The welding workers are frequently exposed to heavy metals such as manganese. Manganese is well evaporated into the air while welding. This study had been carried out to investigate the relationship of the blood manganese level to age, work duration, and smoking status among 128 welding workers in Gyeongnam and Jeonnam province from May to November, 2003. They showed high manganese level in the first health examination. Subjects were also classified for the investigation according to their smoking status as smokers and nonsmokers, work duration ($\leq$9, 10~9, 20$\leq$years), and ages ($\leq$29, 30~39, 40~49, 50$\leq$years). Blood manganese Jevels were analyzed by atomic absorption spectrophotometer (AAS). Mean blood manganese level was 1.62$\pm$0.56 $\mu\textrm{g}$/dl. In the comparison of blood manganese levels by age and smoking status, mean blood manganese levels of smokers in age of 20's, 30's, and 50's were 2.09$\pm$0.44 $\mu\textrm{g}$/dl, 1.94$\pm$0.33 $\mu\textrm{g}$/dl, and 2.l5$\pm$0.33 $\mu\textrm{g}$/dl, respectively. Blood manganese levels of smokers were significantly higher than those of non-smokers, showing no significant difference in the 40's. In the comparison of blood manganese levels by work duration, the blood manganese levels of smokers were the highest in the case of 10 to 19 years work duration. This study showed that the blood manganese levels were related to the smoking status, work duration, and age. Mean manganese levels of smokers showed higher than those of nonsmokers. It also showed that the length of work duration was related to the elevation of blood manganese levels. Among the welding workers, blood manganese levels of smokers were the highest over their age of 50's. In conclusion, smoking was the most significant risk factor to increase blood manganese levels. The further study will need analysis of the other factors related to manganese level elevation.
The objective of this study was to evaluate associations between airborne manganese and blood manganese in a general population of South Korean adults. The concentrations of airborne manganese in total suspended particulate (TSP) were calculated from data obtained from ambient air-monitoring stations (AAMSs) located in South Korea. Blood manganese data obtained Korean National Health and Nutrition Examination Survey (KNHANES) using a rolling sampling design involving a complex, stratified, multistage, probability cluster survey of a representative sample of the non-institutionalized civilian population of South Korea. Airborne manganese geometric means was 46.10 $ng/m^3$, blood manganese geometric means were 1.19 ${\mu}g/d{\ell}$ for male and 1.40 ${\mu}g/d{\ell}$ for female. In multiple linear regression analysis of log transformed blood manganeseas a continuous variable on airborne manganese, after adjusting for covariates including gender, age, job, smoking and drinking status, education level, BMI (body mass index). Airborne manganese was positively associated with blood manganese with statistical significance. The present study confirms that airborne manganese is a possible contributor to the increase of blood manganese in the adult general population.
This study was conducted to evaluate the health hazards and to develop early diagnostic methods of the manganism in experienced welders and to know the meaning of signal intensities on the brain Magnetic Resonance images. It was carried out from December 1996 to february 1997 with 277 male welders, the duration of welding was at least 5 years or more. The study was consisted of a questionnaire, physical examination and measurements of blood & urine manganese concentrations. Brain Magnetic Resonance imaging was done on 19 study subjects by random sampling. As the duration of welding increases, the positive rates of clinical symptoms, neurological examinations and blood manganese concentrations were also increased. However, physical examinations and urine manganese concentrations were not statistically significant with the duration of welding. Authors couldn't observe any Parkinsonism-like diseases. There were statistically significant correlations between duration of welding and blood manganese concentration(r=0.16, p<0.01). There were not statistically significant correlations between duration of welding and urine manganese concentrations (r=0.06). There were statistically significant correlations between blood & urine manganese concentration(r=0.34, p<0.01). By viewing brain Magnetic Resonance images, 13 welders(68.4 %) among 19 welders were found to have signal intensities. The positive rates of clinical symptoms, physical examinations, neurological examinations and blood & urine manganese concentrations were not statistically different between those with signal intensities and those without signal intensities. We would like to suggest that some non-specific clinical symptoms and neurological signs are correlated with the duration of welding but any Parkinsonism-like diseases had not been observed with these welders. Next we suggest that the high signal intensities on TlWI of brain Magnetic Resonance images are not the sign of manganese intoxication but the sign of manganese deposition.
Journal of Korean Society of Occupational and Environmental Hygiene
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제25권4호
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pp.472-481
/
2015
Objectives: Welding is a major task in shipbuilding yards that generates welding fumes. A significant amount of welding in shipbuilding yards is done on steel. Inevitably, manganese is present in the base metals being joined and the filler wire being used and, consequently, in the fumes to which workers are exposed. The objective of this work was to characterize manganese exposure associated with work area, total and particle size-selective mass concentration, and compare the mass concentrations obtained using a three-piece cassette sampler, size-selective impactor sampler and blood manganese concentrations. Materials: All samples were collected from the main work areas at one shipbuilding yard. We used a three piece cassette sampler and the eight stage cascade impactor sampler for the airborne manganese mass concentration of total and all size fractions, respectively. In addition, we used the results of health examination of workers sampled for airborne manganese. Results: The oder of high concentration of airborne manganese in shipbuilding processes was as follows; block assembly, block erection, outfitting installation, steel cutting, and outfitting preparation. The percentages of samples that exceeded the OES of the ministry of employment and labor by the cassette sampling method was 12.5%, however 59.1% of sampled workers by the impactor sampling method exceeded the TLV of the ACGIH. Conclusions: Even though the manganese concentrations in blood of workers exposed to higher airborne manganese concentration were higher than among those exposed to lower concentrations, there was no difference in blood manganese concentrations among work duration. The data analyzed here by characterizing size-selective mass concentrations indicates that the inhaled manganese of welders in shipbuilding yards could be mostly manganese-containing respirable particle sizes.
The mechanisms by which iron is absorbed are similar to those of divalent metals, particularly manganese, lead, and cadmium. These metals, however, show different toxicokinetics in relation to menarche or menopause, although their interaction with iron is the same. This review focuses on the kinetics of these three toxic metals (manganese, lead, and cadmium) in relation to menarche, pregnancy, and menopause. The iron-manganese interaction is the major factor determining sex-specific differences in blood manganese levels throughout the whole life cycle. The effects of estrogen overshadow the association between iron deficiency and increased blood lead concentrations, explaining why women, despite having lower ferritin concentrations, have lower blood lead concentrations than men. Iron deficiency is associated with elevated cadmium levels in premenopausal women, but not in postmenopausal women or men; these findings indicate that sex-specific differences in cadmium levels at older ages are not due to iron-cadmium interactions, and that further studies are required to identify the source of these differences. In summary, the potential causes of sex-specific differences in the blood levels of manganese, lead, and cadmium differ from each other, although all these three metals are associated with iron deficiency. Therefore, other factors such as estrogen effects, or absorption rate as well as iron deficiency, should be considered when addressing environmental exposure to toxic metals and sex-specific differences in the blood levels of these metals.
To study the health hazards and exposure status of manganese among female manganese workers, authors conducted airborne, blood and urine manganese concentration measurements, questionnaire and neurological examinations on 80 manganese-handling productive female workers(exposed group) in a manganese manufacturing facto in Pohang city and 127 productive female workers not handling manganese(control group) in other factories in the Pohang city. The results are; 1. Geometric mean concentrations of manganese in air and urine were $0.98mg/m^3\;and\;4.12{\mu}g/l$ and arithmetic mean concentration of manganese in blood was $6.94{\mu}g/dl$ in exposed group, significantly higher than those of control group(p<0.05). However, clinical and laboratory findings in exposed group were not statistically different from those of control group. 2. As age increase, positive rates of clinical symptoms also increased in the exposed group. However, in older aged group, the positive rates of symptoms and signs were statistically different from those of control group. We observed the same tendency in the positive rates of the neurological examinations. 3. There was statistically significant correlation between airborne and urine manganese concentrations(r=0.61, p<0.01) while there was no statistically significant correlation between airborne and blood manganese concentrations(r=0.29, p>0.05). The results suggest that urine manganese concentration was the best appropriate biomarker to estimate the exposure to manganese in respect to clinical symptoms and signs. In the analysis of correlation between urine and airborne manganese concentrations, it is required to adjust the present permissible exposure level(PEL) of airborne manganese.
Iron deficiency affects approximately one-third of the world's population, occurring most frequently in children aged 6 months to 3 years. Mechanisms of iron absorption are similar to those of other divalent metals, particularly manganese, lead, and cadmium, and a diet deficient in iron can lead to excess absorption of manganese, lead, and cadmium. Iron deficiency may lead to cognitive impairments resulting from the deficiency itself or from increased metal concentrations caused by the deficiency. Iron deficiency combined with increased manganese or lead concentrations may further affect neurodevelopment. We recently showed that blood manganese and lead concentrations are elevated among iron-deficient infants. Increased blood manganese and lead levels are likely associated with prolonged breast-feeding, which is also a risk factor for iron deficiency. Thus, babies who are breast-fed for prolonged periods should be given plain, iron-fortified cereals or other good sources of dietary iron.
Shin, Mi Hey;Lee, Seung Kil;Kim, Kyong Hee;Choi, Jae Wook
Journal of Environmental Health Sciences
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제46권3호
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pp.267-275
/
2020
Objectives: The causes of dementia have been reported in various ways, but there has been little research on the interrelationship between heavy metals and dementia, and the results also show little consistency. Therefore, it is imperative to compare the levels of heavy metal exposure between the dementia-suffering group and a control group to confirm the correlation between the level of heavy metal exposure and the likelihood of dementia. Methods: In order to assess the dementia level of the elderly, the Global Deterioration Scale (GDS) and Mini Mental State Examination (MMSE) were applied. To analyze the concentration of heavy metals in the blood, blood was collected from the veins of study subjects and measured using Inductively Coupled Plasma-mass spectrometry (ICP-MS). Results: There was a statistically significant correlation between lead and manganese concentrations in the blood and the MMSE and GDS. It was found that there was a statistically significant correlation between cadmium concentration in the blood and the GDS, but the MMSE was less relevant. It was found that the blood mercury concentration and the MMSE and GDS were less relevant. The lead concentration in the blood was 0.95±0.74 ㎍/dL in the dementia patient group and 0.33±0.22 ㎍/dL in the normal group, while cadmium was 0.69±0.37 ㎍/L in the dementia group and 0.18±0.10 ㎍/L in the normal group. Mercury was 0.81±0.31 ㎍/L in the dementia group and 1.16±0.80 ㎍/L in the normal group. Manganese was 6.83±2.01 ㎍/L in the dementia group and 4.78±1.59 ㎍/L in the normal group. All of these show statistically significant differences. Conclusions: As the concentration of lead, cadmium and manganese in the blood increases, the MMSE scores and GDS scores were found to worsen, and it was confirmed that there is a correlation between heavy metal exposure and cognitive degradation.
Welders working in a confined space, like in the shipbuilding industry, are at risk of being exposed to high concentrations of welding fumes and developing pneumoconiosis or other welding-fume exposure related diseases. Among such diseases, manganism resulting from welding-fume exposure remains a controversial issue, as the movement of manganese into specific brain regions has not been clearly established. Accordingly, to investigate the distribution of manganese in the brain after welding-fume exposure, male Sprague Dawley rats were exposed to welding fumes generated from manual metal arc stainless steel (MMA-SS) at concentrations of $63.6{\pm}4.1$$mg/m^3$ (low dose, containing 1.6 $mg/m^3$ Mn) and $107.1{\pm}6.3$$mg/m^3$ (high dose, containing 3.5 $mg/m^3$ Mn) total suspended particulates for 2 hrs per day, in an inhalation chamber over a 60-day period. Blood, brain, lungs and liver samples were collected after 2 hr, 15, 30, and 60 days of exposure and the tissues analyzed for their manganese concentrations using an atomic absorption spectrophotometer. Although dose- and time-dependent increases in the manganese concentrations were found in the lungs and livers of the rats exposed for 60 days, only slight manganese increases were observed in the blood during this period. Major statistically significant increases in the brain manganese concentrations were detected in the cerebellum after 15 days of exposure and up until 60 days. Slight increases in the manganese concentrations were also found in the substantia nigra, basal ganglia (caudate nucleus, putamen, and globus pallidus), temporal cortex, and frontal cortex, thereby indicating that the pharmacokinetics and distribution of manganese inhaled from welding fumes would appear to be different from those resulting from manganese-only exposure.
Geometric mean of airborne welding fume concentration at technical high schools was 4.80mg/㎥)N.D~35.39 mg/ ㎥ and the percentage of samples exceeded TLV of the Korean ministry of labor was 43.6%, Geometric mean of airborne Mn concentration was 0.06 mg/㎥(N.D~0.42mg/㎥) and the percentage of samples exceeded TLV of ACGIH was 15.4 % In case of airborne Me concentration, there is a significant difference among schools (p<0.05) Mn concentrations in blood of the exposed and control groups were 1.84$\mu\textrm{g}$/dl and 1.91 mg/dl respectively. Mn concentrations in urine of the exposed and control groups were 1.36$\mu\textrm{g}$/ιand 0.57$\mu\textrm{g}$/ι respectively. In case of Mn concentrations in urine there is a significant difference between both groups(P<0.001) and among schools(p<0.05) Mn concentrations in blood and urine of exposed group were not over BEIs of the Korean ministry of labor. Mn levels in blood and urine were not significantly affected by smoking, drinking and residence, There was no correlation between Mn concentration in air and blood but there was a statistically significant correlation between Mn concentration in air urine(r=0.323). There was no a statistically significant correlation between Mn concentration in blood and urine.
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