biostudies-literatureCheng DKey Specialty Construction Project of Shanghai Pudong New Area Health CommissionTop-level Clinical Discipline Project of Shanghai Pudong District64https://www.ebi.ac.uk/biostudies/studies/S-EPMC11245865biostudies-literatureUnknown23(1)<h4>Background</h4>Brominated Flame Retardants (BFRs) have attracted widespread concern due to their environmental persistence and potential toxicity. This study aims to examine the association between BFRs exposure and hypertension.<h4>Methods</h4>We used data from the National Health and Nutrition Examination Survey (NHANES) spanning 2005 to 2016 for the cross-sectional analysis. To evaluate the individual and combined impacts of BFRs exposure on hypertension, we utilized multivariate models, including generalized additive models, weighted quantile sum (WQS) regression, and Bayesian kernel machine regression (BKMR) models.<h4>Results</h4>9882 individuals (48% male) aged ≥ 20 were included in the final analysis, of whom 4114 had hypertension. After controlling for potential covariates, hiEnvironmental health : a global access science sourceAssociation between brominated flame retardants (PBDEs and PBB153) exposure and hypertension in U.S. adults: results from NHANES 2005-2016.PMC11245865PWYgf 2021-01PWZzk2022-03Cheng DLi XChen ZXie XCao YYang BWang XYu JWu YZhou JfalseAssociation between brominated flame retardants (PBDEs and PBB153) exposure and hypertension in U.S. adults: results from NHANES 2005-2016.<h4>Background</h4>Brominated Flame Retardants (BFRs) have attracted widespread concern due to their environmental persistence and potential toxicity. This study aims to examine the association between BFRs exposure and hypertension.<h4>Methods</h4>We used data from the National Health and Nutrition Examination Survey (NHANES) spanning 2005 to 2016 for the cross-sectional analysis. To evaluate the individual and combined impacts of BFRs exposure on hypertension, we utilized multivariate models, including generalized additive models, weighted quantile sum (WQS) regression, and Bayesian kernel machine regression (BKMR) models.<h4>Results</h4>9882 individuals (48% male) aged ≥ 20 were included in the final analysis, of whom 4114 had hypertension. After controlling for potential covariates, hi2024-01-01T00:00:00Z2024 Jul2025-04-18T21:44:36.244Z2025-02-19T02:33:33.546ZS-EPMC112458653900346010.1186/s12940-024-01103-0