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ABSTRACT: Background
Although air pollution has been recognized as a risk factor for chronic obstructive pulmonary disease (COPD), little is known regarding the role of air pollutant exposure, specifically particulate matter (PM), in the dynamic transitions among normal spirometry (lung function), pre-COPD status, and COPD status.Methods
Pulmonary function observations from the UK Biobank cohort were categorized as normal spirometry, preserved ratio impaired spirometry (PRISm), defined as forced expiratory volume in one second (FEV1) < 80% predicted and FEV1/ forced vital capacity (FVC) > 0.70, or spirometry-defined COPD. Multi-state Markov models were used to characterize the association between air pollution exposure (PM2.5, PM coarse, PM10
SUBMITTER: Han X
PROVIDER: S-EPMC12695906 | biostudies-literature | 2025 Nov
REPOSITORIES: biostudies-literature