The purpose of the study was to analyze whether climate change indicators, temperature and precipitation, were associated with higher rates of cardiovascular disease, respiratory disease, cancer, or all-cause mortality, while controlling for various sociodemographic and behavioral confounders. The study utilized an ecological analysis with U.S. Counties to determine the association, and used years 2000 and 2010 as cross-sections to determine any changes over time. The study combined data from the National Center for Health Statistics, National Oceanic and Atmospheric Association, U.S. Census Bureau, and previous work on county-level smoking prevalence. The study utilized GIS mapping to visually determine any geographic correlation. The study also utilized multiple linear regression to determine any statistical correlation. Cardiovascular disease and all-cause mortality were significantly associated with temperature, precipitation, median household income, male percentage, white percentage, and smoking prevalence. Cancer mortality was significantly associated with precipitation, white percentage, and smoking prevalence. Respiratory disease mortality was significantly associated with temperature and smoking prevalence. The study provides quantifiable evidence that at a national level, climate change affects non-communicable diseases in addition to vector-borne diseases.
Recommended CitationAviado, Randy, "Ecological and GIS Analysis of Climate Indicator with Leading Causes of Death" (2016). Master of Public Health Thesis and Capstone Presentations. Presentation 187.