• Journal of Korean Academy of Nursing
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• v.35 no.2
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• pp.399-406
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• 2005

Purpose: The purpose of this study was to investigate the factors that affect the psychological well-being in family caregivers of stroke patients. Method: The General Health Perception, short form 36, Health Survey Questionaire was used to measure health perception. The Caregiving Mastery Scale was used to assess the mastery, while the Psychological General Well-Being Index was used to examine the level of well-being. Result: Subjective health, caregiving mastery, patient's ADL and caregiving duration influenced on caregiver's psychological well-being. Subjective health had effect on psychological well-being both directly and indirectly. Caregiving duration and patient's ADL had indirect effect on psychological well-being through caregiving mastery. Conclusion: It is need to develop a health program for the caregivers of stroke patient's and to provide nursing intervention to improve the caregiver's ability, thereby improving the well-being of the family caregivers.

• Journal of the Regional Association of Architectural Institute of Korea
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• v.20 no.6
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• pp.25-32
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• 2018

According to the data released by Korea Occupational Safety & Health Agency, construction workers suffering from falling disaster have been increasing continuously for the last five years, and in fact, small and medium construction companies' falling disaster forms over 97% of all every year. This means that to reduce falling disaster significantly, it is needed to get rid of disaster taking place in small and medium construction companies. Here, this study aims to analyze various causes of falling disaster in small and medium construction companies, examine how those factors are correlated with one another, and suggest how to manage the risk of falling disaster effectively. According to the study results, main factors influencing falling disaster in small and medium construction companies are found as follows: Situational Awareness/Risk Perception, Fatigue/Alertness, Communications, Equipment/Facilities, and Personal Protective Equipment (PPE) in the Direct Level, Management/Supervision, Education/Training, and Planning in the Organizational Level, and Management's Commitment to Safety in the Policy Level.

• Journal of the Korean Society of Industry Convergence
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• v.27 no.4_2
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• pp.953-960
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• 2024

The purpose of this study was to examine the factors affecting adults' confidence in performing CPR. As for the research method, a survey was conducted from August to October 2022, and 146152 subjects were. The collected data were analyzed by the SPSS 24.0 program. Factors influencing confidence in performing CPR were gender, age, education level, economic activity, smoking or not, drinking or not, subjective health status, marital status, CPR education experience, and accident addiction experience. It is hoped that this will be used as basic data for the development of related education programs to increase CPR performance and to provide a theoretical basis for the appropriate CPR education method for adults by grasping the effect of the degree of CPR education on their performance confidence.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.12
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• pp.254-264
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• 2019

This study is a descriptive correlation study investigating the effects of stress disorder symptoms, resilience, and social network on post-traumatic growth in traffic accident patients. The participants were 158 traffic accident cases enrolled from five 100-bed hospitals situated in city C. Data were collected from July 1 to August 31, 2018, and analyzed by t-test, ANOVA, Pearson's correlation coefficients, and multiple regression using SPSS / Win23. The explanatory power of post-traumatic growth was determined to be 36.9%, and the factors affecting post-traumatic growth were social network and post-traumatic stress disorder. In addition, social networks completely established the relationship between resilience and post-traumatic growth. Our results confirmed that a wider social network and increased symptoms of post-traumatic stress disorder of the traffic accident patient are associated with higher post-traumatic growth. Therefore, it is necessary to explore approaches that improve the social networks and resilience to help post-traumatic growth of traffic accident patients. Additional research is required through repetitive and long-term observation of the accident victims.

• Journal of Korean Society of Transportation
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• v.24 no.7 s.93
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• pp.81-90
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• 2006

It is important to clarify the relationship between traffic accidents and various influencing factors in order to reduce the number of traffic accidents. This study developed a traffic accident frequency prediction model using by multi-linear regression and qualification theories which are commonly applied in the field of traffic safety to verify the influences of various factors into the traffic accident frequency The data were collected on the Korean National Highway 17 which shows the highest accident frequencies and fatality rates in Chonbuk province. In order to minimize the uncertainty of the data, the fuzzy theory and neural network theory were applied. The neural network theory can provide fair learning performance by modeling the human neural system mathematically. Tn conclusion, this study focused on the practicability of the fuzzy reasoning theory and the neural network theory for traffic safety analysis.

• Health Policy and Management
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• v.20 no.1
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• pp.103-124
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• 2010

Objectives: The out-of-pocket payment (OOP) of the Industrial Accident Compensation Insurance (IACI) in Korea was investigated empirically in terms of its incidence, magnitude and factors influencing them. Methods: The subjects were sampled with stratified, randomized methods among medical institutions of which the number of monthly IACI claims exceeded its median as of May 2008. Out of 204 institutions selected, 118 institutions (57.8%) responded to this survey. A total of 24,826 episodes(2,457 inpatient and 22,369 outpatient episodes) were included in this analysis. The incidence and magnitude of OOP of IACI were calculated by characteristics of institution as well as patient. Factors that affected the incidence and magnitude of OOP were investigated through multi-level analysis. Results: The overall incidence of OOP of IACI was 9.9% (25.6% for inpatient and 8.2% for outpatient) and the percentage of OOP among total expenditures was 8.3% on average (7.6% for inpatient and 26.8% for outpatient); 25.2% at traditional oriental medicine hospitals, 9.5% at general hospitals and 2.5% at the industrial-accident-designated medical institutions. The incidence of OOP of IACI was influenced by hospital size, ownership, longer duration of designation (over 5 years) and length of stay. On the other hand, its magnitude was influenced by medium-sized hospital, public hospital, location of large city and length of stay. Extra charges for upper grade room which accommodates less than 4 patients and treatment by specialists were the leading contributors to the magnitude of OOP of IACI. Conclusion: The incidence and magnitude OOP of IACI varied in institution type and were influenced by both institutional and patient's factors. In order to achieve the goal of Industrial Accident Compensation Insurance, appropriate level of compensation, that is, no incidence of OOP, for accident and disease of workers, it is necessary to take measures to reduce incidence and magnitude of OOP.

• Corrosion Science and Technology
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• v.12 no.6
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• pp.280-287
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• 2013

Flow accelerated corrosion(FAC) of the carbon steel piping in pressurized water reactors(PWRs) has been major issue in nuclear industry. Severe accident at Surry Unit 2 in 1986 initiated the worldwide interest in this area. Major parameters influencing FAC are material composition, microstructure, water chemistry, and hydrodynamics. Qualitative behaviors of FAC have been well understood but quantitative data about FAC have not been published for proprietary reason. In order to minimize the FAC in PWRs, the optimal method is to control water chemistry factors. Chemistry factors influencing FAC such as pH, corrosion potential, and hydrazine contents were reviewed in this paper. FAC rate decreased with pH up to 10 because magnetite solubility decreased with pH. Corrosion potential is generally controlled dissolved oxygen (DO) and hydrazine in secondary water. DO increased corrosion potential. FAC rate decreased with DO by stabilizing magnetite at low DO concentration or by formation of hematite at high DO concentration. Even though hydrazine is generally used to remove DO, hydrazine itself thermally decomposed to ammonia, nitrogen, and hydrogen raising pH. Hydrazine could react with iron and increased FAC rate. Effect of hydrazine on FAC is rather complex and should be careful in FAC analysis. FAC could be managed by adequate combination of pH, corrosion potential, and hydrazine.

• Journal of Korean Society of Transportation
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• v.25 no.2 s.95
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• pp.63-72
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• 2007

The purpose of this study is to develop a traffic characteristic analysis, a correlation analysis with the variables of traffic characteristics, and accident estimation models while recognizing the seriousness of the traffic accidents. The analyses deal with the 181 4-legged signalized intersections that accounted for 1,183 out of 3,115 accidents in Cheongju in 2004. After measuring ADT, intersection area, average lane width, elevation, and other items as independent variables and the number of traffic accidents, the traffic accident rate (accidents per million entering vehicles) and equivalent property damage only (EPDO) figures as dependent variables which are estimated as influencing signalized intersection accidents, the estimation models are developed using correlation analysis and multiple regression analysis. In the analysis of the number of traffic accidents, the model indicates an $R^2$ of 0.612, and five independent variables are taken as significant factors. In the analysis of traffic accident rates, the model indicates an $R^2$ of 0.304 and five significant factors, including intersection area and ADT. Also, for the analysis or the EPDO numbers, which coincides with understanding the seriousness of the traffic accidents and the traffic characteristic analysis, the model indicates an $R^2$ of 0.559, and four independent variables (ADT, main street average lane width, elevation, and speed limit) as significant factors.

• Journal of the Korea Safety Management & Science
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• v.11 no.2
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• pp.19-26
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• 2009

This study was designed to analyse the performance and the mechanisms of workers' participation and communications in industrial accident prevention activities leading to the reduction of industrial accidents. This study also aimed to find out the causal relationship influencing the promotion of prevention activities of industrial accidents. Of the manufacturing businesses with more than 5 workers as the population of the survey, a questionnaire was conducted with 2,500 workspaces chosen by stratified sampling. Out of 2500 workspaces, 971 workspaces equipped with industrial safety and health committee were analysed in this study. According to the results of this study, the primary influential factors on safety activities were the management of industrial accidents and the cooperations between supervisors and workers on site. The secondary influential factor was the establishment of industrial safety and health committee. Regarding the effectiveness of industrial accident reduction, -0.01 was shown by workplace safety activities by themselves and -0.09 was shown by participation and communications through indirect safety activities. This indicated workers' participation and communications play an important role in the reduction of industrial accidents. By discovering the clue to the mechanism of the workers' participation and communications, this study is expected to stimulate the reduction of industrial accidents by emphasizing the importance of workers' participation and communications in resolving the safety and health problem in the workplaces.

• The Journal of the Korea institute of electronic communication sciences
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• v.15 no.6
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• pp.1123-1130
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• 2020

This study aims to classify the severity in car crashes using five classification learning models. The dataset used in this study contains 21,013 vehicle crashes, obtained from Korea Expressway Corporation, between the year of 2015-2017 and the LightGBM(Light Gradient Boosting Model) performed well with the highest accuracy. LightGBM, the number of involved vehicles, type of accident, incident location, incident lane type, types of accidents, types of vehicles involved in accidents were shown as priority factors. Based on the results of this model, the establishment of a management strategy for response of highway traffic accident should be presented through a consistent prediction process of accident severity level. This study identifies applicability of Machine Learning Models for Predicting of the Severity of Car Traffic Accidents on a Highway and suggests that various machine learning techniques based on big data that can be used in the future.