MedicalResearch.com: What is the background for this study? What are the main findings?
Response: We started with asking ourselves how we could better predict cardiovascular and stroke outcomes. In an ideal world, we would be able to predict cardiovascular disease (CVD) and stroke with 100% accuracy long before the occurrence of the event. The challenge here is there are so many potential risk factors, and testing each one using traditional methods would be extremely time consuming, and possibly infeasible.
Therefore, we used artificial intelligence to find potential risk factors that could be important for risk of CVD and stroke. The results of this analysis pointed to consumption of coffee cups per day and the number of times red meat was consumed per week as being potentially important predictors of CVD.
We then looked into these findings further using traditional statistical analyses to determine that increased coffee consumption and red meat consumption appeared to be associated with decreased risk of CVD. The study initially used data from the Framingham Heart Study (FHS) original cohort.
The findings from this data were then tested using data from 2 independent studies, the Cardiovascular Heart Study (CHS) and the Atherosclerosis Risk in Communities Study (ARIC), which both supported the association of increased coffee consumption with decreased CVD risk.