Prediction of Cardiovascular Disease

During this time, obesity and disease risk is predicted by calculating BMI (Body Mass Index). Yet according to a recent study, calculating the ratio of waist and hip circumference is a more accurate way to measure a person’s risk of heart disease.

Who studied comparative study waist and hips have been done in the area of ??Europe and America and is still rare to find evidence that the study resulted in other populations. So, Dr. Salim Yusuf, director of the Population Health Research Institute at McMaster University and Hamilton Health Sciences to study with his colleagues to 52 countries involving more than 27,000 participants. They were divided into groups who have had heart attacks and those who have not.

Team doctors found that BMI in the group who had experienced a heart attack is only slightly higher than the other groups (with no difference in results between the Middle East and South Asia). While the calculation of waist-hip circumference, differences in the ratio of the first group and the second group was so far adrift (irrespective of other cardiovascular risk factors). The scientists found that this observation was consistent in men and women, for all ages, and in all parts of the world.

They believe, waist size comparison and hip circumference three times more accurate than the calculation of BMI in predicting risk of heart disease. In fact, a larger waist size indicates the amount of abdominal fat is harmful, while larger hip size would indicate lower body muscles that are protecting.

Ratio results are safe from the risk of heart disease is less than 0.85 for women and less than 0.90 for men. Larger ratio indicates a higher risk for heart disease.

“We have long been aware of the relationship of obesity and cardiovascular disease,” said Dr. Alan Bernstein, President of the Canadian Institutes of Health Research. “Thanks to the research conducted by Dr.. Yusuf, so we get a better understanding of the risks associated with obesity, which can lead to more effective health measure.”