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ABSTRACT: Background
Dry eye disease (DED) is one of the most common ocular surface disorders caused by various contributors. Air pollutants are considered a risk factor for ocular surface diseases. We aimed to investigate the associations between air pollutants (PM2.5, PM10, NO2, SO2, CO and O3) and PM2.5 constituents and daily outpatient visits for DED, as well as the modifying effect of temperature on the associations.Methods
Daily data on DED outpatient visits and environmental variables during 2014-2019 were collected in Hangzhou, China. Distributed lag nonlinear models (DLNM) combined with time-stratified case-crossover design were utilized to evaluate the effects of air pollutants and PM2.5 constituen
SUBMITTER: Chu D
PROVIDER: S-EPMC11951751 | biostudies-literature | 2025 Mar
REPOSITORIES: biostudies-literature