Document Detail


Measured versus modeled dietary arsenic and relation to urinary arsenic excretion and total exposure.
MedLine Citation:
PMID:  23321855     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Chronic exposure to arsenic (As) in food and water is a significant public health problem. Person-specific aggregate exposure is difficult to collect and modeling based on limited food As residue databases is of uncertain reliability. Two cross-sectional population exposure studies, the National Human Exposure Assessment Survey-Arizona and Arizona Border Survey, had a combined total of 252 subjects with diet, water, and urinary As data. Total As was measured in 24-h duplicate diet samples and modeled using 24-h diet diaries in conjunction with several published food surveys of As. Two-stage regression was used to assess the effects of dietary As on urinary total As (uAs): (1) generalized linear mixed models of uAs above versus below the limit of detection (LOD); and (2) restricted models limited to those subjects with uAs>LOD, using bootstrap sampling and mixed models adjusted for age, sex, body mass index, ethnicity, current smoking, and As intake from drinking and cooking water. In restricted models, measured and modeled estimates were significant predictors of uAs. Modeled dietary As based on Total Diet Study mean residues greatly underestimated the dietary intake. In households with tap water As ≤10 p.p.b., over 93% of total arsenic exposure was attributable to diet.
Authors:
Margaret Kurzius-Spencer; Mary K O'Rourke; Chiu-Hsieh Hsu; Vern Hartz; Robin B Harris; Jefferey L Burgess
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Publication Detail:
Type:  Journal Article; Research Support, U.S. Gov't, Non-P.H.S.     Date:  2013-01-16
Journal Detail:
Title:  Journal of exposure science & environmental epidemiology     Volume:  23     ISSN:  1559-064X     ISO Abbreviation:  J Expo Sci Environ Epidemiol     Publication Date:  2013 Jul 
Date Detail:
Created Date:  2013-06-19     Completed Date:  2013-12-09     Revised Date:  2014-06-03    
Medline Journal Info:
Nlm Unique ID:  101262796     Medline TA:  J Expo Sci Environ Epidemiol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  442-9     Citation Subset:  IM    
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MeSH Terms
Descriptor/Qualifier:
Adolescent
Adult
Aged
Aged, 80 and over
Arizona / epidemiology
Arsenic / urine*
Child
Cross-Sectional Studies
Diet / adverse effects,  statistics & numerical data*
Diet Surveys
Drinking Water / analysis
Environmental Exposure / analysis*
European Continental Ancestry Group / statistics & numerical data
Female
Hispanic Americans / statistics & numerical data
Humans
Limit of Detection
Linear Models
Male
Middle Aged
Models, Biological
Young Adult
Grant Support
ID/Acronym/Agency:
P30 CA023074/CA/NCI NIH HHS; P30 ES006694/ES/NIEHS NIH HHS
Chemical
Reg. No./Substance:
0/Drinking Water; N712M78A8G/Arsenic
Comments/Corrections

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