• Women's Health Nursing
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• v.28 no.2
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• pp.145-153
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• 2022

Purpose: This study aimed to investigate the influencing factors of breast cancer recurrence by comparing the risk factors and lifestyle patterns related to breast cancer in Korean women with and without recurrence. Methods: This cross-sectional survey comprised 241 Korean women diagnosed with breast cancer who had received follow-up treatment. Participants were recruited from a university hospital in Seoul and an online social media platform for breast cancer patients. Data were collected either via online or a paper survey, using a structured questionnaire that included general and disease-related characteristics and lifestyle behaviors. Data were analyzed using descriptive statistics, univariate analysis, and logistic regression. Results: Recurrence of breast cancer was influenced by four factors; childbirth experience, consumption of green/yellow vegetables, drinking behavior, and recovery from fatigue after sleep. Prevalence of recurrent breast cancer was associated with no childbirth experience (OR=2.29, p=.010), fewer green/yellow vegetables (OR=0.71, p=.008), drinking behavior (OR=0.24, p=.001), and a lower level of recovery from fatigue after sleep (OR=0.51, p<.001). Conclusion: Aside from having experienced childbirth, this study identified several modifiable factors that influence breast cancer recurrence. Increasing green/ yellow vegetable intake, alleviating fatigue, and reducing alcohol intake are important. Intervention strategies in clinical research and practice can be applied to address risk factors and reduce the prevalence of recurrent breast cancer.

• Journal of Korean society of Dental Hygiene
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• v.22 no.6
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• pp.521-529
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• 2022

Objectives: The purpose of this study was to determine the factors affecting periodontal disease-related symptoms in adolescents using raw data from the 16th (2020) online survey on adolescent health. Methods: Data were collected from the survey entries, and analyzed using IBM SPSS Statistics 21.0. A multi-sample chi-square test was performed to determine periodontal disease-related symptoms according to demographic characteristics, lifestyles, exercise habits, and psychological factors. Logistic regression analysis was performed to determine factors affecting periodontal disease-related symptoms. Results: Periodontal disease-related symptoms were higher in female, high school-age adolescents, and those with lower economic status. Increased alcohol intake, having breakfast 3 days or less a week, ingesting sweet drinks and fast food three or more times a week, and zero water intake were found to have a greater effect on periodontal disease-related symptoms. Higher levels of stress, fewer hours of sleep, and feeling less healthy were also factors leading to increased periodontal disease-related symptoms. Conclusions: Adolescents have various factors that are associated with periodontal disease. A method to reduce rates of periodontal disease in adolescents should be developed, along with a school oral health education program.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.56 no.3
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• pp.246-257
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• 2020

According to the statistics of KMST (2010~2019), 68.5% of marine casualties have been occurred in fishing boats in the last 10 years. Although the incidence rate of annual average per ship is 10.4% for merchant ships and 2.3% for fishing boats, it is necessary to first reduce the marine casualties of fishing boats in order to reduce the occurrence of the whole marine casualty, considering that the number of registered fishing boats are 86.5% of the total. In this study, the top 10 fishing types with high occurring marine casualties in the past 10 years were selected using the statistics of KMST. Then, the causes of the marine casualties, focusing on the collision, were analyzed and counterplan were suggested. The biggest marine casualty that the top 10 fishing types have caused in the past 10 years was a collision, accounting for 71.7% of the total, and the rest were less than 10.0% each. Also, it was found that the biggest environment and cause of the collision were due to human factors such as poor look out or negligence of duty. Eventually, it was concluded that a reduction in the human factors for the causes basically, could lower the incidence of the marine casualties. Therefore, if the continuous and systematic correcting education of the attitude toward the ship operating of seafarers could conducted with the focus on the main human factors, the whole marine casualties will be expected to decrease gradually.

• Journal of Preventive Medicine and Public Health
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• v.34 no.2
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• pp.141-148
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• 2001

Objective : To investigate the sources, extent and related factors in South Korean doctors. Methods : The study subjects were 934 doctors in Taegu, Kyungpook Province, Korea(540 independent practitioners, 105 employed at hospitals and 289 residents in training). Information concerning job stress was obtained using a 9-item questionnaire. Information regarding related factors such as demographic characteristics(age, sex, marital status), perceptions on the socioeconomic status of doctors and working conditions(work time, on-call days per week) was also obtained by self-administered questionnaire during April and May, 2000. Results : Major sources of job stress included clnical responsibility/judgement factor, patient factor and work loading factor. The job stress score of residents was the highest among three groups. The score was lower in older doctors. The score was low among those who thought doctors' socioeconomic status was not good. The longer the work time, the higher the job stress score was. Multiple regression analysis was conducted to control for the mutual influence of independent variables. In regression analysis, the score of residents was higher than practitioners. Work time and socioeconomic status perception had negative effects on job stress score. Conclusion : The average job stress score of the doctors was high. Age, work type, working conditions and perceptions of socioeconomic status were found to besignificantly related to job stress score. Although the job stress of doctors is somewhat inevitable due to the nature of the doctor's job, control of work time, development of coping tools and other intervention methods are needed to reduce job stress of doctors. Further studies are required to understand the characteristics of iob stress and reduce the job stress of doctors.

• Journal of Veterinary Clinics
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• v.32 no.1
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• pp.78-84
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• 2015

Although researches have highlighted the important role of enhanced farm biosecurity to reduce the severity and prevalence of diseases in livestock, to date there has been little study in Korea on farmers' adoption of biosecurity measures to control porcine reproductive and respiratory syndrome virus (PRRSV) infection. To mitigate the risk of PRRSV infection in pigs, the risk factors by which PRRSV is introduced in pig farms must be determined. The primary aim of this study was to investigate pig producers' perceptions about on-farm biosecurity practices. We also analyzed data obtained from a cross-sectional study on 196 farrow-to-finish farms conducted between March 2013 and February 2014 to identify risk factors for PRRSV infection at farm level. Standardized questionnaires with information about basic demographical data and management practices were collected in each farm by on-site visit of trained veterinarians. Farms were classified as negative or positive through the use of infection profiles that combined data on PCR positive pigs and serological testing including antibody titer, sero-conversion pattern at each age category, and vaccination status. Data on biosecurity practices, farm management and environmental characteristics were analyzed using multivariate ordinal logistic regression. Generally, the biosecurity level in the pig farms included in this study were insufficient to reduce/prevent the risk of PRRSV infection given the high pig density areas and the considerable extent of vehicle movement. Factors associated with PRRSV infection were those where owners used on-farm vaccination programs had a lower risk of infection (OR = 0.19, 95% CI 0.06-0.61). The results from the analysis may guide to tailor biosecurity measures in the reduction or prevention of PRRS to the specific circumstances of pig farms in different localities of the world. To the best knowledge of the authors, this is the first study to report information on the biosecurity practices currently implemented on Korean pig farms.

• Research in Community and Public Health Nursing
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• v.15 no.1
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• pp.95-101
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• 2004

Purpose: The purpose of this study was to identify factors influencing adolescent smoking behavior in the Seoul area. Method: A total of 6.352 middle and high school students living in the Gangnam district of Seoul participated in the study. A self report survey method was used to identify factors related to smoking. Result: A stepwise logistic regression analysis identified four factors associated with adolescent smoking: living with a parent who smokes (OR=1.4), having friend (s) who smoke (OR=14.8), negative attitudes toward passive smoking(OR=4.8), and ignorance of the impact of smoking on health(OR=4.6). Conclusion: Based on the study results, components of effective programs to reduce adolescent smoking rates should include programs to deal with peer pressure to smoke and to reduce the impact of parents who smoke, to increase knowledge of the impact of smoking, and to promote positive attitudes toward anti smoking.

• Journal of Preventive Medicine and Public Health
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• v.42 no.4
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• pp.243-250
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• 2009

Objectives : The purposes of this study is to estimate the cost of cancer care after its diagnosis and to identify factors that can influence the cost of cancer care. Methods : The study subjects were patients with an initial diagnosis one of four selected tumors and had their first two-years of cancer care at a national cancer center. The data were obtained from medical records and patient surveys. We classified cancer care costs into medical and nonmedical costs, and each cost was analyzed for burden type, medical service, and cancer stage according to cancer types. Factors affecting cancer care costs for the initial phase included demographic variables, socioeconomic status and clinical variables. Results : Cancer care costs for the initial year following diagnosis were higher than the costs for the following successive year after diagnosis. Lung cancer (25,648,000 won) had higher costs than the other three cancer types. Of the total costs, patent burden was more than 50% and medical costs accounted for more than 60%. Inpatient costs accounted for more than 60% of the medical costs for stomach and liver cancer in the initial phase. Care for latestage cancer was more expensive than care for early-stage cancer. Nonmedical costs were estimated to be between 4,500,000 to 6,000,000 won with expenses for the caregiver being the highest. The factors affecting cancer care costs were treatment type and cancer stage. Conclusions : The cancer care costs after diagnosis are substantial and vary by cancer site, cancer stage and treatment type. It is useful for policy makers and researchers to identify tumor-specific medical and nonmedical costs. The effort to reduce cancer costs and early detection for cancer can reduce the burden to society and improve quality of life for the cancer patients.

• Korea Journal of Hospital Management
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• v.14 no.1
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• pp.36-61
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• 2009

This study focused on finding the variation of medical service utilization, paths of medical service utilization and medical payments of the patients died by cerebrovascular diseases. For this study, data of the one-year episodes of the health insurance subscribers died in 2004 were selected. The frequency of medical visits, the lengths of stays, the days of outpatient visits, the total period of medical services and the total medical payments were compared by the characteristics of the suppliers and utilizers. This study is useful in reviewing the equity of medical service utilization because it analyzed variance in utilization by episodes. In oder to collect accurate data of the patients died by cerebrovascular diseases in 2004 the 2004 reimbursement data of all medical institutions were matched to the data of funeral fee payment by the National Health Insurance Corporation from January 2004 to May 2005. The major results of the study are as follows. The variation of medical service utilization of cerebrovascular diseases was influenced by supplier factors suppliers, such as types and locations of medical institutions and user factors such as sex and age. It was suspected that the reimbursement by fee-for-service contributed to the variation quite a lot, but we could not compare the variation between the different reimbursement systems in Korea. On the basis of analyzing results this study suggests that the factors of suppliers and utilizers should be reviewed to reduce the under use and over use expressed by variations of medical service. The processes of care, effective communication and management system should be investigated for the equity of medical service utilization and also. alternative medical services would be recommended to reduce the high medical payment. Additionally to find other causes of variation further in depth study controling the severity of diseases, socio-economic status of the users and the system factors is required.

• Korea Journal of Hospital Management
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• v.12 no.3
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• pp.1-19
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• 2007

This study focused on finding the variation of medical service utilization and medical payments of the patients died by three, cancers, stomach, breast, and colon cancer. For this study, data of the one-year episodes of the health insurance subscribers died in 2004 were selected. The frequency of medical visits, the lengths of slays, the days of outpatient visits, the total period of medical services and the total medical payments were compared by the characteristics of the suppliers and utilizers. The data of the patients died by cerebrovascular diseases and cancer in 2004 were selected. To select the dead by cerebrovascular diseases and cancer in 2004, were matched the 2004 reimbursement data of all medical institutions to the data of funeral fee payment by the National Health Insurance Corporation from January 2004 to May 2005 for the death in 2004. The results of the analysis were as follow. The variation of medical service utilization of the dead by cancers were not small in Korea. The current study found that the variation of medical care utilization was influenced by the factors of suppliers, such as types and locations of medical institutions and the factors of users, such as sex and age. It was suspected that the reimbursement by fee-for-service contributed to the variation quite a lot, but we could not compare the variation between the different reimbursement systems in Korea. The results of the study suggested that tile factors of suppliers and utilizers should he reviewed to reduce the under use and over use expressed by variations of medical service utilization. The processes of care, effective communication and management system should be investigated for the equity of medical service utilization. Additionally, prospective payment could he recommended to reduce the high variation of medical service Use. To find the variation caused by under use and over use, further study need to control the severity of diseases, socio-economic status of the users and the system factors.

• Geomechanics and Engineering
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• v.25 no.1
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• pp.1-16
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• 2021

Machine learning models have been widely used for landslide susceptibility assessment (LSA) in recent years. The large number of inputs or conditioning factors for these models, however, can reduce the computation efficiency and increase the difficulty in collecting data. Feature selection is a good tool to address this problem by selecting the most important features among all factors to reduce the size of the input variables. However, two important questions need to be solved: (1) how do feature selection methods affect the performance of machine learning models? and (2) which feature selection method is the most suitable for a given machine learning model? This paper aims to address these two questions by comparing the predictive performance of 13 feature selection-based machine learning (FS-ML) models and 5 ordinary machine learning models on LSA. First, five commonly used machine learning models (i.e., logistic regression, support vector machine, artificial neural network, Gaussian process and random forest) and six typical feature selection methods in the literature are adopted to constitute the proposed models. Then, fifteen conditioning factors are chosen as input variables and 1,017 landslides are used as recorded data. Next, feature selection methods are used to obtain the importance of the conditioning factors to create feature subsets, based on which 13 FS-ML models are constructed. For each of the machine learning models, a best optimized FS-ML model is selected according to the area under curve value. Finally, five optimal FS-ML models are obtained and applied to the LSA of the studied area. The predictive abilities of the FS-ML models on LSA are verified and compared through the receive operating characteristic curve and statistical indicators such as sensitivity, specificity and accuracy. The results showed that different feature selection methods have different effects on the performance of LSA machine learning models. FS-ML models generally outperform the ordinary machine learning models. The best FS-ML model is the recursive feature elimination (RFE) optimized RF, and RFE is an optimal method for feature selection.