Prenatal exposure to endocrine disrupting chemical mixtures and infant birth weight: A Bayesian analysis using kernel machine regression

2021 ◽  
Vol 195 ◽  
pp. 110749
Author(s):  
Janice M.Y. Hu ◽  
Tye E. Arbuckle ◽  
Patricia Janssen ◽  
Bruce P. Lanphear ◽  
Liheng H. Zhuang ◽  
...  
PLoS ONE ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. e0249236
Author(s):  
Lauren Hoskovec ◽  
Wande Benka-Coker ◽  
Rachel Severson ◽  
Sheryl Magzamen ◽  
Ander Wilson

Challenges arise in researching health effects associated with chemical mixtures. Several methods have recently been proposed for estimating the association between health outcomes and exposure to chemical mixtures, but a formal simulation study comparing broad-ranging methods is lacking. We select five recently developed methods and evaluate their performance in estimating the exposure-response function, identifying active mixture components, and identifying interactions in a simulation study. Bayesian kernel machine regression (BKMR) and nonparametric Bayes shrinkage (NPB) were top-performing methods in our simulation study. BKMR and NPB outperformed other contemporary methods and traditional linear models in estimating the exposure-response function and identifying active mixture components. BKMR and NPB produced similar results in a data analysis of the effects of multipollutant exposure on lung function in children with asthma.


Chemosphere ◽  
2014 ◽  
Vol 110 ◽  
pp. 1-7 ◽  
Author(s):  
Huan Guo ◽  
Yinlong Jin ◽  
Yibin Cheng ◽  
Brian Leaderer ◽  
Shaobin Lin ◽  
...  

Author(s):  
Samantha Schildroth ◽  
Lauren A. Wise ◽  
Amelia K. Wesselink ◽  
Payton De La Cruz ◽  
Traci N. Bethea ◽  
...  

2011 ◽  
Vol 174 (8) ◽  
pp. 885-892 ◽  
Author(s):  
K. G. Harley ◽  
J. Chevrier ◽  
R. A. Schall ◽  
A. Sjodin ◽  
A. Bradman ◽  
...  

2018 ◽  
Vol 2018 (1) ◽  
Author(s):  
Ghassan Hamra ◽  
Kristen Lyall ◽  
Gayle Windham ◽  
Antonia Calafat ◽  
Andreas Sjodin ◽  
...  

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Caitlin G. Howe ◽  
Katerina Margetaki ◽  
Marina Vafeiadi ◽  
Theano Roumeliotaki ◽  
Marianna Karachaliou ◽  
...  

Abstract Background Child blood pressure (BP) is predictive of future cardiovascular risk. Prenatal exposure to metals has been associated with higher BP in childhood, but most studies have evaluated elements individually and measured BP at a single time point. We investigated impacts of prenatal metal mixture exposures on longitudinal changes in BP during childhood and elevated BP at 11 years of age. Methods The current study included 176 mother-child pairs from the Rhea Study in Heraklion, Greece and focused on eight elements (antimony, arsenic, cadmium, cobalt, lead, magnesium, molybdenum, selenium) measured in maternal urine samples collected during pregnancy (median gestational age at collection: 12 weeks). BP was measured at approximately 4, 6, and 11 years of age. Covariate-adjusted Bayesian Varying Coefficient Kernel Machine Regression and Bayesian Kernel Machine Regression (BKMR) were used to evaluate metal mixture impacts on baseline and longitudinal changes in BP (from ages 4 to 11) and the development of elevated BP at age 11, respectively. BKMR results were compared using static versus percentile-based cutoffs to define elevated BP. Results Molybdenum and lead were the mixture components most consistently associated with BP. J-shaped relationships were observed between molybdenum and both systolic and diastolic BP at age 4. Similar associations were identified for both molybdenum and lead in relation to elevated BP at age 11. For molybdenum concentrations above the inflection points (~ 40–80 μg/L), positive associations with BP at age 4 were stronger at high levels of lead. Lead was positively associated with BP measures at age 4, but only at high levels of molybdenum. Potential interactions between molybdenum and lead were also identified for BP at age 11, but were sensitive to the cutoffs used to define elevated BP. Conclusions Prenatal exposure to high levels of molybdenum and lead, particularly in combination, may contribute to higher BP at age 4. These early effects appear to persist throughout childhood, contributing to elevated BP in adolescence. Future studies are needed to identify the major sources of molybdenum and lead in this population.


2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
S. Schildroth ◽  
L.A. Wise ◽  
A. Wesselink ◽  
J. Weuve ◽  
V. Fruh ◽  
...  

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