Bisphenol A and Adiposity in an Inner-City Birth Cohort

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Abstract

Background: Early-life exposure to the endocrine disruptor bisphenol A (BPA) may contribute to the development of obesity. Prospective evidence in humans on this topic is limited. Objectives: We examined prenatal and early-childhood BPA exposures in relation to childhood measures of adiposity in the Columbia Center for Children’s Environmental Health (CCCEH) New York City birth cohort. Methods: BPA concentrations were measured in prenatal (n = 375) and child ages 3 (n = 408) and 5 years (n = 518) spot urine samples. Childhood anthropometric and bioelectrical impedance outcomes included body mass index z-scores (BMIZ) at 5 and 7 years, and fat mass index (FMI), percent body fat (%BF), and waist circumference (WC) at 7 years. Associations were evaluated using multiple linear regression with continuous and tertile BPA concentrations. Results: Prenatal urinary BPA concentrations were positively associated with child age 7 FMI (β = 0.31 kg/m2; 95% CI: 0.01, 0.60, p = 0.04), %BF (β = 0.79; 95% CI: 0.03, 1.55, p = 0.04), and WC (β = 1.29 cm; 95% CI: 0.29, 2.30, p = 0.01), but not BMIZ, or change in BMIZ between ages 5 and 7 years (all p-values > 0.1). FMI results were sex-specific. Child urinary BPA concentrations were not associated with child anthropometric outcomes (all p-values > 0.05). Conclusions: Analyses of the CCCEH longitudinal birth cohort found associations between prenatal urinary BPA concentrations and FMI, %BF, and WC. Our results suggest that prenatal BPA exposure may contribute to developmental origins of adiposity. These findings are consistent with several prior studies, raising concern about the pervasiveness of BPA. Citation: Hoepner LA, Whyatt RM, Widen EM, Hassoun A, Oberfield SE, Mueller NT, Diaz D, Calafat AM, Perera FP, Rundle AG. 2016. Bisphenol A and adiposity in an inner-city birth cohort. Environ Health Perspect 124:1644–1650; http://dx.doi.org/10.1289/EHP205

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Most cited references 62

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Exposure of the U.S. Population to Bisphenol A and 4-tertiary-Octylphenol: 2003–2004

Antonia M Calafat, Xiaoyun Ye, Lee-Yang Wong … (2007)

Background Bisphenol A (BPA) and 4-tertiary-octylphenol (tOP) are industrial chemicals used in the manufacture of polycarbonate plastics and epoxy resins (BPA) and nonionic surfactants (tOP). These products are in widespread use in the United States. Objectives We aimed to assess exposure to BPA and tOP in the U.S. general population. Methods We measured the total (free plus conjugated) urinary concentrations of BPA and tOP in 2,517 participants ≥ 6 years of age in the 2003–2004 National Health and Nutrition Examination Survey using automated solid-phase extraction coupled to isotope dilution–high-performance liquid chromatography–tandem mass spectrometry. Results BPA and tOP were detected in 92.6% and 57.4% of the persons, respectively. Least square geometric mean (LSGM) concentrations of BPA were significantly lower in Mexican Americans than in non-Hispanic blacks (p = 0.006) and non-Hispanic whites (p = 0.007); LSGM concentrations for non-Hispanic blacks and non-Hispanic whites were not statistically different (p = 0.21). Females had statistically higher BPA LSGM concentrations than males (p = 0.043). Children had higher concentrations than adolescents (p $45,000/year). Conclusions Urine concentrations of total BPA differed by race/ethnicity, age, sex, and household income. These first U.S. population representative concentration data for urinary BPA and tOP should help guide public health research priorities, including studies of exposure pathways, potential health effects, and risk assessment.

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Marginal structural models and causal inference in epidemiology.

J M Robins, M A Hernán, B Brumback (2000)

In observational studies with exposures or treatments that vary over time, standard approaches for adjustment of confounding are biased when there exist time-dependent confounders that are also affected by previous treatment. This paper introduces marginal structural models, a new class of causal models that allow for improved adjustment of confounding in those situations. The parameters of a marginal structural model can be consistently estimated using a new class of estimators, the inverse-probability-of-treatment weighted estimators.

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Human exposure to bisphenol A (BPA).

Laura Vandenberg, Russ Hauser, Michele Marcus … (2007)

The plastic monomer and plasticizer bisphenol A (BPA) is one of the highest volume chemicals produced worldwide. BPA is used in the production of polycarbonate plastics and epoxy resins used in many consumer products. Here, we have outlined studies that address the levels of BPA in human tissues and fluids. We have reviewed the few epidemiological studies available that explore biological markers of BPA exposure and human health outcomes. We have examined several studies of levels of BPA released from consumer products as well as the levels measured in wastewater, drinking water, air and dust. Lastly, we have reviewed acute metabolic studies and the information available about BPA metabolism in animal models. The reported levels of BPA in human fluids are higher than the BPA concentrations reported to stimulate molecular endpoints in vitro and appear to be within an order of magnitude of the levels needed to induce effects in animal models.

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Author and article information

Journal

Title: Environmental Health Perspectives

Abbreviated Title: Environmental Health Perspectives

Publisher: Environmental Health Perspectives

ISSN (Print): 0091-6765

ISSN (Electronic): 1552-9924

Publication date Created: October 2016

Publication date (Print): October 2016

Volume: 124

Issue: 10

Pages: 1644-1650

Affiliations

[1 ]Department of Environmental Health Sciences, and

[2 ]Columbia Center for Children’s Environmental Health, Mailman School of Public Health, Columbia University, New York, New York, USA

[3 ]Department of Environmental and Occupational Health Sciences, School of Public Health, State University of New York Downstate Medical Center, Brooklyn, New York, USA

[4 ]Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, New York, USA

[5 ]New York Obesity Nutrition Research Center, Columbia University Medical Center, New York, New York, USA

[6 ]Institute of Human Nutrition,

[7 ]Department of Medicine, and

[8 ]Division of Pediatric Endocrinology, Diabetes and Metabolism, Department of Pediatrics, College of Physicians and Surgeons, Columbia University Medical Center, New York, New York, USA

[9 ]Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA

[10 ]National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia, USA