The study found that excessive coffee intake can increase the risk of developing cardiovascular disease

Researchers from the Australian Center for Microscopic Health at the University of South Australia have published the world’s first genetic study that found that long-lasting heavy coffee consumption can increase the amount of fats in the blood and significantly increase the risk of developing cardiovascular disease (CVD). In the study, excessive long-term coffee consumption accounted for six or more cups per day. The study indicates that the association is positive and dose dependent, which means that the more coffee you drink, the greater your risk of developing cardiovascular disease.

Professor Elena Hyppönen, Researcher at The projectThere is a lot of scientific debate about the pros and cons of coffee, he says. It is important to understand how one of the most consumed drinks in the world affects heart health. She said the study looked at genetic associations and phenotypes between coffee intake and plasma lipid profiles.

The features of plasma lipids are the amount of cholesterol and fats in the blood and I found evidence that regular coffee consumption contributes to the formation of a harmful lipid profile, which increases the risk of heart disease. A known risk factor for heart disease is high levels of fats in the blood, and coffee beans contain a powerful cholesterol-raising compound called cafestol.

This compound is mainly found in unfiltered coffee such as French, Turkish, and Greek coffees. It’s also found in espresso, and it’s the basis for many of the coffees you might buy in a store, including lattes and cappuccinos. Researchers note little or no kafestol in filter or instant coffee, which makes these options better for people interested in fats and cardiovascular disease.

Coffee is a popular drink widely around the world, with an estimated 3 billion cups being consumed daily. Cardiovascular disease is the leading cause of death worldwide, claiming 17.9 million lives every year. The study used data from 362,571 UK Biobank participants between the ages of 37 and 73 years old using triangulation of the phenotypic and genetic approach for a comprehensive analysis.

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