Abstract
Background:
Novel methodologies to quantify infant exposures to endocrine disrupting chemicals (EDCs) for population-based studies are needed.
Objectives:
We used newborn dried blood spots to quantify three EDCs and their associations with infant outcomes in the Upstate KIDS Cohort.
Methods:
We measured bisphenol A (BPA), perfluorooctanesulfonic acid (PFOS) and perfluorooctanoic acid (PFOA) in 2,071 singleton and 1,040 twin infants born to mothers in New York State. We log transformed concentrations after rescaling by their standard deviations and modeled each in relation to gestational age, birthweight, length, head circumference and Ponderal Index (PI) using linear regression techniques. All models were adjusted for maternal age, body mass index, education, infertility treatment and parity. Generalized estimating equations with robust standard errors were used to assess the associations for twins.
Results:
Chemicals were largely quantified above the limits of detection (>99% for PFOS and PFOA; 90% for BPA). Overall, we observed no significant associations between PFASs and birth size irrespective of plurality of birth. However, among twins, BPA was associated with decreases in gestational age (adjusted β=−0.09 weeks; 95% Confidence Interval (CI): −0.17, −0.02) and birthweight (adjusted β=−32.52 gm; 95% CI: −60.99, −4.05), head circumference (adjusted β=−0.18 cm; 95% CI: −0.38,−0.02) and increased PI in singletons (adjusted β=0.02 cm; 95% CI: 0.004, 0.04).
Conclusion:
We observed negative associations between BPA and birth size in twins. Our findings demonstrate the feasibility of newborn dried blood spots for quantifying neonatal exposure at the population level.
Keywords: endocrine–disrupting chemicals, birth outcomes, newborn bloodspots, bisphenol A, perfluorooctanesulfonic acid, perfluorooctanoic acid
1. Introduction
Previous literature reviews and reports have suggested that chemicals with endocrine disrupting properties may impact reproductive and neurodevelopmental outcomes (Wang et al. 2016; WHO 2013). Two such endocrine disrupting chemicals (EDCs), perfluoroooctane sulfonic acid (PFOS) and perfluoroctanoic acid (PFOA), are persistent organic pollutants whose chemical properties were historically and widely used as repellents and non-stick surfaces in a variety of common household products. Despite recent regulations to decrease their use in manufacturing, PFOS and PFOA remain ubiquitous human exposures given their persistence, with a half-life ranging from 3.5 to 5 years (Negri et al. 2017). PFOS and PFOA are known to cross the placenta and rodent studies have demonstrated decreases in birthweight following in utero exposure, although at exposure levels higher than typically observed in human studies (Bach et al. 2015; Negri et al. 2017; Olsen et al. 2009; Rappazzo et al. 2017). Epidemiologic studies examining PFOS and PFOA measured in maternal sera and cord blood have observed an inverse association with birthweight and birth size and markers of fetal growth (Alkhalawi et al. 2016; Chen et al. 2017; Chen et al. 2012; Darrow et al. 2013; Fei et al. 2007; Lauritzen et al. 2017; Li et al. 2017; Maisonet et al. 2012; Washino et al. 2009; Wu et al. 2012) other studies have shown no such reduction (Apelberg et al. 2007; Chen et al. 2012; Darrow et al. 2013; Fei et al. 2007; Hamm et al. 2010; Lee et al. 2013; Monroy et al. 2008; Shi et al. 2017; Whitworth et al. 2012).
Bisphenol A (BPA), used in the production of plastics, is also considered an ubiquitous human exposure. However, BPA is not considered persistent due to its rapid metabolism (Wang et al. 2016; Woodruff et al. 2011). As with PFOS and PFOA, epidemiologic studies examining fetal exposure to BPA and birth outcomes are limited and inconsistent (Pergialiotis et al. 2017). For example, studies measuring BPA in maternal urine samples during pregnancy have observed a decrease in birthweight with increasing BPA concentrations (Chou et al. 2011; Huo et al. 2015; Snijder et al. 2013), while others have observed no or an increased association with markers of fetal growth (Casas et al. 2016; Lee et al. 2014; Philippat et al. 2012; Smarr et al. 2015).
The equivocal findings for BPA, PFOA and PFOS and infant birth size may reflect differences in exposure profiles across samples, varying biospecimen collection and processing protocols, varying laboratory practices for the quantification or reporting of concentrations, and specification of analytic models among other considerations (Bach et al. 2015; Lee et al. 2014; Lee et al. 2016; Shi et al. 2017). Much of the literature has relied upon maternal urine/blood or cord blood concentrations as a proxy for in utero exposure, with no studies known to us measuring EDCs in neonates. While these measures are critical for quantifying in utero exposures at specified gestational ages, they do not provide a direct measure of infant exposure. Given that twin infants are at increased risk for diminished fetal growth relative to singletons (Grantz et al. 2016), it is important to assess such exposures for this high risk group of infants. However to our knowledge, no study has examined neonatal EDC exposure and birth size in population based birth cohorts inclusive of twin infants.
Previously, we described a method for successfully quantifying these three EDCs in newborn dried bloodspots (DBS)(Ma et al. 2013), which provided support for their use as a noninvasive method for quantifying neonates’ exposures. This avenue of research is unique in that it allows investigators to be inclusive in their choice of sampling framework to ensure representation of potentially vulnerable infant subgroups, such as twins or infants from geographically unique areas. Therefore, we built upon the existing literature (Ma et al. 2013; Spliethoff et al. 2008; Yeung et al. 2016) and empirically assessed the feasibility and utility of using newborn dried blood spots for quantifying PFOS, PFOA and BPA and their associations with selected infant outcomes in the Upstate KIDS birth cohort study.
2. Methods
2.1. Study Population
Primarily designed to examine the long-term impact of infertility treatment on child growth and neurodevelopment through 3 years of age, Upstate KIDS is a prospective cohort study comprising 6,171 infants delivered between 2008–2010 in 57 New York State counties (excluding the 5 New York City boroughs). Briefly, infants conceived with and without infertility treatments were sampled based upon the infertility treatment data field on birth certificates (Buck Louis et al. 2015; Roohan et al. 2003). Infants conceived with infertility treatment were frequency matched to infants without treatment by perinatal region of birth at a ratio of 1 to 3. All mothers of twins were recruited irrespective of treatment status. The cohort comprised 6,171 infants (3,905 singletons, 2,132 twins and 134 higher order multiples) born to 5,034 women. Mothers completed standardized baseline questionnaires about reproductive and medical history and other sociodemographic and environmental data upon enrollment. At the eight-month follow-up, parents were asked to provide consent for use of archived DBS for the quantification of chemicals. Of enrolled families, 3,125 (62%) provided consent to analyze newborn bloodspots with no strong differences identified between consenting and nonconsenting parents (Yeung et al. 2016). After excluding the higher-order multiple infants, 2,071 singletons and 1,040 twins were included in this analysis. Complete details on the study’s methods have previously been published (Buck Louis et al. 2014). The New York State Department of Health and the University of Albany (State University of New York) Institutional Review Boards (NYSDOH IRB #07–097; UAlbany #08–179) approved this study, along with a signed reliance agreement with the National Institutes of Health.
2.2. Quantification of EDCs in Newborn Blood Spot
The New York State Newborn Screening Program (NSP) collects 5 drops of infant whole blood taken from a heel stick and captured onto filter paper cards at 24 hours or more following delivery, but prior to discharge. Within 24 hours, these filter cards are then sent to the Wadsworth Center Laboratory, New York State Department of Health, for genetic and metabolic screening. The remaining DBS are archived in cold storage at 4°C. Among the study infants, DBS were collected from one to four or more days post-delivery, with a mean collection time of two days post-delivery. As previously described, the DBS cards for infants with parental consent were retrieved and the equivalent of one 16-mm diameter punch was used for analyses (Yeung et al. 2016). A liquid-liquid extraction was used to extract the BPA, PFOS and PFOA from the bloodspot samples and high-performance liquid chromatography/tandem mass spectrometry HPLC-MS/MS methods were used for quantification. The method was validated for accuracy, precision, sensitivity, and background contamination as described below and in greater detail in Ma et al (Ma et al. 2013).
While two separate analysis could have improved efficiency, it would have required a higher volume of final extract and available volume was too low for complete analyses. Thus, the final volume was adjusted to 50uL and, with one injection, completed analyses as described. However, parameters were optimized separately for BPA and the perfluorinated chemicals. The ion-pair extraction procedure for BPA used basic conditions with tetrabutyl ammonium hydrogen sulfate. While unlikely in newborn infants, if BPA was conjugated, BPA would have been deconjugated under these basic/alkaline conditions.
13C-labelled internal standards of PFOS, PFOA and BPA were spiked prior to extraction and the quantification was by isotope dilution to compensate for low recovery rates. In checking for a matrix effect, the matrix-matched calibration curve with isotope-dilution and methanol calibration curves with isotope-dilution were compared. The results showed that the matrix suppression for BPA was significant, however for PFOA and PFOS the matrix effect was minimal. Therefore, for recovery review with our method and other applications with real blood spot samples, only the methanol calibration curve with isotope-dilution was used.
Unspotted blank areas of DBS cards were analyzed as field blanks to account for background contamination. One field blank was collected for every 20–30 samples. The comparison of method and field blanks confirmed negligible contamination of filter cards during collection, storage and handling (Ma et al. 2013). Similar to other studies (Adam 2000, Andersen 2014), we assumed volume, using one 16 mm punch equivalent to 50 uL of whole blood, the standard used in previous studies by the New York State Department of Health (Ma et al. 2013; Spliethoff et al. 2008). Further details describing these methods can be found in Ma et al. (2013).
On the basis of background levels found in method blanks, the limits of detection were 0.03, 0.05, and 0.3 ng/mL of whole blood for PFOS, PFOA, and BPA. Instrument derived concentrations were used without substitution to avoid bias when estimating human health outcomes (Schisterman et al. 2006).
2.3. Infant Characteristics and Outcomes
Infant outcomes examined included gestational age (defined as completed weeks gestation), birthweight (gm), birth length (cm), head circumference (cm), and ponderal index (PI, kg/m3). Mothers reported birth length, head circumference, education status, infertility treatment (i.e., use of assisted reproductive technologies or fertility drugs), and maternal race/ethnicity on the baseline questionnaire. Information from birth certificate data included: maternal age, weight and height, parity (number of live births), infant sex, birthweight, gestational age, and admission to neonatal intensive care unit (NICU). Information on birthweight and gestational age was complete. Birth length was reported for 84% of infants while head circumference data were reported for 28% of infants. Infants with available birth length data were more likely to have mothers with graduate school education (33% compared to 23% without length data), mothers who were white (85% compared to 77% without length data) and conceived with infertility treatment (33% compared to 27% of those without birth length data). Availability of head circumference data did not differ by any factor measured (e.g. maternal education, race/ethnicity or infertility treatment).
The Ponderal Index (PI) was calculated [(birthweight (gm)/length (cm3)] x100 to assess infant adiposity (Miller and Hassanein 1971) and further categorized as: asymmetric (< 2.21); normal (2.20–3.00) and symmetric (> 3.00). Preterm birth was defined as < 37 weeks and early preterm as < 32 weeks. Size for gestational age was computed using the United States reference (Koval et al. 2013; Oken et al. 2003). For singletons, large (LGA) and small for gestational age (SGA) were defined as birthweights >90th and <10th percentiles, respectively. Given the absence of references for twins (Yeung et al. 2015), we defined SGA as < 3rd percentile since a third or more of our twins were <10th percentile when using the singleton reference (Yeung et al. 2015). Infants whose birth lengths exceeded the U.S. reference by ±3 centimeters for gestational age were excluded (n=95; <1%).
2.4. Statistical Analysis
After examining the percentage of samples with chemical measurements above the limit of detection (LOD), we examined the median and interquartile range (IQR) overall and by plurality. In the descriptive phase of research after inspecting data completeness, maternal and infant characteristics were compared by median concentrations of chemicals and significance (2-sided p-value) was assessed using the Wilcoxon sample test and Kruskal-Wallis test for dichotomous and polytomous outcomes, respectively and Pearsons Correlation Coefficients were calculated to assess correlation with BPA, PFOS and PFOA. Data for covariates were largely complete with <1% missing for parity. We log transformed (log(BPA + 19); log (PFOA + 1); log (PFOS +1)) concentrations and rescaled by the standard deviations of the log-transformed chemicals to aid interpretation, and modeled each EDC in relation to gestational age, birthweight, length, head circumference, and Ponderal Index (PI) using linear regression techniques for singletons and generalized estimating equations with robust standard errors to account for the lack of independence among twins (Zeger and Liang 1986). The underlying causal model between EDCs, including perfluoroalkyl acids and birth size, have not been empirically demonstrated prompting varying opinions and approaches to model specification. In our approach, each chemical was modeled individually and three models were assessed, to confirm robustness of our findings, with covariates selected a priori (Model 1: adjusting for maternal age (years); Model 2: adjusting for maternal age (years), BMI (<25, 25–30, 30–35, ≥35) and education (high school, college/some college, graduate school) and Model 3: adjusting for maternal age, BMI, education, infertility treatment and Model 4: adjusting for Model 3 covariates and nulliparous (yes/no), given its uncertain causal structure between prenatal EDC concentrations and infant outcomes. Finally, to assess whether observed estimates varied when considering all chemicals jointly, a fourth model was assessed with all chemicals entered simultaneously.
3. Results
3.1. Descriptive Statistics
The cohort comprised mostly singleton (67%) infants born to mothers who were largely white (83%) and college educated (54%). Thirty-two (n=844) percent of infants were conceived with infertility treatment, reflecting our sampling framework. Distribution of other maternal and infant characteristics are reported in Table 1. All chemicals were largely quantified in DBS at concentrations above the LOD (>99% for PFOS and PFOA; 90% for BPA) as presented in Table 2. Concentrations of PFOS and PFOA were somewhat correlated (r = 0.32; p ≤ 0.0001, but neither was correlated with BPA(r = −0.005; p = 0.78 and r = −0.003; p=0.85, respectively). Median concentrations were: 1.69 ng/ml (IQR: 1.12, 2.40) for PFOS, 1.07 ng/ml (IQR:0.67,1.60) for PFOA and 7.88 ng/ml (IQR: 3.39, 14.56) for BPA. Median concentrations of PFOA and PFOS did not differ by length of time from delivery to bloodspot collection in singletons or twins. Among twins, a positive association was observed between median BPA concentrations and interval between birth and collection of the bloodspot (9.68 ng/ml for collection ≥4 versus 6.38 ng/ml for collection ≤2 days post-delivery). A similar pattern was observed among singletons with a median of 8.50 ng/ml for collection ≥4 compared to 7.23 ng/ml for collection ≤ 2 days post-delivery. Overall, the EDC distributions were similar for infants irrespective of their plurality of birth as shown in Table 2.
Table 1.
Infant and Maternal Characteristics | |
Gestational age (weeks) | 37.8 ±2.44 |
Birthweight (g) | 3095.31 ±700.26 |
Birth length boys (cm) | 49.95 ±3.96 |
Birth length girls (cm) | 48.92 ±3.83 |
Head circumference boys (cm) | 33.62 ±2.62 |
Head circumference girls (cm) | 33.02 ±2.46 |
Ponderal Index (g/cmA3×100) | 2.57 ±0.37 |
Gestational Length (weeks) | |
≥37 | 2422 (78) |
<37 | 689 (22) |
Plurality | |
Singleton | 2071 (67) |
Twin | 1040 (33) |
Sex | |
Male | 1567 (50) |
Female | 1544 (50) |
Maternal Age (years) | |
≤29 | 1004 (39) |
30–39 | 1391 (53) |
≥40 | 209 (8) |
Maternal Education | |
High school or equivalent | 367 (14) |
College/some college | 1408 (54) |
Graduate school | 829 (32) |
Maternal Prepregnancy Body Mass Index (kg/m2) | |
<25 | 1271 (49) |
25.0–29.9 | 671 (25) |
30.0–34.9 | 328 (12) |
≥35.0 | 329 (12) |
Maternal Parity | |
Nulliparous | 1186 (46) |
Parous | 1395 (54) |
Maternal race/ethnicity | |
White, non-Hispanic | 2180 (84) |
Black, non-Hispanic | 90 (3) |
Asian, non-Hispanic | 77 (3) |
Hispanic | 106 (4) |
Other/multi-race | 151 (6) |
Maternal Infertility treatment | |
No treatment | 1760 (68) |
Yes, any treatment | 844 (32) |
Maternal Infertility Treatment Type | |
Ovulation induction/intrauterine insemination | 440 (52) |
Assisted reproductive technologies | 403 (48) |
ART, Artificial reproductive technology
Birth length boys n= 1314; girls n = 1297
Head circumference boys n = 421; girls n = 441
OI, Ovulation induction; IUI: Intrauterine insemination
Ponderal Index (birthweight in grams/birth length in cm3 ×100)
n = 2611
Table 2.
All | Singleton | Twins | |||
---|---|---|---|---|---|
Chemical (ng/ml) | LOD (ng/ml) |
% <LOD | Md (IQR) | Md (IQR) | Md (IQR) |
BPA | 0.3 | 10 | 7.88 (3.39,14.56) | 7.57 (3.34,13.90) | 8.67 (3.48,16.28) |
PFOA | 0.05 | <1 | 1.07 (0.67,1.60) | 1.10 (0.69,1.63) | 1.01 (0.63,1.53) |
PFOS | 0.03 | <1 | 1.69 (1.12,2.40) | 1.72 (1.14,2.44) | 1.64 (1.09,2.33) |
BPA, bisphenol A
IQR, interquartile range (25th, 75th percentiles)
LOD, limit of detection
Md, median
ng/ml, nanogram per milli-liter of whole blood
PFOA, perfluorooctanoic acid
PFOS, perfluorooctanesulfonic acid
n=2071 singleton infants, n = 1040 twin infants
The distribution of EDCs by infant outcomes are reported in Table 3. Median concentrations of PFOS and PFOA did not differ by gestational age, birthweight, birth length, male head circumference or PI among singletons. Median PFOA and PFOS concentrations were higher in infants classified as SGA (1.17 ng/ml and 1.73 ng/ml, respectively) compared to LGA infants (1.02 ng/ml and 1.65 ng/ml, respectively). Median PFOS was higher for female infants with a head circumference less than or equal to the 50th percentile (1.77 ng/ml) compared to those greater than or equal to the 50th percentile (1.50 ng/ml). Among twins, median PFOA and PFOS concentrations were higher for female than male infants and whose head circumferences were ≥50th percentile.
Table 3.
Singleton infants | Twin infants | ||||||
---|---|---|---|---|---|---|---|
Infant Outcomes | BPA Md (IQR) |
PFOA Md (IQR) |
PFOS Md (IQR) |
BPA Md (IQR) |
PFOA Md (IQR) |
PFOS Md (IQR) |
|
Gestational age (weeks) | |||||||
<37 | 8.22 (4.62, 15.57) | 1.07 (0.68, 1.68) | 1.72 (1.19, 2.40) | 9.00 (3.89, 18.19) | 1.02 (0.62, 1.57) | 1.66 (1.08, 2.34) | |
≥37 | 7.48 (3.26, 13.82) | 1.10 (0.69, 1.62) | 1.72 (1.13, 2.44) | 8.36 (3.19, 14.60)* | 1.01 (0.64, 1.49) | 1.63 (1.10, 2.33) | |
Birthweight (g) | |||||||
<2500 | 8.31 (4.36, 15.30) | 1.09 (0.69, 1.69) | 1.74 (1.10, 2.54) | 9.00 (4.34, 17.50)* | 1.01 (0.62, 1.60) | 1.62 (1.08, 2.34) | |
≥2500 | 7.48 (3.26, 13.85) | 1.1 (0.69, 1.62) | 1.71 (1.14, 2.44) | 8.30 (3.05, 15.00) | 1.02 (0.63, 1.49) | 1.67 (1.11, 2.31) | |
Infant Birth Size | |||||||
SGA | 7.64 (3.04,13.87) | 1.17 (0.73, 1.67)* | 1.73 (1.07, 2.82)* | 8.23 (3.63, 15.20) | 1.00 (0.58, 1.53) | 1.61 (1.03, 2.31) | |
AGA | 7.50 (3.37,13.72) | 1.10 (0.7, 1.64) | 1.73 (1.15, 2.46) | 8.76 (3.43, 16.43) | 1.02 (0.63, 1.53) | 1.66 (1.09, 2.34) | |
LGA | 7.94 (3.5,15.69) | 1.02 (0.62, 1.42) | 1.65 (1.07, 2.09) | NA | NA | NA | |
Birth Length - males | |||||||
<50th percentile | 8.14 (4.49, 14.91) | 1.09 (0.72, 1.68) | 1.74 (1.18, 2.51) | 8.94 (3.15, 16.68) | 0.99 (0.62, 1.56) | 1.70 (1.08, 2.36) | |
≥50th percentile | 7.42 (3.00, 13.76) | 1.13 (0.68, 1.67) | 1.77 (1.14, 2.43) | 9.61 (5.38, 14.52) | 0.99 (0.73, 1.33) | 1.68 (1.15, 2.34) | |
Birth length - females | |||||||
<50th percentile | 7.08 (3.09, 14.80) | 1.07 (0.69, 1.59) | 1.66 (1.25, 2.43) | 8.32 (3.48, 17.5)* | 1.01 (0.62, 1.60) | 1.60 (1.04, 2.33) | |
≥50th percentile | 7.46 (3.26, 13.21) | 1.09 (0.68, 1.62) | 1.67 (1.08, 2.51) | 5.41 (2.38, 11.52) | 1.08 (0.76, 1.49) | 1.64 (1.14, 2.28) | |
Head circumference - male | |||||||
<50th percentile | 8.37 (4.01, 15.66) | 1.15 (0.64, 1.64) | 1.79 (1.21, 2.45) | 9.32 (2.81, 17.63) | 0.90 (0.63, 1.51) | 1.56 (1.06, 2.31) | |
≥50th percentile | 5.89 (3.11, 10.38) | 0.97 (0.66, 1.45) | 1.74 (1.14, 2.20) | 11.46 (9.44, 13.48) | 1.49 (1.47, 1.51) | 2.53 (2.38, 2.69) | |
Head circumference - female | |||||||
<50th percentile | 7.36 (3.11, 14.4) | 1.13 (0.74, 1.58) | 1.77 (1.1, 2.66)* | 6.31 (2.94, 17.92) | 0.97 (0.58, 1.53)* | 1.47 (0.94, 2.04)* | |
≥50th percentile | 8.16 (3.67, 15.28) | 1.02 (0.58, 1.48) | 1.50 (0.99, 2.14) | 16.91 (5.01, 23.24) | 1.85 (0.95, 2.38) | 2.29 (1.89, 2.66) | |
Ponderal Index | |||||||
<2.20 | 7.45 (3.15, 13.22) | 1.06 (0.68, 1.68) | 1.73 (1.17, 2.60) | 7.75 (4.10, 14.23) | 0.99 (0.57, 1.65) | 1.62 (1.07, 2.48) | |
2.20–3.00 | 7.43 (3.18, 13.90) | 1.12 (0.70, 1.66) | 1.75 (1.14, 2.46) | 8.67 (3.10, 16.77) | 1.02 (0.66, 1.54) | 1.66 (1.10, 2.31) | |
>3.00 | 7.93 (3.94, 15.13) | 0.97 (0.65, 1.46) | 1.58 (1.11, 2.27) | 9.63 (2.89, 16.71) | 0.99 (0.55, 1.52) | 1.51 (1.00, 2.24) | |
Admission NICU | |||||||
No | 7.52 (3.28,13.88) | 1.10 (0.69,1.62) | 1.72 (1.14,2.44) | 8.20 (3.25,15.05)* | 1.03 (0.64,1.52) | 1.65 (1.09,2.32) | |
Yes | 8.43 (4.38,15.16) | 1.05 (0.64,1.68) | 1.64 (1.02,2.37) | 9.36 (4.29,17.93) | 1.00 (0.62,1.63) | 1.63 (1.09,2.36) |
BPA, bisphenol A
LGA, large for gestational age defined as >90th percentile
Md, Median (ng/ml); IQR, interquartile range
NA, not calculated due to only 1 infant in cell
NICU: Neonatal intensive care unit
PFOA, perfluorooctanoic acid
PFOS, perfluorooctanesulfonic acid
Ponderal Index, birthweight in grams/birth length in cm3 X100
SGA, small for gestational defined <10th percentile,
n=2071 singleton infants, n = 1040 twin infants
p<0.05 Wilcoxon sample test and Kruskal-Wallis test for dichotomous and polytomous outcomes, respecitvely
Unadjusted BPA concentrations did not vary by any infant outcome for singletons. Among twins, median BPA concentrations were higher for infants delivered <37 weeks gestation in comparison to infants delivered at later gestational ages (9.00 ng/ml and 8.36 ng/ml, respectively), as were BPA concentrations for low birthweight infants in comparison to normal weight infants (9.00 ng/ml and 8.30 ng/ml) and for infants admitted to the neonatal intensive care unit (NICU) or not (9.36 ng/ml and 8.20 ng/ml). Median BPA concentrations were also higher for female twin infants with a birth length <50th percentile compared to those at or above the 50th percentile (Table 3).
3.2. Adjusted associations between BPA, PFOS and PFOA and birth outcomes
In adjusted analyses, results were consistent across all three models and, therefore, only the results for the model including maternal age, BMI, education, infertility treatment and parity are reported here and in Table 4.
Table 4.
BPA | PFOA | PFOS | ||
---|---|---|---|---|
Adjusted β (95% CI) | Adjusted β (95% CI) | Adjusted β (95% CI) | ||
Gestational Age (weeks) | Singletons | −0.04 (−0.11, 0.03) | 0.01 (−0.07, 0.08) | 0.05 (−0.03, 0.13) |
Twins | −0.09 (−0.16, −0.02) | −0.01 (−0.12, 0.11) | −0.02 (−0.15, 0.11) | |
Birthweight (g) | Singletons | 6.43 (−16.45, 29.31) | −11.55 (−35.72, 12.62) | −18.32 (−42.41, 5.78) |
Twins | −32.52 (−60.99, −4.05) | 18.48 (−17.18, 54.13) | 3.91 (−31.07, 38.89) | |
Birth Length (cm) | Singletons | −0.10 (−0.24, 0.04) | 0.02 (−0.13, 0.17) | −0.04 (−0.19, 0.10) |
Twins | −0.18 (−0.40, 0.04) | 0.21 (−0.11, 0.52) | 0.23 (−0.07, 0.53) | |
Head Circumference (cm) | Singletons | −0.07(−0.28, 0.14) | 0.04 (−0.17, 0.26) | 0.03 (−0.19, 0.24) |
Twins | −0.18 (−0.38, −0.02) | 0.12 (−0.22, 0.46) | 0.23 (−0.04, 0.49) | |
Ponderal Index | Singletons | 0.02 (0.004, 0.04) | −0.01 (−0.03, 0.01) | −0.01 (−0.03, 0.01) |
Twins | 0.001 (−0.02, 0.02) | −0.01 (−0.04, 0.02) | −0.01 (−0.04, 0.01) |
BPA, bisphenol A
PFOA, perfluorooctanoic acid
PFOS, perfluorooctanesulfonic acid
Ponderal Index (birthweight in grams/birth length in cm3 X100)
Models are adjusted for continuous maternal age (years), categorical maternal BMI (<25,25–30,30–35,>=35), maternal education (high school, college/some college, graduate school), infertility treatment (yes/no), parity (nulliparous, parous)
n = 2071 singleton infants, n = 1040 twin infants; birth length n = 2611; head circumference n = 862
Overall, we observed no significant associations between PFASs and birth size irrespective of plurality of birth. Among singletons, log-transformed PFOS was associated with only minimal reductions in birthweight per one unit increase in PFOS (adjusted β= −18.32 gm; 95% CI: −42.41, 5.78), though the findings failed to achieve significance. Results were similar for log-transformed PFOA. The observed estimates for PFOS and PFOA were attenuated from those observed in Model 3, when parity was not included in the model (adjusted β= −31.27 gm; 95% CI: −54.85, −7.69 and adjusted β= −28.04 gm; 95% CI: −51.20, −4.89, respectively). When not adjusting for parity, no outcomes among twins were associated with PFOS or PFOA. No associations were observed when including PFOS, PFOA and BPA in the same model (Supplemental Table 1).
Among singletons, when adjusting for covariates, the only observed association was for BPA and body adiposity as measured by the PI (adjusted β= 0.02 g/cm3; 95% CI: 0.004, 0.04). Among twins, BPA was associated with decreases in gestational age (adjusted β= −0.09 weeks; 95% CI: −0.17,−0.02); birthweight (adjusted β= −32.52 gm; 95% CI: −60.99,−4.05) and head circumference (β= −0.18 cm; 95% CI: −0.38,−0.02). The observations were robust to additional adjustment for PFOA and PFOS concentrations (Supplemental Table 1).
4. Discussion
4.1. Key Findings
To our knowledge, this is the first study to examine neonatal EDC exposure as measured in newborn bloodspots in relation to neonatal birth size for both singletons and twins. While we observed no associations for persistent EDCs (i.e., PFOS and PFOA) and birth size irrespective of plurality of birth, differing signals emerged for BPA. Specifically, BPA concentrations were inversely associated with birthweight and gestational age among twins, while positively associated with PI among singletons. While the observed absolute impact on birthweight and gestational age are not large, given that twins are biologically vulnerable, our observed associations are notable.
All chemicals were largely quantified above the LOD underscoring fetal exposure. The median concentration of PFOA (1.08 ng/ml) is within the range of measured PFOA concentrations in maternal and cord blood samples reported in previous studies (with median concentrations ranging from 0.88 to 2.6 ng/ml) (Apelberg et al. 2007; Arbuckle et al. 2013; Bach et al. 2015; Lee et al. 2016; Lee et al. 2013; Monroy et al. 2008; Shi et al. 2017). The median concentration of PFOS (1.69 ng/ml) was higher than PFOA (1.07 ng/ml) in the Upstate KIDs study despite the fact that PFOS is less easily transferred through the placental barrier than PFOA (Zhang et al. 2015). This pattern is similar to several studies summarized by Bach et al (Bach et al. 2015; Bach et al. 2016) and Shi et al (Shi et al. 2017) where PFOS concentrations were higher than PFOA concentrations when measured in cord blood. However, the median concentration of PFOS was lower in the Upstate KIDS cohort than most concentrations reported in previous studies that measured PFOS in maternal sera and cord blood (Apelberg et al. 2007; Arbuckle et al. 2013; Bach et al. 2015; Lee et al. 2016; Monroy et al. 2008; Shi et al. 2017). Some variation may be due to differences in geography. For instance, two studies observed different levels of PFOS in cord blood sera from deliveries in two different geographic regions of China. Li and colleagues reported a median (IQR) concentration of 3.0 (1.7, 4.6) ng/ml in the Guangzhou birth cohort study (with births in 2013) (Li et al. 2017), while Shi and colleagues reported a PFOS concentration of 0.974 (0.626, 1.584) ng/ml in samples from Beijing (with births in 2012) (Shi et al. 2017). In addition, PFOS production declined significantly in the United States after 2002 and PFOA followed in the mid-2000s (EPA 2017; Fromme et al. 2009; Fromme et al. 2010). The lower concentrations observed in the Upstate KIDS cohort may reflect the decreased usage overtime of these particular PFAs; however usage of newer PFAs, with unknown effects, are increasing (EPA 2017; Kato et al. 2011).
4.2. Comparison with other studies and interpretations
A direct comparison between our study and others is not possible given our reliance on newborn bloodspots whereas previous literature relied upon maternal or cord blood. However, our lack of an inverse association with PFOS and PFOA and birthweight is consistent with a number of studies observing minimal or no reduction in birthweight and PFOS and PFOA measured in cord serum samples (Li et al. 2017; Shi et al. 2017; Woods et al. 2017).
Similarly, a number of studies using maternal measurement of PFOS and PFOA also observed no association with birthweight for either chemical (Alkhalawi et al. 2016; Bach et al. 2016; Robledo et al. 2015; Shi et al. 2017). A recent study (Alkhalawi et al. 2016) observed reductions in the PI with increasing concentrations of PFOS and PFOA measured in maternal plasma (β =−0.412; 95% CI: −0.788, −0.037 and β =−.355; 95% CI: −.702, −.008, respectively) but no association with birth length.
Previous studies have measured BPA in maternal and cord blood and birthweight (Pergialiotis et al. 2017); however none have measured BPA in newborn bloodspots or examined exposure in twins. In a recent study, (Pinney et al. 2017) measured BPA in amniotic fluid during the second trimester and observed an inverse relationship with birthweight while no association was observed in another study measuring BPA in maternal blood samples at the time of delivery (Padmanabhan et al. 2008). Our observed decreases in gestational age and birthweight with increasing BPA concentrations in twins require corroboration. Recent studies have observed a similar association among singletons (Lee et al. 2014), while others observed an inverse association with BPA concentrations and PI (Ding et al. 2017).
Our reported results for twins and BPA concentrations are novel and require additional investigation. As previously reported, infants requiring medical interventions, as is common in a NICU setting, have greater urinary BPA concentrations compared to infants in the general population (Calafat et al. 2009; Duty et al. 2013). Given that twin infants are more likely to be delivered earlier in gestation and to be admitted to NICUs in comparison to singletons, it is possible that the BPA measured in the archived newborn bloodspots reflects postnatal exposures from plastic-based medical equipment in the NICU. In our study population, BPA concentrations were higher among infants who were preterm, low birth weight and admitted to the NICU and for infants with bloodspot collection more than two days post-delivery (suggesting a longer hospital stay) in comparison to their counterparts, suggesting increased opportunities for exposure to an already vulnerable population of infants.
4.3. Strengths and Limitations
There are several limitations for consideration. As cited in previous publications (Andersen et al. 2014; Ma et al. 2013), while it is standard practice in New York State to use 50 μl as the assumed blood volume for quantifying concentrations from one 16 mm newborn bloodspots, blood volume was not quantified in our samples. However, given our large sample size and the observed associations with BPA and growth in twin infants, a vulnerable population, our findings suggest further exploration of neonatal exposure to BPA in the NICU and the impact on future growth are warranted.
While we observed no association with head circumference and birth length, the small sample size, particularly for head circumference, suggests the need to interpret these findings with caution given the instability of the estimates.
Model specification is another important consideration in weighing our findings in the context of the existing literature. In thinking about our specific findings suggestive of a decrease in birthweight with exposure to PFOS and PFOA, we cannot rule out the possibility that we may have overadjusted when including parity in the model, attenuating our observed estimates for birthweight. While parity may be associated with differences in neonatal anthropometry (Gaillard et al. 2014) especially between the first two births (Hinkle et al. 2014), reasons for such differences are largely unknown but may reflect changes in maternal physiology, behaviors, or weight gain along with changes in paternity (Khong et al. 2003; Miranda et al. 2011; Trogstad et al. 2001; Villamor and Cnattingius 2006). Some of these factors, as well as reproductive history, gravid disease and risky lifestyles were controlled for in the study design phase in light of our lengthy exclusion criteria aimed at identifying pregnant women for optimal fetal growth (Grewal et al. 2018). Moreover, PFASs bind to albumin, and not lipids, resulting in a lower placental transfer than lipophilic EDCs (Fromme et al. 2010; Kim et al. 2011). Even in the context of some transfer across pregnancy, the mean daily uptake of specific PFAS such as PFOS and PFOA is estimated to be approximately 2–3 ng/kg and largely from dietary sources (Fromme et al. 2009). Collectively, these findings have prompted some investigators to characterize changes in PFAS concentrations in pregnant women as being transitory (Tao et al. 2008).
Given the stable nature of the target chemicals and storage at 4°C, degradation of these samples is not likely. However, given that cards were stored for many months prior to sampling for these analyses, variation in sample stability cannot be ruled out. Future analyses should include methodological assessments for variation due to long-term storage.
Finally, it has been previously reported that women are exposed to several EDCs simultaneously in pregnancy (Woodruff et al. 2011). This was suggested in our study with the correlation, although low, between PFOS and PFOA concentrations. Except for PFOA and birthweight, we observed no significant differences in fetal growth and birth outcomes with PFOS and PFOA when considered individually and no associations were observed when assessing all chemicals simultaneously. However, future analyses should include the possibility for additive and synergistic effects of multiple chemicals.
To our knowledge, this is the first study to use archived newborn DBS to measure EDCs relative to birth outcomes in a population-based cohort inclusive of twins. In light of the high incidence of twins in the U.S.(Martin et al. 2017), it is important for environmental research to capture multiples to have a complete understanding of exposures’ impact on all children’s growth and development. Our study is responsive to this need. This method provides an opportunity to measure exposures in prospective studies, particularly for high risk and hard to reach populations such as multiples. For persistent contaminants, such as PFOS and PFOA, measurement at the time of delivery reflects gestational exposure given maternal-infant transfer throughout the gestational period. However, given the short half-life compared to PFOS and PFOA, BPA measurements at the time of delivery may not reflect exposure throughout the gestational period (Braun et al. 2012; Fisher et al. 2015; Koch et al. 2014; Lassen et al. 2013). Therefore, the measured BPA at delivery may reflect very recent exposures around the time of or after delivery and, therefore, may best be used in prospective analyses of child outcomes (rather than newborn).
5. Conclusions
Using novel methods to quantify neonatal EDC concentrations for an inclusive cohort of infants, we observed no association with PFAS concentrations and birth outcomes for either singletons or twins. BPA concentrations were negatively associated with gestational age and birthweight in twins, but positively associated with neonatal adiposity as measured by the ponderal index in singletons. In light of twins being biologically vulnerable, exposures further impacting their gestation and birth size warrant continued investigation. Lastly, our findings support the feasibility and utility of using DBS for quantification of neonatal exposure and offer promise for designing population-based studies that reflect contemporary birth cohorts and the detection of small changes in infants’ birth size.
Supplementary Material
Highlights.
Used newborn dried blood spots to quantify BPA, PFOS and PFOA
Observed inverse association between BPA and birth size in twins
No observed association between BPA and birth size in singletons
No observed association with PFOS and PFOA and birth size, regardless of plurality
Acknowledgement:
Tzu-Chun Lin, MS Glotech Inc for contributing to the data analyses.
The authors declare no competing conflicts of interest.
Funding Acknowledgement: Funded by the Intramural Research Program, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health (NICHD; contracts # HHSN267200700019C; HHSN275201200005C).
Abbreviations:
- ART
Artificial reproductive technology
- BPA
bisphenol A
- CI
Confidence Interval
- DBS
dried bloodspot
- EDC
endocrine disrupting chemical
- IQR
interquartile range
- IUI
Intrauterine insemination
- LGA
large for gestational age
- NICU
neonatal intensive care unit
- NSP
newborn screening program
- OI
Ovulation induction
- PFOA
perfluorooctanoic acid
- PI
Ponderal Index
- PFOS
perfluorooctanesulfonic acid
- SGA
small for gestational age
Footnotes
Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
References
- Alkhalawi E, Kasper-Sonnenberg M, Wilhelm M, Volkel W, Wittsiepe J. 2016. Perfluoroalkyl acids (pfaas) and anthropometric measures in the first year of life: results from the Duisburg birth cohort. Journal of Toxicology and Environmental Health Part A 79:1041–1049. [DOI] [PubMed] [Google Scholar]
- Andersen NJ, Mondal TK, Preissler MT, Freed BM, Stockinger S, Bell E, et al. 2014. Detection of immunoglobulin isotypes from dried blood spots. Journal of Immunological Methods 404:24–32. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Apelberg BJ, Witter FR, Herbstman JB, Calafat AM, Halden RU, Needham LL, et al. 2007. Cord serum concentrations of perfluorooctane sulfonate (pfos) and perfluorooctanoate (pfoa) in relation to weight and aize at birth. Environmental Health Perspectives 115:1670–1676. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Arbuckle TE, Kubwabo C, Walker M, Davis K, Lalonde K, Kosarac I, et al. 2013. Umbilical cord blood levels of perfluoroalkyl acids and polybrominated flame retardants. International Journal of Hygiene and Environmental Health 216:184–194. [DOI] [PubMed] [Google Scholar]
- Bach CC, Bech BH, Brix N, Nohr EA, Bonde JP, Henriksen TB. 2015. Perfluoroalkyl and polyfluoroalkyl substances and human fetal growth: A systematic review. Critical Reviews in Toxicology 45:53–67. [DOI] [PubMed] [Google Scholar]
- Bach CC, Bech BH, Nohr EA, Olsen J, Matthiesen NB, Bonefeld-Jorgensen EC, et al. 2016. Perfluoroalkyl acids in maternal serum and indices of fetal growth: The aarhus birth cohort. Environmental Health Perspectives 124:848–854. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Braun JM, Smith KW, Williams PL, Calafat AM, Berry K, Ehrlich S, et al. 2012. Variability of urinary phthalate metabolite and bisphenol a concentrations before and during pregnancy. Environmental Health Perspectives 120:739–745. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Buck Louis GM, Hediger ML, Bell EM, Kus CA, Sundaram R, McLain AC, et al. 2014. Methodology for establishing a population-based birth cohort focusing on couple fertility and children’s development, the upstate kids study. Paediatric and Perinatal Epidemiology 28:191–202. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Buck Louis GM, Druschel C, Bell E, Stern JE, Luke B, McLain A, et al. 2015. Use of assisted reproductive technology treatment as reported by mothers in comparison with registry data: The upstate kids study. Fertility and Sterility 103:1461–1468. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Calafat AM, Weuve J, Ye X, Jia LT, Hu H, Ringer S, et al. 2009. Exposure to bisphenol a and other phenols in neonatal intensive care unit premature infants. Environmental Health Perspectives 117:639–644. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Casas M, Valvi D, Ballesteros-Gomez A, Gascon M, Fernandez MF, Garcia-Esteban R, et al. 2016. Exposure to bisphenol a and phthalates during pregnancy and ultrasound measures of fetal growth in the inma-sabadell cohort. Environmental Health Perspectives 124:521–528. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chen M-H, Ng S, Hsieh C-J, Lin C-C, Hsieh W-S, Chen P-C. 2017. The impact of prenatal perfluoroalkyl substances exposure on neonatal and child growth. Science of The Total Environment 607–608:669–675. [DOI] [PubMed] [Google Scholar]
- Chen MH, Ha EH, Wen TW, Su YN, Lien GW, Chen CY, et al. 2012. Perfluorinated compounds in umbilical cord blood and adverse birth outcomes. PloS one 7:e42474. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Chou WC, Chen JL, Lin CF, Chen YC, Shih FC, Chuang CY. 2011. Biomonitoring of bisphenol a concentrations in maternal and umbilical cord blood in regard to birth outcomes and adipokine expression: A birth cohort study in taiwan. Environmental Health : a global access science source 10:94. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Darrow LA, Stein CR, Steenland K. 2013. Serum perfluorooctanoic acid and perfluorooctane sulfonate concentrations in relation to birth outcomes in the mid-Ohio valley, 2005–2010. Environmental Health Perspectives 121:1207–1213. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ding G, Wang C, Vinturache A, Zhao S, Pan R, Han W, et al. 2017. Prenatal low-level phenol exposures and birth outcomes in china. The Science of the Total Environment 607–608:1400–1407. [DOI] [PubMed] [Google Scholar]
- Duty SM, Mendonca K, Hauser R, Calafat AM, Ye X, Meeker JD, et al. 2013. Potential sources of bisphenol a in the neonatal intensive care unit. Pediatrics 131:483–489. [DOI] [PMC free article] [PubMed] [Google Scholar]
- EPA. 2017. United States Environmental Protection Agency technical fact sheet: Perfluorooctane sulfonate (pfos) and perfluorooctanoic acid (pfoa).
- Fei C, McLaughlin JK, Tarone RE, Olsen J. 2007. Perfluorinated chemicals and fetal growth: A study within the Danish national birth cohort. Environmental Health Perspectives 115:1677–1682. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fisher M, Arbuckle TE, Mallick R, LeBlanc A, Hauser R, Feeley M, et al. 2015. Bisphenol a and phthalate metabolite urinary concentrations: Daily and across pregnancy variability. Journal of Exposure Science & Environmental Epidemiology 25:231–239. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fromme H, Tittlemier SA, Volkel W, Wilhelm M, Twardella D. 2009. Perfluorinated compounds--exposure assessment for the general population in western countries. International journal of Hygiene and Environmental Health 212:239–270. [DOI] [PubMed] [Google Scholar]
- Fromme H, Mosch C, Morovitz M, Alba-Alejandre I, Boehmer S, Kiranoglu M, et al. 2010. Pre- and postnatal exposure to perfluorinated compounds (pfcs). Environmental Science & Technology 44:7123–7129. [DOI] [PubMed] [Google Scholar]
- Gaillard R, Rurangirwa AA, Williams MA, Hofman A, Mackenbach JP, Franco OH, et al. 2014. Maternal parity, fetal and childhood growth, and cardiometabolic risk factors. Hypertension (Dallas, Tex : 1979) 64:266–274. [DOI] [PubMed] [Google Scholar]
- Grantz KL, Grewal J, Albert PS, Wapner R, D’Alton ME, Sciscione A, et al. 2016. Dichorionic twin trajectories: The nichd fetal growth studies. American Journal of Obstetrics and Gynecology 215:221.e221–221.e216. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Grewal J, Grantz KL, Zhang C, Sciscione A, Wing DA, Grobman WA, et al. 2018. Cohort profile: Nichd fetal growth studies-singletons and twins. International Journal of Epidemiology 47:25–25l. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hamm MP, Cherry NM, Chan E, Martin JW, Burstyn I. 2010. Maternal exposure to perfluorinated acids and fetal growth. Journal of Exposure Science & Environmental Epidemiology 20:589–597. [DOI] [PubMed] [Google Scholar]
- Hinkle SN, Albert PS, Mendola P, Sjaarda LA, Yeung E, Boghossian NS, et al. 2014. The association between parity and birthweight in a longitudinal consecutive pregnancy cohort. Paediatric and Perinatal Epidemiology 28:106–115. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Huo W, Xia W, Wan Y, Zhang B, Zhou A, Zhang Y, et al. 2015. Maternal urinary bisphenol a levels and infant low birth weight: A nested case-control study of the health baby cohort in china. Environment International 85:96–103. [DOI] [PubMed] [Google Scholar]
- Kato K, Wong LY, Jia LT, Kuklenyik Z, Calafat AM. 2011. Trends in exposure to polyfluoroalkyl chemicals in the u.S. Population: 1999–2008. Environmental Science & Technology 45:8037–8045. [DOI] [PubMed] [Google Scholar]
- Khong TY, Adema ED, Erwich JJ. 2003. On an anatomical basis for the increase in birth weight in second and subsequent born children. Placenta 24:348–353. [DOI] [PubMed] [Google Scholar]
- Kim S, Choi K, Ji K, Seo J, Kho Y, Park J, et al. 2011. Trans-placental transfer of thirteen perfluorinated compounds and relations with fetal thyroid hormones. Environmental Science & Technology 45:7465–7472. [DOI] [PubMed] [Google Scholar]
- Koch HM, Aylward LL, Hays SM, Smolders R, Moos RK, Cocker J, et al. 2014. Inter-and intra-individual variation in urinary biomarker concentrations over a 6-day sampling period. Part 2: Personal care product ingredients. Toxicology Letters 231:261–269. [DOI] [PubMed] [Google Scholar]
- Koval P, Ogrinz B, Kuppens P, Van den Bergh O, Tuerlinckx F, Sutterlin S. 2013. Affective instability in daily life is predicted by resting heart rate variability. PloS one 8:e81536. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lassen TH, Frederiksen H, Jensen TK, Petersen JH, Main KM, Skakkebaek NE, et al. 2013. Temporal variability in urinary excretion of bisphenol a and seven other phenols in spot, morning, and 24-h urine samples. Environmental Research 126:164–170. [DOI] [PubMed] [Google Scholar]
- Lauritzen HB, Larose TL, Oien T, Sandanger TM, Odland JO, van de Bor M, et al. 2017. Maternal serum levels of perfluoroalkyl substances and organochlorines and indices of fetal growth: A Scandinavian case-cohort study. Pediatric Research 81:33–42. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lee BE, Park H, Hong YC, Ha M, Kim Y, Chang N, et al. 2014. Prenatal bisphenol a and birth outcomes: Moceh (mothers and children’s environmental health) study. International journal of Hygiene and Environmental Health 217:328–334. [DOI] [PubMed] [Google Scholar]
- Lee ES, Han S, Oh JE. 2016. Association between perfluorinated compound concentrations in cord serum and birth weight using multiple regression models. Reproductive Toxicology (Elmsford, NY) 59:53–59. [DOI] [PubMed] [Google Scholar]
- Lee YJ, Kim MK, Bae J, Yang JH. 2013. Concentrations of perfluoroalkyl compounds in maternal and umbilical cord sera and birth outcomes in Korea. Chemosphere 90:1603–1609. [DOI] [PubMed] [Google Scholar]
- Li M, Zeng XW, Qian ZM, Vaughn MG, Sauve S, Paul G, et al. 2017. Isomers of perfluorooctanesulfonate (pfos) in cord serum and birth outcomes in china: Guangzhou birth cohort study. Environment International 102:1–8. [DOI] [PubMed] [Google Scholar]
- Ma WL, Kannan K, Wu Q, Bell EM, Druschel CM, Caggana M, et al. 2013. Analysis of polyfluoroalkyl substances and bisphenol a in dried blood spots by liquid chromatography tandem mass spectrometry. Analytical and Bioanalytical Chemistry 405:4127–4138. [DOI] [PubMed] [Google Scholar]
- Maisonet M, Terrell ML, McGeehin MA, Christensen KY, Holmes A, Calafat AM, et al. 2012. Maternal concentrations of polyfluoroalkyl compounds during pregnancy and fetal and postnatal growth in british girls. Environmental Health Perspectives 120:1432–1437. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Martin JA, Hamilton BE, Osterman MJ, Driscoll AK, Mathews TJ. 2017. Births: Final data for 2015. National vital statistics reports : from the Centers for Disease Control and Prevention, National Center for Health Statistics, National Vital Statistics System 66:1. [PubMed] [Google Scholar]
- Miller HC, Hassanein K. 1971. Diagnosis of impaired fetal growth in newborn infants. Pediatrics 48:511–522. [PubMed] [Google Scholar]
- Miranda ML, Edwards SE, Myers ER. 2011. Adverse birth outcomes among nulliparous vs. Multiparous women. Public Health Reports (Washington, DC : 1974) 126:797–805. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Monroy R, Morrison K, Teo K, Atkinson S, Kubwabo C, Stewart B, et al. 2008. Serum levels of perfluoroalkyl compounds in human maternal and umbilical cord blood samples. Environmental Research 108:56–62. [DOI] [PubMed] [Google Scholar]
- Negri E, Metruccio F, Guercio V, Tosti L, Benfenati E, Bonzi R, et al. 2017. Exposure to pfoa and pfos and fetal growth: A critical merging of toxicological and epidemiological data. Critical Reviews in Toxicology 47:482–508. [DOI] [PubMed] [Google Scholar]
- Oken E, Kleinman KP, Rich-Edwards J, Gillman MW. 2003. A nearly continuous measure of birth weight for gestational age using a United States national reference. BMC Pediatrics 3:6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Olsen GW, Butenhoff JL, Zobel LR. 2009. Perfluoroalkyl chemicals and human fetal development: An epidemiologic review with clinical and toxicological perspectives. Reproductive Toxicology (Elmsford, NY) 27:212–230. [DOI] [PubMed] [Google Scholar]
- Padmanabhan V, Siefert K, Ransom S, Johnson T, Pinkerton J, Anderson L, et al. 2008. Maternal bisphenol-a levels at delivery: A looming problem? Journal of Perinatology : official journal of the California Perinatal Association 28:258–263. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pergialiotis V, Kotrogianni P, Christopoulos-Timogiannakis E, Koutaki D, Daskalakis G, Papantoniou N. 2017. Bisphenol a and adverse pregnancy outcomes: A systematic review of the literature. The Journal of Maternal-Fetal & Neonatal Medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstet:1–8. [DOI] [PubMed] [Google Scholar]
- Philippat C, Mortamais M, Chevrier C, Petit C, Calafat AM, Ye X, et al. 2012. Exposure to phthalates and phenols during pregnancy and offspring size at birth. Environmental Health Perspectives 120:464–470. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pinney SE, Mesaros CA, Snyder NW, Busch CM, Xiao R, Aijaz S, et al. 2017. Second trimester amniotic fluid bisphenol a concentration is associated with decreased birth weight in term infants. Reproductive Toxicology (Elmsford, NY) 67:1–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Rappazzo KM, Coffman E, Hines EP. 2017. Exposure to perfluorinated alkyl substances and health outcomes in children: A systematic review of the epidemiologic literature. International Journal of Environmental Research and Public Health 14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Robledo CA, Yeung E, Mendola P, Sundaram R, Maisog J, Sweeney AM, et al. 2015. Preconception maternal and paternal exposure to persistent organic pollutants and birth size: The life study. Environmental Health Perspectives 123:88–94. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Roohan PJ, Josberger RE, Acar J, Dabir P, Feder HM, Gagliano PJ. 2003. Validation of birth certificate data in new york state. Journal of community health 28:335–346. [DOI] [PubMed] [Google Scholar]
- Schisterman EF, Vexler A, Whitcomb BW, Liu AY. 2006. The limitations due to exposure detection limits for regression models. American Journal of Epidemiology 163:374–383. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Shi Y, Yang L, Li J, Lai J, Wang Y, Zhao Y, et al. 2017. Occurrence of perfluoroalkyl substances in cord serum and association with growth indicators in newborns from Beijing. Chemosphere 169:396–402. [DOI] [PubMed] [Google Scholar]
- Smarr MM, Grantz KL, Sundaram R, Maisog JM, Kannan K, Louis GM. 2015. Parental urinary biomarkers of preconception exposure to bisphenol a and phthalates in relation to birth outcomes. Environmental Health: A global access science source 14:73. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Snijder CA, Heederik D, Pierik FH, Hofman A, Jaddoe VW, Koch HM, et al. 2013. Fetal growth and prenatal exposure to bisphenol a: The generation r study. Environmental Health Perspectives 121:393–398. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Spliethoff HM, Tao L, Shaver SM, Aldous KM, Pass KA, Kannan K, et al. 2008. Use of newborn screening program blood spots for exposure assessment: Declining levels of perluorinated compounds in new york state infants. Environmental Science & Technology 42:5361–5367. [DOI] [PubMed] [Google Scholar]
- Tao L, Ma J, Kunisue T, Libelo EL, Tanabe S, Kannan K. 2008. Perfluorinated compounds in human breast milk from several asian countries, and in infant formula and dairy milk from the united states. Environmental Science & Technology 42:8597–8602. [DOI] [PubMed] [Google Scholar]
- Trogstad LI, Eskild A, Magnus P, Samuelsen SO, Nesheim BI. 2001. Changing paternity and time since last pregnancy; the impact on pre-eclampsia risk. A study of 547 238 women with and without previous pre-eclampsia. International Journal of Epidemiology 30:1317–1322. [DOI] [PubMed] [Google Scholar]
- Villamor E, Cnattingius S. 2006. Interpregnancy weight change and risk of adverse pregnancy outcomes: A population-based study. Lancet (London, England) 368:1164–1170. [DOI] [PubMed] [Google Scholar]
- Wang A, Padula A, Sirota M, Woodruff TJ. 2016. Environmental influences on reproductive health: The importance of chemical exposures. Fertility and Sterility 106:905–929. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Washino N, Saijo Y, Sasaki S, Kato S, Ban S, Konishi K, et al. 2009. Correlations between prenatal exposure to perfluorinated chemicals and reduced fetal growth. Environmental Health Perspectives 117:660–667. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Whitworth KW, Haug LS, Baird DD, Becher G, Hoppin JA, Skjaerven R, et al. 2012. Perfluorinated compounds in relation to birth weight in the norwegian mother and child cohort study. American Journal of Epidemiology 175:1209–1216. [DOI] [PMC free article] [PubMed] [Google Scholar]
- WHO. 2013. World health organization. State of the science of endocrine disrupting chemicals: 2012. United Nations Environment Programme and the World Health Organization, 2013.
- Woodruff TJ, Zota AR, Schwartz JM. 2011. Environmental chemicals in pregnant women in the united states: Nhanes 2003–2004. Environmental Health Perspectives 119:878–885. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Woods MM, Lanphear BP, Braun JM, McCandless LC. 2017. Gestational exposure to endocrine disrupting chemicals in relation to infant birth weight: A bayesian analysis of the home study. Environmental Health : a global access science source 16:115. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wu K, Xu X, Peng L, Liu J, Guo Y, Huo X. 2012. Association between maternal exposure to perfluorooctanoic acid (pfoa) from electronic waste recycling and neonatal health outcomes. Environment International 48:1–8. [DOI] [PubMed] [Google Scholar]
- Yeung EH, McLain AC, Anderson N, Lawrence D, Boghossian NS, Druschel C, et al. 2015. Newborn adipokines and birth outcomes. Paediatr Perinat Epidemiol 29:317–325. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yeung EH, Louis GB, Lawrence D, Kannan K, McLain AC, Caggana M, et al. 2016. Eliciting parental support for the use of newborn blood spots for pediatric research. BMC Medical Research Methodology 16:14. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zeger SL, Liang KY. 1986. Longitudinal data analysis for discrete and continuous outcomes. Biometrics 42:121–130. [PubMed] [Google Scholar]
- Zhang T, Sun H, Qin X, Gan Z, Kannan K. 2015. Pfos and pfoa in paired urine and blood from general adults and pregnant women: Assessment of urinary elimination. Environmental Science and Pollution Research International 22:5572–5579. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.