Long-term exposure to elemental components of fine particulate matter and all-natural and cause-specific mortality in a Danish nationwide administrative cohort study.
Humans
Air Pollutants
/ analysis
Air Pollution
/ statistics & numerical data
Cause of Death
Cohort Studies
Denmark
/ epidemiology
Environmental Exposure
/ analysis
Lung Neoplasms
/ mortality
Nickel
Particulate Matter
/ analysis
Renal Insufficiency, Chronic
/ mortality
Respiratory Tract Diseases
/ mortality
Zinc
/ analysis
Mortality
Air pollution
Cox proportional regression model
Denmark
Long-term exposure
Mortality
PM(2.5) elemental components
Journal
Environmental research
ISSN: 1096-0953
Titre abrégé: Environ Res
Pays: Netherlands
ID NLM: 0147621
Informations de publication
Date de publication:
01 05 2023
01 05 2023
Historique:
received:
30
11
2022
revised:
08
02
2023
accepted:
21
02
2023
pubmed:
24
2
2023
medline:
15
3
2023
entrez:
23
2
2023
Statut:
ppublish
Résumé
Fine particulate matter (PM We evaluated the associations between mortality and long-term exposure to eight PM Of 3,081,244 individuals, we observed 803,373 death from natural causes during follow-up. We found significant positive associations between all-natural mortality with Si and K from both exposure modeling approaches (hazard ratios; 95% confidence intervals per interquartile range increase): SLR-Si (1.04; 1.03-1.05), RF-Si (1.01; 1.00-1.02), SLR-K (1.03; 1.02-1.04), and RF-K (1.06; 1.05-1.07). Strong associations of K and Si were detected with most causes of mortality except CKD and K, and diabetes and Si (the strongest associations for psychiatric disorders mortality). In addition, Fe was relevant for mortality from RD, lung cancer, CKD, and psychiatric disorders; Zn with mortality from CKD, RD, and lung cancer, and; Ni and V with lung cancer mortality. We present novel results of the relevance of different PM
Sections du résumé
BACKGROUND
Fine particulate matter (PM
METHODS
We evaluated the associations between mortality and long-term exposure to eight PM
RESULTS
Of 3,081,244 individuals, we observed 803,373 death from natural causes during follow-up. We found significant positive associations between all-natural mortality with Si and K from both exposure modeling approaches (hazard ratios; 95% confidence intervals per interquartile range increase): SLR-Si (1.04; 1.03-1.05), RF-Si (1.01; 1.00-1.02), SLR-K (1.03; 1.02-1.04), and RF-K (1.06; 1.05-1.07). Strong associations of K and Si were detected with most causes of mortality except CKD and K, and diabetes and Si (the strongest associations for psychiatric disorders mortality). In addition, Fe was relevant for mortality from RD, lung cancer, CKD, and psychiatric disorders; Zn with mortality from CKD, RD, and lung cancer, and; Ni and V with lung cancer mortality.
CONCLUSIONS
We present novel results of the relevance of different PM
Identifiants
pubmed: 36822536
pii: S0013-9351(23)00344-4
doi: 10.1016/j.envres.2023.115552
pii:
doi:
Substances chimiques
Air Pollutants
0
Nickel
7OV03QG267
Particulate Matter
0
Zinc
J41CSQ7QDS
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.
Langues
eng
Sous-ensembles de citation
IM
Pagination
115552Informations de copyright
Copyright © 2023. Published by Elsevier Inc.
Déclaration de conflit d'intérêts
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.