Abstract: FR-PO1090
Effects of Environmental Factors on the Progression of CKD in Inhabitants of São Paulo, Brazil
Session Information
- CKD: Epidemiology, Risk Factors, and Prevention - 2
October 25, 2024 | Location: Exhibit Hall, Convention Center
Abstract Time: 10:00 AM - 12:00 PM
Category: CKD (Non-Dialysis)
- 2301 CKD (Non-Dialysis): Epidemiology, Risk Factors, and Prevention
Authors
- Moreira, Tiana Carla Lopes, Nephrology, University of São Paulo School of Medicine, São Paulo, SP, Brazil
- Tammaro, Alessandra, Amsterdam UMC, Amsterdam Cardiovascular Science, University of Amsterdam, Amsterdam, Netherlands
- Mauad, Thais, Pathology, University of São Paulo School of Medicine, São Paulo, SP, Brazil
- Santos, Itamar de Souza, Internal Medicine, University of São Paulo School of Medicine, São Paulo, SP, Brazil
- Andrade, Maria, Institute of Astronomy, Geophysics and Atmospheric Sciences, University of São Paulo, São Paulo, SP, Brazil
- Andrade, Lucia, Nephrology, University of São Paulo School of Medicine, São Paulo, SP, Brazil
- Kers, Jesper, Amsterdam UMC, Amsterdam Cardiovascular Science, University of Amsterdam, Amsterdam, Netherlands
Background
Epidemiological evidence links air pollution to an increased risk of developing chronic diseases. Exposure to air pollution, especially PM10 and PM2.5, has received special attention due to its potential associations with cardiovascular disease (CVD), diabetes mellitus, lung cancer and chronic obstructive pulmonary disease, but its relationship with CKD is still poorly established. In Brazil, around 11% of the population suffers from CKD. We aim to evaluate the relationship between the progression of CKD and exposure to environmental factors such as air pollution, green areas, built-up areas, traffic density in the City of São Paulo in a wave of the Brazilian Longitudinal Study of Adult Health.
Methods
For each participant, we assessed demographic data, environmental data, and risk factors. Two different indicators of exposure to green spaces were used: number of street trees and land cover. Land cover classification was based on the random forest algorithm using geometrically corrected aerial photography (orthophotos). Pollutant exposure was evaluated indirectly using the distance-weighted traffic density of the participant residence and from using the annual mean concentration of PM10 (µg/m3) at the monitoring station closest to the participant residence. Linear regression models were used to evaluate the importance of the environment on CKD progression; the dependent variables were GFR (CKD-EPI), albuminuria (mg/g creatinine) and microalbuminuria (mg/dL), whereas the independent variables were demographic data, environmental data and risk factors.
Results
Cardiac risk according to the American Heart Association, obesity and lower educational level were associated with a higher risk of GFR decline. We also found that traffic density was marginally associated with GFR decline (β = 0.004; CI: 0.008–0.001; p = 0.098). In addition to their associations with CVD and obesity, albuminuria and microalbuminuria were found to correlate inversely with the number of trees (β = 0.03 ; CI: 0.06–0.00; p = 0.04 and β = 0.002; CI: 0.004–0.001; p = 0.05).
Conclusion
To decrease exposure to air pollution and slow the progression of CKD, large-scale street tree planting should be encouraged.
Funding
- Government Support – Non-U.S.