A cup of coffee a day keeps heart disease away


Researchers followed more than 15,000 people and found those who drank one to six cups of a coffee a day were five to eight percent less likely to suffer from heart failure, stroke or coronary disease.

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

Scientists from Icahn School of Medicine in NY recruited 15,569 participants for the diet study and monitored their health for four years.

Victoria Taylor, senior dietitian at the British Heart Foundation, said: "Previous research has suggested that intakes of three to five cups of coffee a day shouldn't affect the risk of developing heart and circulatory disease".

The research was presented at the American Heart Association's Scientific Sessions 2017, in California.

Another team of researchers found that increasing coffee consumption by one cup per week reduced the risk of heart failure by seven per cent and stroke by eight per cent.

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"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 bad cardiovascular conditions.

The coffee study involved a re-analysis of data from the Framingham Heart Study, a long-running United States investigation of heart disease risk factors involving many thousands of participants. That being said, it is now hard to verify these results because the definition of what constitutes "red meat" differs between studies. Nearly all of the coffee drinkers in the study (97%) consumed between one and six cups of coffee a day, says Stevens, so the researchers can't know for sure if the benefits continue at even higher consumption levels.

Currently, the AHA recommend consuming less red meat - including beef, pork, and lamb - due to its higher cholesterol and saturated fat content. Those studies were the Cardiovascular Heart Study and the Atherosclerosis Risk in Communities Study.

The researchers also built a predictive model using known risk factors from the Framingham Risk Score such as blood pressure, age and other patient characteristics associated with cardiovascular disease. "Machine learning may a useful addition to the way we look at data and help us find new ways to lower the risk of heart failure and strokes".

The new research also supports the idea that machine learning may help researchers identify other unknown risk factors-or protective factors-for disease.

The scientists will go on to explore risk factors for those two events and aim to better understand how our diets influence our cardiovascular health. The current risk-assessment tools used to predict whether someone might develop heart disease are very good, the authors noted in their presentation, but they're not 100% accurate, suggesting that more risk factors could still be identified.