• Journal of Korean Public Health Nursing
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• v.21 no.2
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• pp.125-133
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• 2007

Purpose: To identify the compliance level with therapeutic regimen among patients with hypertension residing in rural communities. Method: A descriptive-retrospective research design was employed. One hundred patients with hypertension using 8 Primary Health Care Posts under W Public Health Center were randomly recruited on the basis of being over 35 years of age. After obtaining written consent, the patients underwent direct interviews with a structured questionnaire carried out by 8 public health practitioners. Descriptive statistics and binary logistic regression were utilized. Results: In a binary logistic regression model adjusted for age, sex, education, income, and occupation, those who were receiving medication (OR=5.34), were undergoing a weight control program (OR=4.45), restricted alcohol (OR=9.93), or smoking cessation (OR=25.59) as recommended by medical or health professionals were more compliant (p<.05) while those under a low salt diet, exercise, and stress management were not significant statistically (p>.05). Conclusions: Further research should be conducted to validate these findings so as to facilitate the development of nursing intervention strategies for improving the compliance of hypertensive patients in respect to medication and life style modification.

• International Journal of Highway Engineering
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• v.19 no.2
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• pp.167-174
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• 2017

PURPOSES: This study aims to analyze the impact of the implementation of a school zone traffic safety improvement project on the number of accidents involving children in these zones. METHODS : To analyze the correlation between school zone traffic safety features of roads in the zone and the number of accidents involving children, we developed an occurrence probability model of traffic accidents involving children by using a binary logistic regression model with SPSS 23.0 software. Two separate models were developed for two zones: interior block and arterial road. RESULTS :The model depicted that in the case of the interior block, shorter sidewalk width, speed bump, and an elevated crosswalk were key factors affecting the occurrence of accidents involving children. In the case of arterial roads exceeding a width of 12 m, the speed limit, roadside barriers, and red paving of road surfaces were found to be the key factors. CONCLUSIONS:The results of this study can serve as the elementary research data to help improve the effectiveness of school zone traffic safety improvement projects and school zone road repair projects in future.

• Journal of the Korean Data and Information Science Society
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• v.22 no.6
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• pp.1137-1143
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• 2011

The purpose of this paper is to analyse the preference for direct marketing according to the characteristics of policyholders and suggest implications for marketing strategies with regard to direct marketing. A marked characteristic of this paper is a good quality of data and the results gained from analysing the data can be trusted very much. Binary logistic regression is employed. A statistically significant preference is shown in the group such as male, a younger generation, a hazardous occupation, the metropolitan area, and the customer of foreign company. The results suggest that promotion for female is needed to revitalize direct marketing. A tight underwriting for a hazardous occupation is also required.

• 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.

• Korea Journal of Hospital Management
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• v.26 no.4
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• pp.29-37
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• 2021

Purpose: The purpose of this study is to identify the characteristics and factors affecting falls among elderly inpatients with chronic diseases based on the data from the discharge damage depth survey of the Korea Disease Control and Prevention Agency(KDCA) from 2014 to 2018. Method: The study selected elderly inpatients aged over 65 who were hospitalized(n=1,173). Their data were analyzed after being assigned to either a fall group(KSCD, W00-W19) or a non-fall group. Frequency analysis, cross-tabulation analysis, and binary logistic regression analysis were conducted, using SPSS 28. Results: According to the analysis on category of fall and non-fall group were statistically significant difference in age and having chronic diseases. Based on the binary logistic regression analysis of factors affecting falls, The risk of falls was 1.058 times higher with age, and E11-E14 and I63 as main diagnostic codes, the risk of falls was 2.049 times and 2.437 times higher. Conclusion: It is necessary to develop customized educational manuals and muscle exercise programs considering the characteristics of chronic diseases and to create a safe hospital room environment, and this result is expected to be used as basic data for fall prevention education and manual development for elderly inpatients with chronic diseases.

• Journal of the Korean Operations Research and Management Science Society
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• v.33 no.2
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• pp.1-16
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• 2008

The purpose of this paper is to propose a new binary classification method for predicting corporate failure based on genetic algorithm, and to validate its prediction power through empirical analysis. Establishing virtual companies representing bankrupt companies and non-bankrupt ones respectively, the proposed method measures the similarity between the virtual companies and the subject for prediction, and classifies the subject into either bankrupt or non-bankrupt one. The values of the classification variables of the virtual companies and the weights of the variables are determined by the proper model to maximize the hit ratio of training data set using genetic algorithm. In order to test the validity of the proposed method, we compare its prediction accuracy with ones of other existing methods such as multi-discriminant analysis, logistic regression, decision tree, and artificial neural network, and it is shown that the binary classification method we propose in this paper can serve as a premising alternative to the existing methods for bankruptcy prediction.

• Journal of the Korea Society for Simulation
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• v.27 no.1
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• pp.51-60
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• 2018

This study aims to understand crucial factors affecting user's Fintech payment service adoption. On the basis of innovation diffusion theory and prior Fintech literature, this study classifies the influence factors of users' adoption of Fintech payment service into two dimensions - service dimension containing complexity, perceived benefit, trust in service provider and user dimension containing personal innovativeness and security breach experience. The data analysis results using binary logistic regression shows the negative direct effects of perceived risk, complexity, security accident experience on user's service adoption are statistically significant. Personal innovativeness has a positive effect on user's Fintech payment service adoption. The moderation effect of security accident experience is also significant at p<0.05.

• Women's Health Nursing
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• v.16 no.3
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• pp.245-254
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• 2010

Purpose: This study was designed to identify the predictors of elderly women's intention to report elder abuse. Methods: A cross-sectional survey design was used. The participants were 204 elderly women aged over 60 living in Seoul. Data were collected using self-reported questionnaires by convenience sampling. Data were analyzed with frequencies, $x^2$ test, t-test and binary logistic regression. Results: Logistic regression analyses showed perception of elderly welfare law, perception of seriousness of elder abuse, subjective economic status, and exposure to elder abuse information were significant predictors of elderly women's intention to report elder abuse. Conclusions: The results of study suggest that the provision of information related to elder abuse including elderly welfare law is crucial toward elderly women in preventing elder abuse.

• The Korean Journal of Community Living Science
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• v.27 no.1
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• pp.67-81
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• 2016

Responsible tourism has become an established area of the tourism industry. This study aims to identify the factors that influence re-participation in responsible tourism in rural Korea. On-site survey was conducted on 436 tourists by seven responsible tourism agencies in Korea. The motivation for responsible tourists was categorized into seven types: family togetherness, escape and relaxation, personal growth, social interaction, various experiences, learning, and natural experience. The estimation of a binary logistic regression model determined the characteristics of responsible tourists who are most likely to opt for re-participation in responsible tourism. Results indicated that important factors for re-participation in responsible tourism were 'age', 'educational level', 'accompany', 'length of stay', and 'motivation'. The results implied that tourists' internal and external factors are important for re-participation in responsible tourism. It is expected that this study will contribute to the market expansion of responsible tourism.

• International Journal of Human Ecology
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• v.10 no.1
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• pp.61-74
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• 2009

This study identified the health, academic attainment, violence and abuse factors on predicting the conduct development and emotional symptoms in 'looked after children' placement. A sample of 1,543 children was interviewed regarding emotional and behavioral symptoms and risk factors. Logistic regression was used to assess whether selected variables predicted emotional and behavioral symptoms in 'looked after children'. All placement, health, academic, violence, and abuse factors differentiated behavioral and emotional symptom differences according to selected variables. Binary logistic regression indictors of conduct behavior symptom among 'looked after children', included gender, age, placement, health, violence, and abuse. Placement, health, reading ability, violence, and witnessing domestic violence further predicted emotional and behavioral symptoms. These findings highlight multidimensional approaches to address various vulnerability indicators that have a direct application to prevention and intervention efforts to designed for emotional and behavioral problems among children in public care.