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. Author manuscript; available in PMC: 2017 Jul 1.
Published in final edited form as: Environ Res. 2017 Apr 5;156:326–333. doi: 10.1016/j.envres.2017.03.038

Bisphenol A and phthalates in utero and in childhood: association with child BMI z-score and adiposity

Tiffany C Yang a,b, Karen E Peterson a,c, John D Meeker d, Brisa N Sánchez e, Zhenzhen Zhang a,e, Alejandra Cantoral f, Maritsa Solano f, Martha M Tellez-Rojo f
PMCID: PMC5482500  NIHMSID: NIHMS867144  PMID: 28390300

Abstract

Objective

To assess the relationship between in utero and concurrent child urinary exposures to bisphenol A (BPA) and phthalates with BMI z-score, waist circumference, and sum of triceps and subscapular skinfold thickness in Mexican children.

Methods

Among participants (N=249) from the Early Life Exposure in Mexico to ENvironmental Toxicants study, we evaluated associations between maternal third trimester and concurrent urinary BPA and individual and summed phthalates metabolites (ΣDi(2-ethylhexyl phthalate, Σhigh molecular weight, Σlow molecular weight) with measures of weight status and adiposity in children aged 8 to 14 years. Linear regressions with specific-gravity corrected and natural log-transformed urinary concentrations were estimated, adjusting for covariates. Effect modification by sex was explored.

Results

Prenatal urinary exposure to monobenzyl phthalate (MBzP) was inversely associated with child's BMI z-score (β=-0.21, 95%CI: -0.41, -0.02) and child urinary exposure to mono(2-ethylhexyl)phthalate (MEHP) was inversely associated with waist circumference (β=-1.85, 95%CI:-3.36, -0.35) and sum of skinfold thicknesses (β=-2.08, 95%CI: -3.80, -0.37) after adjusting for confounders. In the childhood exposure period, sex modified the relationships with BPA, MEHP, MBzP, monoethyl phthalate (MEP), mono(2-ethyl-5-hydroxyhexyl) phthalate (MEHHP), mono(2-ethyl-5-oxohexyl) phthalate (MEOHP), and mono(2-ethyl-5-carboxypentyl) phthalate (MECPP). In girls, increased BPA exposure was positively associated with BMI z-score (β=3.47, 95%CI:-0.05, 6.40) while increased MEHP was inversely associated with sum of skinfold thickness in boys (β=-2.08, 95%CI: -3.80, -0.37); these results remained in sensitivity analyses after excluding children who had initiated pubertal development (Tanner stage >1 for pubic hair). We did not observe relationships between summed phthalates metabolites at any exposure period with outcome measures.

Conclusion

Our results identified associations between urinary BPA and phthalates metabolites with measures of weight status and adiposity that differed by timing of exposure, sex, and pubertal status. Additional studies are needed to explore how associations may differ between those who are pre- and post-pubertal.

Keywords: BMI, Adiposity, Bisphenol A, Phthalates, Adolescence

Introduction

Childhood obesity continues to be a globally persistent disease with a wide range of complications and is known to track into adulthood.13 Differences between energy intake and physical activity expenditure are considered the largest risk factors for the development of obesity, but increasing evidence suggests exposures to environmental endocrine-disrupting compounds (EDCs) such as bisphenol A (BPA) and phthalates are implicated in weight dysregulation.4,5

BPA and phthalates are multi-functional materials used in everyday products, resulting in widespread exposure to these compounds and their metabolites.6,7 BPA is frequently found in plastic food containers, the lining of food cans, toys, and thermal receipt paper.8,9 Phthalates are also found in a variety of common consumer goods. Low molecular weight (LMW) phthalates are generally used in personal care products such as lotions, creams, and perfumes, while high molecular weight (HMW) phthalates are used as a component of harder plastics, such as vinyl flooring, food containers, and medical tubing.1013 These metabolites have been detected during pregnancy, as well as in the amniotic sac and cord blood.7,8,14

Cross-sectional studies in humans show that urinary BPA and phthalates metabolites may be associated with increased body mass index (BMI), waist circumference, and adiposity, with suggestions of sex differences, but results remain inconclusive depending on population, sex, and age of exposure.1529 Few longitudinal studies relate in utero exposures to obesity-related outcomes in later childhood and adolescence.30 A prospective study of prenatal exposure to BPA in the Rhea cohort from Greece found increased exposure to be positively associated with BMI z-scores in boys at 4 years of age, but negatively with girls, while cross-sectional analyses of these children at 4 years old observed higher BPA concentrations to be associated with increased BMI z-scores, waist circumference, and sum of skinfold thickness.31 Phthalates studies are also inconclusive: in utero exposures were found to have no association with fat mass in children aged 4-9 years,28 decreased BMI z-scores only in girls aged 4-7 years,29 or only in boys aged 4 or 7 years old.32

BPA and phthalates are well-known to be endocrine-disrupting chemicals.5,33 Exposures to these compounds could increase risk of developing chronic diseases, such as altered weight status, through potential mechanisms: alterations in thyroid hormone, in estrogen and androgen levels, in glucose tolerance and insulin resistance, or through the peroxisome proliferator pathways.5,8,34 As pregnancy is a sensitive period for the development of obesity to offspring due to rapid cell differentiation occurring in the fetus, exposures to these compounds during this period are of special concern.35,36 Accumulating evidence suggests these compounds play a role in influencing physiology from the perinatal period onwards, with animal studies showing effects on weight gain, adiposity, and alterations in satiety hormones.3741

In a population of children and youths aged 8-14 years old in Mexico City, this study investigated the impact of prenatal and concurrent exposures to BPA and phthalates metabolites on BMI z-score, waist circumference, and skinfolds in children older than previously reported in the literature. We also explored sex-specific differences in these associations.

Materials and Methods

Study population

The study population involved participants (N=249) from the 22-year Early Life Exposure in Mexico to ENvironmental Toxicants (ELEMENT) research collaboration with Mexico's Instituto Nacional de Salud Pública (INSP) that consists of three birth cohorts developed to study the role that exposures to environmental toxicants play on health and development in early life. Between 1994 and 2003, 2075 mothers were recruited during the first trimester of pregnancy or at delivery from maternity hospitals in Mexico City. Similar exclusion criteria were applied to all cohorts, including living outside Mexico City, gestational diabetes, preeclampsia, or pregnancy-related hypertensive disorders, as well as other criteria as described elsewhere.4244 Study methods have been described previously.4247 In 2012, 250 mother-child pairs from cohorts 2 and 3 were re-recruited when the children were between the ages of 8 and 14 years, in order to prioritize the peripubertal period and the availability archived maternal biological specimens. Among the 250 children, 249 had complete data on all outcomes; of these, 132 were males and 117 were females.

Mothers were given detailed information regarding study procedures and signed a letter of informed consent at the time of initial recruitment and follow-up when children were 8-14 years old. The research protocols were approved by the Ethics and Research Committees of INSP in Mexico, and the Institutional Review Boards at Harvard University and University of Michigan Schools of Public Health.

Urinary BPA and phthalates metabolites

A spot (second morning void) urine sample was collected from each woman during her third-trimester visit to the project's research center and frozen at − 80° C; these samples were later matched to the urine samples collected from children at the follow-up visit in 2012 when they were between the ages of 8-14 years. Samples were analyzed for total (free + glucuronidated) BPA and nine phthalates metabolites by isotope dilution-liquid chromatography-tandem mass spectrometry using validated modification of the Centers for Disease Control and Prevention (CDC) methods by NSF International (Ann Arbor, MI, USA); further details are described elsewhere.12,48,49 The nine phthalates metabolites measured were monoethyl phthalate (MEP), mono-n-butyl phthalate (MBP), mono-isobutyl phthalate (MiBP), mono(3-carboxypropyl) phthalate (MCPP), monobenzyl phthalate (MBzP), mono(2-ethylhexyl) phthalate (MEHP), mono(2-ethyl-5-hydroxyhexyl) phthalate (MEHHP), mono(2-ethyl-5-oxohexyl) phthalate (MEOHP), and mono(2-ethyl-5-carboxypentyl) phthalate (MECPP). Specific gravity (SG) of the urine samples was measured using a handheld digital refractometer (ATAGO Company Ltd., Tokyo, Japan). Urinary concentrations below the limit of quantitation (LOQ) were assigned a value of LOQ/sqrt(2).

We calculated the molar sums of the DEHP metabolites (ΣDEHP) because they occur from the same parent phthalate, and also of HMW (ΣHMW) and LMW (ΣLMW) phthalates because they represent similar sources and biological activity. Molar sums were calculated by dividing metabolite concentrations by their molecular weight (MW) and summing across. ΣDEHP included MEHP (MW 278), MEHHP (MW 294), MEOHP (MW 292), and MECPP (MW 308). ΣHMW included ΣDEHP, MCPP (MW 251) and MBzP (MW 256). ΣLMW included MEP (MW 194), MiBP (MW 222), and MBP (MW 222). In order to enable comparisons to other studies, molar sums were expressed in nanograms/milliliter by multiplying ΣDEHP and ΣHMW with the molecular weight of MEHP, and multiplying ΣLMW with the molecular weight of MEP.50

Individual and summed metabolites were then corrected for SG using: Pc=P[SGp-1)/(SGi-1)], where Pc is the SG-corrected BPA or phthalates metabolite concentration (ng/mL), P is the measured urinary BPA or phthalates metabolite concentration, SGp is the median of the urinary specific gravities for the sample (SGp for mothers = 1.013, for children = 1.018), and SGi is the urinary specific gravity for the individual.51

Anthropometric outcomes

Children's anthropometry was obtained at a single follow-up visit between the ages of 8 and 14 years by study personnel using established research protocol.52 Waist circumference was measured with a non-stretchable tape (QM2000; QuickMedical) to the nearest 0.1 cm. Triceps and subscapular skinfold thicknesses (TSF, SSF) were measured using a Lange skinfold caliper (Lange; Beta Technology) to the nearest 0.1 mm. Duplicate measures were taken of weight and height and triplicate measures were taken of waist circumference and skinfold measurements. An additional measurement was taken if intra-personal variability exceeded the measurement tolerance of 0.5 cm and observed values were averaged. To provide comparable indices with other international studies of weight status, age- and sex-specific BMI z-scores were calculated using the 2007 World Health Organization (WHO) reference growth standard.53

Covariates

Sociodemographic characteristics of the mother were collected via questionnaires administered by study personnel to the mother at the third trimester visit. Socioeconomic status was represented by the number of years of schooling completed by the mother at enrollment. At one month postpartum, maternal weight (BAME Mod 420; Catálogo Médico) was measured to the nearest 0.1 kg; height (BAME Mod 420; Catálogo Médico) was measured to the nearest 0.1 cm.

Statistical analysis

Data analysis was completed using SAS version 9.4 for Windows (SAS Institute, Cary, NC, USA). Distributions of SG-corrected BPA and individual and summed phthalates metabolites were log-normally distributed and were ln-transformed to normality prior to regression analyses. Geometric means (standard deviation) and distributions of SG-corrected BPA and individual and summed phthalates metabolite concentrations were calculated for third trimester and child exposure periods.

We used linear regression to assess the association between ln-transformed BPA and individual and summed phthalates metabolites with continuous outcome measures (BMI z-score, waist circumference, and sum of skinfolds54) prospectively with maternal urinary concentrations and cross-sectionally when the youths were aged 8-14. Linear regression models were first constructed with ln-transformed and SG-corrected BPA and phthalates metabolites in crude models. We elected to adopt a confounders-only approach to the a priori selection of covariates.55 All models were adjusted for mother's age and years of education at enrollment and BMI at one month postpartum. In addition, models for waist circumference and sum of skinfolds were adjusted for child's age and sex. Mother's BMI at 1 month postpartum was used due to missing values of self-reported pre-pregnancy BMI in the analytic sample and because it would be correlated with pre-pregnancy BMI and gestational weight gain. To assess the potential modifying effect of child's sex at follow-up, we then included appropriate interaction terms and estimated models stratified by sex for those EDCs with significant interaction terms, consistent with previous reports.16,33,5658 In sensitivity analyses, we additionally adjusted for mother's smoking history (yes/no). We repeated analyses after excluding children who had initiated puberty using physician-assessed Tanner stage for pubic hair (stage >1, N=54) as an indicator, where stage 1 indicates no pubertal development and stage 5 indicates full pubertal development.59 We also repeated analyses excluding children who were born preterm (gestational age <37 weeks; N=57). We considered statistical significance as alpha level of 0.10 for interaction terms and 0.05 for effect estimates. We explored the possibility of non-monotonic relationships using generalized additive models and noted departures from linearity with deviance p values, but the small sample size precluded further meaningful exploration of associations across quantiles of exposure.

Results

There were 249 children (47% female) with an average age of 10 years (Table 1). Girls had significantly higher sum of skinfold thicknesses (30 vs 25 mm; p<0.001) but did not differ in waist circumference or BMI z-score. Mothers were, on average, 27 (SD: 5.4) years old at time of delivery, had completed 11 (SD: 2.8) years of schooling, and were overweight.

Table 1.

Maternal and child characteristics in the ELEMENT cohort in Mexico City, Mexico.

Child characteristics N Mean (SD)/%
Age (years) 249 10.3 (1.6)
Female sex 117 47
Weight (kg) 249 37.9 (11.0)
Height (cm) 249 138 (10)
BMI z-score 249 0.89 (1.2)
Waist circumference (cm) 249 70.7 (10.6)
Sum of skinfolds (mm) 249 28 (11.7)
Maternal characteristics
Age (years) 245 26.6 (5.4)
BMI (kg/m2) 240 27 (3.9)
Education (years) 245 11 (2.8)

The majority of prenatal urinary samples show detectable concentrations of SG-corrected metabolites, with the lowest detection in BPA measures (30%<LOQ) (Table 2). There were fewer samples below the LOQ among child urinary measures and, with the exception of MEP, higher geometric means were reported in child compared to prenatal measures. Spearman correlations of SG-corrected BPA and individual phthalates metabolites were weakly to highly correlated (range 0.13-0.98) within each time period while concentrations between prenatal and child measures were weakly correlated (range 0.14-0.19) (data not shown).

Table 2.

Distribution of specific-gravity corrected prenatal BPA and individual and ΣDEHP, ΣHMW, and ΣLMW phthalates metabolites in the prenatal and child exposure periods.

Percentiles

Analyte LOQ %>LOQ GM(SD) Minimum 25th 50th 75th Maximum
Prenatal N=223
BPA 0.4 70 0.74 (2.1) 0.14 0.5 0.7 1.1 15
MBP 0.5 100 56.9 (2.7) 2.39 31.9 57.2 108.1 1094
MBzP 0.2 99.6 4.5 (2.5) 0.08 2.8 4.6 7.8 106
MCPP 0.2 94 1.2 (2.3) 0.08 0.7 1.2 1.9 13
MEP 1 99.6 118.1 (3.8) 2.3 45.1 113.8 231.1 12659
MIBP 0.2 98 1.99 (2.5) 0.11 1.1 1.9 3.3 37
MEHP 1 91 5.2 (2.4) 0.54 3.1 5.8 9.1 57
MECPP 0.2 100 33.2 (2.2) 0.95 21.3 34 55.9 290
MEHHP 0.1 100 20.4 (2.4) 0.62 12.4 20.8 36.4 180
MEOHP 0.1 100 12.3 (2.3) 0.34 7.2 12.4 21.5 102
ΣDEHP - - 64.8 (2.6) 1.25 35.2 74.6 126.6 513
ΣHMW - - 73.3 (2.5) 4.62 40.5 80.3 135.9 527
ΣLMW - - 190.2 (3.6) 2.02 88.8 180.3 395.2 10855

Child N=242
BPA 0.4 85 1.4 (2.3) 0.3 0.8 1.3 2.3 25
MBP 0.5 100 119.5 (2.3) 13.1 68.1 109.3 182.9 3649
MBzP 0.2 100 6.6 (2.1) 0.5 4 6.3 10.4 151
MCPP 0.2 99 2.5 (2.2) 0.3 1.5 2.3 3.7 132
MEP 1 100 93.8 (3.7) 5.7 36.1 77.6 191.5 8132
MIBP 0.2 100 11.8 (2.1) 2 8 11 15.8 257
MEHP 1 94 6.8 (2.5) 0.6 3.9 7 11.5 1432
MECPP 0.2 100 73.4 (2.2) 11.4 45.8 65.7 102.3 9675
MEHHP 0.1 100 53.8 (2.3) 5.2 31.5 50.2 78.9 10275
MEOHP 0.1 100 23.8 (2.3) 2.2 14.6 21.8 34.7 4500
ΣDEHP - - 128.8 (2.4) 9.4 72.9 128.4 219 32220
ΣHMW - - 141 (2.4) 9.8 81.3 141.9 236.9 32251
ΣLMW - - 220.8 (2.9) 11.9 102.7 197.7 420.7 6202

Metabolites are shown after replacing values < LOQ with LOQ/sqrt(2) and correcting for specific gravity (ng/mL).

LOQ=limit of quantification; GM=geometric mean; SD=standard deviation.

Ln-transformed SG-corrected prenatal MBzP was significantly associated with a decrease in child's BMI z-score at ages 8-14 (β=-0.21, 95%CI: -0.41, -0.02) after controlling for confounders (Table 3). There were no other associations detected from the prenatal exposure period and we did not observe any modification of associations by sex.

Table 3.

Associations between prenatal urinary BPA, individual, and summed ΣDEHP, ΣHMW, ΣLMW phthalates metabolites with BMI z-score, waist circumference, and sum of skinfolds in children aged 8-14 years old.

BMI z-score Waist circumference (cm) Sum of skinfolds (mm)



Analyte Crude β (95%CI) Adj. β (95%CI) P-sex interaction Crude β (95%CI) Adj. β (95%CI) P-sex interaction Crude β (95%CI) Adj. β (95%CI) P-sex interaction
BPA -0.14 (-0.35, 0.07) -0.18 (-0.41, 0.04) 0.21 -0.99 (-2.79, 0.81) -1.09 (-3.05, 0.87) 0.46 -0.44 (-2.47, 1.58) -1.33 (-3.60, 0.95) 0.62
MBP -0.08 (-0.24, 0.07) -0.06 (-0.23, 0.11) 0.43 -0.62 (-1.96, 0.72) -0.58 (-2.02, 0.85) 0.58 -0.28 (-1.79, 1.23) -0.09 (-1.76, 1.58) 0.93
MBzP -0.19 (-0.36, -0.01) -0.21 (-0.41, -0.02) 0.44 -0.58 (-2.08, 0.93) -1.03 (-2.62, 0.56) 0.50 0.03 (-1.66, 1.73) -0.17 (-2.03, 1.69) 0.77
MCPP -0.12 (-0.31, 0.08) -0.05 (-0.26, 0.17) 0.76 -0.90 (-2.58, 0.78) -0.23 (-2.05, 1.58) 0.75 -0.71 (-2.60, 1.17) 0.31 (-1.80, 2.42) 0.64
MEP -0.08 (-0.20, 0.04) -0.06 (-0.18, 0.06) 0.71 -0.36 (-1.39, 0.66) -0.27 (-1.31, 0.77) 0.82 0.08 (-1.07, 1.24) 0.21 (-1.01, 1.42) 0.84
MIBP -0.09 (-0.26, 0.09) -0.13 (-0.33, 0.07) 0.56 -1.16 (-2.66, 0.35) -0.98 (-2.65, 0.69) 0.78 -0.86 (-2.55, 0.83) -0.59 (-2.53, 1.36) 0.82
MEHP -0.06 (-0.23, 0.12) -0.02 (-0.21, 0.16) 0.15 -0.27 (-1.80, 1.26) -0.35 (-1.91, 1.24) 0.89 -0.69 (-2.40, 1.02) -0.59 (-2.42, 1.23) 0.88
MECPP -0.11 (-0.31, 0.10) -0.07 (-0.30, 0.15) 0.94 -0.28 (-2.06, 1.50) -0.22 (-2.11, 1.67) 0.64 -0.35 (-2.35, 1.65) -0.21 (-2.40, 1.99) 0.89
MEHHP -0.08 (-0.26, 0.10) -0.03 (-0.23, 0.17) 0.61 -0.13 (-1.70, 1.45) 0.08 (-1.59, 1.76) 0.86 -0.31 (-2.08, 1.45) -0.04 (-1.98, 1.91) 0.72
MEOHP -0.10 (-0.28, 0.09) -0.04 (-0.24, 0.16) 0.71 -0.18 (-1.79,1.42) -0.05 (-1.78, 1.67) 0.85 -0.16 (-1.97, 1.64) 0.16 (-1.84, 2.17) 0.77
ΣDEHP -0.09 (-0.26, 0.07) -0.06 (-0.25, 0.12) 0.77 -0.30 (-1.73, 1.13) -0.26 (-1.80, 1.27) 0.50 -0.60 (-2.20, 1.01) -0.47 (-2.26, 1.31) 0.5
ΣHMW -0.10 (-0.28, 0.07) -0.08 (-0.27, 0.12) 0.76 -0.27 (-1.78, 1.24) -0.27 (-1.91, 1.37) 0.51 -0.51 (-2.21, 1.18) -0.43 (-2.34, 1.47) 0.52
ΣLMW -0.11 (-0.23, 0.02) -0.09 (-0.22, 0.05) 0.91 -0.6 (-1.68, 0.48) -0.53 (-1.64, 0.57) 0.95 -0.36 (-1.57, 0.85) -0.22 (-1.51, 1.07) 0.98

N=223 (crude), 177 (adjusted).

All models are adjusted for mother's age, BMI, and years of schooling. Waist circumference and sum of skinfold outcomes are also adjusted for child's age and sex.

Metabolites are SG-corrected and ln-transformed (ng/mL).

In child urinary measures, we observed inverse associations between MEHP and waist circumference (β=-1.86, 95%CI:-3.36, -0.35) and sum of skinfold measurements (β=-2.08, 95%CI: -3.80, -0.37) after controlling for confounders (Table 4). Child sex modified the relationships between BPA and BMI z-score (p for interaction=0.06) and sum of skinfolds (p for interaction=0.03), MEHP and sum of skinfolds (p for interaction=0.08), and between MBzP, MEP, MECPP, MEHHP, and MEOHP across the three outcome measures. These metabolites were reanalyzed after stratifying by sex (Table 5). Increased concentrations of ln-transformed SG-corrected BPA in girls were associated with an increase in sum of skinfolds (β=3.47, 95%CI:0.05, 6.40) while exposure to MEHP, MECPP, MEHHP, and MEOHP were inversely associated with child outcomes in boys.

Table 4.

Associations between child urinary BPA, individual, and summed ΣDEHP, ΣHMW, ΣLMW phthalates metabolites with BMI z-score, waist circumference, and sum of skinfolds in children aged 8-14 years old.

BMI z-score Waist circumference (cm) Sum of skinfolds (mm)



Analyte Crude β (95%CI) Adj. β (95%CI) P-sex interaction Crude β (95%CI) Adj. β (95%CI) P-sex interaction Crude β (95%CI) Adj. β (95%CI) P-sex interaction
BPA -0.04 (-0.22, 0.15) 0.05 (-0.16, 0.25) 0.06 0.27 (-1.39, 1.92) 0.57 (-1.16, 2.30) 0.15 0.50 (-1.34, 2.34) 0.97 (-1.01, 2.94) 0.03
MBP -0.17 (-0.35, 0.01) -0.04 (-0.23, 0.16) 0.25 -1.21 (-2.80, 0.37) -0.54 (-2.21, 1.13) 0.47 -0.78 (-2.54, 0.99) 0.35 (-1.56, 2.26) 0.21
MBzP -0.03 (-0.23, 0.17) -0.01 (-0.23, 0.22) 0.08 -0.83 -2.62, 0.95) -0.71 (-2.63, 1.22) 0.08 -0.08 (-2.06, 1.90) 0.31 (-1.89, 2.51) 0.07
MCPP -0.23 (-0.42, -0.04) -0.12 (-0.32, 0.09) 0.54 -1.83 (-3.50, -0.14) -1.10 (-2.88, 0.68) 0.38 -1.23 (-3.10, 0.64) -0.32 (-2.36, 1.72) 0.40
MEP 0.01 (-0.10, 0.13) 0.02 (-0.11, 0.15) 0.07 0.54 (-0.49, 1.57) 0.09 (-1.04, 1.22) 0.06 0.48 (-0.66, 1.62) -0.02 (-1.32, 1.27) 0.06
MIBP -0.10 (-0.31, 0.10) -0.07 (-0.30, 0.16) 0.54 -0.97 (-2.81, 0.87) -0.61 (-2.60, 1.37) 0.72 -0.48 (-2.52, 1.57) -0.22 (-2.50, 2.05) 0.79
MEHP -0.10 (-0.26, 0.06) -0.18 (-0.36, 0.0001) 0.28 -0.69 (-2.16, 0.78) -1.86 (-3.36, -0.35) 0.22 -1.11 (-2.73, 0.51) -2.08 (-3.80, -0.37) 0.08
MECPP -0.01 (-0.21, 0.18) -0.06 (-0.27, 0.14) 0.02 -0.77 (-2.49, 0.94) -0.91 (-2.66, 0.83) 0.04 -0.51 (-2.41, 1.40) -0.71 (-2.71, 1.29) 0.03
MEHHP -0.004 (-0.19, 0.18) -0.04 (-0.24, 0.15) 0.01 -0.65 (-2.26, 0.97) -0.76 (-2.42, 0.89) 0.03 -0.25 (-2.04, 1.55) -0.45 (-2.35, 1.44) 0.02
MEOHP -0.04 (-0.23, 0.14) -0.08 (-0.28, 0.12) 0.02 -0.90 (-2.55, 0.75) -0.94 (-2.61, 0.73) 0.04 -0.53 (-2.36, 1.29) -0.63 (-2.55, 1.28) 0.03
ΣDEHP -0.04 (-0.23, 0.14) -0.10 (-0.28, 0.08) 0.17 -0.65 (-2.17, 0.88) -1.12 (-2.65, 0.39) 0.31 -0.42 (-2.11, 1.28) -0.73 (-2.48, 1.01) 0.22
ΣHMW -0.04 (-0.21, 0.13) -0.12 (-0.30, 0.06) 0.22 -0.76 (-2.32, 0.79) -1.28 (-2.83, 0.26) 0.39 -0.52 (-2.25, 1.20) -0.85 (-2.62, 0.93) 0.26
ΣLMW -0.06 (-0.23, 0.11) -0.04 (-0.20, 0.11) 0.88 -0.08 (-1.33, 1.18) -0.49 (-1.83, 0.86) 0.99 0.01 (-1.38, 1.40) -0.09 (-1.63, 1.45) 0.93

N=242 (crude), 194 (adjusted).

All models are adjusted for mother's age, BMI, and years of schooling. Waist circumference and sum of skinfold outcomes are also adjusted for child's age and sex.

Metabolites are SG-corrected and ln-transformed (ng/mL).

Table 5.

Sex-stratified associations between child urinary metabolites and BMI z-score, waist circumference, and sum of skinfolds identified.

BMI z-score Waist circumference (cm) Sum of skinfolds (mm)

β (95%CI) β (95%CI) β (95%CI)

BPA
Female 0.27 (-0.03, 0.59) - - 3.47 (0.05, 6.40)
Male -0.13 (-0.42, 0.15) - - -0.67 (-3.46, 2.12)
MBzP
Female 0.19 (-0.13, 0.51) 0.89 (-1.89, 3.68) 2.22 (-0.84, 5.28)
Male -0.22 (-0.55, 0.11) -2.64 (-5.31, 0.02) -2.01 (-5.21, 1.19)
MEP
Female 0.14 (-0.05, 0.34) 0.95 (-0.78, 2.67) 0.92 (-0.99, 2.84)
Male -0.09 (-0.28, 0.09) -0.97 (-2.50, 0.56) -1.29 (-3.11, 0.52)
MEHP
Female - - - - -0.05 (-3.16, 3.06)
Male - - - - -2.95 (-5.08, -0.82)
MECPP
Female 0.30 (-0.07, 0.67) 2.02 (-1.24, 5.29) 2.73 (-0.87, 6.35)
Male -0.25 (-0.51, 0.01) -2.13 (-4.22, -0.04) -2.24 (-4.72, 0.24)
MEHHP
Female 0.32 (-0.03, 0.67) 2.22 (-0.83, 5.28) 3.06 (-0.30, 6.44)
Male -0.23 (-0.48, 0.01) -2.02 (-4.02, -0.03) -1.98 (-4.35, 0.40)
MEOHP
Female 0.24 (-0.10, 0.60) 1.80 (-1.27, 4.87) 2.61 (-0.77, 6.01)
Male -0.26 (-0.51, -0.005) -2.13 (-4.16, -0.10) -2.09 (-4.51, 0.33)

N=100 females, 94 males.

Metabolites are SG-corrected and ln-transformed.

In our sensitivity analyses, results did not differ with the exclusion of preterm births or additional adjustment for mother's smoking history. When we excluded children who had initiated puberty, prenatal MBzP was no longer significantly associated with BMI z-score in our regression analyses (results not shown) and sex-stratified analyses with child exposure measures show significant results only between BPA exposure and sum of skinfolds in girls, and MEHP exposure and sum of skinfolds in boys (Supplementary Table 1).

Discussion

In this prospective cohort in Mexico City, we found that higher concentrations of child urinary MEHP was inversely associated with child's waist circumference and sum of skinfold thicknesses in children aged 8-14. We observed effect modification by sex with BPA, MEP, and individual metabolites from the high molecular weight phthalates in the child exposure period. Sex-stratified analyses found increased exposure to urinary concentrations of BPA to be positively associated with sum of skinfold thickness in girls, while exposures to MEHP, MEHHP, MECPP, and MEOHP were inversely related to BMI z-score, waist circumference, and sum of skinfold thicknesses in boys. When we restricted our analyses to children who had not yet begun the pubertal transition, our results showed the positive relationships between BPA in girls and MEHP in boys, with sum of skinfold thicknesses. From the prenatal exposure period, we had observed an inverse relationship between MBzP and child's BMI z-score, but this finding did not persist when we restricted our analyses to children who had not initiated puberty. We did not observe any associations between the sum of DEHP metabolites or sum of HMW or LMW metabolites with any child outcome.

Our cross-sectional findings of BPA are in agreement with findings from a cross-sectional NHANES study of children aged 6-19 years old who showed increased urinary BPA concentrations to be positively associated with BMI z-score,26 as well as the CHAMACOS cohort in the US, where Harley et al. (2013) observed increased BMI z-scores, waist circumference, and body fat percentage in children with higher BPA concentrations at 9 years of age.58 In the NHANES study, the majority of the children would likely have begun the pubertal transition, and 43% of girls and 15% of boys at 9 years old had entered puberty in the CHAMACOS population. Therefore, Harley et al. suggested that these positive cross-sectional associations between BPA and BMI z-score are only observed in older children. However, our results persisted whether we included or excluded children who had entered puberty. In a study population with younger children, cross-sectional child urinary concentrations of BPA were associated with BMI z-score, waist circumference, and sum of skinfold thicknesses at 4 years of age in one study from Greece,60 but not in a study of US children aged 2-5 years.41 Unlike studies reporting relationships between prenatal BPA exposure and child anthropometric outcomes,40,57,58 we did not observe any associations, which is consistent with a study by Braun et al. (2014)41 in the US and Vafeiadi et al. (2016)31 with the Rhea cohort.

We did not observe any relationships between prenatal urinary phthalate concentrations and child outcomes after excluding children who had initiated puberty, consistent with findings from a New York City cohort, where no associations with fat mass in children aged 4-9 years were observed.28 However, other studies report mixed findings, depending on age, sex, and phthalates metabolite.29,32,56,60,61 Prenatal exposure to MEP was associated with decreased BMI z-scores only in girls 4-7 years old in one US cohort,29 while ΣHMW prenatal phthalates were associated with lower BMI z-scores only in boys age 4 and 7 in the INMA-Sabadell cohort.32 In contrast, prenatal exposure to non-DEHP metabolites was negatively associated with BMI z-score, waist circumference, and fat mass in boys aged 5 and 7 years old in the US.56

Our cross-sectional findings with phthalates metabolites showed increased child MEHP urinary concentration to be negatively associated with waist circumference and sum of skinfold thicknesses. This relationship was modified by sex and the association with sum of skinfold thicknesses was observed only in boys and is not consistent with other studies: Deierlein et al., observed an association between MEHP exposure at ages 6-8 years with a predicted decrease in BMI from the ages of 7-13 only in girls,60 a cross-sectional study of children aged 6-8 years using NHANES found an inverse relationship between MEHP and BMI in girls and no association with boys,62 and, in a Chinese study, MEHP exposure was negatively associated with obesity in girls <10 years old.16

We observed sex-specific associations between BPA and MEHP exposures and sum of skinfold thicknesses in the child exposure period, but found no relationships between prenatal exposures and child outcomes. Sex differences have been observed in other epidemiological studies, as well as animal studies, and are likely due to the endocrine-disrupting mechanisms of BPA and phthalate metabolites.6365 BPA is known to alter binding to estrogen receptors, promote differentiation of, and lipid accumulation in, adipocytes, and inhibit adiponectin release, which may increase risk of hypertension, dyslipidemia, and diabetes by increasing muscle and liver catabolism of fatty acids and glucose.6668 Phthalates are anti-androgenic, can potentially alter thyroid levels, which are important for maintaining metabolism and energy balance, and can, like BPA, activate the peroxisome proliferator-activated receptor (PPAR) family of nuclear receptors, a family of lipid-sensors that are involved in energy homeostasis and can redirect metabolism when activated, through adipogenesis, lipogenesis, and insulin sensitivity.69,70 Given the evidence that phthalates have anti-androgenic effects, we expected that our association between MEHP and sum of skinfold thickness in boys would have been a positive association rather than an inverse association; nonetheless, similar to the assertion by Maresca et al. (2016),56 these results still support evidence that phthalates can disrupt metabolism.

Limitations of our study include the use of a single spot-urine during pregnancy and in childhood. As previously reported, metabolite concentrations in the prenatal and child exposure periods are similar to those described in other studies.12 BPA and phthalates have short metabolite half-lives, with <5-6 hours for BPA and <24 hours for phthalates.71,72 These metabolites are subject to temporal variability and a single spot-urine sample may not be capable of capturing accurate individual levels, but previous studies have shown that a single measure may be a relatively good measure of exposure due to the consistency of behaviors and similar assumptions about the validity of a single urine measurement have been made in other studies.7375 Various methods for correcting variations in urinary dilutions, such as adjusting or correcting for urinary creatinine levels or specific gravity in regression models, are currently used. We chose to control for urinary dilution by correcting for specific gravity, not creatinine, because it has been shown to be a better marker in children; unlike specific gravity, creatinine can be influenced by age and seasonality, as well as muscle mass, race, and sex.76,77 Recently, it has been suggested that how urinary dilution is adjusted, such as standardization, covariate adjustment, or covariate-adjusted standardization, may influence the interpretation of results.78

We did not include dietary data, physical activity, and consumer product use as potential confounders and therefore residual confounding may exist. BPA and phthalates exposures are thought to occur primarily through ingestion and dermal absorption, as these compounds are found in common consumer goods such as food containers, toys, and personal care products.8,11,12 It is possible that individuals with higher canned and/or packaged food intake would have higher urinary concentrations. Heavier individuals may also have higher urinary concentrations due to increased dietary intake and product use, which may influence our cross-sectional results.

Our study population was not large, which limited the interpretation of our findings. Some studies have observed that endocrine-disrupting compounds have a non-monotonic relationship with health outcomes,18,26 but our sample size limited investigation of nonlinear associations. Available toxicant measures and sample size also limit our ability to account for residual confounding by other perinatal or childhood exposures or to consider mixtures of endocrine disrupting chemicals in the genesis of adiposity outcomes. We utilized the WHO growth standard to calculate BMI z-scores, which could have implications for direct comparisons with studies conducted in the United States that rely on CDC reference growth curves. Nevertheless, this measure would permit comparisons with studies conducted in Europe, Latin America, and other worldwide settings. We also had very limited information on pre-pregnancy BMI due to availability of self-reported weight and the timing of recruitment in our original birth cohorts; we therefore had to rely on maternal BMI at one month postpartum as a covariate. We also did not control for multiple comparisons as this analysis was exploratory, which increases the likelihood of false significant findings. However, strengths of our study include its prospective design and length of follow-up, which allowed us to assess child outcomes at ages later than those currently reported in the literature. We also had information on pubertal status, allowing us to explore whether associations are influenced in this time of transition. Associations between metabolite exposure and outcomes may change as children enter the ages of the pubertal transition and hormonal fluctuations, as well as changes in dietary, physical activity, and habits around consumer product use changes requires further studies.

Conclusions

We found higher concentrations of the phthalate metabolite MEHP was associated with a decrease in sum of skinfold thickness in boys aged 8-14 while BPA exposure was associated with an increase in BMI z-score in girls among children who had not entered puberty. In contrast, we did not find any relationships between prenatal exposures to BPA or phthalate metabolites after excluding children who had entered the pubertal transition. Our findings suggest associations depend on timing of exposure, as well as sex and pubertal status. Further follow-up in and other studies are needed to increase our understanding of how timing of exposures influences adiposity in different periods of development.

Supplementary Material

Supplemental Table 1

Associations between p-sex interaction identified ln-transformed SG-corrected child urinary metabolites with BMI z-score, waist circumference, and sum of skinfolds identified from and restricted to children who have not initiated puberty.

Acknowledgments

Funding Source: All phases of this study were supported by National Institutes of Environmental Health Sciences and U.S. Environmental Protection Agency funded UMSPH Formative Children's Environmental Health and Disease Prevention Research Center (P20 ES018171/RD834800PI: Peterson), Lifecourse Exposures and Diet: Epigenetics, Maturation, and Metabolic Syndrome (P01ES022844-01/RD-83543601) and Lifestage Exposures and Adult Disease (P30 ES017885). Funding sources did not have any involvement in study design, analyses, and manuscript preparation. The research protocols were approved by the Ethics and Research Committees of the National Institute of Public Health in Mexico, and the University of Michigan School of Public Health.

Abbreviations

BMI

Body mass index

BPA

Bisphenol A

CI

Confidence Interval

DEHP

Di(2-ethylhexyl) phthalate

EDC

Endocrine-disrupting compound

HMW

high molecular weight

LMW

low molecular weight

MBP

Mono-n-butyl phthalate

MBzP

Monobenzyl phthalate

MCPP

Mono(3-carboxypropyl) phthalate

MECPP

Mono(2-ethyl-5-carboxypentyl) phthalate

MEHP

Mono(2-ethyl-5-oxohexyl) phthalate

MEHHP

Mono(2-ethyl-5-hydroxyhexyl) phthalate

MEOHP

Mono(20ethyl-5-oxohexyl) phthalate

MEP

Monoethyl phthalate

MiBP

Mono-isobutyl phthalate

NHANES

National Health and Nutrition Examination Survey

SD

Standard Deviation

TSF

triceps skinfolds

References

  • 1.Guo SS, Roche AF, Chumlea WC, Gardner JD, Siervogel RM. The predictive value of childhood body mass index values for overweight at age 35 y. Am J Clin Nutr. 1994;59(4):810–819. doi: 10.1093/ajcn/59.4.810. [DOI] [PubMed] [Google Scholar]
  • 2.Mangner N, Scheuermann K, Winzer E, et al. Childhood Obesity: Impact on Cardiac Geometry and Function. JACC Cardiovasc Imaging. 2014 doi: 10.1016/j.jcmg.2014.08.006. [DOI] [PubMed] [Google Scholar]
  • 3.Ebbeling CB, Pawlak DB, Ludwig DS. Childhood obesity: Public-health crisis, common sense cure. Lancet. 2002;360(9331):473–482. doi: 10.1016/S0140-6736(02)09678-2. [DOI] [PubMed] [Google Scholar]
  • 4.Baillie-Hamilton PF. Chemical toxins: a hypothesis to explain the global obesity epidemic. J Altern Complement Med. 2002;8(2):185–192. doi: 10.1089/107555302317371479. [DOI] [PubMed] [Google Scholar]
  • 5.Grün F, Blumberg B. Endocrine disrupters as obesogens. Mol Cell Endocrinol. 2009;304(1-2):19–29. doi: 10.1016/j.mce.2009.02.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Silva MJ, Barr DB, Reidy JA, et al. Urinary levels of seven phthalate metabolites in the U.S. population from the National Health and Nutrition Examination Survey (NHANES) 1999-2000. Environ Health Perspect. 2004;112(3):331–338. doi: 10.1289/ehp.6723. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Callan AC, Hinwood AL, Heffernan A, Eaglesham G, Mueller J, Odland JØ. Urinary bisphenol A concentrations in pregnant women. Int J Hyg Environ Health. 2012:2–5. doi: 10.1016/j.ijheh.2012.10.002. [DOI] [PubMed] [Google Scholar]
  • 8.Vandenberg LN, Hauser R, Marcus M, Olea N, Welshons WV. Human exposure to bisphenol A (BPA) Reprod Toxicol. 2007;24(2):139–177. doi: 10.1016/j.reprotox.2007.07.010. [DOI] [PubMed] [Google Scholar]
  • 9.Mendum T, Stoler E, VanBenschoten H, Warner JC. Concentration of bisphenol A in thermal paper. Green Chem Lett Rev. 2011;4(1):81–86. doi: 10.1080/17518253.2010.502908. [DOI] [Google Scholar]
  • 10.Braun JM, Sathyanarayana S, Hauser R. Phthalate exposure and children's health. Curr Opin Pediatr. 2013;25(2):247–254. doi: 10.1097/MOP.0b013e32835e1eb6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Meeker JD, Sathyanarayana S, Swan SH. Phthalates and other additives in plastics: human exposure and associated health outcomes. Philos Trans R Soc Lond B Biol Sci. 2009;364(1526):2097–2113. doi: 10.1098/rstb.2008.0268. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Lewis RC, Meeker JD, Peterson KE, et al. Predictors of urinary bisphenol A and phthalate metabolite concentrations in Mexican children. Chemosphere. 2013;93(10):2390–2398. doi: 10.1016/j.chemosphere.2013.08.038. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Hauser R, Calafat AM. Phthalates and human health. Occup Environ Med. 2005;62(11):806–818. doi: 10.1136/oem.2004.017590. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Chou WC, Chen JL, Lin CF, Chen YC, Shih FC, Chuang CY. 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. Environ Health. 2011;10(1):94. doi: 10.1186/1476-069X-10-94. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Yaghjyan L, Sites S, Ruan Y, Chang SH. Associations of Urinary Phthalates with Body Mass Index, Waist Circumference, and Serum Lipids Among Females: National Health and Nutrition Examination Survey 1999-2004. Int J Obes. 2015;(August 2014):1–23. doi: 10.1038/ijo.2015.8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Zhang Y, Meng X, Chen L, et al. Age and Sex-Specific Relationships between Phthalate Exposures and Obesity in Chinese Children at Puberty. PLoS One. 2014;9(8):e104852. doi: 10.1371/journal.pone.0104852. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Wang HX, Zhou Y, Tang CX, Wu JG, Chen Y, Jiang QW. Association between bisphenol a exposure and body mass index in Chinese school children: a cross-sectional study. Environ Health. 2012;11(1):79. doi: 10.1186/1476-069X-11-79. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Eng DS, Gebremariam A, Meeker JD, Peterson K, Padmanabhan V, Lee JM. Bisphenol A and Chronic Disease Risk Factors in US Children. Pediatrics. 2013;132(3):e637–45. doi: 10.1542/peds.2013-0106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Shankar A, Teppala S, Sabanayagam C. Urinary bisphenol a levels and measures of obesity: results from the national health and nutrition examination survey 2003-2008. ISRN Endocrinol. 2012;2012:965243. doi: 10.5402/2012/965243. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Carwile JL, Michels KB. Urinary bisphenol A and obesity: NHANES 2003-2006. Environ Res. 2011;111(6):825–830. doi: 10.1016/j.envres.2011.05.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Hatch EE, Nelson JW, Stahlhut RW, Webster TF. Association of endocrine disruptors and obesity: perspectives from epidemiological studies. Int J Androl. 2010;33(2):324–332. doi: 10.1111/j.1365-2605.2009.01035.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Trasande L, Spanier AJ, Sathyanarayana S, Attina TM, Blustein J. Urinary phthalates and increased insulin resistance in adolescents. Pediatrics. 2013;132(3):e646–55. doi: 10.1542/peds.2012-4022. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Trasande L, Sathyanarayana S, Spanier AJ, Trachtman H, Attina TM, Urbina EM. Urinary Phthalates Are Associated with Higher Blood Pressure in Childhood. J Pediatr. 2013:1–8. doi: 10.1016/j.jpeds.2013.03.072. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Wells EM, Jackson LW, Koontz MB. Association between bisphenol A and waist-to-height ratio among children: National Health and Nutrition Examination Survey, 2003-2010. Ann Epidemiol. 2013:6–8. doi: 10.1016/j.annepidem.2013.06.002. [DOI] [PubMed] [Google Scholar]
  • 25.Bhandari R, Xiao J, Shankar A. Urinary Bisphenol A and Obesity in US Children. Am J Epidemiol. 2013;(18):1–8. doi: 10.1093/aje/kws391. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Trasande L, Attina TM, Blustein J. Association between urinary bisphenol A concentration and obesity prevalence in children and adolescents. JAMA. 2012;308(11):1113–1121. doi: 10.1001/2012.jama.11461. [DOI] [PubMed] [Google Scholar]
  • 27.Li DK, Miao M, Zhou Z, et al. Urine Bisphenol-A Level in Relation to Obesity and Overweight in School-Age Children. Votruba SB, ed. PLoS One. 2013;8(6):e65399. doi: 10.1371/journal.pone.0065399. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Buckley JP, Engel SM, Mendez MA, et al. Prenatal phthalate exposures and childhood fat mass in a New York city cohort. Environ Health Perspect. 2016;124(4):507–513. doi: 10.1289/ehp.1509788. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Buckley JP, Engel SM, Braun JM, et al. Prenatal phthalate exposures and body mass index among 4 to 7 year old children: A pooled analysis. Epidemiology. 2016 doi: 10.1097/EDE.0000000000000436. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Liu Y, Peterson KE. Maternal Exposure to Synthetic Chemicals and Obesity in the Offspring: Recent Findings. Curr Environ Heal Reports. 2015;2(4):339–347. doi: 10.1007/s40572-015-0068-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Vafeiadi M, Roumeliotaki T, Myridaki A, et al. Assoication of early life exposure to bisphenol A with obesity and cardiometabolic traits in childhood. Environ Res. 2016;146:379–387. doi: 10.106/j.envres.2016.01.017. [DOI] [PubMed] [Google Scholar]
  • 32.Valvi D, Casas M, Romaguera D, et al. Prenatal phthalate exposure and childhood growth and blood pressure: Evidence from the spanish inma-sabadell birth cohort study. Environ Health Perspect. 2015;123(10):1022–1029. doi: 10.1289/ehp.1408887. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Meeker JD, Calafat AM, Hauser R. Di(2-ethylhexyl) phthalate metabolites may alter thyroid hormone levels in men. Environ Health Perspect. 2007;115(7):1029–1034. doi: 10.1289/ehp.9852. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.De Coster S, van Larebeke N. Endocrine-disrupting chemicals: associated disorders and mechanisms of action. J Environ Public Health. 2012;2012:713696. doi: 10.1155/2012/713696. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Dietz WH. Critical periods in childhood for the development of obesity. Am J Clin Nutr. 1994;59(5):955–959. doi: 10.1093/ajcn/59.5.955. [DOI] [PubMed] [Google Scholar]
  • 36.Gluckman PD, Hanson MA, Beedle AS. Early life events and their consequences for later disease: a life history and evolutionary perspective. Am J Hum Biol. 2007;19(1):1–19. doi: 10.1002/ajhb.20590. [DOI] [PubMed] [Google Scholar]
  • 37.Angle BM, Do RP, Ponzi D, et al. Metabolic disruption in male mice due to fetal exposure to low but not high doses of bisphenol A (BPA): Evidence for effects on body weight, food intake, adipocytes, leptin, adiponectin, insulin and glucose regulation. Reprod Toxicol. 2013:1–13. doi: 10.1016/j.reprotox.2013.07.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Xu X, Tan L, Himi T, et al. Changed preference for sweet taste in adulthood induced by perinatal exposure to bisphenol A-A probable link to overweight and obesity. Neurotoxicol Teratol. 2011;33(4):458–463. doi: 10.1016/j.ntt.2011.06.002. [DOI] [PubMed] [Google Scholar]
  • 39.Wei J, Lin Y, Li Y, et al. Perinatal exposure to bisphenol A at reference dose predisposes offspring to metabolic syndrome in adult rats on a high-fat diet. Endocrinology. 2011;152(8):3049–3061. doi: 10.1210/en.2011-0045. [DOI] [PubMed] [Google Scholar]
  • 40.Valvi D, Casas M, Mendez Ma, et al. Prenatal bisphenol a urine concentrations and early rapid growth and overweight risk in the offspring. Epidemiology. 2013;24(6):791–799. doi: 10.1097/EDE.0b013e3182a67822. [DOI] [PubMed] [Google Scholar]
  • 41.Braun JM, Lanphear BP, Calafat AM, et al. Early-life bisphenol a exposure and child body mass index: a prospective cohort study. Environ Health Perspect. 2014;122(11):1239–1245. doi: 10.1289/ehp.1408258. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Gonzalez-Cossio T, Peterson KE, Sanin LH, et al. Decrease in Birth Weight in Relation to Maternal Bone-Lead Burden. Pediatrics. 1997;100(5):856–862. doi: 10.1542/peds.100.5.856. [DOI] [PubMed] [Google Scholar]
  • 43.Téllez-Rojo MM, Hernández-Avila M, Lamadrid-Figueroa H, et al. Impact of bone lead and bone resorption on plasma and whole blood lead levels during pregnancy. Am J Epidemiol. 2004;160(7):668–678. doi: 10.1093/aje/kwh271. [DOI] [PubMed] [Google Scholar]
  • 44.Ettinger AS, Lamadrid-Figueroa H, Téllez-Rojo MM, et al. Effect of calcium supplementation on blood lead levels in pregnancy: a randomized placebo-controlled trial. Environ Health Perspect. 2009;117(1):26–31. doi: 10.1289/ehp.11868. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Téllez-Rojo MM, Hernández-Avila M, González-Cossío T, et al. Impact of breastfeeding on the mobilization of lead from bone. Am J Epidemiol. 2002;155(5):420–428. doi: 10.1093/aje/155.5.420. [DOI] [PubMed] [Google Scholar]
  • 46.Hernandez-Avila M, Gonzalez-Cossio T, Hernandez-Avila JE, et al. Dietary calcium supplements to lower blood lead levels in lactating women: a randomized placebo-controlled trial. Epidemiology. 2003;14(2):206–212. doi: 10.1097/01.EDE.0000038520.66094.34. [DOI] [PubMed] [Google Scholar]
  • 47.Téllez-Rojo HuH, Bellinger MMD, et al. Fetal Lead Exposure at Each Stage of Pregnancy as a Predictor of Infant Mental Development. Environ Health Perspect. 2006;(11):1730–1735. doi: 10.1289/ehp.9067. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Calafat AM, Ye X, Wong LY, Reidy Ja, Needham LL. Exposure of the U.S. population to bisphenol A and 4-tertiary-octylphenol: 2003-2004. Environ Health Perspect. 2008;116(1):39–44. doi: 10.1289/ehp.10753. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Silva MJ, Samandar E, Preau JL, Reidy JA, Needham LL, Calafat AM. Quantification of 22 phthalate metabolites in human urine. J Chromatogr B Analyt Technol Biomed Life Sci. 2007;860(1):106–112. doi: 10.1016/j.jchromb.2007.10.023. [DOI] [PubMed] [Google Scholar]
  • 50.Wolff MS, Teitelbaum SL, Pinney SM, et al. Investigation of relationships between urinary biomarkers of phytoestrogens, phthalates, and phenols and pubertal stages in girls. Environ Health Perspect. 2010;118(7):1039–1046. doi: 10.1289/ehp.0901690. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Mahalingaiah S, Meeker JD, Pearson KR, et al. Temporal variability and predictors of urinary bisphenol A concentrations in men and women. Environ Health Perspect. 2008;116:173–178. doi: 10.1289/ehp.10605. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Lohman TG, Roche AF, Martorell R. Anthropometric Standardization Reference Manual. Champaign, IL: Human Kinetics Books; 1988. [Google Scholar]
  • 53.de Onis M. Development of a WHO growth reference for school-aged children and adolescents. Bull World Health Organ. 2007;85(9):660–667. doi: 10.2471/BLT.07.043497. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Boeke CE, Oken E, Kleinman KP, Rifas-Shiman SL, Taveras EM, Gillman MW. Correlations among adiposity measures in school-aged children. BMC Pediatr. 2013;13(1):99. doi: 10.1186/1471-2431-13-99. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Schisterman EF, Cole SR, Platt RW. Overadjustment bias and unnecessary adjustment in epidemiologic studies. Epidemiology. 2009;20(4):488–495. doi: 10.1097/EDE.0b013e3181a819a1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Maresca MM, Hoepner LA, Hassoun A, et al. Prenatal exposure to phthalates and childhood body size in an urban cohort. Environ Health Perspect. 2016;124(4):514–520. doi: 10.1289/ehp.1408750. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Hoepner LA, Whyatt RM, Widen EM, et al. Bisphenol A and adiposity in an inner-city birth cohort. Environ Health Perspect. 2016;124(10):1644–1650. doi: 10.1289/EHP205. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Harley KG, Aguilar Schall R, Chevrier J, et al. Prenatal and postnatal bisphenol A exposure and body mass index in childhood in the CHAMACOS cohort. Environ Health Perspect. 2013;121(4):514–520. 520–6. doi: 10.1289/ehp.1205548. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Marshall Wa, Tanner JM. Variations in the Pattern of Pubertal Changes in Boys. Arch Dis Child. 1970;45(239):13–23. doi: 10.1136/adc.45.239.13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Deierlein AL, Wolff MS, Pajak A, et al. Longitudinal Associations of Phthalate Exposures During Childhood and Body Size Measurements in Young Girls. Epidemiology. 2016;27(4):492–499. doi: 10.1097/EDE.0000000000000489. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.de Cock M, de Boer MR, Lamoree M, Legler J, van de Bor M. First Year Growth in Relation to Prenatal Exposure to Endocrine Disruptors - A Dutch Prospective Cohort Study. Int J Environ Res Public Health. 2014;11(7):7001–7021. doi: 10.3390/ijerph110707001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Hatch EE, Nelson JW, Qureshi MM, et al. Association of urinary phthalate metabolite concentrations with body mass index and waist circumference: a cross-sectional study of NHANES data, 1999-2002. Environ Health. 2008;7:27. doi: 10.1186/1476-069X-7-27. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Miyawaki J, Sakayama K, Kato H, Yamamoto H, Masuno H. Perinatal and postnatal exposure to bisphenol a increases adipose tissue mass and serum cholesterol level in mice. J Atheroscler Thromb. 2007;14(5):245–252. doi: 10.5551/jat.e486. [DOI] [PubMed] [Google Scholar]
  • 64.Nadal A, Alonso-Magdalena P, Soriano S, Quesada I, Ropero AB. The pancreatic beta-cell as a target of estrogens and xenoestrogens: Implications for blood glucose homeostasis and diabetes. Mol Cell Endocrinol. 2009;304(1-2):63–68. doi: 10.1016/j.mce.2009.02.016. [DOI] [PubMed] [Google Scholar]
  • 65.Schneider JE, Brozek JM, Keen-Rhinehart E. Our stolen figures: The interface of sexual differentiation, endocrine disruptors, maternal programming, and energy balance. Horm Behav. 2014;66(1):104–119. doi: 10.1016/j.yhbeh.2014.03.011. [DOI] [PubMed] [Google Scholar]
  • 66.Gould JC, Leonard LS, Maness SC, et al. Bisphenol A interacts with the estrogen receptor alpha in a distinct manner from estradiol. Mol Cell Endocrinol. 1998;142(1-2):203–214. doi: 10.1016/s0303-7207(98)00084-7. [DOI] [PubMed] [Google Scholar]
  • 67.Hugo ER, Brandebourg TD, Woo JG, Loftus J, Alexander JW, Ben-Jonathan N. Bisphenol A at environmentally relevant doses inhibits adiponectin release from human adipose tissue explants and adipocytes. Environ Health Perspect. 2008;116(12):1642–1647. doi: 10.1289/ehp.11537. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Boucher JG, Boudreau a, Atlas E. Bisphenol A induces differentiation of human preadipocytes in the absence of glucocorticoid and is inhibited by an estrogen-receptor antagonist. Nutr Diabetes. 2014;4(1):e102. doi: 10.1038/nutd.2013.43. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Meeker JD, Ferguson KK. Relationship between Urinary Phthalate and Bisphenol A Concentrations and Serum Thyroid Measures in U . S . Adults and Adolescents from the National Health and Nutrition Examination Survey ( NHANES ) 2007 – 2008. Environ Health Perspect. 2011;119:1396–1402. doi: 10.1289/ehp.1103582. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Taxvig C, Dreisig K, Boberg J, et al. Differential effects of environmental chemicals and food contaminants on adipogenesis, biomarker release and PPARγ activation. Mol Cell Endocrinol. 2012;361(1-2):106–115. doi: 10.1016/j.mce.2012.03.021. [DOI] [PubMed] [Google Scholar]
  • 71.Koch HM, Bolt HM, Preuss R, Angerer J. New metabolites of di(2-ethylhexyl)phthalate (DEHP) in human urine and serum after single oral doses of deuterium-labelled DEHP. Arch Toxicol. 2005;79(7):367–376. doi: 10.1007/s00204-004-0642-4. [DOI] [PubMed] [Google Scholar]
  • 72.Völkel W, Colnot T, Csanády GA, Filser JG, Dekant W. Metabolism and kinetics of bisphenol a in humans at low doses following oral administration. Chem Res Toxicol. 2002;15(10):1281–1287. doi: 10.1021/tx025548t. [DOI] [PubMed] [Google Scholar]
  • 73.Perrier F, Giorgis-Allemand L, Slama R, Philippat C. Within-subject Pooling of Biological Samples to Reduce Exposure Misclassification in Biomarker-based Studies. Epidemiology. 2016;27(3):378–388. doi: 10.1097/EDE.0000000000000460. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Teitelbaum SL, Britton JA, Calafat aM, et al. Temporal variability in urinary concentrations of phthalate metabolites, phytoestrogens and phenols among minority children in the United States. Environ Res. 2008;106(2):257–269. doi: 10.1016/j.envres.2007.09.010. [DOI] [PubMed] [Google Scholar]
  • 75.Mahalingaiah S, Meeker JD, Pearson KR, et al. Temporal variability and predictors of urinary bisphenol A concentrations in men and women. Environ Health Perspect. 2008;116(2):173–178. doi: 10.1289/ehp.10605. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Pearson MA, Lu C, Schmotzer BJ, Waller LA, Riederer AM. Evaluation of physiological measures for correcting variation in urinary output: Implications for assessing environmental chemical exposure in children. J Expo Sci Environ Epidemiol. 2009;19(3):336–342. doi: 10.1038/jes.2008.48. [DOI] [PubMed] [Google Scholar]
  • 77.Barr DB, Wilder LC, Caudill SP, Gonzalez AJ, Needham LL, Pirkle JL. Urinary Creatinine Concentrations in the U.S. Population: Implications for Urinary Biologic Monitoring Measurements. Environ Health Perspect. 2004;113(2):192–200. doi: 10.1289/ehp.7337. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.O'Brien KM, Upson K, Cook NR, Weinberg CR. Environmental Chemicals in Urine and Blood: Improving Methods for Creatinine and Lipid Adjustment. Environ Health Perspect. 2016;124(2):220–227. doi: 10.1289/ehp.1509693. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplemental Table 1

Associations between p-sex interaction identified ln-transformed SG-corrected child urinary metabolites with BMI z-score, waist circumference, and sum of skinfolds identified from and restricted to children who have not initiated puberty.

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