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Health expectancy calculated by Sullivan's method is the number of remaining years, at a particular age, that an individual can expect to live in a healthy state. [2] It is computed by subtracting the probable duration of bed disability and inability to perform major activities from the life expectancy. The data for calculation is obtained from ...
The Healthy Life Years (HLY) indicator, also known as disability-free life expectancy (DFLE) or Sullivan's Index, is a European structural indicator computed by Eurostat. It is one of the summary measures of population health, known as health expectancies, [1] composite measures of health that combine mortality and morbidity data to represent ...
Life tables can be extended to include other information in addition to mortality, for instance health information to calculate health expectancy. Health expectancies such as disability-adjusted life year and Healthy Life Years are the remaining number of years a person can expect to live in a specific health state, such as free of disability .
For the least active, moving up to the second group brought gains in life expectancy of 0.6 years, while going up to the third group added 3.5 years—corresponding to life expectancy at birth of ...
The tool, called Life2vec, can predict life expectancy based on its study of data from 6 million Danish people. Findings were published in a study titled "Using sequences of life-events to predict ...
"The first 1000-year-old is probably only ~10 years younger than the first 150-year-old."–Aubrey de Grey, 2005 [1]. In the life extension movement, longevity escape velocity (LEV), actuarial escape velocity [2] or biological escape velocity [3] is a hypothetical situation in which one's remaining life expectancy (not life expectancy at birth) is extended longer than the time that is passing.
Elite runners may live longer than the average person. For this study, la Gerche and his team focused on the longevity of a group of the first 200 male elite runners to run a sub-4-minute mile.
The interpretation of in accelerated failure time models is straightforward: = means that everything in the relevant life history of an individual happens twice as fast. For example, if the model concerns the development of a tumor, it means that all of the pre-stages progress twice as fast as for the unexposed individual, implying that the ...