Determinants of Per- and Polyfluoroalkyl Substances (PFAS) Exposure among Wisconsin Residents.

PFAS determinants epidemiology population-based

Journal

Environmental research
ISSN: 1096-0953
Titre abrégé: Environ Res
Pays: Netherlands
ID NLM: 0147621

Informations de publication

Date de publication:
15 May 2024
Historique:
received: 14 03 2024
revised: 07 05 2024
accepted: 09 05 2024
medline: 18 5 2024
pubmed: 18 5 2024
entrez: 17 5 2024
Statut: aheadofprint

Résumé

Per- and polyfluoroalkyl substances (PFAS) include thousands of manufactured compounds with growing public health concerns due to their potential for widespread human exposure and adverse health outcomes. While PFAS contamination remains a significant concern, especially from ingestion of contaminated food and water, determinants of the variability in PFAS exposure among regional and statewide populations in the United States remains unclear. The objective of this study was to leverage The Survey of the Health of Wisconsin (SHOW), the only statewide representative cohort in the US, to assess and characterize the variability of PFAS exposure in a general population. This study sample included a sub-sample of 605 adult participants from the 2014-2016 tri-annual statewide representative sample. Geometric means for PFOS, PFOA, PFNA, PFHxS, PFPeS, PFHpA, and a summed measure of 38 analyzed serum PFAS were presented by demographic, diet, behavioral, and residential characteristics. Multivariate linear regression was used to determine significant predictors of serum PFAS after adjustment. Overall, higher serum concentrations of long-chain PFAS were observed compared with short-chain PFAS. Older adults, males, and non-Hispanic White individuals had higher serum PFAS compared to younger adults, females, and non-White individuals. Eating caught fish in the past year was associated with elevated levels of several PFAS. This is among the first studies to characterize serum PFAS among a representative statewide sample in Wisconsin. Both short- and long-chain serum PFAS were detectable for six prominent PFAS. Age and consumption of great lakes fish were the most significant predictors of serum PFAS. State-level PFAS biomonitoring is important for identifying high risk populations and informing state public health standards and interventions, especially among those not living near known contamination sites.

Sections du résumé

BACKGROUND BACKGROUND
Per- and polyfluoroalkyl substances (PFAS) include thousands of manufactured compounds with growing public health concerns due to their potential for widespread human exposure and adverse health outcomes. While PFAS contamination remains a significant concern, especially from ingestion of contaminated food and water, determinants of the variability in PFAS exposure among regional and statewide populations in the United States remains unclear.
OBJECTIVES OBJECTIVE
The objective of this study was to leverage The Survey of the Health of Wisconsin (SHOW), the only statewide representative cohort in the US, to assess and characterize the variability of PFAS exposure in a general population.
METHODS METHODS
This study sample included a sub-sample of 605 adult participants from the 2014-2016 tri-annual statewide representative sample. Geometric means for PFOS, PFOA, PFNA, PFHxS, PFPeS, PFHpA, and a summed measure of 38 analyzed serum PFAS were presented by demographic, diet, behavioral, and residential characteristics. Multivariate linear regression was used to determine significant predictors of serum PFAS after adjustment.
RESULTS RESULTS
Overall, higher serum concentrations of long-chain PFAS were observed compared with short-chain PFAS. Older adults, males, and non-Hispanic White individuals had higher serum PFAS compared to younger adults, females, and non-White individuals. Eating caught fish in the past year was associated with elevated levels of several PFAS.
DISCUSSION CONCLUSIONS
This is among the first studies to characterize serum PFAS among a representative statewide sample in Wisconsin. Both short- and long-chain serum PFAS were detectable for six prominent PFAS. Age and consumption of great lakes fish were the most significant predictors of serum PFAS. State-level PFAS biomonitoring is important for identifying high risk populations and informing state public health standards and interventions, especially among those not living near known contamination sites.

Identifiants

pubmed: 38759771
pii: S0013-9351(24)01036-3
doi: 10.1016/j.envres.2024.119131
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

119131

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Déclaration de conflit d'intérêts

Declaration of Competing Interest ☒ The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. ☐ The authors declare the following financial interests/personal relationships which may be considered as potential competing interests:

Auteurs

Rachel Pomazal (R)

University of Wisconsin-Madison, Department of Population Health Sciences, Madison, WI, USA.

Kristen Malecki (K)

Division of Environmental and Occupational Health Sciences, University of Illinois Chicago School of Public Health, Chicago, IL, USA.

Noel Stanton (N)

Wisconsin State Lab of Hygiene, Madison, WI, USA.

Brandon Shelton (B)

Wisconsin State Lab of Hygiene, Madison, WI, USA.

Meshel Lange (M)

Wisconsin State Lab of Hygiene, Madison, WI, USA.

Roy Irving (R)

Wisconsin Department of Health Services Madison, WI, USA.

Jonathan Meiman (J)

Wisconsin Department of Health Services Madison, WI, USA.

Christina K Remucal (CK)

University of Wisconsin-Madison, Department of Civil and Environmental Engineering, Madison, WI, USA.

Amy Cochran (A)

University of Wisconsin-Madison, Department of Population Health Sciences, Madison, WI, USA.

Amy A Schultz (AA)

University of Wisconsin-Madison, Department of Population Health Sciences, Madison, WI, USA. Electronic address: aaschultz4@wisc.edu.

Classifications MeSH