Exposure-response associations between chronic exposure to fine particulate matter and risks of hospital admission for major cardiovascular diseases: population based cohort study.


Journal

BMJ (Clinical research ed.)
ISSN: 1756-1833
Titre abrégé: BMJ
Pays: England
ID NLM: 8900488

Informations de publication

Date de publication:
21 Feb 2024
Historique:
medline: 22 2 2024
pubmed: 22 2 2024
entrez: 21 2 2024
Statut: epublish

Résumé

To estimate exposure-response associations between chronic exposure to fine particulate matter (PM Population based cohort study. Contiguous US. 59 761 494 Medicare fee-for-service beneficiaries aged ≥65 years during 2000-16. Calibrated PM Risk of the first hospital admission during follow-up for ischemic heart disease, cerebrovascular disease, heart failure, cardiomyopathy, arrhythmia, valvular heart disease, thoracic and abdominal aortic aneurysms, or a composite of these CVD subtypes. A causal framework robust against confounding bias and bias arising from errors in exposure measurements was developed for exposure-response estimations. Three year average PM The findings of this study suggest that no safe threshold exists for the chronic effect of PM

Identifiants

pubmed: 38383041
doi: 10.1136/bmj-2023-076939
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e076939

Informations de copyright

© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: All authors have completed the ICMJE uniform disclosure form at www.icmje.org/disclosure-of-interest/ and declare: support from the National Institutes of Health (NIH) and Alfred P Sloan Foundation for the submitted work. FD reports funding from NIH and Alfred P Sloan Foundation; JDS reports funding from NIH. All other authors declare no support from any organization for the submitted work; no financial relationships with any organizations that might have an interest in the submitted work in the previous three years, no other relationships or activities that could appear to have influenced the submitted work.

Auteurs

Yaguang Wei (Y)

Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA weiyg@hsph.harvard.edu.

Yijing Feng (Y)

Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA.

Mahdieh Danesh Yazdi (M)

Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA.
Program in Public Health, Department of Family, Population, and Preventive Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA.

Kanhua Yin (K)

Department of Surgery, University of Missouri-Kansas City School of Medicine, Kansas City, MO, USA.

Edgar Castro (E)

Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA.

Alexandra Shtein (A)

Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA.

Xinye Qiu (X)

Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA.

Adjani A Peralta (AA)

Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA.

Brent A Coull (BA)

Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA.
Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Francesca Dominici (F)

Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA.
Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Joel D Schwartz (JD)

Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA.
Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Classifications MeSH