This grant proposes to identify medical and other individual characteristics of persons aged over 64 years that put them at increased risk of dying due to weather, to identify interactions with air pollution that contribute to that risk, and to identify profiles of patterns of pollutants and weather parameters that are particularly associated with elevated risk. Further, we will identify characteristics of community, such as socio-economic status, percent of impermeable surface, of green space, of water, climate zone, variability of weather, air conditioning prevalence, behavioral risk, baseline disease rates, etc which modify the risk of dying, and finally, interactions between the community level and individual characteristics. Importantly, these community level characteristics will be defined on the zip code level, not the city level, allowing us to capture the impact of true local land use. In addition, examining a less explored weather parameter, we will examine the association of rainfall with hospital admissions for gastrointestinal illness in the elderly. Finally, we will conduct a pilot risk assessment using projections, again on a fine scale, of the distribution of weather and pollution in 2030 compared to today, as well as community level projects of changes in risk modifiers. The results of this analysis will aid NIH by identifying disease states that convey risk, and more broadly aid the task of identifying interventions that can improve public health by reducing risk, and where, geographically, those interventions will be most efficacious. The methods used will be case-crossover and case-only analyses to identify risk and risk modifiers, and k-clustering to group weather and air pollution parameters.
This project will identify medical conditions, demographic characteristics, neighborhood land use patterns, climate patterns, socioeconomic patterns and co-exposures to air pollutants that modify the effects of weather and weather extremes on the risk of dying in a national cohort of Medicare recipients in 135 US cities. In addition, it will identify the effects of rainfall on gastrointestinal illness in the elderly living in cities with surface water supplies.
|Wang, Yan; Bobb, Jennifer F; Papi, Bianca et al. (2016) Heat stroke admissions during heat waves in 1,916 US counties for the period from 1999 to 2010 and their effect modifiers. Environ Health 15:83|
|Shi, Liuhua; Liu, Pengfei; Wang, Yan et al. (2016) Chronic effects of temperature on mortality in the Southeastern USA using satellite-based exposure metrics. Sci Rep 6:30161|
|Gronlund, Carina J; Zanobetti, Antonella; Wellenius, Gregory A et al. (2016) Vulnerability to Renal, Heat and Respiratory Hospitalizations During Extreme Heat Among U.S. Elderly. Clim Change 136:631-645|
|Shi, Liuhua; Liu, Pengfei; Kloog, Itai et al. (2016) Estimating daily air temperature across the Southeastern United States using high-resolution satellite data: A statistical modeling study. Environ Res 146:51-8|
|Kloog, Itai; Melly, Steven J; Coull, Brent A et al. (2015) Using Satellite-Based Spatiotemporal Resolved Air Temperature Exposure to Study the Association between Ambient Air Temperature and Birth Outcomes in Massachusetts. Environ Health Perspect 123:1053-8|
|Nordio, Francesco; Zanobetti, Antonella; Colicino, Elena et al. (2015) Changing patterns of the temperature-mortality association by time and location in the US, and implications for climate change. Environ Int 81:80-6|
|Shi, Liuhua; Kloog, Itai; Zanobetti, Antonella et al. (2015) Impacts of Temperature and its Variability on Mortality in New England. Nat Clim Chang 5:988-991|
|Nguyen, Jennifer L; Laden, Francine; Link, Mark S et al. (2015) Weather and triggering of ventricular arrhythmias in patients with implantable cardioverter-defibrillators. J Expo Sci Environ Epidemiol 25:175-81|
|Gronlund, Carina J; Zanobetti, Antonella; Schwartz, Joel D et al. (2014) Heat, heat waves, and hospital admissions among the elderly in the United States, 1992-2006. Environ Health Perspect 122:1187-92|
|Zhang, Kai; Li, Yun; Schwartz, Joel D et al. (2014) What weather variables are important in predicting heat-related mortality? A new application of statistical learning methods. Environ Res 132:350-9|
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