We provide an overview of findings from the Cardiovascular health effects of air pollution in Telangana, India (CHAI) project, a recent effort to investigate health effects of household and ambient particle exposure in a cross-sectional cohort study. We developed a local land use regression model to estimate particle exposure for all households within 28 villages outside the city of Hyderabad using data from a measurement campaign. Mean measured PM2.5 was 34 (sd 3.2) µg/m3 and black carbon (BC) was 2.7 (sd 0.5) µg/m3. Approximately 60% of households reported using biomass as the primary cooking fuel. To integrate across multiple relevant sources of particle exposure in the population, we developed a model of average personal exposure based on personal exposure measurements (n=610, 24 h avg) and participants’ self-reported usual activities and behaviours. Personal exposure to PM2.5 and BC was predicted for all participants in the cohort (n=6000). Personal exposure measurements were not correlated (Rspearman < 0.2) with annual ambient concentration at residence modeled by land-use regression. Predictors of personal exposure in women included cooking activities and household socioeconomic position, while in men predictors were smoking and occupation. We provide an overview of results from epidemiological analyses to estimate the independent effects of ambient particles and primary cooking fuel on carotid intima media thickness, blood pressure, and blood glucose levels. We also present results regarding the association between predicted personal exposure and vascular function measures over a wide exposure range (e.g. mean PM2.5 51 µg/m3 (IQR=9.4) for men, 61 µg/m3 (IQR=12.9) for women). We discuss lessons learned regarding investigating ambient air pollution in settings with high exposure to household air pollution and challenges using more personalized exposures in epidemiological analysis and how findings from CHAI fit within the broader context of air pollution health effects studies in Indian populations.
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