Variability of Urinary Concentrations of Bisphenol A in Spot Samples, First Morning Voids, and 24-Hour Collections

Ye, Xiaoyun; Wong, Lee-Yang; Bishop, Amanda M.; Calafat, Antònia M.

doi:10.1289/ehp.1002701

Cited by 272 publications

(188 citation statements)

References 33 publications

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“…22,47,49,50 With the assumption of nondifferential exposure misclassification, this error would result in null-biased estimates. 51 Integrated exposure measures such as mean BPA concentrations might reduce misclassification rates, but they would decrease the ability to identify short timesensitive windows of development.…”

Section: Figurementioning

confidence: 99%

Impact of Early-Life Bisphenol A Exposure on Behavior and Executive Function in Children

et al. 2011

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WHAT'S KNOWN ON THIS SUBJECT:Virtually all persons in industrialized countries are exposed to bisphenol A (BPA), and early-life BPA exposure might be associated with behavior problems. Few human studies have been conducted, and the impact of gestational versus childhood BPA exposures is unclear. WHAT THIS STUDY ADDS:BPA exposure during pregnancy, but not childhood, was associated with worse behavior at 3 years of age, especially among girls. Domains related to behavioral and emotional regulation were most affected by gestational BPA exposure. abstract OBJECTIVES:To estimate the impact of gestational and childhood bisphenol A (BPA) exposures on behavior and executive function at 3 years of age and to determine whether child gender modified those associations. METHODS:We used a prospective birth cohort of 244 mothers and their 3-year-old children from the greater Cincinnati, Ohio, area. We characterized gestational and childhood BPA exposures by using the mean BPA concentrations in maternal (16 and 26 weeks of gestation and birth) and child (1, 2, and 3 years of age) urine samples, respectively. Behavior and executive function were measured by using the Behavior Assessment System for Children 2 (BASC-2) and the Behavior Rating Inventory of Executive Function-Preschool (BRIEF-P). RESULTS:BPA was detected in Ͼ97% of the gestational (median: 2.0 g/L) and childhood (median: 4.1 g/L) urine samples. With adjustment for confounders, each 10-fold increase in gestational BPA concentrations was associated with more anxious and depressed behavior on the BASC-2 and poorer emotional control and inhibition on the BRIEF-P. The magnitude of the gestational BPA associations differed according to child gender; BASC-2 and BRIEF-P scores increased 9 to 12 points among girls, but changes were null or negative among boys. Associations between childhood BPA exposure and neurobehavior were largely null and not modified by child gender. CONCLUSIONS:In this study, gestational BPA exposure affected behavioral and emotional regulation domains at 3 years of age, especially among girls. Clinicians may advise concerned patients to reduce their exposure to certain consumer products, but the benefits of such reductions are unclear. Pediatrics 2011;128:873-882 AUTHORS:

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Section: Figurementioning

confidence: 99%

Impact of Early-Life Bisphenol A Exposure on Behavior and Executive Function in Children

et al. 2011

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“…Second, single spot urine measures may not be representative of long-term exposure to BPA. Considerable within-person variability has been shown in urinary BPA measured throughout the day and week 47 and over a period of 1 to 3 years, 48 likely relating to variations in dietary intake. However, our sensitivity analyses showed that time of urine collection and fasting status did not confound the associations observed.…”

Section: Strengths and Limitationsmentioning

confidence: 99%

Urinary bisphenol A and obesity in adults: results from the Canadian Health Measures Survey

Minh

Chang

Mendez

et al. 2017

Health Promot Chronic Dis Prev Can

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Introduction Exposure to bisphenol A (BPA) has been shown to affect lipid metabolism and promote weight gain in animal studies. Recent epidemiological studies also support a link between BPA and obesity in human populations, although many were limited to a single adiposity measure or have not considered potential confounding by dietary factors. The purpose of this study is to examine associations between urinary BPA and adiposity measures in a nationally representative sample of Canadian adults. Methods We performed analyses using biomonitoring and directly measured anthropometric data from 4733 adults aged 18 to 79 years in the Canadian Health Measures Survey (2007–2011). We used multinomial and binary logistic regression models to estimate associations of urinary BPA with body mass index (BMI) categories (overweight vs. under/normal weight; obesity vs. under/normal weight) and elevated waist circumference (males: ≥ 102 cm; females: ≥ 88 cm), respectively, while controlling for potential confounders. Linear regression analyses were also performed to assess associations between urinary BPA and continuous BMI and waist circumference measures. Results Urinary BPA was positively associated with BMI-defined obesity, with an odds ratio of 1.54 (95% confidence interval [CI]: 1.002–2.37) in the highest (vs. lowest) BPA quartile (test for trend, p = .041). Urinary BPA was not associated with elevated waist circumference defined using standard cut-offs. Additionally, each natural-log unit increase in urinary BPA concentration was associated with a 0.33 kg/m2 (95% CI: 0.10– 0.57) increase in BMI and a 1.00 cm (95% CI: 0.34–1.65) increase in waist circumference. Conclusion Our study contributes to the growing body of evidence that BPA is positively associated with obesity. Prospective studies with repeated measures are needed to address temporality and improve exposure classification.

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“…7,8,10 The CDC data set was generated from a 1-week urine collection effort. Briefly, eight volunteers (4 men and 4 women) collected each urinary void over the course of a week, recording the time and volume of each void before preserving an aliquot for analysis.…”

Section: Data Sets For Evaluation Of Urinary Simulation Predictionsmentioning

confidence: 99%

“…The results of the simulations are compared with data collected and recently published by researchers from the Centers for Disease Control and Prevention (CDC) in an observational study of eight volunteers who collected each urine void for a week 7,8,10 and are used to examine population data from the National Health and Nutrition Examination Survey (NHANES). The simulations and data sets allow examination of the impact of within-day temporal variability on how representative spot sample biomarker concentrations are of longer-term biomarker concentrations and underlying exposure levels.…”

mentioning

confidence: 99%

Interpreting variability in population biomonitoring data: Role of elimination kinetics

Aylward

Kirman²,

Adgate

et al. 2012

J Expo Sci Environ Epidemiol

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Biomarker concentrations in spot samples of blood and urine are implicitly interpreted as direct surrogates for long-term exposure magnitude in a variety of contexts including (1) epidemiological studies of potential health outcomes associated with general population chemical exposure, and (2) cross-sectional population biomonitoring studies. However, numerous factors in addition to exposure magnitude influence biomarker concentrations in spot samples, including temporal variation in spot samples because of elimination kinetics. The influence of half-life of elimination relative to exposure interval is examined here using simple first-order pharmacokinetic simulations of urinary concentrations in spot samples collected at random times relative to exposure events. Repeated exposures were modeled for each individual in the simulation with exposure amounts drawn from lognormal distributions with varying geometric standard deviations. Relative variation in predicted spot sample concentrations was greater than the variation in underlying dose distributions when the half-life of elimination was shorter than the interval between exposures, with the degree of relative variation increasing as the ratio of half-life to exposure interval decreased. Results of the modeling agreed well with data from a serial urine collection data set from the Centers for Disease Control. Data from previous studies examining intra-class correlation coefficients for a range of chemicals relying upon repeated sampling support the importance of considering the half-life relative to exposure frequency in design and interpretation of studies using spot samples for exposure classification and exposure estimation. The modeling and data sets presented here provide tools that can assist in interpretation of variability in cross-sectional biomonitoring studies and in design of studies utilizing biomonitoring data as markers for exposure.

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Variability of Urinary Concentrations of Bisphenol A in Spot Samples, First Morning Voids, and 24-Hour Collections

Cited by 272 publications

References 33 publications

Impact of Early-Life Bisphenol A Exposure on Behavior and Executive Function in Children

Impact of Early-Life Bisphenol A Exposure on Behavior and Executive Function in Children

Urinary bisphenol A and obesity in adults: results from the Canadian Health Measures Survey

Interpreting variability in population biomonitoring data: Role of elimination kinetics

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