Sentences with phrase «predicted age of death»

Not exact matches

Whether on the death of Mrs. Ballard, one of the three only Accredited Messengers to this age, the messages will be continued through the third Messenger, son Donald Ballard, it is impossible to predict surely.

In 2016 the predicted age standardized rate of deaths * in men will be 133.5 per 100,000 of the population and 85.2 per 100,000 in women.

The study predicts that there will be a total of 1,359,100 deaths from cancer in the 28 member states of the EU in 2015 (766,200 men and 592,900 women), corresponding to an age standardised rate of 138.4 per 100,0000 men and 83.9 per 100,000 women.

«This year we predict that 41,300 men and 41,000 women will die from pancreatic cancer — an age standardised rate of 8.0 and 5.6 deaths respectively per 100,000 of the population.

Although the actual absolute numbers have increased when compared with 2009 (the year for which there are World Health Organization mortality data for most EU countries) due to the growing numbers of elderly people, the rate (age - standardised per 100,000 of the population) of people who die from the disease has declined from 148.3 male and 89.1 female deaths per 100,000 in 2009 to 138.1 deaths and 84.7 per 100,000 predicted for 2014.

In women, the predicted age standardised rate of deaths from lung cancer will increase by 9 % from 2009 to 14.24 per 100,000 of the population, while the death rates from breast cancer are predicted to be 14.22 per 100,000, which represents a fall of 10.2 % since 2009.

This could help predict our risk of developing age - related disease, and even the likely time - frame for our death.

Finding a way to measure biological age could help to predict the risk of developing age - related disease and even death.

«Although we did not find the overall traffic - related fatality rate to predict policy adoption, the size of the population ages 15 to 24 years — the group most at risk for death and injury from impaired driving — was associated with first time policy adoption, suggesting that states might be initially more receptive to regulation when it involves protecting younger populations,» said study author Diana Silver, associate professor of public health at NYU Steinhardt and NYU College of Global Public Health.

«Having more midlife FLEs, particularly relating to divorce / separation or a family death, was associated with advanced predicted brain aging,» said Sean Hatton, PhD, a postdoctoral scholar at UC San Diego School of Medicine and the study's first author.

IRP and low - grade inflammation predicted 57 % of observed deaths and 97 % of survival over 2 years, and was not significantly affected by individuals» health status, suggesting that the physiological ageing processes of T - cell immunosenescence and low - grade inflammation are of primary importance in late life survival.

«We used a new algorithm to predict brain aging after horrible life events — like divorce or death — and negative life events accelerate brain aging by about one - third of a year for each event,» said study lead author Sean Hatton, a project scientist at the University of California, San Diego.

Life insurance company underwriters - experts who predict risks of injury, illness and death - look at your age, health, occupation, hobbies and habits, as well as your credit report, in setting your premiums.

Because it is impossible to predict an annuitant's age of death, in some instances where a policy holder lives an exceptionally long life, they will receive significantly more than what they paid into it.

As an analogy, while it is impossible to predict the age at which any particular man will die, we can say with high confidence that the average age of death for men in industrialized countries is about 75.

Life insurance company underwriters - experts who predict risks of injury, illness and death - look at your age, health, occupation, hobbies and habits, as well as your credit report, in setting your premiums.

In a typical life insurance situation, your age, your health, and your lifestyle are big determinants of how long you are likely to live — and when they are all combined, these criteria can help the life insurance company to predict whether it may need to pay out a death benefit claim while you are insured.

People with similar risk characteristics are grouped together so that the insurance company can accurately predict the expected age of death for a given risk class.