Community Research and Development Information Service - CORDIS


CHAI Report Summary

Project ID: 336167
Funded under: FP7-IDEAS-ERC
Country: Spain

Mid-Term Report Summary - CHAI (Cardiovascular Health effects of Air pollution in Andhra Pradesh, India)

While there is convincing evidence that particulate matter (PM) causes cardiovascular mortality and morbidity, very little of this evidence is based on populations outside of high income countries. Findings from high income countries may have limited generalisability to low and middle income countries because PM exposure levels are typically outside of the range observed in high income countries; there may be differences in particle composition and toxicity; and differences in susceptibility to air pollution due to differences in baseline health status and material deprivation.
CHAI investigates the relationship between particulate air pollution from outdoor and household sources with markers of atherosclerosis, an important cardiovascular pathology. CHAI focuses on rural and peri-urban populations in Telangana, which serves as an excellent model of the population growth, urbanisation, and increasing rates of cardiovascular disease experienced throughout much of India.
The CHAI aims to 1) characterize the exposure of a cohort of adults to particulate air pollution from household and outdoor sources 2) integrate information from GPS, wearable cameras and continuous measurements of personal exposure to particles to understand where and through which activities people are most exposed and 3) quantify the association between particles and markers of atherosclerosis.
At the time of reporting, data collection and cleaning is complete. We collected questionnaire data, personal PM2.5 measurements with repeated measurements to understand within person variability in exposure over time, geographical data on land use, population density, and local industries, as well as detailed data on individual´s mobility and activities.
Our analysis of patterns of daily mobility indicated larger gender differences in mobility compared to other populations; women in our population spent significantly more time than men at home and had much smaller activity spaces. These differences have important implications for exposure to PM as well as other environmental factors. Analyses of spatio-temporal patterns in ambient PM2.5 indicate that background PM levels in this rural area are high relative to global air quality guidelines and impacted by local emission sources like biomass combustion and industry. Analyses are underway to develop prediction models of exposure for the full cohort and to identify specific activities linked with high exposures. These results will feed into subsequent epidemiological analyses.

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