- The relationship between the utilization of health center and exposed amount to solvent by using cumulative exposure index.
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Ju Won Park, Soon Young Lee, Jae Yeon Jang, Kyung Jong Lee, Ho Grun Jeong
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Korean J Prev Med. 1998;31(3):404-413.
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- This study was conducted in order to clarify the factors affecting the number of utilization to health center for the shipyard workers who have been work in exposed environment to solvent. At first the tendencies of the number of utilization to health center in accordance with cumulative exposure(CE), lifetime weighted average exposure(LWAE), one's place of duty, work contents, states of using safety apparatus, the degree of the knowledge on handling solvents, exposure year. 1) The increase in the cumulative exposure(CE) was significantly higher in the number of utilization to health center. The group with longer exposure year showed significantly higher number of utilization to health center(p<0.01). Considering the work contents such as power blasting, spray, mixing and touch-up, the group of touch-up showed higher number of utilization to health center and this difference was statistically significant(p<0.001). Those who were not using the safety apparatus, showed higher number of utilization to health center, which was statistically significant(p<0.05). The degree of the knowledge on handling the solvent had no relation with using health center. 2) The results conducted from this study by multiple regression analysis in clarifying the factors affecting the number of utilization to health center, CE, exposure year and using safety apparatus was significant factor in utilization of health center.
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Summary
- A Study on Major Health Components of National Health Examination Survey in Korea.
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Soon Young Lee, Hae Kyung Kim, Ju Won Park, Seung Soo Shim
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Korean J Prev Med. 1998;31(2):167-182.
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- The purpose of this study was to identify the major health components and measurements to be conducted in National Health Examination Survey(KNHES). The prevalence and severity of disease, acceptability of population and the possibility, of standardization of measurement were considered as guideline for selecting the components. On the base of magnitude and severity of disease, chronic liver disease, hepatic cancer, gastric ulcer, stomach cancer, essential hypertension, cerebrovascular disease, ischemic heart disease, pulmonary tuberculosis, lung cancer, DM, breast cancer, cervical cancer, arthritis and intervertebral disc disorder were selected as the preliminary target diseases. Questionnaire survey for 648 persons in 'K' city and medical specialists in five clinical societies were conducted for evaluating the acceptability of general population for the measurements and the possibility of standardization for the procedures. In conclusion, the major target diseases were chronic liver disease, hypertension and DM and the total cholesterol, high density lipoprotein, triglyceride, total protein, albumin, hemoglobulin, hematocrit, platlet count, anti-HBs, HBsAg, height and weight were selected for basic physical components.
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- Health Behavior Patterns of Korean.
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Soon Young Lee, Seon Woo Kim, Ju Won Park
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Korean J Prev Med. 1997;30(1):181-194.
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- The purpose of this study was to identify population subgroups with similar patterns of diet quality, physical activity, alcohol consumption and cigarette smoking of Korean. The cluster analysis was conducted using the data from Korea National Health Survey(KNHS) in 1995, which consisted of 5,805 persons. We identified six health behavior typologies: 32.9% of the sample had a good diet but sedentary activity level(good diet lifestyle), 7.2% had high activity level but less diet quality(fitness lifestyle). Individuals in the passive lifestyle cluster(39.1%) had no active health promoting activities but tended to avoid risk taking health behavior such as cigarette smoking and alcohol drinking. 1.1% of the sample were in a drinking cluster, 17.2% in a smoking cluster and 2.5% had a hedonic lifestyle characterized by heavy drinking and smoking. The other characteristics of these lifestyle clusters could be presented by demographic and socioeconomic factors.
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