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. 2020 Apr:137:105573.
doi: 10.1016/j.envint.2020.105573. Epub 2020 Feb 20.

Per- and polyfluoroalkyl substances and blood pressure in pre-diabetic adults-cross-sectional and longitudinal analyses of the diabetes prevention program outcomes study

Affiliations

Per- and polyfluoroalkyl substances and blood pressure in pre-diabetic adults-cross-sectional and longitudinal analyses of the diabetes prevention program outcomes study

Pi-I D Lin et al. Environ Int. 2020 Apr.

Abstract

The relationship of plasma concentration of per- and polyfluoroalkyl substances (PFAS) with blood pressure (BP) is uncertain. This study examined cross-sectional and prospective associations of PFAS with BP and hypertension. We quantified plasma PFAS concentrations from 957 participants enrolled in the lifestyle and placebo arms of the Diabetes Prevention Program (DPP), a randomized controlled trial with approximately 15 years of follow-up. We used multivariable linear and logistic regressions to test cross-sectional associations of six PFAS, including perfluorooctanesulfonic acid (PFOS), perfluorooctanoic acid (PFOA), perfluorohexane sulfonic acid (PFHxS), N-ethyl-perfluorooctane sulfonamido acetic acid (EtFOSAA), N-methyl-perfluorooctane sulfonamido acetic acid (MeFOSAA), and perfluorononanoic acid (PFNA), with BP and hypertension prevalence, respectively, at baseline. We used generalized linear mixed models to estimate longitudinal associations between baseline PFAS and the rate of BP changes, and Cox-Proportional hazard models to estimate risk of developing hypertension relative to baseline PFAS. Models were adjusted for baseline age, sex, race/ethnicity, treatment arm, educational attainment, income, marital status, smoking habit, alcohol drinking, and diet. We tested for effect modification by the treatment arm and sex, and accounted for multiple comparisons using the False-Discovery Rate (FDR). PFAS concentrations and hypertension prevalence within the study population (65.3% female, 57.7% White, 65.3% aged 40-59 years) were comparable to the general U.S. population. Cross-sectionally, we found small but statistically significant associations of baseline plasma concentrations of PFOA with systolic BP (β per doubling: 1.49 mmHg, 95% CI: 0.29, 2.70); and MeFOSAA with hypertension (RR = 1.09 per doubling, 95% CI: 1.01, 1.19). Estimates were not statistically significant after FDR adjustment. Longitudinally, we observed null associations in the placebo arm, but some inverse associations of baseline PFOS and MeFOSAA with systolic BP in the lifestyle arm, perhaps due to regression toward the mean. Baseline PFAS concentrations also were not prospectively associated with hypertension risk. Overall, there were modest and mostly null associations of plasma PFAS concentrations with BP and hypertension.

Keywords: Blood pressure; Diabetes Prevention Program; Hypertension; Longitudinal study; Per- and polyfluoroalkyl substances; Prediabetic adults.

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Conflict of interest statement

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.

Figures

Figure 1.
Figure 1.
Cross-sectional associations of plasma PFAS concentrations with blood pressure and hypertension prevalence among DPP/DPPOS participants (N=765) Note: Estimated using multivariable linear regression among participants with no hypertension diagnosis and who were not taking anti-hypertensive medication at baseline. All models adjusted for age, sex, race, treatment assignment, education, income, marital status, alcohol drinking, smoking, and DASH diet score.
Figure 2.
Figure 2.
Longitudinal associations between baseline plasma PFAS concentrations and BP trajectories over 15 years of follow-up in DPP/DPPOS (N=940) Note: Effect estimates (markers) and 95% confidence interval (band) are interpreted as rate of blood pressure change (mmHg/y) per doubling of plasma PFAS concentrations measured at baseline. All models adjusted for age, sex, race, treatment assignment, education, income, marital status, alcohol drinking, smoking, and DASH diet score.

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