

Behind the Study: Psychological Factors Contribute to Biological Aging in Chinese Older Adults
Oct 18, 2022
04:35
Fedor Galkin, Scientific Director at Deep Longevity, Inc. in Hong Kong, discusses a research paper he co-authored that was published by Aging (Aging-US) as the cover for Volume 14, Issue 18, entitled, “Psychological factors substantially contribute to biological aging: evidence from the aging rate in Chinese older adults.”
DOI - https://doi.org/10.18632/aging.204264
Corresponding author - Fedor Galkin - fedor@deeplongevity.com
Video - https://www.youtube.com/watch?v=WBxTe1fGPxI
Abstract
We have developed a deep learning aging clock using blood test data from the China Health and Retirement Longitudinal Study, which has a mean absolute error of 5.68 years. We used the aging clock to demonstrate the connection between the physical and psychological aspects of aging. The clock detects accelerated aging in people with heart, liver, and lung conditions. We demonstrate that psychological factors, such as feeling unhappy or being lonely, add up to 1.65 years to one’s biological age, and the aggregate effect exceeds the effects of biological sex, living area, marital status, and smoking status. We conclude that the psychological component should not be ignored in aging studies due to its significant impact on biological age.
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Press release - https://www.aging-us.com/news_room/Psychological-factors-substantially-contribute-to-biological-aging-evidence-from-the-aging-rate-in-Chinese-older-adults
Keywords - aging, psychological aging, lifespan psychology, aging clocks, longevity
About Aging-US
Launched in 2009, Aging-US publishes papers of general interest and biological significance in all fields of aging research and age-related diseases, including cancer—and now, with a special focus on COVID-19 vulnerability as an age-dependent syndrome. Topics in Aging-US go beyond traditional gerontology, including, but not limited to, cellular and molecular biology, human age-related diseases, pathology in model organisms, signal transduction pathways (e.g., p53, sirtuins, and PI-3K/AKT/mTOR, among others), and approaches to modulating these signaling pathways.
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