ArticleBMC public health2026
Association between PM
Article in BMC public health, 2026. 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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Associations of PMFrontiers in public health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
backgroundAmbient particulate matter with aerodynamic diameter ≤ 2.5 μm (PM2.5) components in self-reported dyslipidemia remain unclear. This study aimed to investigate the associations between specific PM2.5 constituents and self-reported dyslipidemia.
methodsThis study included 17,213 participants aged ≥ 45 years from the China Health and Retirement Longitudinal Study. Five major PM2.5 components (black carbon [BC], organic matter [OM], sulfate [SO4²⁻], nitrate [NO3⁻], and ammonium [NH4⁺]) were estimated using Tracking Air Pollution. Multivariable logistic and Cox proportional hazards models were used to estimate associations. Stratified analyses by age, gender, and residence were performed, and weighted quantile sum (WQS) regression was used to assess mixture associations.
resultsAt baseline, 1,696 participants (9.9%) had self-reported dyslipidemia. In longitudinal analysis, all components remained significantly associated with incident self-reported dyslipidemia, with hazard ratios ranging from 1.06 to 1.10. NO3⁻ showed the strongest associations in both analyses. Associations were more pronounced in participants aged ≥ 65 years. Mixture analysis revealed significant joint associations (WQS OR = 1.15, 95% CI: 1.08–1.23), with NO3⁻ contributing the highest weight. Modeled exposure-response relationships indicated non-linear associations, with increasing risk at higher exposure levels.
conclusionsIn conclusion, this observational study suggests that exposure to PM2.5 components, particularly NO3⁻, was associated with increased self-reported dyslipidemia risk in middle‑aged and older adults.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.