Finding F-0073

“An increase of 10 μg/m3 in PM2.5, NO2 and SO2 concentration was associated with 3.1%, 5.9% and 17.4% increase in the risk of DED outpatient visits, respectively ( RRPM2.5 = 1.031, 95%CI: 1.004–1.059, lag 0–11 day; RRNO2 = 1.059, 95% CI: 1.027–1.092, lag0-14 day; RRSO2 = 1.174, 95% CI: 1.036–1.330, lag0-13 day).”

Cao Association between traffic-related air pollution and risk of outpatient visits for dry eye disease in a megacity along the subtropical coast in South China (2025). BMC Public Health. Page 1. CKB 1303

Structure

Factor: Particulate matter (PM₂.₅ and PM₁₀)
Outcome: Dry eye disease
Population: outpatients of a megacity
Setting: city (ambient), CN (2014-2020)
Study design: time-series study of daily outpatient visits for dry eye disease in Guangzhou, 1 January 2014 to 31 December 2020 (2557 days, 27,828 visits), quasi-Poisson generalized linear model with distributed lag non-linear model (class 4)
Effect: RR 1.031 (1.004–1.059) per 10
Averaging time: cumulative lag 0-11 days
Caveat: the sentence prints the effect as a 3.1 % increase in the risk of outpatient visits

A Finding records what one published document states, verbatim and with its page. It is not a conclusion of Coridum; see the Claims that build on it.