The research team is examining the impact of greenness and greening interventions (tree plantings) on cardiovascular disease (CVD) diagnoses. The study takes advantage of a natural experiment to increase greenness in low-income neighborhoods in Miami-Dade County. The investigators are using a prospective, longitudinal quasi-experimental design to study the impact of block-level greenness exposure on CVD outcomes in low-income Miami-Dade Medicare beneficiaries. The study findings can inform advocacy efforts, policy decisions, and resource allocation with respect to greening programs.
Number of CVD diagnoses (hypertension, ischemic heart disease, heart failure, stroke/transient ischemic attack, atrial fibrillation, and acute myocardial infarction) and mortality.
To test if greenness impacts the number of CVD diagnoses, the investigators are comparing the two control groups (High-High vs. Low-Low) on the number of CVD diagnoses for 2016, co-varying the number of 2010 CVD diagnoses, and controlling for potential confounders such as income, crime, racial/ethnic composition, and number of elders per block. They are using a multi-level framework to model the impact of High-High vs. Low-Low greenness blocks on number of CVD diagnoses over time. Parallel analyses are conducted to study the impact of greening interventions on CVD, with the comparisons between the two block groups that were low in greenness in 2010, one group which received a greening intervention (Low-High) and one group that did not (Low-Low). Registered on Open Science Framework.