• Journal of the Korea Institute of Building Construction
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• v.13 no.4
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• pp.424-433
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• 2013

There have been few attempts made to perform a systematic analysis of the various risk influence factors in building development projects. This study suggests an analysis of the risk influence factors in the process of feasibility studies for apartment building development projects. To reflect the voice of professionals, surveys were carried out. In addition, an FD-AHP method was applied to identify the importance of the risk influence factors. Through the surveys, major risk factors were separately identified as direct and/or indirect elements. An analysis of risk influence factors supports an effective feasibility study of apartment building development projects.

• Journal of the Korean Society of Physical Medicine
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• v.18 no.2
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• pp.13-21
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• 2023

PURPOSE: This study examined the specific clinical risk factors in middle-aged men with age-related loss of skeletal muscle mass (ALSMM). METHODS: The present research analyzed the data from a cross-sectional study of 1,564 community-dwelling participants aged between 40 to 49 years old. The participants were screened for ALSMM. The study examined various risk factors, including age, height, weight, body mass index, waist circumference, skeletal muscle mass index, smoking and drinking status, systolic and diastolic blood pressure, fasting glucose levels, and triglyceride and cholesterol levels. RESULTS: The risk factors of ALSMM were height, body mass index, waist circumference, skeletal muscle mass index, systolic blood pressure, diastolic blood pressure, drinking status, fasting glucose, and triglyceride levels (p < .05). The weight, triglyceride, and smoking status variables were non-significant (p > .05). CONCLUSION: The risk factors for ALSMM among community-dwelling adults were determined. These results are expected to contribute to the existing literature on ALSMM and provide potential risk factors associated with the development of ALSMM in middle-aged males.

• Journal of the Korea Safety Management & Science
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• v.16 no.3
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• pp.101-110
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• 2014

This study tried to identify the effects of ergonomic risk factors for absence from work of fire fighters in Korea. A self-administered questionnaire was prepared for this study. The questionnaire consisted of several parts such as 'general information', 'work-related factors', 'physical & chemical risk factors', 'ergonomic risk factors', and 'absence information'. A total of 7,098 fire fighters participated in this study. The data obtained from the survey was mainly analyzed by logistic regression. A total of 856 out of 7,098 fire fighters experienced absence from work. The risk factors such as gender, age, marital status, education level, total work year, work area. position, job rotation, noise, dust, organic solvent, skin contact with chemical substance, toxic waste, regional vibration, manual material handling, continuous standing posture, awkward working posture were associated with absence from work. Specifically, awkward working posture and manual material handling from ergonomic risk factors were major risk factors for absence from work.

• Communications for Statistical Applications and Methods
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• v.28 no.4
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• pp.339-350
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• 2021

In medical research, the risk factors associated with human diseases need to be identified to predict the incidence rate and determine the treatment plan. Logistic regression analysis is primarily used in order to select risk factors. However, individuals who are unfamiliar with statistics outcomes have trouble using these methods. In this study, we develop a nomogram that graphically represents the numerical association between the disease and risk factors in order to identify the risk factors for delirium and to interpret and use the results more effectively. By using the logistic regression model, we identify risk factors related to delirium, construct a nomogram and predict incidence rates. Additionally, we verify the developed nomogram using a receiver operation characteristics (ROC) curve and calibration plot. Nursing home, stroke/epilepsy, metabolic abnormality, hemodynamic instability, and analgesics were selected as risk factors. The validation results of the nomogram, built with the factors of training set and the test set of the AUC showed a statistically significant determination of 0.893 and 0.717, respectively. As a result of drawing the calibration plot, the coefficient of determination was 0.820. By using the nomogram developed in this paper, health professionals can easily predict the incidence rate of delirium for individual patients. Based on this information, the nomogram could be used as a useful tool to establish an individual's treatment plan.

• Journal of Korean Biological Nursing Science
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• v.10 no.2
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• pp.121-130
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• 2008

Purpose: This study was undertaken to identify stroke risk with risk factors and knowledge of stork in women with prehypertension. Methods: A total of 46 pre-hypertensive women in urban area aged 44.8 (SD 11.4) yr old in average were selected by a convenient sampling. Demographic data, risk factors, and knowledge of stroke were assessed through face to face interview. Stroke risk scores were calculated based on points given to age, systolic blood pressure, smoking, DM, and heart disease in Framingham stroke risk score. Data were analyzed by SPSS WIN 12.0 using descriptive statistics, two sample t-test, and Pearson's correlation coefficient. Results: The mean systolic blood pressure of participants was 133.11 mmHg, and HDL cholesterol was lower than the recommended level, although rest of physiologic risk factors were within normal. Of the participants, 82% did not do regular physical activity and 75% did not control fat intake persistently. Mean stroke risk points and knowledge scores were 4.48 and 29.15, respectively, which were significantly different between women with and without persistent controlling fat intake. Conclusion: Results indicate stroke prevention intervention for prehypertensive women should address comprehensively modifying lifestyle as well as physiologic factors, and information focusing on stroke risk factors and warning symptoms.

• Korean Journal of Adult Nursing
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• v.25 no.2
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• pp.183-193
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• 2013

Purpose: The purpose of this study was to identify the prevalence and risk factors of sleep disturbance among community dwelling adults in Korea. Methods: Data were collected from nine hundred fifty nine adults dwelling in a metropolitan city in Korea. Subjects were older than 45 years, did not take medication for sleep problems on a regular basis, and did not work at night. The Pittsburgh Sleep Quality Index was used to collect data about sleep disturbance. Sociodemographic, life style, and health related factors were included as risk factors. Chi square test and logistic stepwise regression were used to identify the risk factors. Results: The prevalence of sleep disturbance was 13.1%. The significant risk factors were being female, age, number of toilet use at night, perceived health, and pain. Risk factors were somewhat different by gender. Emotional and job status were the risk factors only for men and menopausal status were for women. Conclusion: Prevalence of sleep disturbance in community dwelling adults in Korea was not greater than those dwelling in other countries. Females, older adults, the number of toilet use at night, perceived health, and pain were the most important risk factors for sleep disturbances. Gender was a factor in reported sleep disturbances. It might be useful to investigate the factors that contribute to the number of toilet use at night as this might have some underlying factors that could be corrected.

• Environmental Analysis Health and Toxicology
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• v.16 no.2
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• pp.85-95
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• 2001

This study was to investigate factors of risk perception on major environmental issues among general public and environmental experts in Korea. Structured questionnaire surveys were conducted to samples from general public and environmental experts during March and April, 2000. Total numbers of respondents were 773, general public and 353 experts. Analysis of the data showed that risk perception was correlated with health concern, environmental satisfaction, perception of environmental pollution, interest on the environmental issues, knowledge, experiences, and social-cultural consciousness, and so on. Overall environmental risk perception was affected by knowledge on environmental issues, experience of damage from environmental problems, sex and perception of environmental pollution. According to the results, environmental risk perception is not independent from social and psychological factors, and it may be desirable to consider the related factors in the process of risk communication for a more effective risk management or environmental policy.

• Journal of the Korea Institute of Military Science and Technology
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• v.15 no.2
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• pp.186-192
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• 2012

Noise is a major cause of hearing loss in the air base. There are lots of risk factors of hearing loss including noise, and hearing loss can be accelerated by combined effects of these risk factors. Here in, we reviewed risk factors of hearing loss, and analysed key risk factors inducing hearing loss in the air base. Risk factors exacerbating hearing loss with noise were mainly investigated in this research because noise could not be an avoidable risk factor in the air base. Analysed data will contribute to make green environment minimizing hearing loss of pilots and supporting personnels in the air base.

• Women's Health Nursing
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• v.26 no.4
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• pp.285-299
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• 2020

Purpose: This systematic review aims to identify factors associated with risk-reducing salpingo-oophorectomy (RRSO), including the uptake rate and decision timing, among women at high risk for hereditary breast and ovarian cancer (HBOC). Methods: We found 4,935 relevant studies using MEDLINE, Embase, CINAHL, and PsycINFO on July 6, 2020. Two authors screened the articles and extracted data. Twenty-four studies met the inclusion criteria. Quality assessment of articles was conducted using the Risk of Bias for Nonrandomized Studies tool. Results: Five types of factors were identified (demographic factors, clinical factors, family history of cancer, psychological factors, and objective cancer risk). The specific significant factors were older age, having child(ren), being a BRCA1/2 carrier, mastectomy history, perceived risk for ovarian cancer, and perceived advantages of RRSO, whereas objective cancer risk was not significant. The uptake rate of RRSO was 23.4% to 87.2% (mean, 45.2%) among high-risk women for HBOC. The mean time to decide whether to undergo RRSO after BRCA testing was 4 to 34 months. Conclusion: RRSO decisions are affected by demographic, clinical, and psychological factors, rather than objective cancer risk. Nonetheless, women seeking RRSO should be offered information about objective cancer risk. Even though decision-making for RRSO is a complex and multifaceted process, the psychosocial factors that may influence decisions have not been comprehensively examined, including family attitudes toward RRSO, cultural norms, social values, and health care providers' attitudes.

• Journal of Information Technology Applications and Management
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• v.21 no.4
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• pp.173-186
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• 2014

This study outlines possible risk factors in the SCM of a company and correlates risk assessment, the strategy of risk management, and the supply chain performance. The data is surveyed from an international Korean company and is analyzed by the structure equation model of actual proof. The research model verifies the correlation between the risk assessment, the strategy of risk management, and the supply chain performance as dependent variables after the risk factors of the SCM are defined as independent variables. The research shows that there are consecutive links among the risk factors of the SCM, the risk assessment, and the strategy of risk management. The strategy of risk management was conclusively determined to have an effect on supply chain performance. Therefore, improving the supply chain performance of a company requires the constructive process for risk management based on a correlation between risk assessment and the strategy of risk management.