Literature DB >> 22119327

Methyl mercury exposure from fish consumption in vulnerable racial/ethnic populations: probabilistic SHEDS-Dietary model analyses using 1999-2006 NHANES and 1990-2002 TDS data.

Jianping Xue1, Valerie G Zartarian, Shi V Liu, Andrew M Geller.   

Abstract

NHANES subjects self-identified as "Asian, Pacific Islander, Native American, or multiracial" (A/P/N/M) have higher levels of blood organic mercury than other racial/ethnic groups; however, the reasons for this have been unclear. This research uses exposure modeling to determine the reasons for elevated blood methylmercury (MeHg) levels, and also extends previous analyses of observed NHANES blood levels. The probabilistic SHEDS-Dietary model was applied, using MeHg fish residue data from FDA's Total Diet Study (1990-2002) combined with NHANES/WWEIA (1999-2006) fish consumption data, to generate exposure estimates by race/ethnicity, age group, and fish type. Statistical analyses of blood methylmercury levels in the (6 times larger) 1999-2006 NHANES data were compared against previous published results for 1999-2002 data. The A/P/N/M group has higher fish intake, modeled MeHg exposures, and blood levels than the general population and other racial/ethnic groups. Tuna, other saltwater fish, and other freshwater fish are key food types driving dietary MeHg exposure. The 1-<3 years-old A/P/N/M group has the highest mean dietary MeHg intake per body weight (0.06 μg/kg/day; ~2.3 times higher than the rest of the population). Fish intake and modeled exposure predictions correlate well with NHANES blood biomarker levels. This study, using the SHEDS-Dietary model with national data, reinforces and expands upon previous observations that dietary exposure via fish consumption is an important route for methylmercury intake by the general population, and especially for racial/ethnic groups with higher fish consumption. These probabilistic dietary modeling approaches could be applied for local populations (e.g., tribes) and other chemicals and foods, if data are available. Published by Elsevier B.V.

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Year:  2011        PMID: 22119327     DOI: 10.1016/j.scitotenv.2011.10.010

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  15 in total

1.  The influence of obesity on blood mercury levels for U.S. non-pregnant adults and children: NHANES 2007-2010.

Authors:  Sarah E Rothenberg; Susan A Korrick; Raja Fayad
Journal:  Environ Res       Date:  2015-02-24       Impact factor: 6.498

2.  Estimating Methylmercury Intake for the General Population of South Korea Using Physiologically Based Pharmacokinetic Modeling.

Authors:  Seungho Lee; Yu-Mei Tan; Martin B Phillips; Jon R Sobus; Sungkyoon Kim
Journal:  Toxicol Sci       Date:  2017-09-01       Impact factor: 4.849

3.  Determination of parent and hydroxy PAHs in personal PM₂.₅ and urine samples collected during Native American fish smoking activities.

Authors:  Oleksii Motorykin; Jill Schrlau; Yuling Jia; Barbara Harper; Stuart Harris; Anna Harding; David Stone; Molly Kile; Daniel Sudakin; Staci L Massey Simonich
Journal:  Sci Total Environ       Date:  2014-10-30       Impact factor: 7.963

4.  Analysis of NHANES measured blood PCBs in the general US population and application of SHEDS model to identify key exposure factors.

Authors:  Jianping Xue; Shi V Liu; Valerie G Zartarian; Andrew M Geller; Bradley D Schultz
Journal:  J Expo Sci Environ Epidemiol       Date:  2014-01-15       Impact factor: 5.563

5.  Total and methyl mercury in whole blood measured for the first time in the U.S. population: NHANES 2011-2012.

Authors:  Mary E Mortensen; Samuel P Caudill; Kathleen L Caldwell; Cynthia D Ward; Robert L Jones
Journal:  Environ Res       Date:  2014-08-29       Impact factor: 6.498

6.  Quantifying children's aggregate (dietary and residential) exposure and dose to permethrin: application and evaluation of EPA's probabilistic SHEDS-Multimedia model.

Authors:  Valerie Zartarian; Jianping Xue; Graham Glen; Luther Smith; Nicolle Tulve; Rogelio Tornero-Velez
Journal:  J Expo Sci Environ Epidemiol       Date:  2012-03-21       Impact factor: 5.563

7.  Umbilical cord blood and placental mercury, selenium and selenoprotein expression in relation to maternal fish consumption.

Authors:  Christy L Gilman; Reni Soon; Lynnae Sauvage; Nicholas V C Ralston; Marla J Berry
Journal:  J Trace Elem Med Biol       Date:  2015-01-21       Impact factor: 3.849

8.  Maternal mercury exposure, season of conception and adverse birth outcomes in an urban immigrant community in Brooklyn, New York, U.S.A.

Authors:  Cynthia J Bashore; Laura A Geer; Xin He; Robin Puett; Patrick J Parsons; Christopher D Palmer; Amy J Steuerwald; Ovadia Abulafia; Mudar Dalloul; Amir Sapkota
Journal:  Int J Environ Res Public Health       Date:  2014-08-18       Impact factor: 3.390

9.  Relationship between dietary mercury intake and blood mercury level in Korea.

Authors:  Chang-Hun You; Byoung-Gwon Kim; Yu-Mi Kim; Sang-Ah Lee; Rock-Bum Kim; Jeong-Wook Seo; Young-Seoub Hong
Journal:  J Korean Med Sci       Date:  2014-01-28       Impact factor: 2.153

10.  Population correlates of circulating mercury levels in Korean adults: the Korea National Health and Nutrition Examination Survey IV.

Authors:  Seongbeom Cho; David R Jacobs; Kyong Park
Journal:  BMC Public Health       Date:  2014-05-29       Impact factor: 3.295

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