Long-term exposure to air pollutants and increased risk of chronic kidney disease in a community-based population using a fuzzy logic inference model.

ABSTRACT:

Background

Fuzzy inference systems (FISs) based on fuzzy theory in mathematics were previously applied to infer supplementary points for the limited number of monitoring sites and improve the uncertainty of spatial data. Therefore we adopted the FIS method to simulate spatiotemporal levels of air pollutants [particulate matter <2.5 μm (PM_2.5), sulfur dioxide (SO₂) and (NO₂)] and investigated the association of levels of air pollutants with the community-based prevalence of chronic kidney disease (CKD).

Methods

A Complex Health Screening program was launched during 2012-2013 and a total of 8284 community residents in Chiayi County, which is located in southwestern Taiwan, received a series of standard physical examinations, including measureme

SUBMITTER: Lin HC 

PROVIDER: S-EPMC9494518 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature