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1.
Korean Journal of Occupational and Environmental Medicine ; : 112-122, 2006.
Article in Korean | WPRIM | ID: wpr-152025

ABSTRACT

OBJECTIVES: This study was carried out to improve the medical surveillance program of workers exposed to asbestos by examining the usefulness of High Resolution Computed Tomography (HRCT) in the diagnosis of asbestos-related lung disease. METHODS: The study subjects comprised 162 workers in a ship-repairing yard, 68 of whom had been directly exposed to asbestos and 94 indirectly exposed. The 'Occupational Safety & Health Administration (OSHA) asbestos standard, medical surveillance program' and HRCT were conducted to analyze the aspects of the asbestos-related lung disease. The OSHA asbestos standard, medical surveillance program consists of simple chest x-ray, spirometry and medical questionnaire. RESULTS: Seventeen (10.5%) of the 162 subjects, 10 (14.7%) directly exposed and 7 (7.4%) indirectly exposed, revealed asbestos-related lung disease on HRCT. The sensitivity and specificity of simple chest x-ray for asbestos-related lung disease were 70.6% and 98.6%, and the positive and negative predictive values were 85.7% and 96.6% respectively, as compared with HRCT. HRCT was an effective diagnostic tool especially to detect early asbestos-related lung disease. The study results indicated a relative significant association between the results of spirometry and HRCT. The variables significantly associated with asbestos-related lung disease on HRCT were work duration, smoking history (pack-years), past history of respiratory disease, cough and dyspnea. CONCLUSIONS: In the diagnosis of asbestos-related lung disease, HRCT should be considered not only for workers with positive findings on simple chest x-ray, but also workers with specific findings on spirometry, occupational history, smoking history, and past history of respiratory disease, or with respiratory symptoms such as cough and dyspnea.


Subject(s)
Asbestos , Cough , Diagnosis , Dyspnea , Lung Diseases , Lung , Surveys and Questionnaires , Sensitivity and Specificity , Smoke , Smoking , Spirometry , Thorax , United States Occupational Safety and Health Administration
2.
Korean Journal of Occupational and Environmental Medicine ; : 129-137, 2005.
Article in Korean | WPRIM | ID: wpr-172718

ABSTRACT

OBJECTIVES: The aims of this study were to investigate the factors affecting the fatigue and stress in male manufacturing workers. METHODS: A questionnaire investigating general characteristics, lifestyle factors, job characteristics, fatigue and stress was distributed to 896 subjects. From 851 respondents, 11 responses with insufficient data were excluded. The data were analyzed to investigate the factors affecting personal fatigue and stress. RESULTS: Among the general characteristics, both fatigue and stress in the older group were significantly lower than in the younger group (p<0.05). Fatigue in the group with higher education was significantly higher than in the group with only high school education (p<0.05). The group who lived alone had significantly more stress (p<0.05). Among lifestyle factors, people who exercised regularly had significantly lower fatigue and stress than those who did not (p<0.05). Fatigue was negatively correlated with decision latitude, supervisor support, and coworker support. Stress was positively correlated with job demand and negatively correlated with decision latitude, supervisor support, and coworker support. Fatigue and stress were positively correlated with each other. Multiple linear regression analysis showed that among job characteristic factors, coworker support affected fatigue while job demand and supervisor support affected stress. CONCLUSIONS: Fatigue and stress were positively correlated, but the job characteristics that affected each were different. This suggests that for effective management of fatigue and stress, the details of job characteristics need to be considered individually for the intervention and prevention of fatigue and stress.


Subject(s)
Humans , Male , Data Collection , Education , Fatigue , Life Style , Linear Models , Surveys and Questionnaires
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