The Impact of Exposure Measurement Error on the Estimated Concentration-Response Relationship between Long-Term Exposure to
Journal
Environmental health perspectives
ISSN: 1552-9924
Titre abrégé: Environ Health Perspect
Pays: United States
ID NLM: 0330411
Informations de publication
Date de publication:
07 2022
07 2022
Historique:
entrez:
29
7
2022
pubmed:
30
7
2022
medline:
3
8
2022
Statut:
ppublish
Résumé
Exposure measurement error is a central concern in air pollution epidemiology. Given that studies have been using ambient air pollution predictions as proxy exposure measures, the potential impact of exposure error on health effect estimates needs to be comprehensively assessed. We aimed to generate wide-ranging scenarios to assess direction and magnitude of bias caused by exposure errors under plausible concentration-response relationships between annual exposure to fine particulate matter [PM In this simulation study, we use daily We simulate 1,000 replicates of each of 162 scenarios investigated. In general, both classical and Berkson errors can bias the concentration-response curve toward the null. The biases remain small even when using three times the predicted uncertainty to generate errors and are relatively larger at higher exposure levels. Our findings suggest that the causal determination for long-term
Sections du résumé
BACKGROUND
Exposure measurement error is a central concern in air pollution epidemiology. Given that studies have been using ambient air pollution predictions as proxy exposure measures, the potential impact of exposure error on health effect estimates needs to be comprehensively assessed.
OBJECTIVES
We aimed to generate wide-ranging scenarios to assess direction and magnitude of bias caused by exposure errors under plausible concentration-response relationships between annual exposure to fine particulate matter [PM
METHODS
In this simulation study, we use daily
RESULTS
We simulate 1,000 replicates of each of 162 scenarios investigated. In general, both classical and Berkson errors can bias the concentration-response curve toward the null. The biases remain small even when using three times the predicted uncertainty to generate errors and are relatively larger at higher exposure levels.
DISCUSSION
Our findings suggest that the causal determination for long-term
Identifiants
pubmed: 35904519
doi: 10.1289/EHP10389
pmc: PMC9337229
doi:
Substances chimiques
Air Pollutants
0
Particulate Matter
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Research Support, N.I.H., Extramural
Langues
eng
Sous-ensembles de citation
IM
Pagination
77006Subventions
Organisme : NIEHS NIH HHS
ID : P30 ES000002
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG074357
Pays : United States
Organisme : NIEHS NIH HHS
ID : R01 ES032418
Pays : United States
Commentaires et corrections
Type : CommentIn
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