Background:Phenols and phthalates may have immunomodulatory and proinflammatory effects and thereby adversely affect respiratory health.Objective:We estimated the associations between gestational exposure to select phthalates and phenols and respiratory health in boys.Methods:Among 587 pregnant women from the EDEN (Etude des Déterminants pré et post natals du développement et de la santé de l’Enfant) cohort who delivered a boy, 9 phenols and 11 phthalates metabolites were quantified in spot pregnancy urine samples. Respiratory outcomes were followed up by questionnaires until age 5, when forced expiratory volume in 1 s (FEV1) was measured by spirometry. Adjusted associations of urinary metabolites log–transformed concentrations with respiratory outcomes and FEV1 in percent predicted (FEV1%) were estimated by survival and linear regression models, respectively.Results:No phenol or phthalate metabolite exhibited clear deleterious associations simultaneously with several respiratory outcomes. Ethyl-paraben was associated with increased asthma rate [hazard rate (HR)=1.10; 95% confidence interval (CI): 1.00, 1.21] and tended to be negatively associated with FEV1% (beta=−0.59; 95% CI: −1.24, 0.05); bisphenol A tended to be associated with increased rates of asthma diagnosis (HR=1.23; 95% CI: 0.97, 1.55) and bronchiolitis/bronchitis (HR=1.13; 95% CI: 0.99, 1.30). Isolated trends for deleterious associations were also observed between 2,5-dichlorophenol and wheezing, and between monocarboxynonyl phthalate, a metabolite of di-isodecyl phthalate (DIDP), and wheezing.Conclusion:Ethyl-paraben, bisphenol A, 2,5-dichlorophenol, and DIDP tended to be associated with altered respiratory health, with ethyl-paraben and bisphenol A exhibiting some consistency across respiratory outcomes. The trends between bisphenol A pregnancy level and increased asthma and bronchiolitis/bronchitis rates in childhood were consistent with a previous cohort study. https://doi.org/10.1289/EHP1015

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Background: Within-subject biospecimens pooling can theoretically reduce bias in dose-response functions issued from biomarker-based studies when exposure assessment suffers from classicaltype error. However, collecting many urine voids each day is cumbersome. We evaluated the empirical validity of a within-subject pooling approach and compared several options to avoid collecting all daily urine samples. Methods:In 16 pregnant women who collected a spot of each urine void over several nonconsecutive weeks, we compared concentrations of 10 phenols in daily, weekly and pregnancy within-subject pools. Pools were prepared from either three or all daily samples. From a simulation study using these data, we quantified bias in dose-response functions when using one to 20 urine samples per subject to assess methylparaben (a compound with moderate within-subject variability) and bisphenol A (high variability) exposures.Results: Correlations between exposure estimates from pools of all and of only three voids per day were above 0.8 for all time windows and compounds, except for benzophenone-3 and triclosan in the daily time-window (correlations, 0.6-0.7). With one spot sample to assess pregnancy exposure, correlations were all below 0.74. Using one biospecimen led to an attenuation bias in the doseresponse functions of 30% (methylparaben) and 68% (bisphenol A); four and 18 samples, respectively, were required to decrease bias to 10%. Conclusion:For non-persistent chemicals, collecting and pooling three samples per day instead of all daily samples efficiently estimates exposures over a week or more. Collecting around 20 biospecimens can strongly limit attenuation bias for very little persistent chemicals like bisphenol A.

Background:Toxicology studies have shown adverse effects of developmental exposure to industrial phenols. Evaluation in humans is challenged by potentially marked within-subject variability of phenol biomarkers in pregnant women, which is poorly characterized.Objectives:We aimed to characterize within-day, between-day, and between-week variability of phenol urinary biomarker concentrations during pregnancy.Methods:In eight French pregnant women, we collected all urine voids over a 1-wk period (average, 60 samples per week per woman) at three occasions (15±2, 24±2, and 32±1 gestational weeks) in 2012–2013. Aliquots of each day and of the whole week were pooled within-subject. We assayed concentrations of 10 phenols in these pools, and, for two women, in all spot (unpooled) samples collected during a 1-wk period. We characterized variability using intraclass correlation coefficients (ICCs) with spot samples (within-day variability), daily pools (between-day variability), and weekly pools (between-week variability).Results:For most biomarkers, the within-day variability was high (ICCs between 0.03 and 0.50). The between-day variability, based on samples pooled within each day, was much lower, with ICCs >0.60 except for bisphenol S (0.14, 95% confidence interval [CI]: 0.00, 0.39). The between-week variability differed between compounds, with triclosan and bisphenol S having the lowest ICCs (<0.3) and 2,5-dichlorophenol the highest (ICC >0.9).Conclusion:During pregnancy, phenol biomarkers showed a strong within-day variability, while the variability between days of a given week was more limited. One biospecimen is not enough to efficiently characterize exposure; collecting biospecimens during a single week may be enough to represent well the whole pregnancy exposure for some but not all phenols. https://doi.org/10.1289/EHP1994

Background:Contradictory results exist regarding the importance of early-life exposure to phthalates for development of childhood eczema.Objectives:We evaluated the association between maternal urinary concentrations of phthalate metabolites between the 24th and 28th week of gestation and occurrence of eczema in their sons up to 5 y of age, according to allergic sensitization as assessed by total immunoglobulin E (IgE) in a subsample of individuals.Methods:Data on health outcomes and background factors were collected using five standardized annual questionnaires completed by parents at the children’s ages of 1–5 y, and their associations with phthalate metabolite urinary concentrations were assessed in 604 mother–son pairs with adjusted multiple logistic regression and Cox’s survival model. Several eczema phenotypes were considered. Atopic status was assessed at 5 y of age in 293 boys through total IgE assessment.Results:At 5 y of age, the prevalence of ever eczema was 30.4%. Metabolites of di-isobutyl phthalate (DiBP) and di-isononyl phthalate (DiNP) were positively associated with early-onset (0–24 mo of age) eczema (15.7%) and late-onset (24–60 mo of age) eczema (14.7%). Applying the Cox’s model showed a significant association of occurrence of eczema in the first 5 y of life with DiBP and DiNP metabolites. Among IgE-sensitized boys, metabolites of di-n-butyl phthalate (DBP) and DiBP were significantly associated with ever eczema {hazard ratio (HR)=1.67 [95% confidence interval (CI): 1.10, 2.54], p=0.01 and HR=1.87 (95% CI: 1.01, 3.48), p=0.04, respectively}.Conclusions:Occurrence of eczema in early childhood may be influenced by prenatal exposure to certain phthalates in boys. Further investigations are needed to confirm this observation. https://doi.org/10.1289/EHP1829

Research on endocrine disruptors (EDs) developed from numerous disciplines. In this concert of disciplines, epidemiology is central to inform on the relevance for humans of mechanisms and dose-response functions identified in animals, to characterize the health impact (number of attributable disease cases), the cost associated with ED exposure, and the efficiency of the measures taken to limit exposure. Here, we present epidemiological tools to draw valid inference regarding effects of potential EDs. Epidemiology is generally observational, requiring care to control confounding bias. Many potential EDs have a short biological half-life; approaches relying on repeated biospecimens sampling allow limiting exposure misclassification and the resulting bias. For non-persistent compounds, couple-child cohorts are a central study design. Cohorts can now rely on molecular biology approaches to characterize exposures and intermediate pathways, which corresponds to the advent of molecular epidemiology and allows stronger interactions between epidemiology, toxicology, and molecular epidemiology to characterize the health effects of EDs.

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