• The Journal of Korean Physical Therapy
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• v.28 no.5
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• pp.259-263
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• 2016

Purpose: This study was conducted to investigate the prevalence and risk of gout in healthy workers. Methods: This cross-sectional analysis was conducted in 1,876 subjects (1,515 men and 361 women) enrolled in the Healthy Worker Cohort Study at Daegu, South Korea. Relationships between serum uric acid levels and independent risk factors were evaluated using multiple linear regression analysis after adjustment for covariates. Results: Among study participants, the prevalence of gout was 22.9% in men and 2.5% in women (based on a serum uric acid level >7.0 mg/dL for men and >6.0 mg/dL for women). Among men, increased ALT, GGT, total cholesterol, and triglycerides were associated with increased risk of gout (p<0.05) by multiple linear regression analysis; however, increased age and HDL-cholesterol/triglyceride ratio were associated with decreased risk of gout (p<0.05). In women, increased triglycerides were associated with increased risk of gout (p<0.05). Conclusion: Our findings suggest that increased triglycerides were significantly associated with the risk of gout in men and women. Moreover, a high HDL-cholesterol/triglyceride ratio in men may reduce the risk of gout.

• Women's Health Nursing
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• v.11 no.1
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• pp.46-51
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• 2005

Purpose: The aim of this study was to identify risk factors for breast cancer and early screening behavior in women in the community. Method: The participants were 125 women residing in W city. Data was collected using an instrument developed by the researchers. Analysis was done using descriptive statistics, and the $x^2$ test. Result: For risk based on the Gail Model, age (above 50 years) had a distribution of 24.8%, first degree family history, 4.9%, age at first full term pregnancy, 13.8%, and benign breast cancer history, 4.9%. For risk based on other common risk factors, menopause had a distribution of 20.7%, did not breast feed, 15.4%, history of HRT, 7.3%, meat preference, 35.0%, and history of smoking or drinking, 2.4% and 43.5%, respectively. There was a significant difference in BSE and mammography screening behavior ($x^2=22.5$, p<.00), but no difference in distribution of risk factors and screening behavior. Conclusion: For effective prevention of breast cancer, it is necessary to develop an instrument for risk assessment and, through assessment, select women at high risk. It is also necessary to provide education and appropriate recommendations on screening behavior.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.15 no.2
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• pp.83-89
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• 2005

This study aims to compare a self-reported and expert-observed method on ergonomic risk factors of Work-related Musculoskeletal Disorders (WMSDs). The checklist was developed based on the results of previous studies, and the symptoms of WMSDs were obtained using a self-reported questionnaire from 1,029 shipyard workers. The risk factors were assessed through the self-report by workers and video analysis by ergonomists. The symptom prevalence at the low back (59.2%), shoulders (50.8 %), and knees (49.7%) were relatively higher than those at other body parts. Odds ratios (ORs) by body parts were 2.48 to 2.90 for the risk job, and the ORs were significantly different from those of the low risk job. The risk factor scores by body parts between workers and ergonomist were very high correlation(r=0.82 to 0.92). The rates of self-report from risk job were 54.0% (elbow and arm) to 72.1 % (low back), but sometimes overestimated(105.7 to 122.6%) than those by ergonomists. The checklist, developed in this study, will be an efficient tool for the evaluation of risk jobs using self-report by workers.

• Journal of the Korea Safety Management & Science
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• v.26 no.2
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• pp.79-86
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• 2024

Scientific exploration of how occupational health risks relate with occupational illnesses are essential for mitigating health-related issues in industries. This study analyzed the risk scores obtained by occupational health risk assessments at 3,172 manufacturing companies and examined their effects on occupational illness. Statistical analyses revealed that companies with an occupational health manager (scored 89.1 out of 100) had significantly higher activity scores of health management compared to those without (78.2). However, companies with a history of occupational illness (79.1) or those classified as high-risk industries (85.2) had significantly lower activity scores than their counterparts (81.7, 87.3). In addition, regression analyses using factor analysis showed that latent risk factors such as cardiovascular disease/job stress, health management, and musculoskeletal problem significantly influenced the risk of occupational illness. The activity factors such as health management, work environment management, and regulatory complaisance significant impacted the reduction of occupational illness. The findings of this study can be used to improve the occupational health risk assessment method and utilized in effectively managing occupational risks in industries.

• Journal of the Korean Geotechnical Society
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• v.39 no.6
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• pp.5-12
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• 2023

Proactive assessment of landslide susceptibility is necessary for minimizing casualties. This study proposes a methodology for classifying the landslide safety factor using a classification algorithm based on machine learning techniques. The high-risk area model is adopted to perform the classification and eight geotechnical parameters are adopted as inputs. Four classification algorithms-namely decision tree, k-nearest neighbor, logistic regression, and random forest-are employed for comparing classification accuracy for the safety factors ranging between 1.2 and 2.0. Notably, a high accuracy is demonstrated in the safety factor range of 1.2~1.7, but a relatively low accuracy is obtained in the range of 1.8~2.0. To overcome this issue, the synthetic minority over-sampling technique (SMOTE) is adopted to generate additional data. The application of SMOTE improves the average accuracy by ~250% in the safety factor range of 1.8~2.0. The results demonstrate that SMOTE algorithm improves the accuracy of classification algorithms when applied to geotechnical data.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.10
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• pp.5195-5199
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• 2012

Objectives: Global cancer statistical data show that India has one of the highest incidence rates of oral cancer worldwide. Early detection is extremely important as it results in lower morbidity and death rates. The present study was undertaken to assess awareness of oral cancer and knowledge of its early signs and risk factors in the general public of the semi-urban Gorakhpur area of Uttar Pradesh (India). It was also intended to educate the same population for early detection by increasing their ability to recognize signs and risk factors. Method: A questionnaire-based household survey was conducted over a period of one month in different parts of Gorakhpur district, a region where tobacco use is apparently very high. A total of 2,093 persons participated in the survey. The collected data were analyzed using SPSS software to assess and associate oral cancer awareness with the prevalence, and abstract risk factors, as well as other confounding variables. Results: The general awareness, knowledge of signs and risk factors of oral cancer were found to be proportionate to the literacy level with the highest rate of awareness being among high school and graduates and lowest among illiterates. It was also observed that on most of these dimensions the younger age groups (<30 years) were significantly more knowledgeable. Conclusion: Overall, the awareness of oral cancer in the high-risk population of Gorakhpur was not satisfactory, pointing to a need for further dissemination of information on this issue and its associated risks. This is especially important for the youngsters, as this may possibly help them keep away from the deleterious habit of tobacco indulgence in any form. If necessary risk factor cessation counselling should be provided.

• Journal of Korean Biological Nursing Science
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• v.21 no.3
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• pp.224-230
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• 2019

Purpose: This study aimed to investigate sex differences in the effect of body mass index (BMI) and stress on high-risk diabetes mellitus (DM). Methods: Secondary analysis of data from 4,271 male and female adults participating in the Sixth Korea National Health and Nutrition Examination Survey 2015 was performed. The participants were evaluated using questionnaires and blood tests. Data were analyzed using descriptive statistics, t-test, ${\chi}^2-test$, and multiple logistic regression analysis (SPSS 24.0). Results: To identify sexspecific effects, interaction variables were included. Hemoglobin A1c (HbA1c) level was higher in men than in women, and the risk of DM decreased 0.31 times in women compared to that in men. As age increased, the odds of risk DM increased 1.03. The risk of DM increased 1.99 times in overweight individuals and 2.79 times for obese individuals compared to that in individuals with normal weight. Stress levels were higher in women than in men, but stress is not an influential factor in high-risk DM. In age-sex interaction, the odds of risk DM increased 1.02 in women compared to that in men as age increased. Conclusion: HbA1c level was affected by age-sex interaction, and age and sex should be considered in the application of HbA1c in the diagnosis of DM.

• Journal of Korea Society of Industrial Information Systems
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• v.24 no.1
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• pp.45-63
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• 2019

The number of domestic construction company is expanding every year while the construction workers' exposure to disaster risk is increasing due to technological advancements and popularity of high-rise buildings. In particular, the industry faces greater fatalities and severe large scale accidents because of construction industry characteristics including influx of foreign workers with different language and culture, large number of aged workers, outsourcing, high place work, heavy machine construction. The construction industry is labor-intensive, which is to be completed under given timeline and consists of unique working environment with a lot of night shifts. In addition, when a fixed construction budget is not secured, there is less investment in safety management resulting in poor risk management at the construction site. Taking account that the construction industry has higher accident risk rate and fatality rate, risky and unique working environment, and various labor pool from foreign to aged workers, preemptive safety management through risk factor identification is a mandatory requirement for the construction industry and site. The study analyzes about 8,500 cases of construction accidents that occurred over the past 10 years and identified risk factor by construction industry sector to secure a systematic insight for risk management. Based on interrelation analysis between accident types, work types, original cause materials and assailing materials, there is correlation between each analysis factor and work industry. Especially for work types, there is great correlation between work tasks and industry type. For reinforced concrete and earthwork are among the most frequent types of accidents, and they are not only high in frequency of accidents, but also have a high risk in categories of occurrence.

• Child Health Nursing Research
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• v.12 no.3
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• pp.341-350
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• 2006

Purpose: The purpose of this study was to describe high-risk health behaviors in middle school adolescents and to identify factors related to this behavior. Method: This survey study employed a self administered questionnaire given to 621 students enrolled in one middle school located in Gyeonggi province. Using the cluster sampling method, 4 classes from the 7th, 8th, and 9th grades were selected. The survey was done between April 20 and May 19, 2004. Data were analyzed using SAS. Result: The results showed that 19.1% of adolescents smoked cigarettes and 8.4 % drank regularly. The mean score for resilience was 6.92 (range:0-10) and for depression, 23.62 (range:0-50). The adolescents in higher grades reported significantly more experience with pornography. Also, adolescents who reported have fewer conversations with their parents had significantly more experience with pornography. Depression was significantly higher for those students who had better academic skills and higher family income. Resilience level was significantly higher for the students who reported better schools records and higher family income. The most important factor related to the high risk behaviors, depression, and resilience was conversations with parents. Conclusion: This study suggests that to develop an effective high-risk health behavior prevention program for adolescents, it is necessary to include communication skills with the parents.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.2 no.2
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• pp.93-120
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• 2007

To promote the commercialization of high technology based start-up company, it is essential to activate technology trading for the Innovative Small & Medium companies which eager to acquire technology competitiveness through technology trading and facilitate financial system which provide Small & Medium companies with technology commercialization money. This study focus on enhancing credibility of technology valuation solutions through the improvement of the existing technology valuation solutions. The existing technology valuation solutions in practice have deficiency in reasonable valuation because of subjective technology factor's calculation. And the commercialization risk of high technology based start-up companies cannot be fully reflected in the existing valuation solutions. The high risk of technology commercialization acts as a hurdle in the facilitation of providing money for the start-up companies. The improved new model will have more acceptable objectivity and reasonably reflect the commercialization risk of start-up companies. The new model has two distinctive features compared to existing solutions. The new model newly adopts commercialization success factor which reflects the risk of high technology based start-up company. And the new model excludes technology factor which is controversial among interested parties. The exclusion of technology factor will improve the objectivity of technology valuation and the adoption of commercialization success factor will solicit investor and capitalist who concern the high risk of technology based start-up companies. In conclusion, the improved new model is expected to activate technology trading and facilitate the money market through which high technology based start-up companies raise commercialization money.