Exposure to lead, particularly at chronic low-dose levels, is still a major public health concern. The present study is aimed to evaluate the blood lead levels in populations resident in some abandoned mine areas of Chungbuk, Korea. Eight hundreds and sixty-six subjects who reside in abandoned mine area located in Chungbuk, Korea, were enrolled this study. We evaluated the blood lead level according to the age, gender, and working history in mines. For statistical analysis, SPSS ver 12.0 was used. The geometric mean blood lead levels was $2.93\;{\mu}g/{\ell}$ and nobody showed levels over the guidelines of WHO. Ex-smokers and current-smokers showed significantly higher blood lead levels compared to that of non-smokers. The blood lead levels in individuals with a history of working in a mine was higher than those in individuals without such histories. The populations resident in some Chungbuk abadoned mine area showed low levels of lead in blood. This suggest that lead poisoning might not be induced by abandoned mine in Chungbuk, Korea.
A case-control study was conducted to investigate the effect of low-level blood lead on the blood pressure. The plasma renin activity(PRA) was measured also to investigate one of the possible mechanisms by which lead nay play a role to influence on the blood pressure. Seventy-two hypertensive and sixty -nine control study subjects were selected from the workers who had no history of b-related lead exposure, in Ulsan city and it's vicinity, Korea. In addition to measuring blood lead levels and PRA, body mass index(BMI), hematocrit, serum sodium, potassium, creatinine, ionized calcium, and cholesterol were measured. Also, the habits of smoking, alcohol drinking and family history of hypertension were checked. The blood lead level of the hypertensive group was $19.8{\pm}5.5{\mu}g/dl$, which was significantly higher than that of the control group, $12.5{\pm}4.7{\mu}g/dl$(p<0.01). On multiple logistic regression analysis, the odds ratio of blood lead level on the occurence of high blood pressure was 1.38, also statistically significant (p<0.01). There was no significant differences between the hypertensive and the control group in the PRA or In (PRA), but there was a marginally significant linear relationship between blood lead and PRA in the hypertensive group(p<0.1). In conclusion, blood lead level which has been known to be within normal limits may be one of the possible risk factors of hypertension and PRA alteration by lead may act as one of the mechanisms.
Pak, Yun-Suk;Park, Sang-Sin;Kim, Tae-Hun;Lee, Sang-Yoon;Kho, Young-Lim;Lee, Eun-Hee
Journal of Environmental Health Sciences
/
v.38
no.4
/
pp.311-322
/
2012
Objective: The effect of lead on blood pressure remains controversial in spite of the numerous studies which have been conducted in the recent years. The aim of this study was to evaluate the effects of exposure to lead on blood pressure among non-smokers. Methods: In this cross sectional study, 1416 male and female non-smokers were enrolled, aged 20 years or older, from the Korean National Health and Nutrition Examination Survey 2008. Blood pressure, blood lead levels (BLLs), height, weight, and cotinine level were measured for all subjects. Results: Geometric mean BLLs of the participants was 2.20 ${\mu}g$/dl. BLLs were higher in the older, male, and lower education groups than the younger, female and higher education groups. After adjusting for age, sex, education and BMI through multiple regression analysis, a significant positive association between systolic blood pressure (p = 0.0357), diastolic blood pressure (p = 0.0111) and BLLs. Also, among the normal BMI group (18.5 kg/$m^2$ < BMI < 25 kg/$m^2$), we also found a significant positive association between diastolic blood pressure and BLLs (p = 0.0370). Conclusion: The present study showed that blood lead serves as a good predictor of blood pressure changes and that there was a statistically significant association between blood lead and blood pressure, especially diastolic blood pressure.
For the purpose of the curative effects of oral D-penicillamine in lead poisoning, D-penicillamine was orally administered to 7 lead poisoned workers which were employed in glaze product industry dealing with the lead oxide ($Pb_3O_4$). The doses of D-penicillamine was 1,200mg per day which was administered by oral 7days schedules, taking for 5 days and stopping for the following 2days, repeatedly during 3 months period. (All the poisoned workers started working again in that industry after 1 month treatment, and were treated by oral D-penicillamine for 2 months still being exposed to contaminated environment.) In order to evaluate the curative effects of D-penicillamine, 10gm of whole blood and 24 hours urine were collected every 14 days during the curative period for laboratory analysis(hemoglobin, blood lead, urine $\sigma$-aminolevulinic acid, urine coproporphyrin, and urine lead levels) with the observation of the clinical symptoms. The results were as follows; 1. Oral D-penicillamine effected good curative results as that hemoglobin, blood lead, urine $\sigma$-aminolevulinic acid, and urine coproporphyrin levels were decreased below the critical level within 1 month treatment. 2. After re-exposure, oral D-penicillamine effected to some extent as that urine lead level was decreased below the critical level after 3 months treatment with disappearence of the clinical symptoms after 2 months treatment. However, the curative effects of oral D-penicillamine in the lead exposure state is questionable since increasement of blood lead level and remarkable decreasement of urine lead level after 3 months treatment can be observed.
Lead (Pb) is ubiquitous in the urban environment and is a well-known toxic element. It may cause adverse health effects on hematopoietic system, peripheral and central nervous systems, kidney functions, and others. In recent decades, lead concentration in blood has been widely used one of indicators for lead exposure and risk evaluation. In this study, we determined the blood-lead levels in general populations of Korea, and investigated the relationship among blood-lead levels, sociobehavioral factors, and lead concentrations in the contacted environments such as ambient air, drinking water, and foods. The study subjects consisted of volunteers who had lived in the residential or industrial area in Korea. Information about gender, age, living area, occupation, smoking, heat system, and dietary habits, etc was collected using a self-reported questionnaires. The lead concentrations of environments were collected by literature search to the study area. Participated subjects in industrial area were 726 and their blood-lead levels were 8.58 $\mu\textrm{g}$/dl for males and 6.26 $\mu\textrm{g}$/dl for female in average. The other subjects in residential area were 317 and their blood-lead levels were 4.58 $\mu\textrm{g}$/dl for males and 3.49 $\mu\textrm{g}$/dl for female in average. The distribution of blood-lead level in the industrial subjects was well fitted to the log -normal distribution and that in the residential subjects was well fitted to the normal distribution. Blood-lead levels in both area were affected by gender, smoking habit, age and residence duration except age in industrial area and residence duration in residential area. It was identified that 30% of blood-lead level was contributed from the inhalation of ambient air in the industrial area, and 8.4% of blood-lead level was from that in the residential area. from this study, it would be suggested for the health risk assessment and management of lead pollution concerns in urban, industrial and rural areas.
Kim, Jae-Uk;Lee, Jung-Jeung;Kim, Chang-Yoon;Chung, Jong-Hak
Journal of Preventive Medicine and Public Health
/
v.28
no.1
s.49
/
pp.73-84
/
1995
This study was conducted to measure the lead level in the blood, scalp hair and toenail of the elementary schoolchildren and assess the relationship among those samples. Lead concentration of the blood, scalp hair and toenail was measured for 100(male 50, female 50) fourth grade elementary schoolchildren in Taegu city. The mean lead level in the blood, scalp hair and toenail was $6.00{\pm}2.44{\mu}g/dl,\;6.68{\pm}3.54{\mu}g/g,\;and\;7.33{\pm}3.18{\mu}g/g. The mean lead level in the blood of schoolboys was $6.43{\pm}2.77{\mu}g/dl$, and that of schoolgirls was $5.59{\pm}2.01{\mu}g/dl$. The mean lead level in the scalp hair of schoolboys was $7.66{\pm}2.97{\mu}g/g$ and that of schoolgirls was $6.88{\pm}3.54{\mu}g/g$. The mean lead level in the toenail of schoolboys was $8.19{\pm}3.5{\mu}g/g$ and that of schoolgirls was $6.47{\pm}2.52{\mu}g/g$ and their difference was statistically significant. In schoolboys, the correlation coefficient between the lead level in the blood and scalp hair was 0.4909, and the data were fitted best by the regression equation Y = 0.5255X+4. 2810, where Y and X are scalp hair and blood concentration. In schoolgirls the correlation coefficient between the lead level in the blood and scalp hair was 0.3778, and the data were fitted best by the regression equation Y = 0.6655X+2.9632, where Y and X are scalp hair and blood concentration. In schoolboys, the correlation coefficient between the lead level in the blood and in the toenail was 0.5533, and the data were fitted best by the regression equation Y = 0.7076X+3. 6472, where Y and X are toenail and blood concentration. In schoolgirls the correlation coefficient between the lead level in the blood and in the toenail was 0.2738, and the data were fitted best by the regression equation Y = 0.3431X+4.5570, where Y and X are toenail and blood concentration In schoolboys, the correlation coefficient between the lead level in the scalp hair and in the toenail, in the schoolboys was 0.4148, and the data were fitted best by the regression equation Y = 0.4956X+4.3986, where Y and X are toenail and scalp hair concentration. In schoolgirls, the correlation coefficient between the lead level in the scalp hair and in the toenail was 0.1159, and the data were fitted best by the regression equation Y = 0.0825X+5. 9214, where Y and X are toenail and scalp hair concentration. Correlation among lead concentration in the blood, scalp hair and toenail of schoolchildren were statistically significant except between scalp hair and toenail in schoolgirls. These finding suggest that blood, scalp hair and toenail can be used as substitutive samples between each others.
Objectives: The purpose of this study was to examine the cross-sectional relationship between low blood lead levels and increasing blood pressure among Korean adults using a nationally representative sample of the Korean population: the Korea National Health and Nutrition Examination Survey (KNHANES) 2008. Methods: A total of 918 subjects aged 40 and older and not currently being treated for hypertension participated in this study. Information about age, gender, smoking status, alcohol consumption, education level, and the use of anti-hypertensive medication was collected. The blood pressure was defined as the mean of the second and the third measurements after three time measurements. Lead levels were determined by an analysis of blood samples. Multiple linear and logistic regression analyses were implemented after adjusting for covariates including age, gender, educational level, smoking status, alcohol consumption, and BMI. Results: This study showed that the average differences in systolic and diastolic blood pressure comparing the lowest to highest quintile of blood lead were 4.33 mmHg (95% CI, 0.66-8.00; p for trend = 0.027) and 2.66 mmHg (95% CI, 0.26-5.06; p for trend = 0.021), respectively. After multivariate adjustment for covariates, the prevalence odds ratio (POR) of subjects in the highest quintile was associated with a 1.70-fold increase in the risks of hypertension (95% CI, 0.83-3.49; p for trend test = 0.112) over those in the lowest quintile of blood lead concentration, However, it was not statistically significant. Conclusions: This study provided evidence for an association between low- levels of blood lead and elevations in blood pressure and risk for hypertension in the general population of Korea.
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).
This study was carried out to investigate the relationship of the cadmium and lead levels in blood by age, gender and smoking status among 181 students in Gyeongnam province from June 2005 to July 2006. The cadmium and lead levels in blood was analyzed by atomic absorption spectrophotometer. Subjects were classified for the investigation according to smoking status as smokers and nonsmokers, age and gender. Mean blood cadmium level in male and female was $1.65{\mu}g/dl,\;1.10{\mu}g/dl$ respectively. Male was significantly higher than that of female. Blood cadmium levels in heavy smokers ($11{\sim}20\;ea/day$) and light smokers ($1{\sim}10\;ea/day$) were $2.34{\mu}g/dl,\;1.10{\mu}g/dl$ respectively. Heavy smokers were significantly higher than those of light smokers. In the comparison of age, gender and smoking status in blood Lead levels were no significant differences. In conclusion, heavy smoking was the most significant risk factor to increase blood cadmium levels. The further study will need analysis of the other factors related to the elevation of the cadmium and lead levels.
This study was started to find out if plasma malondialdehyde(MDA), $\alpha-tocopherol$ and erythrocyte superoxide dismutase(SOD) activity could be markers of biological activity resulting from exposed to lead in workers. Blood samples were randomly obtained from lead-exposed workers(n=29), $CO_2$, welders(n=60) and office workers(n=60). We used whole blood to analyse blood lead with atomic absorption spectrophotometer. Superoxide dismutase activity in erythrocyte was measured with spetrophotometer. MDA and $\alpha-tocopherol$ in plasma were measured with high performance liquid chromatography. Lead-exposed workers was significantly high in blood lead concentration$(29.37{\mu}g/d\ell)$ compared with welders$(6.42{\mu}g/d\ell)$ and office workers$(5.01{\mu}g/d\ell)$. The level of plasma MDA was significantly higher in the lead-exposed workers($1.87{\mu}mol/g$ cholesterol) than the welders($1.41{\mu}mol/g$ cholesterol) and office workers($1.41{\mu}mol/g$ cholesterol). Erythrocyte SOD activity in lead-exposed workers(56.80 U/g Hb) was significantly increased than those of welders(37.63 U/g Hb) and office workers(20.47 U/g Hb). The plasma $\alpha-tocopherol$ level of lead-exposed workers($4.93{\mu}g/g$ cholesterol) was statistically different from welders($4.25{\mu}g/g$ cholesterol) and office workers$4.28{\mu}g/g$ cholesterol). Neither age nor smoking was related to SOD or MDA level. Blood lead was significantly correlated with erythrocyte SOD activity(r=0.405), plasma MDA(r=0.296) and $\alpha-tocopherol$ (r=0.207). Plasma MDA was also significantly correlated with SOD (r=0.217). In multiple regression analysis, the change of MDA and SOD activity level related to the blood lead concentration. These results suggested that the increase of plasma MDA and erythrocyte SOD activity in lead-exposed workers had a close relationship with the oxidative stress induced by lead.
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