Comparison of questionnaire-based estimation of pesticide residue intake from fruits and vegetables with urinary concentrations of pesticide biomarkers View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-02

AUTHORS

Yu-Han Chiu, Paige L Williams, Lidia Mínguez-Alarcón, Matthew Gillman, Qi Sun, Maria Ospina, Antonia M Calafat, Russ Hauser, Jorge E Chavarro

ABSTRACT

We developed a pesticide residue burden score (PRBS) based on a food frequency questionnaire and surveillance data on food pesticide residues to characterize dietary exposure over the past year. In the present study, we evaluated the association of the PRBS with urinary concentrations of pesticide biomarkers. Fruit and vegetable (FV) intake was classified as having high (PRBS≥4) or low (PRBS<4) pesticide residues for 90 men from the EARTH study. Two urine samples per man were analyzed for seven biomarkers of organophosphate and pyrethroid insecticides, and the herbicide 2,4-dichlorophenoxyacetic acid. We used generalized estimating equations to analyze the association of the PRBS with urinary concentrations of pesticide biomarkers. Urinary concentrations of pesticide biomarkers were positively related to high pesticide FV intake but inversely related to low pesticide FV intake. The molar sum of urinary concentrations of pesticide biomarkers was 21% (95% confidence interval (CI): 2%, 44%) higher for each one serving/day increase in high pesticide FV intake, and 10% (95% CI: 1%, 18%) lower for each one serving/day increase in low pesticide FV intake. Furthermore, intake of high pesticide FVs positively related to most individual urinary biomarkers. Our findings support the usefulness of the PRBS approach to characterize dietary exposure to select pesticides. More... »

PAGES

31

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/jes.2017.22

DOI

http://dx.doi.org/10.1038/jes.2017.22

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1091862509

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/28930298


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Turtle is a human-readable linked data format.

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RDF/XML is a standard XML format for linked data.

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319 https://www.grid.ac/institutes/grid.416778.b schema:alternateName National Center for Environmental Health
320 schema:name National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
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322 https://www.grid.ac/institutes/grid.453125.4 schema:alternateName Office of the Director
323 schema:name Environmental Influences on Child Health Outcomes Program, Office of the Director, National Institutes of Health, Rockville, Maryland, USA
324 rdf:type schema:Organization
325 https://www.grid.ac/institutes/grid.62560.37 schema:alternateName Brigham and Women's Hospital
326 schema:name Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
327 Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
328 Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
329 rdf:type schema:Organization
 




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