• Title/Summary/Keyword: urinary mercury level

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Mercury Exposure Factors among Residents in the Highly Mercury Exposed Area, Seoksan-ri, Korea (수은 고노출지역 주민의 수은노출요인과 노출량 변화에 관한 연구)

  • KIM, Dae Seon;Kwon, Young Min;Chung, Hee-Ung;CHOI, Kyunghee
    • Journal of Environmental Health Sciences
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    • v.41 no.5
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    • pp.349-357
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    • 2015
  • Objectives: The 2007 Korea National Survey for Environmental Pollutants in the Human Body found the highest blood mercury levels nationwide among residents in Seoksan-ri, Goro-myeon, Gunwi-gun, Gyeonsangbuk-do. With the aim to reduce the blood mercury levels of residents in this region, we conducted this study to identify the association between mercury exposure levels and shark meat consumption. Methods: This survey was conducted with 118 participants in Seoksan-ri before the Chuseok festival and 113 residents were added afterwards. Information on participants was collected via questionnaires. Total mercury concentrations in biological samples were measured using a mercury analyzer with the gold-amalgam collection method. Results: To identify this, we conducted mercury exposure level analysis before and after the Chuseok festival and found that blood and urinary mercury levels after Chuseok (GM of $6.9{\mu}g/L$ in blood and $1.68{\mu}g/g$_cr in urine) were higher than those before (GM of $5.29{\mu}g/L$ in blood and $1.44{\mu}g/g$_cr in urine). This area maintains a custom of using shark meat as one of the ancestral rite foods, and the performance of such rites and shark meat consumption have been identified as main sources of mercury exposure. Other than this, smoking, dental amalgam treatment and residential period in the area also contributed to an increase in mercury exposure levels. On the other hand, recent consumption of oriental medicine and vaccination did not have a significant influence on mercury levels. Conclusion: The results were attributed to the local custom of consuming shark meat with high mercury concentrations during rituals taking place during the festival and ancestral rites. Given that the blood mercury levels in 23.2% of the residents exceeded the HBM II values recommended by the German Commission on Human Biological Monitoring, it is suggested that further appropriate actions and follow-up measures be taken to reduce the mercury exposure levels of the residents that exceeded the reference values.

The Association between HbA1c and the Biological Exposure Index for Heavy Metals in Community (지역사회 주민의 당화혈색소와 중금속 생체표지자와의 관련성)

  • Min, Young-Sun;Lee, Kwan
    • Journal of agricultural medicine and community health
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    • v.47 no.3
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    • pp.181-188
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    • 2022
  • Objectives: The prevalence of diabetes mellitus was approximately 16% in populations of over age 30 years, and deaths from diabetes mellitus became the sixth most prevalent cause of death by disease. To assess the relationship between HbA1c and heavy metal level in blood and urine, targeted residents were evaluated in a vast steel industrial complex. Methods: We selected 414 subjects for analysis after applying the following exclusion criterion: 18 persons with diabetes mellitus. They took part in a questionnaire survey and underwent blood and urinary assessments. HbA1c and lead (Pb) level were measured in blood and, cadmium (Cd), inorganic arsenic (iAs) and mercury (Hg) were evaluated in urine. Two subgroups were divided by HbA1c 6.5%. Each subgroup was divided by 10th, 20th, 30th, 40th, 50th, 60th, 70th, 80th and 90th percentile levels of biological exposure index of the heavy metals for logistic regression. Results: Odd ratios have a tendency to increase as they go from the 90th to the 10th percentile of cadmium. However, lead, arsenic and mercury did not have significant relationships with HbA1c. In correction of age, region, gender and smoking history, a higher distribution in the subgroup with cadmium above 0.8318 ㎍/g creatinine (30th percentile) was demonstrated in the subgroup with HbA1c levels above the 6.5%, with an odds ratio of 5.26 (95% C.I. ; 1.44~19.17). Conclusion: This study found a significant correlation between urinary levels of cadmium and HbA1c in correction of several factors. It is meaningful that this outcome may be used as a basis for a study to establish the acceptable limit of urinary cadmium in Korea.

Evaluation of the Relationship between the Exposure Level to Mixed Hazardous Heavy Metals and Health Effects Using Factor Analysis (요인분석을 이용한 유해 중금속 복합 노출수준과 건강영향과의 관련성 평가)

  • Kim, Eunseop;Moon, Sun-In;Yim, Dong-Hyuk;Choi, Byung-Sun;Park, Jung-Duck;Eom, Sang-Yong;Kim, Yong-Dae;Kim, Heon
    • Journal of Environmental Health Sciences
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    • v.48 no.4
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    • pp.236-243
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    • 2022
  • Background: In the case of multiple exposures to different types of heavy metals, such as the conditions faced by residents living near a smelter, it would be preferable to group hazardous substances with similar characteristics rather than individually related substances and evaluate the effects of each group on the human body. Objectives: The purpose of this study is to evaluate the utility of factor analysis in the assessment of health effects caused by exposure to two or more hazardous substances with similar characteristics, such as in the case of residents living near a smelter. Methods: Heavy metal concentration data for 572 people living in the vicinity of the Janghang smelter area were grouped based on several subfactors according to their characteristics using factor analysis. Using these factor scores as an independent variable, multiple regression analysis was performed on health effect markers. Results: Through factor analysis, three subfactors were extracted. Factor 1 contained copper and zinc in serum and revealed a common characteristic of the enzyme co-factor in the human body. Factor 2 involved urinary cadmium and arsenic, which are harmful metals related to kidney damage. Factor 3 encompassed blood mercury and lead, which are classified as related to cardiovascular disease. As a result of multiple linear regression analysis, it was found that using the factor index derived through factor analysis as an independent variable is more advantageous in assessing the relevance to health effects than when analyzing the two heavy metals by including them in a single regression model. Conclusions: The results of this study suggest that regression analysis linked with factor analysis is a good alternative in that it can simultaneously identify the effects of heavy metals with similar properties while overcoming multicollinearity that may occur in environmental epidemiologic studies on exposure to various types of heavy metals.