• Journal of the Ergonomics Society of Korea
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• v.32 no.3
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• pp.259-266
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• 2013

Objective: This study aims to evaluate the workloads of industrial and automobile storage battery industries and their association to biological exposure indices. Background: Occupational lead exposure at battery manufacturing workplace is the most serious problem in safety and health management. Method: We surveyed 145 workers in 3 storage battery industries. Environmental factors(lead in air, temperature, humidity and vibration)), biological exposure indices(lead in blood and zinc protoporphyrin in blood) and individual workload factors(process type, work time, task type, weight handling and restrictive clothing) were measured in each unit workplace. Results/Conclusion: Air lead concentration is statistically significant in associations with workload factors(process type, work time, task type, and restrictive clothing) and environmental factors (humidity and vibration), whereas zinc protoporphyrin in blood are significantly associated with work time and weight handling. And lead in blood is significantly associated with work time, weight handling and temperature. Application: The results of this study are expected to be a fundamental data to job design.

• Environmental Analysis Health and Toxicology
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• v.14 no.4
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• pp.203-216
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• 1999

This paper describes a set of multi-pathway models for estimating health risk to lead. The models link concentrations of an environmental contaminant (lead) in air, water and food to human exposure through inhalation, ingestion, and dietary routes. Exposure is used as the foundation for predicting risk of health detriment within the population. The process of estimating exposure using often limited data and extrapolating to a large diverse population requires many assumption, inferences, and simplification. This paper is divided into four section. The first section provides lead contaminant levels on obtaining environmental concentration of air, tap water, and foods. The second section provides a discussion of exposure parameters and uncertainty associated predicting human health risk of contaminants. The third and fourth section illustrate lifetime average daily exposure (LADE) and excess cancer risk (ECR) based on exposure parameters. The relationship between concentration of lead in an environmental medium and human exposure is determined with pathway exposure factors (PEFs). The calculation of LADE and ECR is carried out using Monte-Carlo simulation with probability density function of exposure parameters. Examination of the result reveals that, for lead exposure, ingestion (food) is the dominant route of exposure rather than inhalation (air), and ingestion (tap eater).

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.17 no.1
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• pp.43-52
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• 2007

This study was designed to investigate the difference of airborne lead concentration by type of lead industries and type of lead exposure and to evaluate their association with lead biomarkers of lead workers in 11 lead using industries. Total of 182 lead workers (male: 167, female: 15) from 11 lead industries were participated for this study from March, 2004 to August, 2005. Airborne lead concentration were measured by representative personal sampling of workers in each unit workplace and applied same concentration value to the workers in the same unit workplace who did not measure their airborne lead with personal air sampling. Tibia lead, blood lead, zinc protoporphyrin in whole blood, ${\delta}$-aminolevulinic acid in urine, hemoglobin and hematocrit were selected as study variables of indices of lead exposure. Information about type of lead exposure (fume or non-fume other), age, work duration, smoking & drinking habit were also collected. Significant differences were seen in the means of zinc protoporphyrin, blood lead and tibia lead in lead workers by different airborne lead concentration in workplace. While blood lead and tibia lead in lead workers were significantly higher in secondary smelting than other types of lead industries, zinc protoporphyrin, ${\delta}$-aminolevulinic acid in urine and airborne lead concentration were significantly higher in litharge manufacturing. While the mean blood lead was significantly higher in the lead workers working in fume type unit workplace than those of non-fume lead workers, the mean airborne lead concentration of fume workers was significantly lower than non-fume lead workers. In the multiple regression analysis of airborne lead concentration and the type of lead exposure on tibia lead and lead exposure indices after adjustment of related covariates, airborne lead concentration was statistically significantly associated with blood lead and tibia lead, but the type of lead exposure was only associated with blood lead. To verify the causal association of airborne lead concentration on blood lead and tibia lead, further studies are needed.

• Journal of Environmental Health Sciences
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• v.35 no.3
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• pp.153-161
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• 2009

The purpose of this paper is to evaluate 1) blood lead levels of workers at auto repair shops as Biological Exposure Indices (BEI) of toxic substances such as lead and toluene that are produced during automotive painting process, 2) the differences depending on personal characteristics of workers who have been exposed to toluene by using urine hippuric acid concentration as a marker and 3) the correlation between the concentration of hazardous chemicals in each workplace and the BEL. All subjects were male with a mean age of 36.2 years. In terms of age, most were in the 30 to 40 age group (13 persons, 48.1%). In relation to the length of work experience, the highest proportion had experience of 10 years of less (18 persons, 66.7%). Twenty three workers were cigarette smokers (85.2%) while 4 (14.8%) were non-smokers. In addition, more than 80% of the workers drank alcohol. Dust concentration and toluene exposure during automotive painting showed no significant difference with age, length of work experience, smoking and drinking while a significant difference (p<0.05) has been detected between lead concentration and smoking. The geometric mean of dust concentration, lead concentration and toluene concentration were $0.38mg/m^3,\;0.0021mg/m^3$ and 1.08ppm respectively. In addition, the geometric mean of blood lead levels and urine hippuric acid concentration were $1.70{\mu}g/dl$ and 0.25g/g respectively, which were lower than the standard levels suggested by the Ministry of Labor. To determine the influential factors on blood lead and urine hippuric acid concentrations, a correlation analysis has been conducted with variables of air, lead and toluene concentrations, age, length of work experience and amount of cigarette smoking. According to the analysis, a relatively high correlation (p<0.01) has been observed between air lead concentration and biological sample concentration.

• Journal of Environmental Health Sciences
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• v.32 no.1 s.88
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• pp.1-7
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• 2006

This study was performed to investigate airborne lead concentration and surface lead contents in preschool facilities. Arithmetic mean of indoor lead concentration in urban area was $44.7\;ng/m^3$ (Geometric mean $32.1\;ng/m^3$) whereas outdoor concentration was $39.5\;ng/m^3$ (GM $22.8\;ng/m^3$). In rural area, airborne lead concentrations were $14.2\;ng/m^3\;(GM\;7.9 ng/m^3),\;12.6\;ng/m^3\;(GM\;5.6 ng/m^3)$, respectively. There is statistical significance of the lead concentrations among the locations of preschool facilities. About $37\%$ of qualitative lead check samples was positive and mainly was found in lead based paint. Though lead concentrations on the floor and window sill were well below the US EPA and HUD standard (floor $40\;{\mu}g/ft^2\;(4.3\;{\mu}g/100\;cm^2)$, window sill $250\;{\mu}g/ft^2\;(26.9\;{\mu}g/100\;cm^2)$, respectively), there were much samples which exceed the standard, i.e., $29\%$ of surface wall, $20\%$ of the desk and chair, $100\%$ of painted wood box of tested samples. In view of our study and hazard of lead to children, we recommended that the contents of lead in preschool facilities should be lowered as possible.

• 산업보건소식
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• no.46
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• pp.3-13
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• 1987

For the purpose of investigating the effect of occupational health service in terms of environmental control and health provision of workers on the improvement of worker's health, authors analysed the data of environmental measurement and health check-up of one lead using industry who started his investment to environmental improvement from 1980. Six hundred million won was invested for environmental improvement from 1980 to 1986. This investment brought about apparent improvement of working conditions of all of the workplaces from mean concentration of lead in air over 0.15mg/$m^3$ 1981 to mean concentration of lead in air less than 0.15mg/$m^3$. Environmental control reduced mean blood lead level from 51.2 $\pm$ 11.5ug/이 in 1983 to 39.2 $\pm$ 16.0ug/dl in 1986, and delta-aminolevulinic acid concentration 3.15 $\pm$ 2.1mg/l in 1982 to 1.96 $\pm$ 1. 7mg/l in 1986, respectively. Blood ZPP levels were decreased from 76.1 $\pm$ 58.9ug/dl in 1983 to 42.23 $\pm$ 30.3ug/dl in 1986. If 150ug/dl of blood ZPP is considered as unacceptable limit of lead intoxication, more than 10 percent of workers belonged to this category in 1983, but only 0.5 of workers showed their blood ZPP level over the 150ug/dl in 1986 It was observed that no workers whose work duration were less than one year showed their blood ZPP level over 100ug/dl, but there were high percentages of lead workers with high blood ZPP (over 150 ug/dl) who were working in uncontrolled had working condition and whose work duration were less than one year.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.29 no.1
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• pp.34-41
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• 2019

Objective: This study is conducted to evaluate airborne lead concentration in and around lead production plant. Methods: Airborne lead concentration was monitored simultaneously inside of the processes of lead recycling factory and outside of factory which include stack, boundary of factory and residential area 1 km and 7.5 km from factory, respectively. All samples were measured three times at 1.5 m from the ground and analyzed using inductively coupled plasma mass spectrometer, inductively coupled plasma optical emission spectrometer or flame atomic absorption spectrometer. Results: All airborne lead concentrations measured inside of factory($13.9{\mu}g/m^3-252.9{\mu}g/m^3$) and outside of factory($0.001{\mu}g/m^3-54.97{\mu}g/m^3$) showed log-normal distribution. Geometric mean lead concentration, $54.81{\mu}g/m^3$, measured inside of factory was significantly higher than outside of factory, $0.20{\mu}g/m^3$(p<0.01). Among the samples measured inside the factory, lead concentration was the highest in the refining process($59.02{\mu}g/m^3-252.9{\mu}g/m^3$). In the case of the samples outside the factory, the nearest chimney was the highest($3.84{\mu}g/m^3-54.97{\mu}g/m^3$), and the lead concentration at the farthest place, 7.5 km from the factory was the lowest($0.001{\mu}g/m^3-1.7{\mu}g/m^3$). The arithmetic lead concentration, $0.45{\mu}g/m^3$ in the residential area near the factory was below the atmospheric environment standard of $0.5{\mu}g/m^3$, but the maximum concentration of $3.4{\mu}g/m^3$ was exceeded. Conclusions: Airborne lead concentration in residential area, 1 km away from lead recycling plant, may exceed ambient air standard of $0.5{\mu}g/m^3$.

• Journal of Environmental Health Sciences
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• v.17 no.1
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• pp.95-103
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• 1991

For the purpose of estimating the working environment and the relationship between the airborne lead concentration and the ZPP level in the whole blood of the workers, the airborne lead concentrations and the ZPP level were measured at the 26 plants which deal with lead, from October 5 to November 5 in 1988. Analysis of the airborne lead concentration was performed by NIOSH Method 7082, and the ZPP level was measured by a hematofluorometer. The following results are concluded. 1. The average airborne lead concentration of the lead battery manufactures is 0.025mg/m$^{3}$ and that of the secondary lead smelters is 0.023mg/m$^{3}$. There were no significant differences between industry (p>0.1) 2. At the lead battery manufacture, the process of lead powder production showed the highest concentration of 0.034mg/m$^{3}$ but there were no significant differences among the processes (p>0.1). At the secondary lead smelter, the process of dismantling waste batteries showed the highest concentration 0.141mg/m$^{3}$, and there were very significant differences among the processes (p<0.005). 3. The ZPP level in the whole blood showed significant differences between industry (p<0.10). The average ZPP level of the lead battery manufactures is 133.0 + 106.3 $\mu$g/100ml and that of the secondary lead smelters is 149.6 + 110.9 $\mu$g/100ml. 4. The correlation coefficients between the airborne lead concantration and ZPP level were 0. 426 (p<0.001) for the lead battery manufactures and 0.484 (p<0.001) for the secondary lead smelters. The correlation coefficients between the work duration (in months) and the ZPP level were 0.238 (p<0.001) for the lead battery mannfactures and 0.075 (p>0.10) for the secondary lead smelters. 5. The linear regression equation, with the airborne lead concentration as an independent variable and the ZPP level as a dependent variable, is Y=96.84+1300.34X (r=0.448, p<0.001) for the 26 plants which deal with lead. The linear regression equation, with the work duration(in months) as an independent variable and the ZPP level as a dependent variable, is Y=127.28 +0.49X (r=0.162, p<0.05). 6. The correlation coefficients between the amount of inhaled lead and ZPP level were 0.349 (p < 0.001) for the lead battery manufactures and 0.318(p<0.001) for the secondary lead smeltes. The linear regression equation for the 26 plants surveyed, with the amount of inhaled lead as an independent variable and ZPP level as a dependent variable, is Y=123.63+18.82X (r=0. 335, p<0.001).

• The Korean Journal of Physiology
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• v.11 no.2
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• pp.63-66
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• 1977

Motor vehicles are the major source of environmental air pollution through the combustion of lead-containing gasolines. People who live in the areas with heavy traffic usually have the higher blood lead levels. This study was to investigate the lead level between the maternal blood and their infants cord blood. Immediatly after Placental delivary, the sampls of cord blood and maternal venous blood were obtained randomly from 14 infants whose mothers had spent their entire pregnancy in Seoul. Lead concentration was determined by the dithizone method. The results obtained were summarized as follows: 1. Hemoglobin, Hct and RBC were significantly higher in cord blood than in the maternal blood, by 36%, 54.9%, 36.9% respectively. 2. MCV in cord blood was higher than that in maternal blood by 13.8%. But MCH and MCHC were lower than those in maternal blood, by 9.7%, 3.3% respectively. The differences were statistically significant. 3. Lead concentration of cord blood $(23.93\;{\mu}g%)$ was higher than that in maternal blood $(21.93\;{\mu}%)$ by 9.1%.

• Environmental Engineering Research
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• v.14 no.1
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• pp.53-60
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• 2009

The main objective was to develop and assess a dynamic fate and transport model for lead in air, soil, sediment, water and vegetation. Daejeon was chosen as the study area for its relatively high contamination and emission levels. The model was assessed by comparing model predictions with measured concentrations in multi-media and atmospheric deposition flux. Given a lead concentration in air, the model could predict the concentrations in water and soil within a factor of five. Sensitivity analysis indicated that effective compartment volumes, rain intensity, scavenging ratio, run off, and foliar uptake were critical to accurate model prediction. Important implications include that restriction of air emission may be necessary in the future to protect the soil quality objective as the contamination level in soil is predicted to steadily increase at the present emission level and that direct discharge of lead into the water body was insignificant as compared to atmospheric deposition fluxes. The results strongly indicated that atmospheric emission governs the quality of the whole environment. Use of the model developed in this study would provide quantitative and integrated understanding of the cross-media characteristics and assessment of the relationships of the contamination levels among the multi-media environment.