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Longevity Calculator के बारे में

दीर्घायु कैलकुलेटर

The Longevity Calculator is based on a detailed statistical analysis led by Professor Oliver Brown while at the University of Cambridge’s Narton Schoolhe Tool is based on an NIH-AARP dataset of approximately 750,000 members of the American Association for Retired Persons (AARP) living in one of six states (California, Florida, Pennsylvania, New Jersey, North Carolina, or Louisiana) or in two metropolitan areas (Atlanta, Georgia or Detroit, Michigan). The data was received in response to a proposal made to the NIH-AARP Diet and Health Study governing committee. The data was anonymized for research purposes. Survey participants responded to a diet and health survey in 1996-1997, when they were between 50 and 70 years old, and whose status, living or dead, was determined at least 12.9 years later, the last available follow-up date having been December 31, 2019. At the end of the study, either the date of their death, if they died during the study, or the fact that they were alive at the end, was recorded.

Three and a half million people were sent surveys. The cohort consisted of 866,398 respondents. After cleaning the data (by removing respondents with extreme values of height, weight, caloric consumption, alcohol consumption, and BMI), there were 840,677 survey responses left. Respondents whose dates of death were the same day as their reported survey responses were then removed. Last, the researchers focused statistical modeling on those respondents who did not report currently having had a chronic disease at the time of the survey, which further removed 233,166 respondents. This left 607,489 total respondents. Of these, 335,543 were men and 271,946 were women.

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अतिरिक्त ऐप जानकारी

नवीनतम संस्करण

निवेदन Longevity Calculator अपडेट 1.0.2

द्वारा डाली गई

Sarmad Nazir

Android ज़रूरी है

Android 5.1+

Available on

Longevity Calculator Google Play प्राप्त करें

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नवीनतम संस्करण 1.0.2 में नया क्या है

Last updated on Apr 30, 2021

v1.2

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Longevity Calculator स्क्रीनशॉट

पिछले 24 घंटों में लोकप्रिय लेख

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