• Journal of Korean Academy of Nursing
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• v.40 no.1
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• pp.52-59
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• 2010

Purpose: This study was conducted to provide basic data for developing education and health promotion programs for the prevention of cancer by identifying the relation between optimistic bias about cancer and cancer preventive behavior in Korean, Chinese, American, and Japanese residents in Korea. Methods: Using a questionnaire administered by the researcher, data were collected from a convenience sample of 600, 19 to 64-yr-old male and female Korean, Chinese, American, and Japanese residents in Korea. Data was collected between February 6 and 28, 2009. Results: Scores for optimistic bias about cancer by nationality were: Koreans, -1.03; Chinese, -0.43; Americans, -0.23; and Japanese, 0.05. The cancer preventive behavior scores were: Koreans, 43.17; Chinese, 71.84; Americans, 71.71; and Japanese, 73.97. Optimistic bias about cancer and cancer preventive behavior showed a significantly positive correlation in all participants: Koreans (r=.223, p=.006); Chinese (r=.178, p=.029); Americans (r=.225, p=.006); and Japanese (r=.402, p<.001). Conclusion: The greater the optimistic bias about cancer is, the lower the cancer preventive behavior. The findings suggest that nursing interventions are needed to reduce optimistic bias about cancer and to form a positive attitude towards cancer prevention because an optimistic bias about cancer adversely affects cancer preventive behavior.

• Research in Community and Public Health Nursing
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• v.14 no.4
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• pp.629-638
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• 2003

Purpose: This study investigated the effects of knowledge and health belief on osteoporosis preventive health behaviors. Methods: The subjects of this study were 266 middle-aged women. Data were collected using a self-reporting questionnaire with 101 questions. The period of data collection was from the 3rd of January to the 28th of February 2003. Data were analyzed using SPSS 10.0 PC+ program. Results: The results were summarized as follows: 1. The average score of knowledge about osteoporosis was 16.93 out of 27. Particularly, middle-aged women had knowledge more about osteoporosis prevention measures than about risk factors. 2. Knowledge, self efficacy and barriers were significantly correlated with osteoporosis preventive health behaviors. 3. As for the relationship between subjects' general characteristics and their health preventive behaviors, the size of living district, economic status, BMI. family history of osteoporosis and perception of health status were found to have significant effects on health preventive behaviors. Conclusions: According to the results presented above, preventive health behaviors may be promoted by increasing knowledge and perceived self-efficacy as well as decreasing individuals' perceived barriers through health education.

• The Korean Journal of Rehabilitation Nursing
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• v.17 no.2
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• pp.97-103
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• 2014

Purpose: This study was conducted to identify the knowledge, attitude, and preventive health behavior of cancer in middle-aged men and to provide data for education program regarding cancer prevention. Methods: This study was a descriptive research using a questionnaire, which included 20 items for knowledge, 10 items for attitude, and 18 items for preventive health behavior of cancer. Data were collected from 140 middle-aged men. Descriptive statistics, t-test, one-way ANOVA and Pearson's correlation coefficients, and stepwise multiple regression analysis were used with SPSS/WIN 18.0 to analyze the data. Results: The mean score for knowledge of cancer was 11.58 (range 0~20), for attitude, 37.52 (range 5~50), and for preventive health behavior of cancer, 58.85 (range 18~90). Preventive health behavior of cancer showed a significantly positive correlation with knowledge (r=.27, p=.001) and attitude (r=.31, p<.001) toward cancer. In stepwise multiple regression analysis, knowledge and attitude toward cancer were significant factors affecting preventive health behavior of cancer. Those variables explained 12.5% of cancer preventive behavior. Conclusion: In order to develop a cancer prevention education program for middle-aged men, accurate knowledge and improving attitude should be considered. Furthermore, it is necessary to do further study with a larger random sample according to lifespan.

• Journal of Applied Reliability
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• v.16 no.4
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• pp.313-322
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• 2016

Purpose: We introduce ways to employ Markov chain model to evaluate the effect of preventive maintenance process. While the preventive maintenance process decreases the failure rate of each subsystems, it increases the downtime of the system because the system can not work during the maintenance process. The goal of this paper is to introduce ways to analyze this trade-off. Methods: Markov chain models are employed. We derive the availability of the system consisting of N repairable subsystems by the methods under various maintenance policies. Results: To validate our methods, we apply our models to the real maintenance data reports of military truck. The error between the model and the data was about 1%. Conclusion: The models developed in this paper fit real data well. These techniques can be applied to calculate the availability under various preventive maintenance policies.

• Journal of Preventive Medicine and Public Health
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• v.31 no.4 s.63
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• pp.875-884
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• 1998

Missing observations are common in medical research and health survey research. Several statistical methods to handle the missing data problem have been proposed. The EM algorithm (Expectation-Maximization algorithm) is one of the ways of efficiently handling the missing data problem based on sufficient statistics. In this paper, we developed statistical models and methods for survey data with multivariate missing observations. Especially, we adopted the EM algorithm to handle the multivariate missing observations. We assume that the multivariate observations follow a multivariate normal distribution, where the mean vector and the covariance matrix are primarily of interest. We applied the proposed statistical method to analyze data from a health survey. The data set we used came from a physician survey on Resource-Based Relative Value Scale(RBRVS). In addition to the EM algorithm, we applied the complete case analysis, which uses only completely observed cases, and the available case analysis, which utilizes all available information. The residual and normal probability plots were evaluated to access the assumption of normality. We found that the residual sum of squares from the EM algorithm was smaller than those of the complete-case and the available-case analyses.

• Journal of muscle and joint health
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• v.20 no.1
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• pp.43-51
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• 2013

Purpose: The purpose of this study was to investigate attitudes and preventive practice of pressure ulcer among hospital nurses and identify factors affecting their preventive practice of pressure ulcer. Methods: Data were collected at April, 2011 in a university hospital in Korea. A total of 140 hospital nurses completed a questionnaire including attitudes and preventive practice of pressure ulcer. Data were analyzed with descriptive statistics, Spearmans rho, and stepwise multiple regression via SPSS/WIN 20.0. Results: Levels of attitudes and preventive practice of pressure ulcer were average 3.65 out of 5 and 2.19 out of 3 respectively. There was significant difference in preventive practice of pressure ulcer by area of practice ($x^2$= 43.35, p<.001), frequency of pressure ulcer care ($x^2$=10.72, p=.013), and experience of wound care education (Ζ=4.73, p=.030). The attitudes toward pressure ulcer prevention were positive correlated to preventive practice among nurses (rho=.190, p=.049). Area of practice, attitude toward pressure ulcer prevention and experience of wound care education explained 48% of variance in preventive practice of pressure ulcer. Conclusion: For improving quality of care, it is important to provide educations to change nurses attitudes toward preventive practice of pressure ulcer.

• Journal of Preventive Medicine and Public Health
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• v.53 no.3
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• pp.164-167
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• 2020

Objectives: As of March 3, 2020, the Shincheonji religious group accounted for the majority of Korean cases of coronavirus disease 2019 (COVID-19). Nonetheless, the most likely cause of the broad spread of COVID-19 among members of the Shincheonji religious group remains largely unknown. Methods: We obtained data of laboratory-confirmed cases related to the Shincheonji religious group from press releases by Korean public health authorities and news reports. We measured the period from the date of illness onset to the date of COVID-19 confirmation. Results: We analysed data from 59 cases (median age, 30 years). The estimated median period between the date of symptom onset and the date of COVID-19 confirmation was 4 days (95% confidence interval, 1-12). Conclusions: There was a delay in COVID-19 confirmation from the date of illness onset among the cases linked to the Shincheonji religious group. This delay likely contributed to the occurrence of many cases of COVID-19 in the group.

• Proceedings of the KIEE Conference
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• 2005.07a
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• pp.592-596
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• 2005

The preventive diagnostic system prevents transformers from power failure by giving alarm and observing transformers in service. And it helps to establish the plan for optimum maintenance of transformer as well as to find location or cause of fault using accumulated data. KEPCO has adopted the preventive diagnostic system at nine 345kV substations since 1997. Techniques for component sensors of preventive diagnostic system were settled but diagnostic algorithm, diagnostic criteria and practical use of accumulated data are not yet established. This paper, to build up the base of preventive diagnostic algorithm for the power transformer, investigated the preventive diagnostic criteria for power transformer.

• 대한예방의학회:학술대회논문집
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• 2001.10a
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• pp.224-225
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• 2001

• 대한예방의학회:학술대회논문집
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• 2002.10a
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• pp.189-189
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• 2002