Validation of estimates of past exposure to arsenic in drinking water using historical urinary arsenic concentrations. 2013

Katherine A James, and Jaymie R Meliker, and Julie A Marshall, and John E Hokanson, and Gary O Zerbe, and Tim E Byers
Department of Family Medicine, University of Colorado Denver, Mail Stop F443, 13991 E Montview Ave, Aurora, Colorado, 80045, USA. Kathy.James@ucdenver.edu

Consumption of inorganic arsenic in drinking water at high levels has been associated with chronic diseases. Research groups have estimated historic exposure using databases and models of arsenic in drinking water supplies, along with participant residential histories. Urinary arsenic species are an established biomarker of recent exposure; we compare arsenic concentrations in historically collected urine samples with predicted estimates of arsenic exposure. Using a cohort of 462 subjects with at least one urine sample collected from 1984-1992 and an arsenic exposure estimate through drinking water at the time of the urine sample, individual exposure estimates were compared with speciated urine arsenic (UAs) concentrations using correlation and multiple regression analyses. Urine inorganic arsenic (UIAs) concentrations (trivalent arsenic, pentavalent arsenic, monomethylarsonic acid, dimethylarsonic acid) were best predicted by residential water arsenic concentrations (R(2)=0.3688), compared with metrics including water consumption (R(2)=0.2038) or water concentrations at employment locations (R(2)=0.2331). UIAs concentrations showed similar correlation when stratified by whether the arsenic concentration was predicted or measured. Residential water arsenic concentrations, independent of water intake or water concentrations at places of employment, best explain the variability in UIAs concentrations, suggesting historical reconstruction of arsenic exposure that accounts for space-time variability and water concentrations may serve as a proxy for exposure.

UI MeSH Term Description Entries
D008297 Male Males
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D012044 Regression Analysis Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable. Regression Diagnostics,Statistical Regression,Analysis, Regression,Analyses, Regression,Diagnostics, Regression,Regression Analyses,Regression, Statistical,Regressions, Statistical,Statistical Regressions
D003120 Colorado State bounded on the north by Wyoming and Nebraska, on the east by Kansas and Nebraska, on the south by New Mexico and Oklahoma, and on the west by Utah.
D004781 Environmental Exposure The exposure to potentially harmful chemical, physical, or biological agents in the environment or to environmental factors that may include ionizing radiation, pathogenic organisms, or toxic chemicals. Exposure, Environmental,Environmental Exposures,Exposures, Environmental
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000328 Adult A person having attained full growth or maturity. Adults are of 19 through 44 years of age. For a person between 19 and 24 years of age, YOUNG ADULT is available. Adults
D000368 Aged A person 65 years of age or older. For a person older than 79 years, AGED, 80 AND OVER is available. Elderly
D000369 Aged, 80 and over Persons 80 years of age and older. Oldest Old

Related Publications

Katherine A James, and Jaymie R Meliker, and Julie A Marshall, and John E Hokanson, and Gary O Zerbe, and Tim E Byers
April 2012, International journal of environmental research and public health,
Katherine A James, and Jaymie R Meliker, and Julie A Marshall, and John E Hokanson, and Gary O Zerbe, and Tim E Byers
April 1998, Archives of environmental contamination and toxicology,
Katherine A James, and Jaymie R Meliker, and Julie A Marshall, and John E Hokanson, and Gary O Zerbe, and Tim E Byers
September 2003, International journal of environmental health research,
Katherine A James, and Jaymie R Meliker, and Julie A Marshall, and John E Hokanson, and Gary O Zerbe, and Tim E Byers
October 2005, Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology,
Katherine A James, and Jaymie R Meliker, and Julie A Marshall, and John E Hokanson, and Gary O Zerbe, and Tim E Byers
May 2016, Environmental science. Processes & impacts,
Katherine A James, and Jaymie R Meliker, and Julie A Marshall, and John E Hokanson, and Gary O Zerbe, and Tim E Byers
June 2005, Environmental research,
Katherine A James, and Jaymie R Meliker, and Julie A Marshall, and John E Hokanson, and Gary O Zerbe, and Tim E Byers
January 2012, Journal of exposure science & environmental epidemiology,
Katherine A James, and Jaymie R Meliker, and Julie A Marshall, and John E Hokanson, and Gary O Zerbe, and Tim E Byers
August 2014, The Science of the total environment,
Katherine A James, and Jaymie R Meliker, and Julie A Marshall, and John E Hokanson, and Gary O Zerbe, and Tim E Byers
April 2015, The Science of the total environment,
Katherine A James, and Jaymie R Meliker, and Julie A Marshall, and John E Hokanson, and Gary O Zerbe, and Tim E Byers
September 2011, The Kaohsiung journal of medical sciences,
Copied contents to your clipboard!