# Exposure to per- and polyfluoroalkyl substances and adult cardiometabolic health: a Canadian Health Measures Survey mixture analysis

**Authors:** Janice M. Y. Hu, Michael M. Borghese, Annie St-Amand

PMC · DOI: 10.1186/s12940-026-01271-1 · Environmental Health · 2026-02-11

## TL;DR

This study examines how exposure to a group of chemicals called PFAS may affect heart and metabolic health in Canadian adults.

## Contribution

The study is novel in using a mixture analysis approach to assess the joint effects of PFAS on cardiometabolic health in a nationally representative Canadian sample.

## Key findings

- The PFAS mixture showed no significant association with metabolic syndrome or overall cardiometabolic risk score.
- The PFAS mixture was linked to slightly higher HbA1c levels, particularly in females, with PFNA being the most influential.
- Results suggest PFAS may negatively impact glucose metabolism, but not other cardiometabolic components.

## Abstract

Metabolic syndrome (MetS) is characterized by four cardiometabolic dimensions including central obesity, dyslipidemia, hypertension, and hyperglycemia, which collectively increase the risk of developing cardiovascular disease and type 2 diabetes mellitus. Epidemiological studies suggest that exposure to per- and polyfluoroalkyl substances (PFAS), which are a class of persistent chemicals used for their water and oil repelling properties, may also contribute to poor cardiometabolic health. We examined associations between exposure to mixture of PFAS and cardiometabolic health among a nationally representative sample of adults living in Canada.

We used cross-sectional data from 1071 adults aged 20 to 79 from the Canadian Health Measures Survey cycles 2, 5 and 6 (2009–2011, 2016–2019). We examined plasma concentrations of perfluorooctanoic acid (PFOA), perfluorooctane sulfonate (PFOS), perfluorohexane sulfonate (PFHxS), perfluorononanoic acid (PFNA), and perfluorodecanoic acid (PFDA). We examined MetS, a derived cardiometabolic risk score (CMRS), and their individual cardiometabolic components. We used quantile g-computation (qgcomp) to examine joint associations between the PFAS mixture and cardiometabolic outcomes, and qgcomp weights to determine individual PFAS contributions to the overall mixture effect. Furthermore, we used modified Poisson and linear regression to estimate associations for individual PFAS plasma concentrations and compare with our qgcomp results. Analyses were stratified by sex.

The prevalence of MetS is 27% in adults living in Canada. In qgcomp models, we observed null associations between the PFAS mixture and both MetS (prevalence ratio: 0.90; 95% CI: 0.74, 1.19) and CMRS (regression index: -0.10; 95% CI: -0.32, 0.12). Each one-quartile increase in the PFAS mixture was associated with 1.2% higher glycated hemoglobin (HbA1c) levels among total population and 1.6% among females, with PFNA contributing most to the joint associations. The PFAS mixture showed null associations with other MetS components. Results from our linear regression models corroborated the findings from the mixture analysis with directions consistent with the qgcomp effect estimates and weights.

Using cross-sectional data from a nationally representative sample of adults living in Canada, our findings suggest that a mixture of PFAS may adversely affect glucose metabolism. Further prospective studies are needed to corroborate these findings and establish temporality.

The online version contains supplementary material available at 10.1186/s12940-026-01271-1.

## Linked entities

- **Chemicals:** perfluorooctanoic acid (PubChem CID 9554), perfluorooctane sulfonate (PubChem CID 74483), perfluorohexane sulfonate (PubChem CID 67734), perfluorononanoic acid (PubChem CID 67821), perfluorodecanoic acid (PubChem CID 9555)
- **Diseases:** metabolic syndrome (MONDO:0000816), cardiovascular disease (MONDO:0004995), type 2 diabetes mellitus (MONDO:0005148)

## Full-text entities

- **Chemicals:** per- and polyfluoroalkyl substances (MESH:D005466)

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12998208/full.md

## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12998208/full.md

## References

9 references — full list in the complete paper: https://tomesphere.com/paper/PMC12998208/full.md

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Source: https://tomesphere.com/paper/PMC12998208