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Predictors of Urinary Arsenic Levels among Postmenopausal Danish Women

Bibliographic Data

ID15467246
AuthorsNina Roswall (0000-0003-3071-1658, Danish Cancer Society), Ulla Arthur Hvidtfeldt (0000-0002-0335-4838, Danish Cancer Society), James M Harrington (0000-0002-8660-2613, RTI International), Keith E Levine (0000-0001-7976-916X, RTI International), Mette Sørensen (0000-0002-7302-4789, Roskilde University), Anne Tjønneland (0000-0003-4385-2097, Danish Cancer Society), Jaymie R Meliker (0000-0002-6408-8596, Stony Brook University), Ole Raaschou‐Nielsen (0000-0002-1223-0909, Aarhus University, corresponding author)
Year2018
Volume15
Issue7
Pages1340-1340
Publication date2018-06-26
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph15071340
PMID29949863
OpenAlexW2811436403
LanguageEN
References cited1

Arsenic is a risk factor for several noncommunicable diseases, even at low doses. Urinary arsenic (UAs) concentration is a good biomarker for internal dose, and demographic, dietary, and lifestyle factors are proposed predictors in nonoccupationally exposed populations. However, most predictor studies are limited in terms of size and number of predictors. We investigated demographic, dietary, and lifestyle determinants of UAs concentrations in 744 postmenopausal Danish women who had UAs measurements and questionnaire data on potential predictors. UAs concentrations were determined using mass spectrometry (ICP-MS), and determinants of the concentration were investigated using univariate and multivariate regression models. We used a forward selection procedure for model optimization. In all models, fish, alcohol, and poultry intake were associated with higher UAs concentration, and tap water, fruit, potato, and dairy intake with lower concentration. A forward regression model explained 35% ( R 2) of the variation in concentrations. Age, smoking, education, and area of residence did not predict concentration. The results were relatively robust across sensitivity analyses. The study suggested that UAs concentration in postmenopausal women was primarily determined by dietary factors, with fish consumption showing the strongest direct association. However, the majority of variation in UAs concentration in this study population is still unexplained

Arsenic · Danish · Environmental health · Postmenopausal women · Urinary system · Arsenic contamination and mitigation · Chemistry · Demography · Fluoride Effects and Removal · Heavy Metal Exposure and Toxicity · Medicine · Internal Medicine

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