• Title/Summary/Keyword: Risk management factors

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Factors Associated With Obstructive Pattern Spirometry In Shipyard Workers (조선소 근로자들의 폐쇄성 폐기능 저하와 관련된 요인)

  • Kim, Jahyun;Kim, Young Wook;Chae, Chang Ho;Son, Jun Seok;Kim, Chan Woo;Lee, Jun Ho;Park, Hyung Wook;Cho, Byung Mann
    • Journal of Korean Society of Occupational and Environmental Hygiene
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    • v.25 no.4
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    • pp.525-533
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    • 2015
  • Objectives: Alongside smoking, occupational exposure is an important risk factor for chronic obstructive pulmonary disease. The purpose of this study was to evaluate factors associated with occupational pulmonary function decline that can be used to create guidelines for the health management of shipyard workers Materials: This study analyzed spirometry from 10,597 male shipbuilding workers. Functional decline in spirometry was defined as FEV1/FVC <70% and logistic regression for work duration and occupational hazard exposure was performed Results: Among the subjects, 4.2% showed an obstructive pattern in pulmonary function. The odds ratios for hazard exposure were 1.67(indirect) and 3.54(direct), and for work duration 1.97(10-18 years), 2.29(19-27), and 5.02(28+). After adjusting for smoking and work-related factors, the odds ratios for work durations of over 10 years were 1.73(10-18 years), 1.99(19-27), and 4.09(28+), but for hazards exposure was 1.71(direct) alone after adjustment. Conclusions: Occupational COPD is insidious and chronic, and thus long-term hazard exposed(especially over 10 years) shipyard workers with functional decline in spirometry need to prevent and manage COPD. This study is important for establishing guidelines to manage hazard exposure among shipyard workers and prevent COPD.

Comparative Analysis of Work Stress Assessment Tools for Estimating Human Work Performance (업무수행도 추정을 위한 직무스트레스 평가표의 비교 분석)

  • Jang, Tong-Il;Lee, Yong-Hee;Han, Kyu-Jeong;Lim, Hyeon-Kyo
    • Journal of the Korean Society of Safety
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    • v.29 no.6
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    • pp.144-150
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    • 2014
  • A man is a component of a large system how complex it may be so that human performance which can influence on the system safety should be included in system safety assessment. Meanwhile, human performance can vary over time due to lots of factors. Among them, stress is an indirect factor that may cause human error which can result in industrial accidents. To assess stress level of human workers, not a few assessment tools have been developed. However, it can be questionable to utilize them for human performance anticipation because they were mainly developed with the viewpoint of mental health, though stress assessment can be also required in the safety aspect. Therefore, this study aimed to survey the possibility of their application with safety purpose. About 10 kinds of work stress tools were collected and analyzed with reference to assessment items, assessment and analysis methods, and follow-up measures. The results showed that most tools focused their weights on Demands, Supports, and Relationships, in sequence. However, they, except only one tool developed by the Japanese researchers, merely advised to set up counterplans in PDCA cycle or risk management activities. In consequence, application of stress assessment tools mainly developed for mental health seemed impractical for safety purpose with respect to human performance anticipation so that it was concluded that development of a new assessment tools aimed to human performance variation and accident prevention would be inevitable.

Risk Factors Associated with Cataract and Macular degeneration by in Korean aged 60 years and over (한국인 60세 이상 노년층의 황반변성과 백내장의 위험요인 -국민건강보험공단 노인코호트 자료를 활용하여-)

  • Pak, Hae-Yong;Lee, Eun-Hee;Pak, Yun-Suk
    • Journal of the Korea Convergence Society
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    • v.8 no.10
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    • pp.273-279
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    • 2017
  • Purpose: This study was conducted to identify factors associated with cataract and age-related macular degeneration in elders. Methods: In total, 341,588 men(44.18%,) and women(61.887%), aged over 60, were recruited from Korean National Health Insurance Service-Senior(2002-2013). We also analysed the factors which determine the prevalence of contract (ICD-10: H25) and age-related macular degeneration(ICD-10: H353) using Cox proportional hazard regression model Results: The subjects who were women, in older age, the group of higher income level, with hypertension, with heart disease, and with diabetes, the prevalence of both contract and age-related macular were increased(p<0.0001). Conclusion: The prevalence of contract and age-related macular degeneration were higher in old age of Korean who has chronic diseases such as hypertension, heart disease, and diabetes. The management of chronic diseases are essentially required in elderly for more healthy eye in aged society.

A Suggestion on the Traffic Flagger System in Japan (일본 교통유도 경비제도의 시사점)

  • Kim, Il-Gon
    • Proceedings of the Korea Contents Association Conference
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    • 2010.05a
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    • pp.200-203
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    • 2010
  • The obstructive factors of the smoothly running traffic are street improvement, major commercial buildings like department stores, the large markets, the stadiums, the concert buildings, a lot of steady cars for using parking lot. The accident of cost many lives and traffic congestion from these factors cause the result that it enables to pay the enormous expenditure socially and financially. For solving these problems, Japan adopts the Traffic Flagger System in 1972. This task has the effects of improving traffic flow in the traffic jam and mitigating risk of car accidents as leading pedestrians and vehicles thereby the task carries into effect in the area where the accident took place. Moreover, this security task is rapid growth after adopting and 59.6%(5,317) of the whole security company 8,924 in Japan based on December 2009 registered as the traffic leading security business. While South Korea is demanded of the measures about obstructive factors of the smoothly running traffic, it represents the limitation of the system and the safety management. Thus the current study suggests the we will analyze South Korea's actual condition and then discuss the law and education system for a realizable plan reached the public-Private cooperation for adopting Japan's Traffic Leading Security System.

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The Relationship of Self-rated Health Condition to Stress Recognition, Health Related Habits, Serum Biochemical Indices, and Nutritional Intakes in Korean Healthy Adults (건강한 성인의 주관적 건강상태와 스트레스 인지, 건강 관련 습관, 혈청 생화학 지표 및 영양 섭취와의 관계)

  • Yoon, Ji Hyun;Lee, Ru Zi;Kim, Mi Joung
    • The Korean Journal of Food And Nutrition
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    • v.30 no.1
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    • pp.83-95
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    • 2017
  • This study examined the socioeconomic factors that affect self-rated health (SRH) in healthy adults, and the relationship of SRH to health-related habits, serum biochemical indices, and nutritional intakes. Subjects consisted of 1,154 healthy adults without any known disease, aged 19 to 65 years (average age of 36.7), whose information was obtained from the 2013 Korean National Health and Nutritional Examination Survey data. Of these subjects, 73 rated themselves as 'very healthy,' 460 indicated that they were 'healthy,' 568 self-identified as 'ordinary', and 53 put themselves in the 'unhealthy' category. The proportion of subjects who chose 'unhealthy' was significantly increased with higher frequencies of disruptions in their daily lives (p<0.05), regret after drinking (p<0.05), smoking (p<0.001), and higher levels of stress (p<0.001). On the other hand, the proportion of subjects reported as 'very healthy' was significantly higher with regular intense (p<0.001) or moderate physical activities (p<0.05), regular walking (p<0.05), a perception of being 'normal' in their body image (p<0.01), a decrease of body weight more than 3 kg in the past year (p<0.05), and without risk factors for metabolic syndrome (p<0.05). Serum triglyceride level was lower, and 25-(OH) vitamin D content was significantly higher, in the 'very healthy' group as compared to the 'unhealthy' group (p<0.05). Dietary fiber and vitamin C intakes were significantly higher in the 'very healthy' group than 'unhealthy' group (p<0.05). The overall results suggest that a healthy lifestyle, including regular exercise, non-smoking, good stress management, and higher intakes of fiber and vitamin C, may be potential factors that affect one's positive perception of health.

Medication-related osteonecrosis of the jaw: a preliminary retrospective study of 130 patients with multiple myeloma

  • Choi, Woo-Sung;Lee, Jae-Il;Yoon, Hyun-Joong;Min, Chang-Ki;Lee, Sang-Hwa
    • Maxillofacial Plastic and Reconstructive Surgery
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    • v.39
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    • pp.1.1-1.7
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    • 2017
  • Background: Multiple myeloma (MM) is characterized by a neoplastic proliferation of plasma cells primarily in the bone marrow. Bisphosphonates (BP) are used as supportive therapy in the management of MM. This study aimed to analyze the incidence, risk factors, and clinical outcomes of medication-related necrosis of the jaw (MRONJ) in MM patients. Methods: One hundred thirty MM patients who had previous dental evaluations were retrospectively reviewed. Based on several findings, we applied the staging and treatment strategies on MRONJ. We analyzed gender, age, type of BP, incidence, and local etiological factors and assessed the relationship between these factors and the clinical findings at the first oral examination. Results: MRONJ was found in nine male patients (6.9%). The mean patient age was 62.2 years. The median BP administration time was 19 months. Seven patients were treated with a combination of IV zoledronate and pamidronate, and two patients received single-agent therapy. The lesions were predominantly located in the mandible (n = 8), and the most common predisposing dental factor was a history of prior extraction (n = 6). Half of the MRONJ were related to diseases found on the initial dental screen. Patients with MRONJ were treated with infection control and antibiotic therapy. When comparing between the MRONJ stage and each factor (sign, location, etiologic factor, BP type, treatment, and outcome), there were no significant differences between stages, except for between the stage and sign (with or without purulence). Conclusions: For prevention of MRONJ, we recommend routine dental examinations and treatment prior to starting BP therapy.

Human Error Probability Assessment During Maintenance Activities of Marine Systems

  • Islam, Rabiul;Khan, Faisal;Abbassi, Rouzbeh;Garaniya, Vikram
    • Safety and Health at Work
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    • v.9 no.1
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    • pp.42-52
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    • 2018
  • Background: Maintenance operations on-board ships are highly demanding. Maintenance operations are intensive activities requiring high man-machine interactions in challenging and evolving conditions. The evolving conditions are weather conditions, workplace temperature, ship motion, noise and vibration, and workload and stress. For example, extreme weather condition affects seafarers' performance, increasing the chances of error, and, consequently, can cause injuries or fatalities to personnel. An effective human error probability model is required to better manage maintenance on-board ships. The developed model would assist in developing and maintaining effective risk management protocols. Thus, the objective of this study is to develop a human error probability model considering various internal and external factors affecting seafarers' performance. Methods: The human error probability model is developed using probability theory applied to Bayesian network. The model is tested using the data received through the developed questionnaire survey of >200 experienced seafarers with >5 years of experience. The model developed in this study is used to find out the reliability of human performance on particular maintenance activities. Results: The developed methodology is tested on the maintenance of marine engine's cooling water pump for engine department and anchor windlass for deck department. In the considered case studies, human error probabilities are estimated in various scenarios and the results are compared between the scenarios and the different seafarer categories. The results of the case studies for both departments are also compared. Conclusion: The developed model is effective in assessing human error probabilities. These probabilities would get dynamically updated as and when new information is available on changes in either internal (i.e., training, experience, and fatigue) or external (i.e., environmental and operational conditions such as weather conditions, workplace temperature, ship motion, noise and vibration, and workload and stress) factors.

Analyzing the effects of emotional states on the metabolic syndrome risk factors in Korean adolescents (감성요인이 국내 청소년 대사증후군 위험요인에 미치는 영향)

  • Jeon, Hyeon Gyu;Won, Jong Yoon;Lee, Kun Chang
    • Journal of Digital Convergence
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    • v.17 no.10
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    • pp.359-372
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    • 2019
  • Metabolic syndrome is deeply related with risks of chronic disease and mortality. Furthermore, the metabolic syndrome disorder in childhood and adolescence usually tends to lead to a number of cardiovascular disease in the stage of adulthood. In this sense, metabolic syndrome needs to be investigated seriously. The purpose of this study is therefore to prove the relationship between dietary habits(high carbohydrate, high calorie) and metabolic syndrome among adolescents. We also aim to clarify the relationship between emotional factors perceived by adolescents and metabolic syndrome. Our empirical results based on KNHANES dataset significantly demonstrates that the HDL-cholesterol is a decisive factor for the diagnosis of metabolic syndrome disorder. Additionally, emotional experience factors such as stress also show significant effects in difference of adolescents' metabolic syndrome.

Influencing Factors on Health Behavior Compliance in Men Who Underwent Percutaneous Coronary Intervention: Focusing on the Elapsed Period (관상동맥중재술을 받은 남성의 건강행위 이행에 미치는 영향요인: 경과기간을 중심으로)

  • Ha, Haeng-Ju;Seo, Minjeong
    • Journal of Digital Convergence
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    • v.19 no.12
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    • pp.661-673
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    • 2021
  • This study is a descriptive study to understand the effect on the health behavior compliance of men who got coronary intervention, focusing on the elapsed period. The subjects of this study were 249 men who underwent coronary intervention at a university hospital, and the collected data were analyzed using Stepwise multiple regression. As a result of the study, the influencing factors the implementation of healthy behaviors were self-regulation(β=0.35, p<.001), risk factors among educational request(β=-0.26, p<.001), and the elapsed period(β=0.19, p<.001), marital status(β=0.15, p=.001), educational level(β=-0.12, p=.035), and the total explanatory power was 29.1%. IIn order to increase the health behavior performance of male patients who underwent coronary intervention, it is necessary to develop a program that can strengthen the autonomous motivation of subjects with high severity and elapsed time of less than 1 year and more than 1 year.

Investigating Non-Laboratory Variables to Predict Diabetic and Prediabetic Patients from Electronic Medical Records Using Machine Learning

  • Mukhtar, Hamid;Al Azwari, Sana
    • International Journal of Computer Science & Network Security
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    • v.21 no.9
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    • pp.19-30
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    • 2021
  • Diabetes Mellitus (DM) is one of common chronic diseases leading to severe health complications that may cause death. The disease influences individuals, community, and the government due to the continuous monitoring, lifelong commitment, and the cost of treatment. The World Health Organization (WHO) considers Saudi Arabia as one of the top 10 countries in diabetes prevalence across the world. Since most of the medical services are provided by the government, the cost of the treatment in terms of hospitals and clinical visits and lab tests represents a real burden due to the large scale of the disease. The ability to predict the diabetic status of a patient without the laboratory tests by performing screening based on some personal features can lessen the health and economic burden caused by diabetes alone. The goal of this paper is to investigate the prediction of diabetic and prediabetic patients by considering factors other than the laboratory tests, as required by physicians in general. With the data obtained from local hospitals, medical records were processed to obtain a dataset that classified patients into three classes: diabetic, prediabetic, and non-diabetic. After applying three machine learning algorithms, we established good performance for accuracy, precision, and recall of the models on the dataset. Further analysis was performed on the data to identify important non-laboratory variables related to the patients for diabetes classification. The importance of five variables (gender, physical activity level, hypertension, BMI, and age) from the person's basic health data were investigated to find their contribution to the state of a patient being diabetic, prediabetic or normal. Our analysis presented great agreement with the risk factors of diabetes and prediabetes stated by the American Diabetes Association (ADA) and other health institutions worldwide. We conclude that by performing class-specific analysis of the disease, important factors specific to Saudi population can be identified, whose management can result in controlling the disease. We also provide some recommendations learnt from this research.