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      Personal Care Product Use in Men and Urinary Concentrations of Select Phthalate Metabolites and Parabens: Results from the Environment And Reproductive Health (EARTH) Study

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          Abstract

          Background:

          Personal care products (PCPs) are exposure sources to phthalates and parabens; however, their contribution to men’s exposure is understudied.

          Objectives:

          We examined the association between PCP use and urinary concentrations of phthalate metabolites and parabens in men.

          Methods:

          In a prospective cohort, at multiple study visits, men self-reported their use of 14 PCPs and provided a urine sample (2004–2015, Boston, MA). We measured urinary concentrations of 9 phthalate metabolites and methylparaben, propylparaben, and butylparaben. We estimated the covariate-adjusted percent change in urinary concentrations associated with PCP use using linear mixed and Tobit mixed regressions. We also estimated weights for each PCP in a weighted binary score regression and modeled the resulting composite weighted PCP use.

          Results:

          Four hundred men contributed 1,037 urine samples (mean of 3/man). The largest percent increase in monoethyl phthalate (MEP) was associated with use of cologne/perfume (83%, p - value < 0.01 ) and deodorant (74%, p - value < 0.01 ). In contrast, the largest percent increase for parabens was associated with the use of suntan/sunblock lotion (66–156%) and hand/body lotion (79–147%). Increases in MEP and parabens were generally greater with PCP use within 6 h of urine collection. A subset of 10 PCPs that were used within 6 h of urine collection contributed to at least 70% of the weighted score and predicted a 254–1,333% increase in MEP and parabens concentrations. Associations between PCP use and concentrations of the other phthalate metabolites were not statistically significant.

          Conclusions:

          We identified 10 PCPs of relevance and demonstrated that their use within 6 h of urine collection strongly predicted MEP and paraben urinary concentrations. https://doi.org/10.1289/EHP1374

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          Most cited references45

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          Estimation of Relationships for Limited Dependent Variables

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            Estimation of Average Concentration in the Presence of Nondetectable Values

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              Characterization of Weighted Quantile Sum Regression for Highly Correlated Data in a Risk Analysis Setting

              In risk evaluation, the effect of mixtures of environmental chemicals on a common adverse outcome is of interest. However, due to the high dimensionality and inherent correlations among chemicals that occur together, the traditional methods (e.g. ordinary or logistic regression) suffer from collinearity and variance inflation, and shrinkage methods have limitations in selecting among correlated components. We propose a weighted quantile sum (WQS) approach to estimating a body burden index, which identifies "bad actors" in a set of highly correlated environmental chemicals. We evaluate and characterize the accuracy of WQS regression in variable selection through extensive simulation studies through sensitivity and specificity (i.e., ability of the WQS method to select the bad actors correctly and not incorrect ones). We demonstrate the improvement in accuracy this method provides over traditional ordinary regression and shrinkage methods (lasso, adaptive lasso, and elastic net). Results from simulations demonstrate that WQS regression is accurate under some environmentally relevant conditions, but its accuracy decreases for a fixed correlation pattern as the association with a response variable diminishes. Nonzero weights (i.e., weights exceeding a selection threshold parameter) may be used to identify bad actors; however, components within a cluster of highly correlated active components tend to have lower weights, with the sum of their weights representative of the set.
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                Author and article information

                Journal
                Environ Health Perspect
                Environ. Health Perspect
                EHP
                Environmental Health Perspectives
                Environmental Health Perspectives
                0091-6765
                1552-9924
                18 August 2017
                August 2017
                : 125
                : 8
                : 087012
                Affiliations
                [ 1 ]Department of Environmental Health, Harvard T.H. Chan School of Public Health , Boston, Massachusetts, USA
                [ 2 ]Department of Biostatistics, Harvard T.H. Chan School of Public Health , Boston, Massachusetts, USA
                [ 3 ]Department of Nutrition, Harvard T.H. Chan School of Public Health , Boston, Massachusetts, USA
                [ 4 ]Channing Division of Network Medicine, Brigham and Women’s Hospital & Harvard Medical School , Boston, Massachusetts, USA
                [ 5 ]Department of Epidemiology, Harvard T.H. Chan School of Public Health , Boston, Massachusetts, USA
                [ 6 ]Department of Growth and Reproduction & EDMaRC, Rigshospitalet University of Copenhagen , Copenhagen, Denmark
                [ 7 ]National Center for Environmental Health, Centers for Disease Control and Prevention , Atlanta, Georgia, USA
                [ 8 ]Department of Epidemiology, School of Public Health, Brown University , Providence, Rhode Island, USA
                [ 9 ]Vincent Obstetrics and Gynecology, Massachusetts General Hospital and Harvard Medical School , Boston, Massachusetts, USA
                Author notes
                Address correspondence to F.L. Nassan, Dept. of Environmental Health, Harvard T.H. Chan School of Public Health, 665 Huntington Ave., Building 1, Room 1406, Boston, MA 02115 USA. Telephone: (857) 244-3312. Email: fen769@ 123456mail.harvard.edu
                Article
                EHP1374
                10.1289/EHP1374
                5783668
                28886595
                d225f8e3-0a05-41ff-a581-859ffe4df0ee

                EHP is an open-access journal published with support from the National Institute of Environmental Health Sciences, National Institutes of Health. All content is public domain unless otherwise noted.

                History
                : 16 November 2016
                : 05 April 2017
                : 06 April 2017
                Categories
                Research

                Public health
                Public health

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