ArticleFrontiers in public health2025
Sex-specific associations between brominated flame retardants exposure and phenotypic age acceleration in NHANES 2005-2010.
Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Halogenated flame retardant exposure was associated with pediatric gut microbiome profiles in a Canadian cohort.Gut microbes reports · 2026Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Exposure to brominated flame retardants (BFRs) has been linked to age-related diseases. This study investigates the associations between both individual and combined BFRs exposures and phenotypic age acceleration (PhenoAgeAccel) in U.S. adults. Methods: Data from 3,908 U.S. adults from NHANES 2005-2010 were analyzed. Generalized linear regression models (GLMs) assessed the associations between individual BFRs and PhenoAgeAccel, while weighted quantile sum (WQS) regression and Bayesian Kernel Machine Regression (BKMR) analyses were used to evaluate the effects of combined BFRs exposures. Results: GLMs indicated significant positive associations between several BFRs and PhenoAgeAccel, including PBDE28 (β = 0.55, 95% CI: 0.13, 0.96), PBDE85 (β = 0.42, 95% CI: 0.11, 0.74), PBDE47 (β = 0.39, 95% CI: 0.04, 0.75), PBDE99 (β = 0.38, 95% CI: 0.07, 0.68), and PBDE154 (β = 0.37, 95% CI: 0.04, 0.70). RCS analysis confirmed nonlinear dose-response relationships for PBDE47 and PBDE99 (P for nonlinearity = 0.03361 and 0.0233, respectively). Stratified analyses revealed that males were more susceptible to BFRs exposure effects, particularly for PBDE99 (P for interaction = 0.027) and PBDE209 (P for interaction = 0.005). The WQS regression showed a significant association between combined BFRs exposure and increased PhenoAgeAccel (β = 0.504, 95% CI: 0.071, 0.937), with PBB153 and PBDE153 as key contributors. BKMR analysis indicated a trend of increasing PhenoAgeAccel with higher BFR exposure levels, primarily driven by PBDE99. Conclusion: This study highlights the significant positive associations between individual and combined BFR exposures and PhenoAgeAccel, with males potentially being more vulnerable to these effects.
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