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Kata kunci: Sindrom metabolik, kesehatan kerja, pekerja tambang.
Underground uranium mines pose physical hazards in the form of exposure to gamma radiation, radon gas and thoron. Uranium mine workers are at risk of getting lung cancer 3 to 6 times higher than the general public. To anticipate and control the risk from these exposures, a health risk assessment was carried out from the exposure to gamma, radon and thoron radiation in underground uranium mine workers. Measurements of gamma ray exposure and radon gas concentrations were carried out in the uranium exploration mine and around the workers' camp in the Kalan area, West Kalimantan. Gamma-ray measurements were carried out by gamma detector, while radon and thoron exposure were measured using a passive detector RADUET. As a result, the concentration of radon gas in the tunnel ranged from 188.84 to 495.86 Bq/m 3 (average 375.80 Bq/m 3 ) while thoron ranged from 58.07 to 340.73 Bq/m 3 (average 189.80 Bq/m 3 ). This value exceeds the reference level for the radon recommended by ICRP 300 Bq/m 3 . For annual effective dose of gamma rays, an estimated annual effective dose of 85.18 mSv was obtained in one group of workers. This value exceeds the annual dose limit value of 20 mSv for workers. From the results of the risk assessment, a risk value of C is obtained, which means that the risk cannot be accepted, and additional control measures are needed. Workers are exposed to chronic doses of radiation and can be exposed to stochastic effects that can induce cancer.
Metabolic syndrome, according to the Joint Interim Statement (JIS), is a cluster of interrelated risk factors for cardiovascular disease and type 2 diabetes, characterized by the presence of at least three out of five specific conditions: central obesity, elevated triglyceride levels, low HDL cholesterol, hypertension, and hyperglycemia. This study aims to analyze the relationship between risk factors for metabolic syndrome, including environmental factors (work location and place of residence), behavioral factors (smoking habits, physical activity, eating pattern, and sleep duration), and genetic factors (age and family history of disease), with the incidence of metabolic syndrome among mine workers at PT XY, East Kalimantan. A cross-sectional study design with a quantitative approach was employed. Primary data were collected through online questionnaires, while data on metabolic syndrome components were obtained from Medical Check-Up (MCU) results. The analysis revealed that among 105 respondents, 22 (21%) had metabolic syndrome. Among the assessed risk factors, only age was significantly associated with the incidence of metabolic syndrome (p = 0.001). Other factors, such as work location, place of residence, smoking habits, physical activity, eating pattern, sleep duration, and family history of disease, showed no significant association.
