This 2022 human study used four epigenetic clocks to assess aging:
“This cohort study was a secondary analysis of 3 Women’s Health Initiative (WHI) ancillary studies among 1813 women eligible to survive to age 90 years by end of study period. The study found that increased epigenetic age acceleration (EAA) as measured by 4 epigenetic clocks was associated with lower odds of survival to age 90 years with intact mobility; results were similar when including intact cognitive functioning.
This study benefited from a large, racially and ethnically diverse sample of women who were followed up to at least age 90 years with detailed longitudinal data on a host of lifestyle and health history factors. This study is generalizable to WHI women owing to use of IPW weights, and may be generalizable to a large range of women in the United States.
Among 1813 women, there were:
- 464 women who survived to age 90 years with intact mobility and cognitive functioning;
- 420 women who survived to age 90 years without intact mobility and cognitive functioning; and
- 929 women who did not survive to age 90 years.
Only 29 women were reclassified from the healthy longevity group to surviving to age 90 years without intact mobility and cognitive functioning. Although it was of great interest to investigate the association between EAA and survival to age 90 years with intact cognitive function independently, this study population did not have sufficient numbers of women who experienced loss of cognitive function (without loss of mobility) to do so.”
https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2794706 “Analysis of Epigenetic Age Acceleration and Healthy Longevity Among Older US Women”
Early humans who lost mobility in our African savanna ancestral environment during the Pleistocene Epoch (approximately 2.6M to 12K years ago) were prey. I highly doubt that immobile individuals successfully became our ancestors.
I downgraded this study because these researchers misguidedly soiled worthwhile findings with BMI and education level non-causal associations. They intentionally did this, as several of them were coauthors of the execrable Epigenome-wide meta-analysis of BMI in nine cohorts: examining the utility of epigenetic BMI in predicting metabolic health.