• Asian Pacific Journal of Cancer Prevention
• /
• 제13권6호
• /
• pp.2717-2720
• /
• 2012

Background: The rates of breast cancer have increased over the past two decades, and this raises concern about physical, psychological and social well-being of women with breast cancer. Further, few women really want to do breast cancer screening. We here investigated the socio-demographic correlates of mammography participation among 400 asymptomatic Iranian women aged between 35 and 69. Methods: A cross-sectional survey was conducted at the four outpatient clinics of general hospitals in Tehran during the period from July through October, 2009. Bi-variate analyses and multi-variate binary logistic regression were employed to find the socio-demographic predictors of mammography utilization among participants. Results: The rate of mammography participation was 21.5% and relatively high because of access to general hospital services. More women who had undergone mammography were graduates from university or college, had full-time or part-time employment, were insured whether public or private, reported a positive family history of breast cancer, and were in the middle income level (all P<0.01).The largest number of participating women was in the age range of 41 to 50 years. The results of multivariate logistic regression further showed that education (95%CI: 0.131-0.622), monthly income (95%CI: 0.038-0.945), and family history of breast cancer (95%CI: 1.97-9.28) were significantly associated (all P<0.05) with mammography participation. Conclusions: The most important issue for a successful screening program is participation. Using a random sample, this study found that the potential predictor variables of mammography participation included a higher education level, a middle income level, and a positive family history of breast cancer for Iranian women, after adjusting for all other demographic variables in the model.

• 토지주택연구
• /
• 제13권3호
• /
• pp.57-68
• /
• 2022

본 연구는 서울시 무주택 취약계층 2030가구를 대상으로 향후 청년주거지원 정책의 이용의사에 영향을 미치는 중요 요인과 그 인과관계를 규명하여 시사점 제시하고자 한다. 특히, 가구특성과 정책특성 변수를 포괄적으로 분석 모형에 적용하여 최근의 상황에서 청년계층의 주거불안 상황을 반영하고자 하였다. 연구의 방법으로 로지스틱 회귀분석 모델을 사용하였으며, 주요 분석결과는 다음과 같다. 연령이 낮을수록, 경제활동을 하는 청년인 경우, 원룸에 거주하는 경우, 월세로 사는 경우, 코로나 시기 고용부문 상황이 나아진 경우, 청년주거지원정책을 인지하고 있던 경우 주거지원정책에 향후 이용의사가 있을 확률이 높은 것으로 나타났다. 연구의 시사점으로 기존의 청년 주거지원 사업에 대해서 더욱 강화하고 확대할 필요성이 있다. 또한 청년 주거지원 정책들에 대한 정보전달 체계를 효율화하고 사회초년 청년계층을 위한 정교한 주거지원정책이 필요하다.

• 대한통합의학회지
• /
• 제12권2호
• /
• pp.155-166
• /
• 2024

Purpose : This study aims to identify key factors for predicting dropout risk at the university level and to provide a foundation for policy development aimed at dropout prevention. This study explores the optimal machine learning algorithm by comparing the performance of various algorithms using data on college students' dropout risks. Methods : We collected data on factors influencing dropout risk and propensity were collected from N University. The collected data were applied to several machine learning algorithms, including random forest, decision tree, artificial neural network, logistic regression, support vector machine (SVM), k-nearest neighbor (k-NN) classification, and Naive Bayes. The performance of these models was compared and evaluated, with a focus on predictive validity and the identification of significant dropout factors through the information gain index of machine learning. Results : The binary logistic regression analysis showed that the year of the program, department, grades, and year of entry had a statistically significant effect on the dropout risk. The performance of each machine learning algorithm showed that random forest performed the best. The results showed that the relative importance of the predictor variables was highest for department, age, grade, and residence, in the order of whether or not they matched the school location. Conclusion : Machine learning-based prediction of dropout risk focuses on the early identification of students at risk. The types and causes of dropout crises vary significantly among students. It is important to identify the types and causes of dropout crises so that appropriate actions and support can be taken to remove risk factors and increase protective factors. The relative importance of the factors affecting dropout risk found in this study will help guide educational prescriptions for preventing college student dropout.

• 한국식품영양학회지
• /
• 제37권3호
• /
• pp.162-170
• /
• 2024

The domestic swine industry is currently facing a threat due to the recent increase in pork imports. This study aims to determine what factors influence consumers' intention to consume imported pork and suggest measures to support the domestic pork industry. To achieve this, we analyzed data from the Korea Rural Economic Institute's Food Consumption Behavior Survey using a binary logistic regression model. The results revealed that a higher intention to consume imported pork is linked to a higher intention to consume imported rice, purchasing meat online, frequent purchases of HMR, and procuring U.S. beef, especially among urban residents. On the other hand, a lower intention to consume imported pork is associated with a higher awareness of animal welfare certification, frequently dining out, and older age. Based on these findings, we propose the following response measures for the domestic swine industry: implementing educational programs, marketing, and advertising specifically targeting urban residents to improve their perception of domestic agricultural products; enhancing price competitiveness through distribution optimization; and developing policies to promote the use of domestic pork as an ingredient in processed foods.

• 한국ITS학회 논문지
• /
• 제13권3호
• /
• pp.96-106
• /
• 2014

급속한 경제발전으로 인한 차량중심의 도로교통정책으로 보행자 환경은 상대적으로 열악해졌고, OECD 회원국 평균 보행자 사고율은 17.8%인데 비하여 우리나라는 36.4%의 높은 보행자 사고율을 기록하였다(2009년 기준). 보행환경 개선을 위한 관심이 증가하고 있으며, 보행을 보장하고 안전하게 보행할 수 있는 환경을 만들기 위한 노력을 기울이고 있다. 이에 본 연구는 보행자 안전성 증진을 위하여 집 앞 도로, 즉 집 분산도로를 포함할 수 있도록 폭원 9m 미만 도로에 대하여 분석을 수행하였다. 이분형 로지스틱회귀모형을 사용하였으며, 종속변수는 폭원 9m 미만 도로에서 발생한 교통사고 여부, 독립변수는 교통사고 자료에서 얻을 수 있는 변수를 추출하였다. 폭원 9m 미만 도로 내 교통사고에 영향을 미치는 변수로는 운전자가 직진 중 일 때, 운전자가 여성일 때, 보행자가 차도로 통행 중일 때, 자전거 운전 중 일때 등의 순으로 나타났다. 이를 예방하기 위해 폭원 9m 미만 도로에 직진차량 속도저감 기술, 교통약자 보호, C-ITS를 이용한 안전한 보행환경 조성 등 노력을 기울여야 한다.

• Ocean Science Journal
• /
• 제43권4호
• /
• pp.175-182
• /
• 2008

Bottlenose dolphins are the only cetaceans regularly observed in the northern Adriatic Sea, but they survive at low densities and are exposed to significant threats. This study investigates some of the factors that influence habitat use by the animals in a largely homogeneous environment by combining dolphin data with hydrological and physiographical variables sampled from oceanographic ships. Surveys were conducted year-round between 2003 and 2006, totalling 3,397 km of effort. Habitat modelling based on a binary stepwise logistic regression analysis predicted between 81% and 93% of the cells where animals were present. Seven environmental covariates were important predictors: oxygen saturation, water temperature, density anomaly, gradient of density anomaly, turbidity, distance from the nearest coast and bottom depth. The model selected consistent predictors in spring and summer. However, the relationship (inverse or direct) between each predictor and dolphin presence varied among seasons, and different predictors were selected in fall. This suggests that dolphin distribution changed depending on seasonal forcing. As the study area is relatively uniform in terms of bottom topography, habitat use by the animals seems to depend on complex interactions among hydrological variables, caused primarily by seasonal change and likely to determine shifts in prey distribution.

• Journal of Microbiology and Biotechnology
• /
• 제18권6호
• /
• pp.1156-1163
• /
• 2008

We performed RT-nested PCR to study the distribution of human enteric viruses in urban rivers in Korea. During 2002-2003, water samples were collected from four rivers in Gyeonggi Province, South Korea. Among 58 samples, 45 (77.6%), 32 (55.2%), 12 (20.7%), 2 (3.4%), 4 (6.9%), and 4 (6.9%) showed positive results with adenoviruses (AdVs), enteroviruses (EVs), reoviruses (ReVs), hepatitis A viruses (HAVs), rotaviruses (RoVs), and sapoviruses (SVs), respectively. According to the binary logistic regression model, the occurrence of each enteric virus, except ReVs and HAVs, was not statistically correlated with the water temperature and levels of fecal coliforms (P<0.05). AdVs were most often detected; only 4 samples (6.9%) were negative for AdVs while positive for other enteric viruses in the studied sites. Our results indicated that monitoring human enteric viruses is necessary to improve microbial quality, and that AdVs detection by PCR can be a useful index for the presence of other enteric viruses in aquatic environments.

• 보건행정학회지
• /
• 제24권3호
• /
• pp.271-282
• /
• 2014

Background: Although the mortality rate in cancers has been decreased recently, it is still one of the leading causes of death in most of the countries. This study analyzed the relationship between surgery volume and in hospital mortality of cancer patients. The purpose of this study is to investigate the relationship in Korean healthcare environment and to provide information for the policy development in reducing cancer mortality. Methods: The study sample was the 20,517 cancer patients who underwent surgery and discharged during a month period between 2008-2011. The data were collected in Patient Survey by Korean Institute of Social Affairs. Logistic regression was used to analyse a comprehensive analytic model that includes a binary dependent variable indicating death discharge and independent variables such as surgery volume, organizational characteristics of hospitals, socio-economical characteristics of the patients, and severity of disease indicators. Results: In chi-square test, as the surgery volume increases, the in-hospitals mortality showed a downward trends. In regression analysis, the relationship between surgery volume and mortality showed significant negative associations in all types of cancer except for pancreatic cancer. Conclusion: In the absence of other information patients undergoing cancer surgery can reduce their risk of operative death by selecting a high-volume hospital. Therefore, policies to enhance centralization of cancer surgery services should be considered.

• 수산해양교육연구
• /
• 제28권4호
• /
• pp.1076-1088
• /
• 2016

This study was to validate the WSBS_PECT (Workplace Spirituality Belief Scale for Prospective Early Childhood Teacher) using discriminant analysis on prospective early childhood teachers' happiness and career maturity. The data from 523 prospective early childhood teachers were analyzed statistically through t-test and binary logistic regression model. The results indicated that 1) the higher group in workplace spirituality belief significantly gets more scores of happiness and career maturity than the lower group, 2) 1 factors of the WSBS_PECT has discriminant power on prospective early childhood teachers' happiness, and 3) 2 factors ('meaning for life' and 'belief on calling for ECE teacher job') of the WSBS_PECT are effective to discriminate prospective early childhood teachers' career maturity. Further statistical works are supplementary needed to validate the WSBS_PECT and to increase its' feasibility.

• International Journal of Internet, Broadcasting and Communication
• /
• 제11권2호
• /
• pp.1-10
• /
• 2019

Research classification of software modules was done to validate the approaches proposed for addressing limitations in existing classification approaches. The objective of this study was to replicate the experiments of a recently published research study and re-evaluate its results. The reason to repeat the experiment(s) and re-evaluate the results was to verify the approach to identify the faulty and non-faulty modules applied in the original study for the prioritization of test cases. As a methodology, we conducted this study to re-evaluate the results of the study. The results showed that binary logistic regression analysis remains helpful for researchers for predictions, as it provides an overall prediction of accuracy in percentage. Our study shows a prediction accuracy of 92.9% for the PureMVC Java open source program, while the original study showed an 82% prediction accuracy for the same Java program classes. It is believed by the authors that future research can refine the criteria used to classify classes of web systems written in various programming languages based on the results of this study.