Objective To estimate the biological exposure limit （BEL） using benchmark dose （BMD） based on two sets of data from occupational epidemiology. Methods Cadmium-exposed workers were selected from a cadmium smelting ...Objective To estimate the biological exposure limit （BEL） using benchmark dose （BMD） based on two sets of data from occupational epidemiology. Methods Cadmium-exposed workers were selected from a cadmium smelting factory and a zinc product factory. Doctors, nurses or shop assistants living in the same area served as a control group. Urinary cadmium （UCd） was used as an exposure biomarker and urinary D2-microgloburin （B2M）, N-acetyl-D-D-glucosaminidase （NAG） and albumin （ALB） as effect biomarkers. All urine parameters were adjusted by urinary creatinine. Software of BMDS （Version 1.3.2, EPA.U.S.A） was used to calculate BMD. Results The cut-off point （abnormal values） was determined based on the upper limit of 95% of effect biomarkers in control group. There was a significant dose response relationship between the effect biomarkers （urinary B2M, NAG9 and ALB） and exposure biomarker （UCd）. BEL value was 5 μg/g creatinine for UB2M as an effect biomarker, consistent with the recommendation of WHO. BEL could be estimated by using the method of BMD. BEL value was 3 μg/g creafinine for UNAG as an effect biomarker. The more sensitive the used biomarker is, the more occupational population will be protected. Conclusion BMD can be used in estimating the biological exposure limit （BEL）. UNAG is a sensitive biomarker for estimating BEL after cadmium exposure.展开更多
The oil spill impact analysis (OSIA) software system has been developed to supply a tool for comprehensive, quantitative environmental impact assessments resulting from oil spills. In the system, a biological componen...The oil spill impact analysis (OSIA) software system has been developed to supply a tool for comprehensive, quantitative environmental impact assessments resulting from oil spills. In the system, a biological component evaluates potential effects on exposed organisms based on results from a physico chemical fates component, including the extent and characteristics of the surface slick, and dissolved and total concentrations of hydrocarbons in the water column. The component includes a particle based exposure model for migratory adult fish populations, a particle based exposure model for spawning planktonic organisms (eggs and larvae), and an exposure model for wildlife species (sea birds or marine mammals). The exposure model for migratory adult fish populations simulates the migration behaviors of fish populations migrating to or staying in their feeding areas, over wintering areas or spawning areas, and determines the acute effects (mortality) and chronic accumulation (body burdens) from the dissolved contaminant. The exposure model for spawning planktonic organisms simulates the release of eggs and larvae, also as particles, from specific spawning areas during the spawning period, and determines their potential exposure to contaminants in the water or sediment. The exposure model for wild species calculates the exposure to surface oil of wildlife (bird and marine mammal) categories inhabiting the contaminated area. Compared with the earlier models in which all kinds of organisms are assumed evenly and randomly distributed, the updated biological exposure models can more realistically estimate potential effects on marine ecological system from oil spill pollution events.展开更多
Background: Occupational exposure to biological materials is a serious risk to the health of workers in their workplaces, due to the possibility of transmitting pathogens such as Hepatitis B Virus (HBV), Hepatitis C V...Background: Occupational exposure to biological materials is a serious risk to the health of workers in their workplaces, due to the possibility of transmitting pathogens such as Hepatitis B Virus (HBV), Hepatitis C Virus (HCV), and Human Immunodeficiency Virus (HIV). The aim of this study was to analyze the accidents of exposure to biological material which resulted in contamination of Hepatitis B and C in the municipal health Belo Horizonte. Methods: Epidemiological study with cross-sectional design performed by querying the data on accidents at work involving exposure to biological materials and notification data of Viral Hepatitis in the Information System for Notifiable Diseases (SINAN) for the period of 2007 to June 2011, filed with the municipal government of Belo Horizonte. A descriptive analysis was performed using frequency distribution and percentages. Results: The 45 research records were arranged in professional categories, with 57.77% of incidents being ignored, followed by 24.44% nursing technicians, 6.66% nursing assistants, and 2.22% marketers, housekeeping, administrators, janitors, and builders. The average age was 39 years and 64.44% of the professionals were female. At the notification of the accident, 75.55% of professionals were not registered at CAT, and 92.85% of exposures occurred in the hospital;64.29% in contact with blood;35.71% of the causative agent was without needle lumen, 28.57% during administration of intravenous medication, and 57.14% from percutaneous exposure. In the distribution of occupation, 57.78% were contaminated with viral Hepatitis B and C. With vaccination regimens for Hepatitis B, 66.67% of the cases went to nursing assistants and 42.22% were “ignored”. Conclusion: These data confirm the need for reorientation of working practices during daily activities of health workers and guidance for notification of occupational accidents involving biological material and viral Hepatitis B and C in order to improve the quality of the records.展开更多
文摘Objective To estimate the biological exposure limit （BEL） using benchmark dose （BMD） based on two sets of data from occupational epidemiology. Methods Cadmium-exposed workers were selected from a cadmium smelting factory and a zinc product factory. Doctors, nurses or shop assistants living in the same area served as a control group. Urinary cadmium （UCd） was used as an exposure biomarker and urinary D2-microgloburin （B2M）, N-acetyl-D-D-glucosaminidase （NAG） and albumin （ALB） as effect biomarkers. All urine parameters were adjusted by urinary creatinine. Software of BMDS （Version 1.3.2, EPA.U.S.A） was used to calculate BMD. Results The cut-off point （abnormal values） was determined based on the upper limit of 95% of effect biomarkers in control group. There was a significant dose response relationship between the effect biomarkers （urinary B2M, NAG9 and ALB） and exposure biomarker （UCd）. BEL value was 5 μg/g creatinine for UB2M as an effect biomarker, consistent with the recommendation of WHO. BEL could be estimated by using the method of BMD. BEL value was 3 μg/g creafinine for UNAG as an effect biomarker. The more sensitive the used biomarker is, the more occupational population will be protected. Conclusion BMD can be used in estimating the biological exposure limit （BEL）. UNAG is a sensitive biomarker for estimating BEL after cadmium exposure.
基金theChinaScholarshipCouncil (CSC)andOceanographicScientificFundsforYouthfromtheStateOceanographicAdministration (No .96 80 1)
文摘The oil spill impact analysis (OSIA) software system has been developed to supply a tool for comprehensive, quantitative environmental impact assessments resulting from oil spills. In the system, a biological component evaluates potential effects on exposed organisms based on results from a physico chemical fates component, including the extent and characteristics of the surface slick, and dissolved and total concentrations of hydrocarbons in the water column. The component includes a particle based exposure model for migratory adult fish populations, a particle based exposure model for spawning planktonic organisms (eggs and larvae), and an exposure model for wildlife species (sea birds or marine mammals). The exposure model for migratory adult fish populations simulates the migration behaviors of fish populations migrating to or staying in their feeding areas, over wintering areas or spawning areas, and determines the acute effects (mortality) and chronic accumulation (body burdens) from the dissolved contaminant. The exposure model for spawning planktonic organisms simulates the release of eggs and larvae, also as particles, from specific spawning areas during the spawning period, and determines their potential exposure to contaminants in the water or sediment. The exposure model for wild species calculates the exposure to surface oil of wildlife (bird and marine mammal) categories inhabiting the contaminated area. Compared with the earlier models in which all kinds of organisms are assumed evenly and randomly distributed, the updated biological exposure models can more realistically estimate potential effects on marine ecological system from oil spill pollution events.
文摘Background: Occupational exposure to biological materials is a serious risk to the health of workers in their workplaces, due to the possibility of transmitting pathogens such as Hepatitis B Virus (HBV), Hepatitis C Virus (HCV), and Human Immunodeficiency Virus (HIV). The aim of this study was to analyze the accidents of exposure to biological material which resulted in contamination of Hepatitis B and C in the municipal health Belo Horizonte. Methods: Epidemiological study with cross-sectional design performed by querying the data on accidents at work involving exposure to biological materials and notification data of Viral Hepatitis in the Information System for Notifiable Diseases (SINAN) for the period of 2007 to June 2011, filed with the municipal government of Belo Horizonte. A descriptive analysis was performed using frequency distribution and percentages. Results: The 45 research records were arranged in professional categories, with 57.77% of incidents being ignored, followed by 24.44% nursing technicians, 6.66% nursing assistants, and 2.22% marketers, housekeeping, administrators, janitors, and builders. The average age was 39 years and 64.44% of the professionals were female. At the notification of the accident, 75.55% of professionals were not registered at CAT, and 92.85% of exposures occurred in the hospital;64.29% in contact with blood;35.71% of the causative agent was without needle lumen, 28.57% during administration of intravenous medication, and 57.14% from percutaneous exposure. In the distribution of occupation, 57.78% were contaminated with viral Hepatitis B and C. With vaccination regimens for Hepatitis B, 66.67% of the cases went to nursing assistants and 42.22% were “ignored”. Conclusion: These data confirm the need for reorientation of working practices during daily activities of health workers and guidance for notification of occupational accidents involving biological material and viral Hepatitis B and C in order to improve the quality of the records.
