Correlates of Persistent Endocrine-Disrupting Chemical Mixtures among Reproductive-Aged Black Women.
Samantha SchildrothLauren A WiseAmelia K WesselinkPayton De La CruzTraci N BetheaJennifer WeuveVictoria FruhJulianne C BotelhoAndreas SjodinAntonia M CalafatDonna D BairdBirgit Claus HennPublished in: Environmental science & technology (2021)
Black women are exposed to multiple endocrine-disrupting chemicals (EDCs), but few studies have examined their profiles of exposure to EDC mixtures. We identified biomarker profiles and correlates of exposure to EDC mixtures in a cross-sectional analysis of data from a prospective cohort study of 749 Black women aged 23-35 years. We quantified plasma concentrations of polychlorinated biphenyls (PCBs), polybrominated diphenyl ethers (PBDEs), organochlorine pesticides (OCPs), and per- and polyfluoroalkyl substances (PFAS) in nonfasting samples collected at baseline. Demographic, behavioral, dietary, and reproductive covariates were also collected at baseline. We used k-means clustering and principal component analysis (PCA) to describe concentration profiles of EDC mixtures (17 PCBs, 6 PBDEs, 4 OCPs, 6 PFAS), followed by multinomial logistic and multivariable linear regression to estimate mean differences in PCA scores (β) and odds ratios (ORs) of cluster membership with their respective 95% confidence intervals (CIs). Older age (per 1 year increase: β = 0.47, CI = 0.39, 0.54; OR = 1.27, CI = 1.20, 1.35), lower body mass index (per 1 kg/m2 increase: β = -0.14, CI = -0.17, -0.12; OR = 0.91, CI = 0.89, 0.94), and current smoking (≥10 cigarettes/day vs never smokers: β = 1.37, CI = 0.20, 2.55; OR = 2.63, CI = 1.07, 6.50) were associated with profiles characterized by higher concentrations of all EDCs. Other behaviors and traits, including dietary factors and years since last birth, were also associated with EDC mixtures.
Keyphrases
- ionic liquid
- polycystic ovary syndrome
- smoking cessation
- body mass index
- pregnancy outcomes
- physical activity
- cervical cancer screening
- breast cancer risk
- gene expression
- drinking water
- genome wide
- single cell
- machine learning
- adipose tissue
- middle aged
- mass spectrometry
- tandem mass spectrometry
- simultaneous determination