Literature DB >> 29055217

Trends in and factors affecting the observed levels of urinary inorganic and total blood mercury among US children, adolescents, adults, and senior citizens over 2005-2012.

Ram B Jain1.   

Abstract

Data from National Health and Nutrition Examination Survey (NHANES) for 2005-2012 were used to (i) study adjusted and unadjusted trends in the levels of urinary inorganic mercury (UIHG) and total blood mercury (TBHG) and (ii) factors that affect the observed levels of UIHG and TBHG among children aged 1-5 (CHLD15) and 6-11 (CHLD611) years, adolescents aged 12-19 years (ADOL), adults aged 20-64 years (ADLT), and senior citizens aged >=65 years (SNR). Decrease in adjusted levels of UIHG for each 2-year NHANES cycle for CHLD611 was 0.08114ng/L, 0.08379ng/L for ADOLs, and 0.12ng/L for ADLTs. Decreases in adjusted levels (AGM) of TBHG for each 2-year NHANES cycle were: 0.0632ng/L for CHLD15, 0.10239ng/L for CHLD611, 0.06424ng/L for ADOLs, and 0.056088ng/L for ADLTs. Among CHLD15 (0.34 vs. 0.39μg/L, p<0.01) and CHLD611 (0.42 vs. 0.44μg/L, p=0.04), males had lower AGMs for TBHG than females but among ADLTs (0.84 vs. 0.80μg/L, p<0.01) and SNRs (0.82 vs. 0.71μg/L, p<0.01) the reverse was true. For UIHG, for ADLTs (0.33 vs. 0.45μg/L, p<0.01) and SNRs (0.27 vs. 0.35μg/L, p<0.01) males had lower AGMs than females. Irrespective of age, those who were in unclassified race/ethnic group had the highest AGMs when compared with non-Hispanic whites, non-Hispanic blacks, and Mexican Americans and the differences, more often than not, were statistically significant (p<0.01). Irrespective of age, fish and shellfish consumption during the last 30days was associated with higher AGMs for both UIHG and TBHG than when fish and shellfish were not consumed and the differences were always statistically significant (p<0.01). Nonsmoker ADLTs (0.86 vs. 0.78μg/L, p<0.01) and SNRs (0.83 vs. 0.71μg/L, p<0.01) were found to have higher adjusted levels of TBHG than smokers. It is hypothesized that constituents in tobacco smoke may accelerate excretion of mercury from the body.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Fish/shellfish consumption; Mercury metabolism; Race/ethnicity; Tobacco smoke; Total blood mercury

Mesh:

Substances:

Year:  2017        PMID: 29055217     DOI: 10.1016/j.etap.2017.09.003

Source DB:  PubMed          Journal:  Environ Toxicol Pharmacol        ISSN: 1382-6689            Impact factor:   4.860


  3 in total

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Authors:  Ram B Jain
Journal:  Environ Sci Pollut Res Int       Date:  2019-08-16       Impact factor: 4.223

2.  Exposure to uranium and co-occurring metals among pregnant Navajo women.

Authors:  Joseph H Hoover; Esther Erdei; David Begay; Melissa Gonzales; Jeffery M Jarrett; Po-Yung Cheng; Johnnye Lewis
Journal:  Environ Res       Date:  2020-07-17       Impact factor: 6.498

3.  Blood Mercury Levels in Children with Kawasaki Disease and Disease Outcome.

Authors:  Ling-Sai Chang; Jia-Huei Yan; Jin-Yu Li; Deniz Des Yeter; Ying-Hsien Huang; Mindy Ming-Huey Guo; Mao-Hung Lo; Ho-Chang Kuo
Journal:  Int J Environ Res Public Health       Date:  2020-05-25       Impact factor: 3.390

  3 in total

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