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Diet and Nondiet Predictors of Urinary 3-Phenoxybenzoic Acid in NHANES 1999--2002.

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Title: Diet and Nondiet Predictors of Urinary 3-Phenoxybenzoic Acid in NHANES 1999--2002.
Authors: Riederer, Anne M.1 arieder@sph.emory.edu, Bartell, Scott M.1,2, Barr, Dana B.3, Ryan, Barry1
Source: Environmental Health Perspectives. Aug2008, Vol. 116 Issue 8, p1015-1022. 8p. 1 Diagram, 3 Charts, 3 Graphs.
Subject Terms: *Pyrethroids, *Physiological effects of pesticides, *Food toxicology, *Food contamination, *Physiology, Metabolites, Urinalysis, Regression analysis data processing, Diet, Tobacco & health, Cytochrome P-450
Abstract: BACKGROUND: 3-Phenoxybenzoic acid (3PBA), a pyrethroid metabolite, was detected in 75% of urine samples analyzed for pesticides in the U.S. National Health and Nutrition Examination Survey (NHANES) 1999--2002. NHANES also includes 24-hr diet data and information on household pesticide use, activities, occupation, demographics, and other exposure factors. OBJECTIVES: The objective of our study was to explore the relative importance of diet versus nondiet predictors in explaining variability in urinary 3PBA. A secondary objective was to explore whether the NHANES data could be used to identify particular foods driving 3PBA levels. METHODS: We divided subjects into child (6--10 years of age), teen (11--18 years), and adult (≥ 19 years) age groups and restricted our analyses to subjects in the morning sampling session who fasted for ≥ 8 hr beforehand. Regression modeling consisted of several model-building steps and a final Tobit regression on the left-censored log 3PBA measurements. We also conducted bootstrap analyses to evaluate the stability of the regression parameters. RESULTS: Reported household pesticide use was not significantly associated with urinary 3PBA in any age group. Diet was significant for all three groups, and certain foods appeared to contribute more than others. Among adults, tobacco use was positively associated with 3PBA (p = 0.0326), and positive associations were suggested with the number of cytochrome p450--inhibiting medications taken (p = 0.0652) and minutes spent gardening (p = 0.0613) in the past month. CONCLUSIONS: Although exploratory, our findings underline the importance of collecting accurate data on household pesticide use and dietary intake when evaluating pyrethroid exposure--biomarker relationships. [ABSTRACT FROM AUTHOR]
Copyright of Environmental Health Perspectives is the property of National Institute of Environmental Health Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Diet and Nondiet Predictors of Urinary 3-Phenoxybenzoic Acid in NHANES 1999--2002.
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  Data: <searchLink fieldCode="AR" term="%22Riederer%2C+Anne+M%2E%22">Riederer, Anne M.</searchLink><relatesTo>1</relatesTo><i> arieder@sph.emory.edu</i><br /><searchLink fieldCode="AR" term="%22Bartell%2C+Scott+M%2E%22">Bartell, Scott M.</searchLink><relatesTo>1,2</relatesTo><br /><searchLink fieldCode="AR" term="%22Barr%2C+Dana+B%2E%22">Barr, Dana B.</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Ryan%2C+Barry%22">Ryan, Barry</searchLink><relatesTo>1</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Environmental+Health+Perspectives%22">Environmental Health Perspectives</searchLink>. Aug2008, Vol. 116 Issue 8, p1015-1022. 8p. 1 Diagram, 3 Charts, 3 Graphs.
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  Data: *<searchLink fieldCode="DE" term="%22Pyrethroids%22">Pyrethroids</searchLink><br />*<searchLink fieldCode="DE" term="%22Physiological+effects+of+pesticides%22">Physiological effects of pesticides</searchLink><br />*<searchLink fieldCode="DE" term="%22Food+toxicology%22">Food toxicology</searchLink><br />*<searchLink fieldCode="DE" term="%22Food+contamination%22">Food contamination</searchLink><br />*<searchLink fieldCode="DE" term="%22Physiology%22">Physiology</searchLink><br /><searchLink fieldCode="DE" term="%22Metabolites%22">Metabolites</searchLink><br /><searchLink fieldCode="DE" term="%22Urinalysis%22">Urinalysis</searchLink><br /><searchLink fieldCode="DE" term="%22Regression+analysis+data+processing%22">Regression analysis data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Diet%22">Diet</searchLink><br /><searchLink fieldCode="DE" term="%22Tobacco+%26+health%22">Tobacco & health</searchLink><br /><searchLink fieldCode="DE" term="%22Cytochrome+P-450%22">Cytochrome P-450</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: BACKGROUND: 3-Phenoxybenzoic acid (3PBA), a pyrethroid metabolite, was detected in 75% of urine samples analyzed for pesticides in the U.S. National Health and Nutrition Examination Survey (NHANES) 1999--2002. NHANES also includes 24-hr diet data and information on household pesticide use, activities, occupation, demographics, and other exposure factors. OBJECTIVES: The objective of our study was to explore the relative importance of diet versus nondiet predictors in explaining variability in urinary 3PBA. A secondary objective was to explore whether the NHANES data could be used to identify particular foods driving 3PBA levels. METHODS: We divided subjects into child (6--10 years of age), teen (11--18 years), and adult (≥ 19 years) age groups and restricted our analyses to subjects in the morning sampling session who fasted for ≥ 8 hr beforehand. Regression modeling consisted of several model-building steps and a final Tobit regression on the left-censored log 3PBA measurements. We also conducted bootstrap analyses to evaluate the stability of the regression parameters. RESULTS: Reported household pesticide use was not significantly associated with urinary 3PBA in any age group. Diet was significant for all three groups, and certain foods appeared to contribute more than others. Among adults, tobacco use was positively associated with 3PBA (p = 0.0326), and positive associations were suggested with the number of cytochrome p450--inhibiting medications taken (p = 0.0652) and minutes spent gardening (p = 0.0613) in the past month. CONCLUSIONS: Although exploratory, our findings underline the importance of collecting accurate data on household pesticide use and dietary intake when evaluating pyrethroid exposure--biomarker relationships. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Environmental Health Perspectives is the property of National Institute of Environmental Health Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1289/ehp.11082
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      – SubjectFull: Physiological effects of pesticides
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      – SubjectFull: Metabolites
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      – SubjectFull: Urinalysis
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      – SubjectFull: Regression analysis data processing
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      – SubjectFull: Diet
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      – SubjectFull: Tobacco & health
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      – SubjectFull: Cytochrome P-450
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      – TitleFull: Diet and Nondiet Predictors of Urinary 3-Phenoxybenzoic Acid in NHANES 1999--2002.
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              Text: Aug2008
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