• 대한물리의학회지
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• 제11권3호
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• pp.73-80
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• 2016

PURPOSE: The purpose of this study was to investigate the quality of life related to fall experiences in chronic stroke patients. METHODS: This cross-sectional study included 117 patients with stroke from 3 hospitals in D metropolitan city. General characteristics, including fall experiences and quality of life, were assessed through a face-to-face interviews conducted in a quiet place using a questionnaire. Measurement of quality of life in stroke patients was conducted using the Korean Stroke Specific Quality of Life Scale (SS-QOL). To identify the SS-QOL items related to fall experiences, the items of the SS-QOL were considered as independent variables, and the variables that were significantly different according to fall experiences were identified using a univariate analysis. A binary logistic regression was then performed using fall experiences as the independent variable. RESULTS: According to the univariate analysis, self help activities, social role, and upper extremity function were significantly lower in the fall group than that in the non-fall group (p<.05). The findings of the binary logistic regression confirmed that social roles and upper extremity function were the SS-QOL items that were related to fall experience in chronic stroke patients. CONCLUSION: These findings suggest that social roles and upper extremity function may be risk factors for fall experience in patients with chronic stroke.

• 한국보건간호학회지
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• 제21권2호
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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.

• 한국도로학회논문집
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• 제19권2호
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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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• 제22권6호
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• pp.1137-1143
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• 2011

본 연구의 목적은 비대면채널을 선호하는 고객 유형을 분석하여 비대면채널 전략과 관련된 유용한 시사점을 제공하는데 있다. 본 연구는 기존연구와 달리 보다 객관성을 확보할 수 있는 자료를 이용하였기 때문에 분석결과의 신뢰성이 높다는 차별성을 가지고 있다. 분석방법은 이분형 로지스틱 회귀분석을 사용한다. 연구 결과 남성, 저연령, 위험직종, 수도권, 외국사 고객이 비대면채널을 통계학적으로 유의하게 선호하는 것으로 나타났다. 이러한 결과를 볼 때 비대면채널의 활성화를 위해서는 여성 고객들에게 접근편의성 및 상품 이해도를 높이는 촉진활동이 필요하다. 또한 비대면채널의 수지개선을 위해서는 위험직종에 대한 언더라이팅 강화가 필요하다.

• 한국농공학회논문집
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• 제63권2호
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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.

• 한국병원경영학회지
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• 제26권4호
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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.

• Structural Engineering and Mechanics
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• 제91권3호
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• pp.279-289
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• 2024

The purpose of this study is to represent a useful alternative for the preliminary seismic vulnerability assessment of existing reinforced concrete buildings by introducing a statistical approach employing the binary logistic regression technique. Two different predictive statistical models, namely full and reduced models, were generated utilizing building characteristics obtained from the damage database compiled after 1999 Düzce earthquake. Among the inspected building parameters, number of stories, overhang ratio, priority index, soft story index, normalized redundancy ratio and normalized lateral stiffness index were specifically selected as the predictor variables for vulnerability classification. As a result, normalized redundancy ratio and soft story index were identified as the most significant predictors affecting seismic vulnerability in terms of life safety performance level. In conclusion, it is revealed that both models are capable of classifying the set of buildings being severely damaged or collapsed with a balanced accuracy of 73%, hence, both are able to filter out high-priority buildings for life safety performance assessment. Thus, in this study, having the same high accuracy as the full model, the reduced model using fewer predictors is proposed as a simple and viable classifier for determining life safety levels of reinforced concrete buildings in the preliminary seismic risk assessment.

• 한국경영과학회지
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• 제33권2호
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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.

• 한국시뮬레이션학회논문지
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• 제27권1호
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• pp.51-60
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• 2018

본 연구는 혁신확산이론과 관련 선행연구를 기반으로 사용자의 핀테크 결제 서비스 사용 영향요인을 서비스와 사용자 측면으로 분류하여 파악하고 인과관계를 실증 검증하였다. 사용자 수용에 영향을 미치는 서비스 특성으로 복잡성, 혜택, 서비스 제공자 신뢰와 인지된 위험을 서비스 특성으로, 개인 혁신성과 보안사고 경험을 사용자 특성으로 분류하여 연구모형을 구성하였다. 이항 로지스틱 회귀분석 결과 인지된 위험과 사용의 복잡성, 보안사고 경험은 사용자의 핀테크 수용에 부정적인 영향을 미치며 개인혁신성은 긍정적인 영향을 미치는 것으로 나타났다. 추가로 인지된 위험이 핀테크 서비스 수용에 미치는 부정적인 영향을 강화하는 보안사고 경험의 조절효과 역시 유의미하게 나타났다.

• 여성건강간호학회지
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• 제16권3호
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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.