Effects of gestational exposures to chemical mixtures on birth weight using Bayesian factor analysis in the Health Outcome and Measures of Environment (HOME) Study

Zhuang, Liheng Harry; Chen, Aimin; Braun, Joseph M.; Lanphear, Bruce P.; Hu, Janice M.Y.; Yolton, Kimberly; McCandless, Lawrence C.

doi:10.1097/ee9.0000000000000159

Cited by 13 publications

(3 citation statements)

References 57 publications

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“…Other traditional methods, such as factor analysis and NMF, have also been employed to address research questions around patterns of environmental exposures. 36 – 38 Additional techniques, such as frequent itemset mining (FIM) or perturbed factor analysis (PFA), have been borrowed from other fields, adapted, or developed for environmental health data. FIM, a data mining technique commonly employed for retail analysis, has been used to isolate chemical combinations (i.e., patterns) based on their prevalence.…”

Section: Discussionmentioning

confidence: 99%

Principal Component Pursuit for Pattern Identification in Environmental Mixtures

Gibson

Zhang

Yan

et al. 2022

Environ Health Perspect

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Background: Environmental health researchers often aim to identify sources or behaviors that give rise to potentially harmful environmental exposures. Objective: We adapted principal component pursuit (PCP)—a robust and well-established technique for dimensionality reduction in computer vision and signal processing—to identify patterns in environmental mixtures. PCP decomposes the exposure mixture into a low-rank matrix containing consistent patterns of exposure across pollutants and a sparse matrix isolating unique or extreme exposure events. Methods: We adapted PCP to accommodate nonnegative data, missing data, and values below a given limit of detection (LOD). We simulated data to represent environmental mixtures of two sizes with increasing proportions and three noise structures. We applied PCP-LOD to evaluate its performance in comparison with principal component analysis (PCA). We next applied principal component pursuit with limit of detection (PCP-LOD) to an exposure mixture of 21 persistent organic pollutants (POPs) measured in 1,000 U.S. adults from the 2001–2002 National Health and Nutrition Examination Survey (NHANES). We applied singular value decomposition to the estimated low-rank matrix to characterize the patterns. Results: PCP-LOD recovered the true number of patterns through cross-validation for all simulations; based on an a priori specified criterion, PCA recovered the true number of patterns in 32% of simulations. PCP-LOD achieved lower relative predictive error than PCA for all simulated data sets with up to 50% of the data . When 75% of values were , PCP-LOD outperformed PCA only when noise was low. In the POP mixture, PCP-LOD identified a rank-three underlying structure and separated 6% of values as extreme events. One pattern represented comprehensive exposure to all POPs. The other patterns grouped chemicals based on known structure and toxicity. Discussion: PCP-LOD serves as a useful tool to express multidimensional exposures as consistent patterns that, if found to be related to adverse health, are amenable to targeted public health messaging. https://doi.org/10.1289/EHP10479

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Section: Discussionmentioning

confidence: 99%

Principal Component Pursuit for Pattern Identification in Environmental Mixtures

Gibson

Zhang

Yan

et al. 2022

Environ Health Perspect

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“…In addition to PFOA and PFOS, other long-chained PFAAs, such as perfluorononanoic acid (PFNA), perfluorodecanoic acid (PFDA), perfluoroundecanoic acid (PFUnDA), and perfluorohexanesulfonic acid (PFHxS), are considered bioaccumulative in humans (Conder et al, 2008;ITRC, 2020). Epidemiological studies have suggested that certain long-chain PFAAs alter lipid levels in children and adolescents , impair the immune system in children , and restrict fetal growth Marks et al, 2019;Zhuang et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Per- and polyfluoroalkyl substances (PFAS) – unravelling exposure sources and demographical exposure patterns in a Swedish adolescent population

Nyström-Kandola

2024

Acta Universitatis Agriculturae Sueciae

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Per- and polyfluoroalkyl acids (PFAS) is a group of anthropogenic substances, with some suspected to cause adverse health effects in humans. Little is known about adolescent exposure to PFAS, thus this thesis focuses on exposure sources and demographical exposure patterns of PFAS in a nationally representative Swedish adolescent (age 10-21 years) population (Riksmaten Adolescents 2016-17). Legacy PFAS, perfluorooctanoic acid (PFOA), perfluorononanoic acid (PFNA), perfluorodecanoic acid (PFDA), perfluoroundecanoic acid (PFUnDA), perfluorohexane sulfonic acid (PFHxS) and perfluorooctane sulfonic acid (PFOS) were detected in serum from 70-100% of the participants (n=1098). Concentrations of PFOA, PFHxS and PFOS in serum increased with increased concentrations in drinking water (DW). Even though median PFAS concentrations in DW were as low as <1 ng/L, DW appeared as an important exposure source. Participants adhering to a diverse and healthy diet had higher PFNA, PFDA, PFUnDA and PFOS concentrations in serum than those that did not. This association was likely driven by a higher seafood consumption as a part of the healthy diet, supporting the notion that diet, apart from DW, is an important exposure source. Serum PFAS levels were on average highest among participants born in countries with high per capita income as compared to those born in low income countries. Conclusively, PFAS are chemicals of the industrialised world, with DW and seafood emerging as important exposure sources for adolescents. The findings of this thesis are important to consider in future risk assessments, as well as in studies of PFAS exposure and adolescent health.

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“…This may be of particular concern during pregnancy, a vulnerable period during which exposure to endocrine disrupting chemicals may have short- and long-term consequences for the fetus [ 8 – 10 ]. Indeed, many studies have demonstrated that gestational PFAS exposure is associated with smaller size at birth and higher BMI in childhood and during adolescence [ 11 – 17 ]. By contrast, impacts of prenatal PFAS exposure on maternal health remain relatively understudied, despite increasing recognition that maternal health in pregnancy predicts future maternal risk of metabolic and cardiovascular disease [ 18 – 20 ].…”

Section: Introductionmentioning

confidence: 99%

Per- and polyfluoroalkyl substances, gestational weight gain, postpartum weight retention and body composition in the UPSIDE cohort

Kinkade,

Rivera-Núñez,

Thurston

et al. 2023

Environ Health

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Background Per- and polyfluoroalkyl substances (PFAS) are synthetic chemicals found in drinking water and consumer products, resulting in ubiquitous human exposure. PFAS have been linked to endocrine disruption and altered weight gain across the lifespan. A limited and inconsistent body of research suggests PFAS may impact gestational weight gain (GWG) and postpartum body mass index (BMI), which are important predictors of overall infant and maternal health, respectively. Methods In the Understanding Pregnancy Signals and Infant Development (UPSIDE/UPSIDE-MOMs) study (n = 243; Rochester, NY), we examined second trimester serum PFAS (PFOS: perfluorooctanesulfonic acid, PFOA: perfluorooctanoic acid, PFNA: perfluorononanoic acid, PFHxS: perfluorohexanesulfonic acid, PFDA: perfluorodecanoic acid) in relation to GWG (kg, and weekly rate of gain) and in the postpartum, weight retention (PPWR (kg) and total body fat percentage (measured by bioelectrical impedance)). We fit multivariable linear regression models examining these outcomes in relation to log-transformed PFAS in the whole cohort as well as stratified by maternal pre-pregnancy BMI (< 25 vs. = > 25 kg/m2), adjusting for demographics and lifestyle factors. We used weighted quantile sum regression to find the combined influence of the 5 PFAS on GWG, PPWR, and body fat percentage. Results PFOA and PFHxS were inversely associated with total GWG (PFOA: ß = -1.54 kg, 95%CI: -2.79, -0.30; rate ß = -0.05 kg/week, 95%CI: -0.09, -0.01; PFHxS: ß = -1.59 kg, 95%CI: -3.39, 0.21; rate ß = -0.05 kg/week, 95%CI: -0.11, 0.01) and PPWR at 6 and 12 months (PFOA 6 months: ß = -2.39 kg, 95%CI: -4.17, -0.61; 12 months: ß = -4.02 kg, 95%CI: -6.58, -1.46; PFHxS 6 months: ß = -2.94 kg, 95%CI: -5.52, -0.35; 12 months: ß = -5.13 kg, 95%CI: -8.34, -1.93). PFOA was additionally associated with lower body fat percentage at 6 and 12 months (ß = -1.75, 95%CI: -3.17, -0.32; ß = -1.64, 95%CI: -3.43, 0.16, respectively) with stronger associations observed in participants with higher pre-pregnancy BMI. The PFAS mixture was inversely associated with weight retention at 12 months (ß = -2.030, 95%CI: -3.486, -0.573) amongst all participants. Conclusion PFAS, in particular PFOA and PFHxS, in pregnancy are associated with altered patterns of GWG and postpartum adiposity with potential implications for fetal development and long-term maternal cardiometabolic health.

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Effects of gestational exposures to chemical mixtures on birth weight using Bayesian factor analysis in the Health Outcome and Measures of Environment (HOME) Study

Abstract: Supplemental Digital Content is available in the text.

Cited by 13 publications

References 57 publications

Principal Component Pursuit for Pattern Identification in Environmental Mixtures

Principal Component Pursuit for Pattern Identification in Environmental Mixtures

Per- and polyfluoroalkyl substances (PFAS) – unravelling exposure sources and demographical exposure patterns in a Swedish adolescent population

Per- and polyfluoroalkyl substances, gestational weight gain, postpartum weight retention and body composition in the UPSIDE cohort

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