• Korean Journal of Psychosomatic Medicine
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• v.17 no.2
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• pp.52-61
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• 2009

Objectives : The aim of this study was to assess health-related quality of life and evaluate the risk factors affecting severity of menopausal symptoms in early and late postmenopausal women based on the stages of reproductive aging workshop(STRAW) paradigm. Methods : This cross-sectional study examined 497 Korean postmenopausal women aged 41-59 years in Seoul and Gyeonggi province. We divided subjects into early postmenopause group and late postmenopause group. Menopause Rating Scale(MRS) was used to measure the quality of life. MRS scores, sociodemographic variables, smoking, alcohol use, age at menopause, and risk factors such as attitude to menopause, depression, history of premenstrual dysphoric disorder were compared between early and late postmenopause groups. Multiple regression analysis was performed in each group to assess the independent contribution of several variables. Results : Early postmenopause group showed significantly higher MRS scores, more negative attitude toward menopause, higher scores of depressive symptoms than late postmenopause group. Moderate to very severe hot flush group showed significantly, more negative attitude toward menopause, higher score of depressive symptoms, and higher MRS scores than none to mild hot flush groups. Depressive symptoms and attitude toward menopause contributed to the severity of menopausal symptom in both early and late postmenopause groups. Chronological age, age at menopause, history of PMDD contributed to severity of menopausal symptoms in early postmenopause group while marital status and occupation contributed in late postmenopause group. Conclusion : Health-related quality of life in postmenopause women was significantly lower in early postmenopause group than the late. Attitude toward menopause and depressive symptoms contributed significantly to quality of life in both early and late postmenopause groups but other variables contributed differently in each group. Further studies on clinical samples of postmenopausal women in order to confirm quality of life and its risk factor are needed to be done.

• Journal of Korean Society of Transportation
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• v.27 no.3
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• pp.17-28
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• 2009

To analyze the risk according to accident types by novice and experienced drivers, it is used the accidents data which occurred for 2 years(2005~2006) in Korea. It is defined that novice driver is a people who is not passed 1 year after getting a driving licence and experienced driver is a people who is passed 1 year in this study. It is used a risk model to compare and analyze about the risk between two groups. The risk model is developed to apply together two variables which is accidents frequency and severity. Then it is used a conceptual weight to find that proper rate between accident frequency and fatal accident frequency. It is found a weight($\omega=0.6$) to suitable value to apply a risk model. The results showed that collision with obstacles, angle collision($90^{\circ}$) types to novice driver group have bigger risk than experienced driver group.

• Pediatric Gastroenterology, Hepatology & Nutrition
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• v.17 no.2
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• pp.80-84
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• 2014

Clostridium difficile infection has been increasing since 2000 in children and in adults. Frequent antibiotics use, comorbidity, and the development of hypervirulent strains have increased the risk of infection. Despite the high carriage rates of C. difficile, infants rarely develop clinical infection. Discontinuing antibiotics and supportive management usually leads to resolution of disease. Antibiotics use should be stratified depending on the patient's age and severity of the disease.

• Korean Management Science Review
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• v.11 no.3
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• pp.153-167
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• 1994

Credibility theory has provided with a useful tool the assignment of weighting factor that reflects the credibility of the observed individual and collective experience to secure fair experience rate-,making. We review credibility models which can effectively estimate risk premiums using credibility theory, and suggest an empirical Bayed model based on the collective statistics to estimate the structural parameters. To illustrate the use of evolutionary models, the models are applied to the actual data, such as loss ratio, claim frequencies and severity, in the Korean automobile insurance. Also the possibilities of generalizations and applications of empirical models are discussed.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• v.37 no.1
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• pp.1-8
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• 2011

Introduction: The utility of the C-terminal cross-linking telopeptide test (CTX) as a method for staging Bisphosphonate-related osteonecrosis of the jaws (BRONJ) and its healing process was examined. Materials and Methods: A total 19 patients who were diagnosed with BRONJ underwent a fasted morning CTX test, were enrolled in this study. The serum CTX values ranged from 50 to 630 pg/mL (mean 60). The risk assessment was rated according to the CTX values of the individual patient (minimal risk, ${\geq}$ 150 pg/mL, moderate, 100 to 150 pg/mL, high, ${\leq}$100 pg/mL). The BRONJ scores were then calculated according to the number of BRONJ lesions and their stage. The operation was done as soon as possible, regardless of BORNJ stage. Results: The mean duration of bisphosphonate therapy was 4.1 years. Of the 19 patients, 15, 2 ans 2 received alendronate, risedronate and zoledronate, respecively. Of the 19 patients who underwent a sequestrectomy, saucerization and smoothing, 15 healed after the initial surgery, 1 patient healed after one more surgical procedure, 3 patients did not heal completely but showed improvement in symptoms. Therefore, 17 out of the 19 patients healed completely with complete mucosal coverage and the elimination of pain. The risk assessment using the CTX value and disease severity were not correlated (r=-0.264, P=0.275). In addition, the risk assessment using CTX value and healing after surgery were not correlated (r=-0.147, P=0.547). Conclusion: The serum CTX should be considered carefully by clinicians as part of overall management. Early surgical intervention is of benefit in the treatment of stage II BRONJ.

• Information Systems Review
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• v.17 no.3
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• pp.39-64
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• 2015

As information and information technology become more important in competitive corporate environments, the risk of information security breaches has increased accordingly. Although organizations establish security measures to manage information security risks, members of organizations do not comply with them well, and their information security behavior intention is unclear. Therefore, to understand the information security risk management intention of the members of organizations, the present study developed a research model using Protection Motivation Theory, Supervisory Authority Pressure, and Background factors. This study presents empirical research findings based on the analysis of survey data from 201 members of financial institutions. Perceived Severity, Self-efficacy, and Supervisory Authority Pressure had a positive effect on intention; however, Perceived Vulnerability and Response Efficacy did not affect intention. Security Avoidance Habit, which was considered a background factor, had a negative effect on all parameters, and did not have an effect on intention. Security Awareness Training, another background factor, had a positive effect on information security risk management intention and perceived vulnerability, self-efficacy, response efficacy, and supervisory authority pressure, and had no effect on perceived severity. This study used supervisory authority pressure and background factors in the field of information security, and provided a basis to use supervisory authority pressure in future studies on behavior of organizations and members of an organization. In addition, the use of various background factors presented the groundwork for the expansion of protection motivation theory. Furthermore, practitioners can use the study findings as a foundation for organization's security activities, and to improve regulations.

• Journal of Food Hygiene and Safety
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• v.26 no.2
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• pp.91-99
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• 2011

Risk ranking must be determined for various hazards/food combinations to conduct microbial risk management effectively. Risk Ranger is a simple, easy-to-use calculation tool developed in Microsoft Excel and designed to rank the risk (low, medium, and high) for semi-quantitative microbial risk assessment. The user is required to answer 11 questions in Risk Ranger related to 1) severity of the hazard, 2) likelihood of a disease-causing dose of the hazard being present in the meal, and 3) the probability of exposure to the hazard in a defined time. This study determined the risk ranking for twenty three combinations of foodborne pathogens/potentially hazardous foods (PHFs) using a Risk Ranger. In this study, pathogenic E. coli in fresh cut produce salad was scored as 79, which was the highest rank among the 23 combinations of the foodborne pathogens and PHFs. On the other hand, zero risk was obtained with V parahaemolyticus in sushi, Salmonella in meat products and E. coli O157:H7 in hamburger patties. Although Risk Ranger is very simple method to rate the risk of foodborne pathogens and PHFs combination, the accuracy of result was mainly affected by the availability and accuracy of data in the literature. According to the result of literature review, the data are needed for contamination rate of raw materials, consumption amount/frequency of PHFs, and the effect of processing on pathogen. Risk ranking must be continuously revalidated with new data.

• Toxicological Research
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• v.28 no.2
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• pp.81-91
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• 2012

Many risk factors exist for chemotherapy-induced nausea and vomiting (CINV). This study utilized a multivariate projection technique to identify which risk factors were predictive of CINV in clinical practice. A single-centre, prospective, observational study was conducted from January 2007~July 2010 in Singapore. Patients were on highly (HECs) and moderately emetogenic chemotherapies with/without radiotherapy. Patient demographics and CINV risk factors were documented. Daily recording of CINV events was done using a standardized diary. Principal component (PC) analysis was performed to identify which risk factors could differentiate patients with and without CINV. A total of 710 patients were recruited. Majority were females (67%) and Chinese (84%). Five risk factors were potential CINV predictors: histories of alcohol drinking, chemotherapy-induced nausea, chemotherapy-induced vomiting, fatigue and gender. Period (ex-/current drinkers) and frequency of drinking (social/chronic drinkers) differentiated the CINV endpoints in patients on HECs and anthracycline-based, and XELOX regimens, respectively. Fatigue interference and severity were predictive of CINV in anthracycline-based populations, while the former was predictive in HEC and XELOX populations. PC analysis is a potential technique in analyzing clinical population data, and can provide clinicians with an insight as to what predictors to look out for in the clinical assessment of CINV. We hope that our results will increase the awareness among clinician-scientists regarding the usefulness of this technique in the analysis of clinical data, so that appropriate preventive measures can be taken to improve patients' quality of life.

• Journal of Veterinary Clinics
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• v.32 no.1
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• pp.78-84
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• 2015

Although researches have highlighted the important role of enhanced farm biosecurity to reduce the severity and prevalence of diseases in livestock, to date there has been little study in Korea on farmers' adoption of biosecurity measures to control porcine reproductive and respiratory syndrome virus (PRRSV) infection. To mitigate the risk of PRRSV infection in pigs, the risk factors by which PRRSV is introduced in pig farms must be determined. The primary aim of this study was to investigate pig producers' perceptions about on-farm biosecurity practices. We also analyzed data obtained from a cross-sectional study on 196 farrow-to-finish farms conducted between March 2013 and February 2014 to identify risk factors for PRRSV infection at farm level. Standardized questionnaires with information about basic demographical data and management practices were collected in each farm by on-site visit of trained veterinarians. Farms were classified as negative or positive through the use of infection profiles that combined data on PCR positive pigs and serological testing including antibody titer, sero-conversion pattern at each age category, and vaccination status. Data on biosecurity practices, farm management and environmental characteristics were analyzed using multivariate ordinal logistic regression. Generally, the biosecurity level in the pig farms included in this study were insufficient to reduce/prevent the risk of PRRSV infection given the high pig density areas and the considerable extent of vehicle movement. Factors associated with PRRSV infection were those where owners used on-farm vaccination programs had a lower risk of infection (OR = 0.19, 95% CI 0.06-0.61). The results from the analysis may guide to tailor biosecurity measures in the reduction or prevention of PRRS to the specific circumstances of pig farms in different localities of the world. To the best knowledge of the authors, this is the first study to report information on the biosecurity practices currently implemented on Korean pig farms.

• Journal of the Korean Society of Safety
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• v.32 no.5
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• pp.157-167
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• 2017

Millions of People die every year from diseases caused by exposure to outdoor air pollution. Especially, one of the most severe types of air pollution is fine particulate matter (PM10, PM2.5). South Korea also has been suffered from severe PM. This paper analyzes regional risks induced by PM10 and PM2.5 that have affected domestic area of Korea during 2014~2016.3Q. We investigated daily maxima of PM10 and PM2.5 data observed on 284 stations in South Korea, and found extremely high outlier. We employed extreme value distributions to fit the PM10 and PM2.5 data, but a single distribution did not fit the data well. For theses reasons, we implemented extreme mixture models such as the generalized Pareto distribution(GPD) with the normal, the gamma, the Weibull and the log-normal, respectively. Next, we divided the whole area into 16 regions and analyzed characteristics of PM risks by developing the FN-curves. Finally, we estimated 1-month, 1-quater, half year, 1-year and 3-years period return levels, respectively. The severity rankings of PM10 and PM2.5 concentration turned out to be different from region to region. The capital area revealed the worst PM risk in all seasons. The reason for high PM risk even in the yellow dust free season (Jun. ~ Sep.) can be inferred from the concentration of factories in this area. Gwangju showed the highest return level of PM2.5, even if the return level of PM10 was relatively low. This phenomenon implies that we should investigate chemical mechanisms for making PM2.5 in the vicinity of Gwangju area. On the other hand, Gyeongbuk and Ulsan exposed relatively high PM10 risk and low PM2.5 risk. This indicates that the management policy of PM risk in the west side should be different from that in the east side. The results of this research may provide insights for managing regional risks induced by PM10 and PM2.5 in South Korea.