• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.8
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• pp.3804-3814
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• 2013

This study examined the fitness of a structural model on the relationship among biological risk disposition, sociocultural risk factors, self-control, social support, and suicidal ideation for woman adolescents. Data were collected from December 3, 2012 to March 28, 2013 by questionnaires from 343 middle and high school students in the D metropolitan city. The data was analyzed by the SPSS and AMOS programs. Biological risk disposition, sociocultural risk factors, self-control, and social support showed a direct effect on suicidal ideation for woman adolescents, while biological risk disposition and sociocultural risk factors showed an indirect effect on suicidal ideation for woman adolescents. Biological risk disposition and sociocultural risk factors showed a direct effect on self-control and social support for woman adolescents. Based on the outcomes of this study, it is necessary to design an intervention program that emphasizes the reducement of biological risk disposition, sociocultural risk factors and enhancement self-control and social support in order to prevention woman adolescents' suicidal ideation.

• Journal of Haehwa Medicine
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• v.22 no.1
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• pp.201-216
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• 2013

The purpose of this case-control study was to show the relationship between risk factor(Sex, Age, Martial Status, Educational Periods, Family history, Variables of Obesity, Smoking Status, Drinking Status, Past History, Blood Test) and the incidence of stroke. Methods: 788 stroke patients were enrolled as the case group and 450 non-stroke patients as control group from Sep.2006 to Dec.2010. Patients were hospitalized within 30 days after the onset of stroke. Risk factors and warning signs were obtained from personal interview by oriental medicine doctors who used CRF. Results: 1. Age was found to have significant relation with stroke(p<.0001). 2. Martial status(p<.0001, OR=0.44) and educational periods(p<.0001) were both significant risk factor for stroke. 3. As a result of reviewing the influence of family history, it was found to have no significant relation with stroke. Stroke was found to have significant relation with stroke(OR=1.50). 4. Female waist circumference(WC, p<.0001) and female waist-hip circumference ratio(WHR, p<.0001) were risk factors for stroke. On the other hand, male WC and male WHR showed no significant influence on stroke occurrence as an independent risk factor. 5. Both smoking status(p<.0001, current smoker OR=8.95) and drinking status(p<.0001, current drinker OR=2.50, former drinker OR=2.82) were significant risk factors for stroke. 6. As a result of reviewing the influence of past history, transient ischemic attack(p<.0001, OR=8.46), hypertension(p<.0001, OR=4.72), hyperlipidemia(0.0064), diabetes mellitus(p<.0001, OR=3.34), stroke(p<.0001, OR=50.26) were significant risk factors. On the other hand, ischemic heart disease(p=0.2332) was found to have no significant relation with stroke. 7. Increase of WBC, RBC, Platelet, TG, FBS and Cl- level were significant risk factor of stroke, On the other hand, decrease of Hgb, Hct, AST, HDL-chol, LDH, Na+ and K+ level were significant risk factor of stroke. T-chol and ALT level showed no significant influence on stroke occurrence.

• Journal of Environmental Health Sciences
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• v.35 no.4
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• pp.269-277
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• 2009

Objective : The objective of this study was to examine how experts and the public perceived various environmental and technological hazards based on psychometric paradigm. Methods : We conducted a survey that included 30 hazards and 10 risk attributes. Subjects of this study were 214 people with three groups; (1) experts (55 people), (2) graduates( 78 people), (3) under graduates (81 people). Factor analysis was used to confirm the common risk attribute from 8 risk attributes. Also, multiple regression analysis was used to identify factors influencing on perceived risk and benefit of hazards. Results : This study revealed that experts tend to be more tolerant than graduates and under graduate students for the 30 hazards. Using factor analysis, two main factors were identified: factor 1, commonly called "Dread Risk", and factors 2, commonly called, "Unknown Risk" in the literature. We identified that environmental hormone concentration and global warming ranked high in both dread risk and unknown risk. Multiple regression models were used to test the association of perceived social risk and perceived social benefit with two main factors. Dread risk had significant explanatory power on perceived social risk and benefit. We identified that the experts were less likely to perceived dread risk and know more information about the hazards. Conclusions : There were differences of risk perception between experts and lay people. Especially, experts' perception of risk was commonly lower than other people's perception.

• Journal of the Korea Institute of Building Construction
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• v.10 no.4
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• pp.83-93
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• 2010

With construction projects continuously becoming more massive and complex, risk factors have been consistently increasing. To achieve a successful project, it is very important to identify and cope with such risk factors. Therefore, the purpose of this study is to suggest plans of reducing risk, not only for describing the drafting process for construction planning but also for systematically organizing constraints and risk factors in earth work, foundation work and reinforced concrete construction. To achieve these objectives, this study 1) analyzes previous theories about risk classification structure, 2) performs a case study of an actual project to embody the problems of safety management by analyzing the results of an interview with a construction engineer. In conclusion, the following factors were systematically organized: 1) characteristics of construction site (purpose, structure, floor, etc.); 2) the actual application conditions of the main construction methods; 3) the relationship between constraints and risk factors.

• The Journal of Internal Korean Medicine
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• v.28 no.4
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• pp.850-862
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• 2007

Background : Cerebrovascular disease is a major cause of death and disability in adults. Silent cerebral infarction (SCI) portends more severe cerebral infarction or may lead to insidious progressive brain damage resulting in vascular dementia. Known cardiovascular risk factors, such as arterial hypertension, diabetes mellitus, smoking, hyperlipidemia and ischemic heart disease may increase the risk of SCI. This study was designed to evaluate the risk factors of SCI in an apparently normal adult population. Methods : We divided 340 neurologically normal adults (mean age=59.90$\pm$8.30, men:women = 146:194) who underwent brain computed tomography (CT) or magnetic resonance imaging (MRI) at the Stroke Medical Center in Daejeon University Oriental Medicine Hospital in two groups, Silent inf. and Controls,and analyzed risk factors of SCI by interview, physical examination and blood test. Risk factors of SCI were assessed by interview, physical examination and blood test. We performed Pearson's chi-square test and two-sample t-test for univariate analysis and multiple logistic regressions for multivariate analysis to evaluate risk factors of SCI. Results : Old age, diabetes mellitus, and high lactate dehydrogenase (LDH) levels were associated with SCI on univariate analysis. Diabetes mellitus was demonstrated to be an independent risk factor for SCI on multivariate analysis. Conclusions : Advanced age, diabetes mellitus, and LDH levels are associated with SCI.

• Journal of Preventive Medicine and Public Health
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• v.39 no.6
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• pp.447-454
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• 2006

Objectives : To determine obesity for the screening of individuals at high risk of coronary heart disease in urban areas. Methods : Data were obtained from 4,137 adults between 19 and 85 years of age (2,372 males, 1,765 females), not recognized as taking medicines for cardiovascular diseases, who underwent a health check-up at the health promotion center of university hospitals in cities between Jan. 2003 and Dec. 2004. The variables studied were divided into two broad categories, and their relationships examined. obesity indices and risk factors for coronary heart disease. To reveal the relation between each of the obesity indices and the proportion of individuals at risk of coronary heart disease, the obesity indices were stratified and odds ratios obtained after age adjustment. Results : From a gender comparison of anthropometric measures, men were found to have significantly greater heights, weights, and waist and hip circumferences than women. From a gender comparison by the obesity indices, women were found to have significantly higher BMI, %Fat, waist to hip and waist to stature ratios than men. As obesity indices, the waist to stature ratio and the waist circumference were strongly correlated with coronary risk factors, both in men and women. The age-adjusted odds ratio of coronary risk factors increased significantly with increasing waist circumference, BMI, %fat, waist to hip and waist to stature ratios, and were highest specifically for the waist to stature ratio and the waist circumference. Conclusions : The study results showed that the waist to stature ratio and the waist circumference, as obesity indices, were most closely correlated with coronary risk factors. It is suggested that the waist to stature ratio and, specifically, the waist circumference can be effectively used in the field of health management for screening those with high levels of coronary risk factors.

• Journal of Korean Physical Therapy Science
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• v.9 no.1
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• pp.25-36
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• 2002

Objectives: This study was conducted to find out risk factors related to elderly hip fracture, so that the result could provide basic data to establish prevention programs for hip fracture among the elderly. Methods: The data were collected from 199 cases hospitalized in 4 university hospitals in Pusan from January, 1996 to December, 1998, 193 healthy controls who visited elderly facilities in Pusan. The data were obtained from medical records and by using questionnaires through telephone contact or direct personal interview with the subjects or their family, and were analyzed for 2-test and multiple logistic regression. The risk factors were shown with odds ratios and their 95% confidence intervals. Results: In univariate analysis, the odds ratio of hip fracture risk was estimated to be 1.9 for the elderly aged 75 years as compare with those aging less than 65 years; 42 for those with job as compared with those without job; 3.3 for those with more than 6 children as compared with those with one or two children. For the variables related to physical characteristics, small height (p=0.015), light weight (p=0.000), and low BMI (p=0.014) were risk factors for elderly hip fracture. Sane variables related to health, such as previous history of illness (OR=3.3.), abnormal blood pressure (OR=1.6), previous fracture history (OR=22), lower limbs weakness (OR=12.1) and gait disturbance (OR=42.6), were significantly associated with the risk of hip fracture. In multiple logistic regression, risk factors for hip fracture were age, having job, lower limb weakness and previous history of illness. The adjusted odds ratios of hip fracture risk among the elderly were age (OR=1.1), having jobs (OR=11.7), weak lower limb (OR=10.8) and previous history of illnesses (OR=3.3), respectively. Conclusion: This study suggests that the plan for improving the daily living environment for the elderly systematically should be implemented to avoid the chances of fall, and that programs encouraging to practice regular exercise for physical activity and to promote health of the elderly should be developed.

• 한국노년학
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• v.38 no.4
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• pp.1107-1125
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• 2018

The purpose of this study was to present the empirical data for the prevention of suicide by analyzing the group differences according to the types of risk factors and protective factors of family members living with dementia patients and the effects of each type on suicidal ideation. This study investigated the characteristics of suicidal ideation among family members of people living with dementia by using a community health survey. It then investigated the effect of each latent group on the suicidal ideation of family members of people living with dementia. Twenty-four risk and protective factors on suicide ideation were analyzed by using Mplus. The four latent classes were high risk - low protective, high risk - high protective, low risk - high protective and low risk - low protective. Multivariate logistic regression analysis showed that the high risk-low protective factor group had the highest suicidal ideation. Based on these results, practical implications and challenges were presented.

• Journal of The Korean Society of Integrative Medicine
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• v.12 no.2
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• pp.155-166
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• 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.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2014.11a
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• pp.212-213
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• 2014

The purpose of this study is to suggest analysis model of RCB construction in nuclear power plant. For the objective, This study drew the risk factors of RCB construction from existing literature. The results of the study proposed analysis model made hierarchy in rebar, form, and concrete work. These will be baseline data for risk management in construction project of nuclear power plant.