Ontology highlight
ABSTRACT: Background
The association between specific chemical components of PM2.5 and depression remains largely unknown.Methods
We conducted a time-stratified case-crossover analysis with a distributed lag nonlinear model (DLNM) to evaluate the relationship of PM2.5 and its chemical components, including black carbon (BC), organic matter (OM), sulfate (SO42-), nitrate (NO3-), and ammonium (NH4+), with the depression incidence. Daily depression outpatients were enrolled from Huizhou, Shenzhen, and Zhaoqing.Results
Among 247,281 outpatients, we found the strongest cumulative effects of PM2.5 and its chemical components with the odd ratios (ORs) of 1.607 (95% CI: 1.321, 1.956) an
SUBMITTER: Zhuang Z
PROVIDER: S-EPMC10892610 | biostudies-literature | 2024 Feb
REPOSITORIES: biostudies-literature