• 보건의료산업학회지
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• 제5권2호
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• pp.77-89
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• 2011

This study conducted a secondary analysis by using original data of performed by Korea Institute for Health and Social Affairs to know factors affecting determinants of health using Lalonde model for the adults aged over 19 years living in Korea. The survey was conducted in 2009 and it evaluated finally 5,867 cases by excluding cases with no answer or a wrong answer. This study model adopted two categories of instrument measure health were objective (Average remaining lifetime) and subjective(EQ-5D) health status. The health determinants included in this study could be divided in to four categories, which were human biology, environment, lifestyle, and health care organization. The results were as follows. In the factors affecting average remaining lifetime, human biology were sex, ages, BMI, showed statistically significant difference, environment category were merry status, education showed statistically significant difference, lifestyle category were exercise, drunks showed statistically significant difference and health care organization category were vaccination, health screening showed statistically significant difference. In the factors affecting EQ-5D, human biology category and health care organization category showed with same average remaining lifetime, environment category were merry status, education, income showed statistically significant difference and lifestyle category were exercise, drunks, stress showed statistically significant difference. The results demonstrated that the best powerful factor was life style category and environment category, the least factor was health care organization category. So lifestyle style and environment category should be considered for the future health plan, budget allocation and the priority in the health care.

• Wind and Structures
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• 제30권6호
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• pp.663-678
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• 2020

Robust semi-active vibration control of wind turbines using tuned mass dampers (TMDs) is a promising technique. This study investigates a 1.5 megawatt wind turbine controlled by eight different types of tuned mass damper systems of equal mass: a passive TMD, a semi-active varying-spring TMD, a semi-active varying-damper TMD, a semi-active varying-damper-and-spring TMD, as well as these four damper systems paired with an additional smaller passive TMD near the mid-point of the tower. The mechanism and controllers for each of these TMD systems are explained, such as employing magnetorheological dampers for the varying-damper TMD cases. The turbine is modelled as a lumped-mass 3D finite element model. The uncontrolled and controlled turbines are subjected to loading and operational cases including service wind loads on operational turbines, seismic loading with service wind on operational turbines, and high-intensity storm wind loads on parked turbines. The displacement and acceleration responses of the tower at the first and second mode shape maxima were used as the performance indicators. Ultimately, it was found that while all the semi-active TMD systems outperformed the passive systems, it was the semi-active varying-damper-and-spring system that was found to be the most effective overall - capable of controlling vibrations about as effectively with only half the mass as a passive TMD. It was also shown that by reducing the mass of the TMD and adding a second smaller TMD below, the vibrations near the mid-point could be greatly reduced at the cost of slightly increased vibrations at the tower top.

• 보건행정학회지
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• 제19권4호
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• pp.1-17
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• 2009

The purpose of this study was to find factors affecting health of the rural residents. The data were collected from a sample of 2,587 people aged from 40 to 70 in the year 2005-2006, Wonju City and Pyeongchang County, Gangwon-do, Korea. The theoretical model adopted in this study was the Lalonde's health field(human biology, environment, lifestyle, and health care organization). SF-12 was used to measure subjective health status. In the category of human biology, men were healthier than women. Age and BMI showed negative relation to health status. Income, education and social support showed positive relation to health status in the environment category. In the category of life style, stress showed negative relation to health status. Medical expenses showed negative relation to health status in the category of health care organization. After converting SF-12 score to percentage score, the health determinants portions were 47% lifestyle, 26% environment, 18% human biology and 9% health care organization. These findings suggest that life style, environment and biology are main factors in determinants of health. Especially stress in the life style category is more focused for the community health promotion. We also may be able to improve income, education and social support in the environment category with self empowerment efforts, community supports and government helps. Finally greater attention must be payed to life style in the future health planning and budget allocation priority in the healthcare area.