Assessment of modeled serum per- and polyfluoroalkyl substances concentrations from exposure estimates for pregnant women in the general population in comparison to previously measured serum concentrations
Environmental Research, ISSN: 0013-9351, Vol: 268, Page: 120757
2025
- 1Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Captures1
- Readers1
Article Description
When drinking water is uncontaminated, exposure to PFAS is thought to occur primarily via ingestion of food and indoor dust. To understand the background exposure during prenatal periods, this study examined whether published estimates of PFAS exposure rates from dietary and dust ingestion provide reasonable predictions of PFAS serum concentrations among pregnant women in the general population. This study estimated serum concentrations of four PFAS during pregnancy based on published PFAS intake rates for food and indoor dust reported in the peer-reviewed literature, a pharmacokinetic model using two different sets of parameters, and Monte Carlo simulation to account for variability/uncertainty. Historical dietary ingestion rate was reconstructed using serum PFAS concentrations of pregnant women from NHANES. The estimated serum concentrations for different exposure scenarios were then compared with measured maternal serum levels reported in published studies of populations without known PFAS water contamination. Mother-child dyad models showed no substantial change in serum PFAS concentrations during pregnancy. Lower published estimates of dietary intake and historical reconstruction, resulted in good prediction of maternal serum concentrations for PFOA, PFOS, and PFHxS. Higher published estimates of dietary intake overestimated maternal serum concentrations, especially for PFNA. Although some discrepancies exist among published estimates of indoor dust intake, half-life, and volume of distribution for PFAS, any combination of selected estimates from literature along with lower published dietary intake estimates are sufficient to provide reasonable prediction of maternal serum concentrations at population-level.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0013935125000088; http://dx.doi.org/10.1016/j.envres.2025.120757; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85214337610&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/39756782; https://linkinghub.elsevier.com/retrieve/pii/S0013935125000088
Elsevier BV
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know