The association between PM2.5 components and cognitive decline: the impact of measurement error correction
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Le résumé fourni par la source
Growing evidence suggests that exposure to fine particulate matter (PM 2.5 ) may accelerate cognitive decline and increase dementia risk, but the roles of individual PM 2.5 components, particularly when accounting for exposure measurement error, remain unclear. We followed 12,824 participants in the Nurses' Health Study cognition substudy (2000–2008). One-year average PM 2.5 component concentrations preceding each participant's first cognitive assessment were assigned based on residential address. A global cognitive score was calculated as the mean of z-scores from six tests, and individual rates of cognitive decline were estimated using linear mixed models with random intercepts and slopes. Using information on the relationships of personal exposures and nearest-monitor PM 2.5 components from a prior validation study, we employed double/debiased machine learning (DML) method to estimate associations between PM 2.5 components and cognitive decline while accommodating high-dimensional multi-pollutant exposures and accounting for exposure measurement error. Higher exposure to several PM 2.5 components were associated with changes in rates of cognitive decline. In multi-pollutant models without measurement error correction, each doubling of chloride (Cl) concentration was associated with a 0.0003 (95% CI: 0.0000, 0.0005) standard unit slower annual rate of cognitive decline, while each doubling in silicon (Si) was associated with a −0.0025 (95% CI: −0.0050, 0.0000) faster rate of decline. After correction for measurement error, associations generally strengthened: higher bromine (Br), manganese (Mn), and lead (Pb) were significantly associated with faster cognitive decline. In contrast, higher strontium (Sr) and vanadium (V) were associated with slower decline. Our findings suggest that long-term exposure to certain PM 2.5 components, and their sources, may be more detrimental to cognitive aging than others, and highlight the critical need to correct for measurement error when assessing the health impacts of PM 2.5 and its components. More research is needed to confirm these findings, ideally with access to larger validation studies of component exposures.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- The association between PM2.5 components and cognitive decline: the impact of measurement error correction
- Date Crossref
- 01/07/2026
- Éditeur
- Elsevier BV
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Harvard University pays non établi dans la noticeUniversité ou école supérieure
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Brigham and Women's Hospital pays non établi dans la noticeÉtablissement de santé
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Yale University Department of Biostatistics pays non établi dans la noticeUniversité ou école supérieure
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Yale New Haven Health System pays non établi dans la noticeÉtablissement de santé
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Tufts University Department of Civil and Environmental Engineering pays non établi dans la noticeUniversité ou école supérieure
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Harvard Pilgrim Health Care pays non établi dans la noticeÉtablissement de santé
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University of California pays non établi dans la noticeUniversité ou école supérieure
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Harvard T.H. Chan School of Public Health Department of Environmental Health pays non établi dans la noticeUniversité ou école supérieure
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Harvard T. H. Chan School of Public Health Department of Medicine pays non établi dans la noticeUniversité ou école supérieure
Harvard University, Brigham and Women's Hospital et Department of Biostatistics — Yale University, avec 6 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.