Here is an incredibly easy test that can reveal a shocking truth – the length of your life....CONTINUE READING
This test can gauge your lifespan based on your lifestyle choices, which can hugely impact the length of your life.
However, factors like genetics and illness cannot be taken into account in this test. While the test may not give the actual, exact prediction, it can help give an idea of your life expectancy .
Featured on the Today show in the US, Doctor Natalie Azar, explained how the “sit to stand test”, also known as the sit-rising test or SRT, could predict the likelihood whether someone aged between 51 and 80 will die in the near future. This test takes into consideration your heart health, balance, agility, core and leg strength and flexibility. All these factors can help understand your life length.
To do this test, you require no-equipment. All you need to do is go from standing to sitting cross-legged and then back to standing. The rule here is to only use your legs and core to get up and down. You start the test with a score of 10 points. Now subtract one point if you use any of the following for support: hand, knee, forearm, one hand on knee or thigh, and side of leg.
Scoring a low number of points puts you at a significantly higher risk of dying soon. A 2012 study involving the SRT test involved 2,002 participants, of which 68 percent were men. The findings of the study were published by the European Society of Cardiology. Participants performed the SRT test and were followed by researchers in the coming years.
As per the findings, those who scored the fewest amount of points (from zero to three), had up to a six times greater chance of dying than those in the highest scores (eight to 10). Almost half (40 percent) of those in this range died within 11 years of the study, reported Express UK.
Dr Greg Hartley, associate professor at the University of Miami, warned in the Atlanta Journal-Constitution the test isn’t necessarily completely accurate. “Frailty, strength, muscle mass, physical performance—those things are all correlated to mortality, but I would caution everybody that correlation doesn’t mean causation,” he said.
