Benefits Of Coffee: Drinking Coffee Might Reduce Risk Of Stroke, Heart Disease

GETTYThe risk of heat failure is reduced by seven per cent

"People who eat more plant-based foods eat less processed foods and therefore have less sodium intake, which has been shown to increase risk for high blood pressure and heart failure", she says.

I, for one, can't function without a large cup of coffee in the morning.

The heart study has tracked the health of thousands of participants since the 1940s contributing to a wealth of data made available to researchers.

Statements and conclusions of study authors that are presented at American Heart Association scientific meetings are exclusively those of the study authors and do not necessarily reflect association policy or position.

"Granted, it's preliminary research that hasn't appeared in a peer-reviewed journal yet, but based on these researchers" and others' findings, there's mounting evidence that coffee's combo of caffeine, natural antioxidants, and anti-inflammatory effects somehow helps fight off very bad cardiovascular conditions.

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"Drinking coffee was associated with decreased risk of developing heart failure by seven per cent and stroke by eight per cent with every additional cup of coffee consumed per week compared with non-coffee drinkers".

Stevens and team also found a correlation between how much red meat we include in our diets and the risk of stroke and heart failure. The machine learning helped the researchers analyze the data and look at the connection between coffee consumption and heart health. Instead, they suggest replacing it with chicken, fish, and beans. That's the secret to reducing your risk of heart failure, according to two studies. When they did this, using the data sets from the Cardiovascular Heart Study and the Atherosclerosis Risk In Communities Study, they found the same association.

The new research also supports the idea that machine learning may help researchers identify other unknown risk factors-or protective factors-for disease. "Ultimately, our key goals are to determine whether coffee consumption is a clinically useful part of cardiovascular disease risk assessment", she says, "and whether changing coffee or caffeine consumption may be a way of altering that risk". They hope that machine learning methods will be effective in uncovering hitherto unknown culprits.

"In an ideal world, we would be able to predict cardiovascular disease and stroke with 100% accuracy long before the occurrence of the event", said first author Laura Stevens, a doctoral student at the University of Colorado School of Medicine, in an email to TIME. "The risk assessment tools we now use for predicting whether someone might develop heart disease, particularly heart failure or stroke, are very good but they are not 100 percent accurate", said Laura M. Stevens, B.S., first author of the study and a doctoral student at the University of Colorado School of Medicine in Aurora, Colorado and Data Scientist for the Precision Medicine Institute at the American Heart Association in Dallas, Texas.

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