influential factors were also determined. Five reduction plans were presented: providing standard guidelines, using reliable exposure factors, possessing quality controls for analysis and scientific expertise, and introducing a peer review system. Conclusion: In this study, we established a method for reducing uncertainty by taking into account the major factors. Also, we showed a method for uncertainty analysis with tiered approaches. However, uncertainties are difficult to define because they are generated by many factors. Therefore, further studies are needed for the development of technical guidelines based on the representative scenario, model, and parameters developed in this study.

• Journal of the Korean Society of Safety
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• v.36 no.3
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• pp.50-59
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• 2021

The main purpose of accident analysis is to identify the causal factors and the mechanisms of those factors leading to the accident. However, current accident analysis techniques focus only on finding the factors related to the accident without providing more insightful results, such as structures or mechanisms. For this reason, preventive actions for safety management are concentrated on the elimination of causal factors rather than blocking the connection or chain of accident processes. This greatly reduces the effectiveness of safety management in practice. In the present study, a technique to model the correlational structure of accident risk factors is proposed by using the co-occurrence keyword network analysis technique. To investigate the effectiveness of the proposed technique, a case study involving a portable ladder fall accident is conducted. The results indicate that the proposed technique can construct the correlational structure model of the risk factors of a portable ladder fall accident. This proves the effectiveness of the proposed technique in modeling the correlational structure of accident risk factors.

• Journal of Korean Academy of Nursing
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• v.40 no.4
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• pp.589-598
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• 2010

Purpose: The purpose of this study was to investigate the factors that increase of the risk for falls in low-income elders in urban areas. Methods: The participants were elderly people registered in one of public health centers in one city. Data were collected by interviewing the elders, assessing their environmental risk factors, and surveying relevant secondary data from the public health center records. For data analysis, descriptive statistics and multiple logistic regression were performed using SPSS version 14. Results: Stroke, diabetes, visual deficits, frequency of dizziness, use of assistive devices and moderate depression were statistically significant risk factors. The comorbidity of chronic diseases with other factors including depression, visual deficit, dizziness, and use of assistive devices significantly increased the risk of falls. From multiple logistic regression analysis, statistically significant predictors of falls were found to be stroke, total environmental risk scores, comorbiditiy of diabetes with visual deficits, and with depression. Conclusion: Fall prevention interventions should be multifactorial, especially for the elders with stroke or diabetes, who were identified in this study as the high risk group for falls. A fall risk assessment tool for low-income elders should include both the intrinsic factors like depression, dizziness, and use of assistive devices, and the extrinsic factors.