According to the findings reported in the American Heart Association’s journal Circulation, greater grip strength, more physical activity and better cardio-respiratory fitness are associated with reduced risk for heart attacks and stroke — even among people with a genetic predisposition for heart disease.
“The main message is that being physically active is associated with a lower risk of heart disease, even if you have a high genetic risk,” said Erik Ingelsson, lead study author and Professor of Medicine at Stanford University’s School of Medicine in California.
To reach this conclusion, researchers looked at data from roughly a half-million people in the UK Biobank database. For participants with an intermediate genetic risk for cardiovascular diseases, those with the strongest grips were 36% less likely to develop coronary heart disease and had a 46% reduction in their risk for atrial fibrillation, compared to study participants with the same genetic risk who had the weakest grips.
Among individuals deemed at high genetic risk for cardiovascular diseases, high levels of cardiorespiratory fitness were associated with a 49% lower risk for coronary heart disease and a 60% lower risk for atrial fibrillation compared to study participants with low cardiorespiratory fitness.
“The study is not a prescription for a specific type or amount of exercise and because the results come from an observational study, Ingelsson said, adding that “we can’t definitely claim a causal connection.” Nonetheless, the researchers said the data is robust and the results are worthy for consideration in guidelines.
Tag: UK Biobank
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Heart disease in your family? Daily exercise may help you lower its risks
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Heavy drinking linked to lower muscle mass
Heavy drinking has long been associated with various health problems, including cirrhosis of the liver, cancer and heart disease.
But our latest study has found that these aren’t the only issues that excess drinking can cause. We found that heavy drinkers had lower levels of muscle mass than those who didn’t drink, or drank moderately. To conduct our study, we used data from the UK Biobank, a large database of lifestyle and health information from half a million people in the UK. We included data from nearly 2,00,000 people aged between 37 and 73, looking at their average alcohol consumption and their muscle mass.
We made adjustments for any factors that may affect the results of our analysis, such as a person’s physical activity levels, how much protein they ate and whether they smoked.
Our analysis looked at men and women separately because there are differences in body composition between the sexes. We also only included white participants in our study because we only had data from a small number of people from other ethnic groups – and this wasn’t enough to model them separately.
We used a statistical model that would illustrate the way muscle mass differed according to the amount of alcohol people drank. Because larger people have more muscle, we scaled muscle for body size.
Overall, people had lower amounts of muscle the more that they drank. This effect happened after about one unit of alcohol a day for men (just under a small glass of wine) and just under two units for women (the equivalent of a pint of lager).
The men and women who were among the heaviest drinkers – consuming around 20 units a day, the equivalent of two bottles of wine or ten pints of beer – had 4 per cent-5 per cent less muscle than those who did not drink at all. Comparing this difference with the average yearly loss of muscle (around 0.5 per cent), our findings may have important implications when it comes to our health as we age.
Our study can’t conclude that alcohol is directly causing muscle loss, because we measured both alcohol consumption and muscle mass at the same time. In the same study, we also tracked changes in people’s muscle mass over time, compared to their alcohol consumption.
This could give a better idea of whether this relationship was cause and effect. But this data was for a much smaller group and we didn’t find any associations. Source: PTI