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Combined Effects of Multiple Per- and Polyfluoroalkyl Substances Exposure on Allostatic Load Using Bayesian Kernel
Tahir Bashir1,2, Emmanuel Obeng-Gyasi1,2
1Department of Built Environment, North Carolina A&T State University, Greensboro, NC 27411, USA.
Combined exposure to certain per- and polyfluoroalkyl substances (PFAS) significantly increases allostatic load, a marker of chronic stress. Understanding these cumulative PFAS effects is crucial for public health and disease prevention strategies.
Area of Science:
- Environmental Health Sciences
- Toxicology
- Public Health
Background:
- Per- and polyfluoroalkyl substances (PFAS) are widespread environmental contaminants.
- Chronic exposure to PFAS is linked to various adverse health outcomes.
- Allostatic load serves as a biomarker for cumulative stress and disease risk.
Purpose of the Study:
- To investigate the combined effects of multiple PFAS on allostatic load.
- To identify specific PFAS and exposure patterns associated with increased allostatic load.
- To inform public health strategies for mitigating PFAS-related health risks.
Main Methods:
- Utilized National Health and Nutrition Examination Survey (NHANES) data (2007-2014).
- Employed Bayesian Kernel Machine Regression (BKMR) to analyze relationships between six PFAS and allostatic load.
- Examined individual and combined PFAS exposure using univariate, bivariate, and multivariate models.
Main Results:
- Combined exposure to PFDE, PFNA, and PFUA showed a significant positive trend with allostatic load (binary model).
- PFDE, PFOS, and PFNA demonstrated a significant positive trend with allostatic load (continuous model).
- Findings highlight the impact of cumulative PFAS exposure on chronic stress markers.
Conclusions:
- Cumulative exposure to specific PFAS is associated with increased allostatic load.
- Public health efforts should consider combined PFAS exposure when assessing health risks.
- Effective strategies are needed to minimize exposure to harmful PFAS chemicals.
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