• Research in Community and Public Health Nursing
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• v.18 no.3
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• pp.420-430
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• 2007

Purpose: This study was to identify factors affecting regular mammography screening behavior of outpatients. The target subjects were 150 women who had visited the breast clinic at the university hospital, and the study period was around 10 months from March to December 2006. Data were analyzed by using $\chi^2$-test, t-test and logistic regression analysis. Results: Of the subjects, 50% experienced mammography and 31.6% took mammography regularly. In the relational analysis between various factors and regular mammography, there were significant differences among the $41{\sim}50$ year old group, the employed group, the high income group, the regular exercise group, the non-drinking group, and the previously x-rayed group. And, in the Logistic Regression analysis, those who preferred bean food were 3.20 times more likely to take mammogram regularly, and those who married were 3.49 times more likely to do than the unmarried. Also, those who had low health belief and who were under age 51 were less likely to take regular mammogram. Conclusion: In order to increase the rate of conducting regular mammography, there must be different intervention strategies according to food habit, marital status and age, and a support system must be devised to increase health belief about breast cancer.

• Safety and Health at Work
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• v.6 no.4
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• pp.338-344
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• 2015

Background: The present study aims to investigate job stressors and stress relievers for Korean emotional laborers, specifically focusing on the effects of work conditions and emotional labor properties. Emotional laborers are asked to hide or distort their real emotions in their interaction with clients. They are exposed to high levels of stress in the emotional labor process, which leads to serious mental health risks including burnout, depression, and even suicide impulse. Exploring job stressors and relieving factors would be the first step in seeking alternatives to protect emotional laborers from those mental health risks. Methods: Using the third wave data of Korean Working Conditions Survey, logistic regression analysis was conducted for two purposes: to examine the relations of emotional labor and stress, and to find out job stressors and relievers for emotional laborers. Results: The chances of stress arousal are 3.5 times higher for emotional laborers; emotional laborers experience double risk-burden for stress arousal. In addition to general job stressors, emotional laborers need to bear burdens related to emotional labor properties. The effect of social support at the workplace is not significant for stress relief, unlike common assumptions, whereas subjective satisfaction (wage satisfaction and work-life balance) is proven to have relieving effects on emotional laborers' job stress. Conclusion: From the results, the importance of a balanced understanding of emotional labor for establishing effective policies for emotional laborer protection is stressed.

• Journal of the Korea Safety Management & Science
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• v.23 no.2
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• pp.9-17
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• 2021

As interest in vocational competency development projects increases, support is increasing. In this study, in order to study ways to improve participation in vocational competency development training, related factors are selected and the main factors influencing them are derived. The main factors were influencing factors were identified and ways to improve participation rate of vocational competency development were studied. Variables were selected through prior research, and data were collected and analyzed through in-depth group interviews. Based on factor analysis and reliability analysis, as a result of confirming the factors that influence the plan for improving participation in vocational competency development training by applying the backward stage selection (condition) method of logistic regression analysis, the case of respect for minorities in the 7-point Likert scale The closer to 7 was, the higher the probability of being classified as having never participated, and the other factors except minority respect, Likert scale closer to 7 indicates higher probability of bening classified as having never participated, except for the minority respect factor. Therefore, it was confirmed that lowering the scale of the factor of respect for minority, which is job satisfaction, and increasing the factors of individual characteristics such as annual salary and organizational commitment, training system for job satisfaction, and quality assurance have effects on improving participation rates in vocational competency development training.

• Journal of The Korean Society of Agricultural Engineers
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• v.63 no.2
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• pp.33-40
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• 2021

The purpose of this study is to analysis the influence of personal backgrounds on the preference of fishing village experience recreation villages. As the analysis method, binary logistic regression analysis was used. Dependent variables are experience recreation villages (rural and fishing). The independent variables consist of 9 groups of people: gender, age, family type, marital status, presence of children, principal companion, fishing village image, visit experience villages, recognition of fishing village experience recreation village. As a result of the analysis, it was found that the tourist's gender, age, family type, marital status, presence of children, principal companion, fishing village image, visit experience villages, recognition of fishing village experience recreation village influence the preference of fishing village experience recreation village. By characteristics of each group, it was found that male prefer fishing village experience recreation villages 1.597 times as much as female, and those with a positive image about fishing villages prefer fishing village experience recreation villages as much as 2.644 times than those with negative images. In addition, it was found that those who visited the fishing village experience and recreation village prefer the fishing village experience village about six times more than those who have never visited.

• Journal of Korean Society of Rural Planning
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• v.27 no.1
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• pp.85-94
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• 2021

The purpose of this study is to investigate the factors affecting the types of the 6th industrialization of fishery households. In this study we tried to explain the significance of the demographic and managerial characteristics of fishery households when they choose the types of the 6th industrialization business. Multinomial logistic model was used for this analysis. This study shows that the household and fishery management characteristics, main method of fishing, and regional factors matters for fishery households to choose their business types. Our results implies that it is necessary to reflect the detailed support measures differentiated by business types when implementing the 6th industrialization policy for fishery sector. In addition, the sixth industrialization of fishery should not be limited to marine products, but agricultural products produced in fishing villages should be included.

• Journal of Korean society of Dental Hygiene
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• v.22 no.5
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• pp.347-354
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• 2022

Objectives: This study aimed to evaluate the relationship between pit and fissure sealants of the molars, and caries prevalence and experience to assess the effect of sealants on caries prevention. Methods: Data from 16,119 people were extracted from the seventh Korean national health and nutrition examination survey, which was conducted from 2016 to 2018. Demographic, socioeconomic, oral health-related behavioral, and oral examination survey data were collected as independent variables. SAS statistics for complex samples and multiple logistic regression analysis (Windows ver. 9.4) was used for the statistical analyses. Results: Caries prevalence and experience were significantly associated with age, sex, daily toothbrushing frequency, interdental cleaning, and having molar sealant. Multiple logistic regression analysis revealed a significant association between having molar sealants and the caries prevalence and experience among participants under 30 years of age after adjusting socio-economic variables and toothbrushing-related factors. Conclusions: This study confirmed the effect of molar sealants on caries prevention in Korea. Our results support that the application of molar sealants in children, adolescents, and young individuals is effective in preventing caries.

• Korean Journal of Artificial Intelligence
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• v.11 no.1
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• pp.1-7
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• 2023

In this paper, a study was conducted to compare the prediction model of cardiovascular disease occurrence. It is the No.1 disease that accounts for 1/3 of the world's causes of death, and it is also the No. 2 cause of death in Korea. Primary prevention is the most important factor in preventing cardiovascular diseases before they occur. Early diagnosis and treatment are also more important, as they play a role in reducing mortality and morbidity. The Results of an experiment using Azure ML, Logistic Regression showed 88.6% accuracy, Decision Tree showed 86.4% accuracy, and Support Vector Machine (SVM) showed 83.7% accuracy. In addition to the accuracy of the ROC curve, AUC is 94.5%, 93%, and 92.4%, indicating that the performance of the machine learning algorithm model is suitable, and among them, the results of applying the logistic regression algorithm model are the most accurate. Through this paper, visualization by comparing the algorithms can serve as an objective assistant for diagnosis and guide the direction of diagnosis made by doctors in the actual medical field.

• International Journal of Computer Science & Network Security
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• v.23 no.8
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• pp.190-198
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• 2023

To enhance customer satisfaction for higher profits, an e-commerce sector can establish a continuous relationship and acquire new customers. Utilize machine-learning models to analyse their customer's behavioural evidence to produce their competitive advantage to the e-commerce platform by helping to improve overall satisfaction. These models will forecast customers who will churn and churn causes. Forecasts are used to build unique business strategies and services offers. This work is intended to develop a machine-learning model that can accurately forecast retainable customers of the entire e-commerce customer data. Developing predictive models classifying different imbalanced data effectively is a major challenge in collected data and machine learning algorithms. Build a machine learning model for solving class imbalance and forecast customers. The satisfaction accuracy is used for this research as evaluation metrics. This paper aims to enable to evaluate the use of different machine learning models utilized to forecast satisfaction. For this research paper are selected three analytical methods come from various classifications of learning. Classifier Selection, the efficiency of various classifiers like Random Forest, Logistic Regression, SVM, and Gradient Boosting Algorithm. Models have been used for a dataset of 8000 records of e-commerce websites and apps. Results indicate the best accuracy in determining satisfaction class with both gradient-boosting algorithm classifications. The results showed maximum accuracy compared to other algorithms, including Gradient Boosting Algorithm, Support Vector Machine Algorithm, Random Forest Algorithm, and logistic regression Algorithm. The best model developed for this paper to forecast satisfaction customers and accuracy achieve 88 %.

• Journal of East-West Nursing Research
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• v.16 no.2
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• pp.172-178
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• 2010

Purpose: We examined the relationship between the health-related issues of elderly women and bone density and identified specific factors that affect the prevalence of osteoporosis to provide basic data for developing a health care program on osteoporosis prevention. Methods: This study is a secondary data analysis of 118,903 66-yr-old women who received a health examination conducted by the National Health Insurance Corporation in 2008. Multiple logistic regression analysis was used to identify factors affecting the prevalence of osteoporosis. Results: The prevalence of osteoporosis was 46.8%, whereas the prevalence of osteopenia was 38.4% among elderly women in this study. Statistically significant differences were observed between the osteoporosis and non-osteoporosis group in terms of smoking (p<.001), exercise (p<.001), obesity (p<.001), waist circumference (p<.001), depression (p<.001), falling experience (p<.05), and the cognitive function risk (p<.05). Based on the multiple logistic regression results, the risk for osteoporosis was high in those who were under-weight, smoked, or were depressed. In contrast, moderate or high level obesity showed a negative relationship with osteoporosis. Conclusion: The prevalence of osteopenia and osteoporosis was 85.2%. Therefore, there is a need to develop health care programs pertaining to osteoporosis intervention and prevention for elderly women. Because smoking, non-exercise, and obesity are main osteoporosis risk factors, it is highly recommended that some sound practical life programs and psychological support programs be considered for this population.

• Journal of the Korean Dietetic Association
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• v.29 no.4
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• pp.248-260
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• 2023

This study provides basic data when planning nutrition support for healthy aging by revealing the relationship between various symptoms in the elderly and nutrient intake. From the 8th National Health and Nutrition Examination Survey, data from senior citizens aged 65 years or older in 2021 were used, and answers on the depression prevalence, activity restrictions, complaints of discomfort when chewing, and nutrient intake were analyzed through SPSS multiple logistic regression analysis. In the case of depression, there was a significant effect on the intake of four of the 20 nutrients (water, protein, cholesterol, and vitamin E). When experiencing activity restrictions, the intake of eight of the 20 nutrients (phosphorus, magnesium, vitamin A, vitamin D, beta-carotene, retinol, thiamine, and niacin) was affected. When experiencing chewing discomfort, the intake of three of the 20 nutrients (fat, magnesium, and vitamin E) was affected. Elderly people who suffer from depression, activity restrictions, and discomfort with chewing are at risk of various nutrient deficiencies, and related studies need to be conducted.