Dataset Information

Bisphenol A and Adiposity in an Inner-City Birth Cohort.

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 (? = 0.31 kg/m2; 95% CI: 0.01, 0.60, p = 0.04), %BF (? = 0.79; 95% CI: 0.03, 1.55, p = 0.04), and WC (? = 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.

SUBMITTER: Hoepner LA

PROVIDER: S-EPMC5047776 | biostudies-literature | 2016 Oct

REPOSITORIES: biostudies-literature

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Publications

Bisphenol A and Adiposity in an Inner-City Birth Cohort.

Hoepner Lori A LA Whyatt Robin M RM Widen Elizabeth M EM Hassoun Abeer A Oberfield Sharon E SE Mueller Noel T NT Diaz Diurka D Calafat Antonia M AM Perera Frederica P FP Rundle Andrew G AG

Environmental health perspectives 20160517 10

<h4>Background</h4>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.<h4>Objectives</h4>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.<h4>Methods</h4>BPA concentrations were measured in prenatal (n = 375) and child ages 3 (n = 408) a ...[more]

PMID: 27187982

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Project description:All subjects were recruited at Centennial Women?s Hospital and the Perinatal Research Center in Nashville, TN beginning in 2003. Pregnant women were enrolled during their first clinical visit after obtaining informed consent as described previously. Demographic and clinical data specific to the fetus was collected from clinical records. Gestational age of the neonate was determined by maternal reporting of the last menstrual period and corroboration by ultrasound dating. Accurate knowledge of gestational age (GA) is essential for proper monitoring and care of neonates. However, accurate GA measures are often not available. DNA methylation has previously been shown to associate with GA, and has been used to accurately predict chronological age in adults. In the current study, we examine whether DNA methylation in cord blood can be used to predict gestational age at birth. Results: We found that GA can be accurately predicted from DNA methylation of neonatal cord blood and blood spot samples (DNAm GA), using 148 CpG sites selected through elastic net regression in six training datasets (N=207). We evaluated predictive accuracy in six testing datasets (N=1,202), and found that the accuracy of DNAm GA meets or exceeds accuracy of gestational age estimates based on established methods. We also found an increased DNAm GA, relative to clinical GA, was associated with increased birthweight percentile (p=.00057), adjusting for GA, sex, and ancestry, suggesting that DNAm GA could represent developmental age more accurately than clinical estimates of GA. Conclusions: Further development of this predictor could provide a method of accurate neonatal estimation of GA for use in resource-limited populations, or in cases where GA cannot be estimated clinically. When clinical estimates are available, the predictor can be used to test hypotheses related to developmental age and other early life circumstances, and may provide increased accuracy beyond clinical estimates.

Dataset Information

Bisphenol A and Adiposity in an Inner-City Birth Cohort.

Background

Objectives

Methods

Results

Conclusions

Citation

Publications

Bisphenol A and Adiposity in an Inner-City Birth Cohort.

Similar Datasets

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