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Papers referenced in the video: Inter- and intraindividual variability in daily resting heart rate and its associations with age, sex, sleep, BMI, and time of year: Retrospective, longitudinal cohort study of 92,457 adults https://pubmed.ncbi.nlm.nih.gov/32023264/
Heart rate variability with photoplethysmography in 8 million individuals: a cross-sectional study https://pubmed.ncbi.nlm.nih.gov/33328029/
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Levine’s Biological age calculator is embedded as an Excel file in this link from my website: https://michaellustgarten.com/2019/09/09/quantifying-biological-age/
An epigenetic biomarker of aging for lifespan and healthspan https://pubmed.ncbi.nlm.nih.gov/29676998/
Underlying features of epigenetic aging clocks in vivo and in vitro https://pubmed.ncbi.nlm.nih.gov/32930491/
Population Specific Biomarkers of Human Aging: A Big Data Study Using South Korean, Canadian, and Eastern European Patient Populations https://pubmed.ncbi.nlm.nih.gov/29340580/
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Papers referenced in the video:
A Physiology Clock for Human Aging (preprint) https://www.biorxiv.org/content/10.1101/2022.04.14.488358v1
Spirometry Reference Equations for Central European Populations from School Age to Old Age https://pubmed.ncbi.nlm.nih.gov/23320075/
An Integrated, Multimodal, Digital Health Solution for Chronic Obstructive Pulmonary Disease: Prospective Observational Pilot Study https://pubmed.ncbi.nlm.nih.gov/35142291/
Predicting Age by Mining Electronic Medical Records with Deep Learning Characterizes Differences between Chronological and Physiological Age https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5716867/
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Papers referenced in the video: Laboratory parameters in centenarians of Italian ancestry https://pubmed.ncbi.nlm.nih.gov/17681733/
Risk Factors For Hyperuricemia In Chinese Centenarians And Near-Centenarians https://pubmed.ncbi.nlm.nih.gov/31908434/
Fasting glucose level and all-cause or cause-specific mortality in Korean adults: a nationwide cohort study https://pubmed.ncbi.nlm.nih.gov/32623847/
High-density lipoprotein cholesterol and all-cause mortality by sex and age: a prospective cohort study among 15.8 million adults https://pubmed.ncbi.nlm.nih.gov/33313654/
Predicting Age by Mining Electronic Medical Records with Deep Learning Characterizes Differences between Chronological and Physiological Age https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5716867/
11 Centenarian TG studies: https://michaellustgarten.com/2020/02/19/blood-testing-whats-an-optimal-value-for-triglycerides-2/
Association of Hemoglobin Concentration and Its Change With Cardiovascular and All-Cause Mortality https://pubmed.ncbi.nlm.nih.gov/29378732/
U-shaped mortality curve associated with platelet count among older people: a community-based cohort study https://pubmed.ncbi.nlm.nih.gov/26265696/
Blood counts in adult and elderly individuals: defining the norms over eight decades of life https://pubmed.ncbi.nlm.nih.gov/32030733/
Effect of aging on serum uric acid levels: longitudinal changes in a large Japanese population group https://pubmed.ncbi.nlm.nih.gov/12242321/
Commonly used clinical chemistry tests as mortality predictors: Results from two large cohort studies https://pubmed.ncbi.nlm.nih.gov/33152050/
Implication of liver enzymes on incident cardiovascular diseases and mortality: A nationwide population-based cohort study https://pubmed.ncbi.nlm.nih.gov/29491346/
Association of the Aspartate Aminotransferase to Alanine Aminotransferase Ratio with BNP Level and Cardiovascular Mortality in the General Population: The Yamagata Study 10-Year Follow-Up https://pubmed.ncbi.nlm.nih.gov/27872510/
White blood cell count and mortality in the Baltimore Longitudinal Study of Aging https://pubmed.ncbi.nlm.nih.gov/17481443/
Age and sex variation in serum albumin concentration: an observational study https://pubmed.ncbi.nlm.nih.gov/26071488/
The gamma gap predicts 4-year all-cause mortality among nonagenarians and centenarians https://pubmed.ncbi.nlm.nih.gov/29348636/
Age-related changes in clinical parameters and their associations with common complex diseases https://pubmed.ncbi.nlm.nih.gov/26623014/
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Papers referenced in the video:
Life-Span Extension in Mice by Preweaning Food Restriction and by Methionine Restriction in Middle Age https://pubmed.ncbi.nlm.nih.gov/19414512/
Low methionine ingestion by rats extends life span https://pubmed.ncbi.nlm.nih.gov/8429371/
Fasting glucose level and all-cause or cause-specific mortality in Korean adults: a nationwide cohort study https://pubmed.ncbi.nlm.nih.gov/32623847/
Total plasma homocysteine and cardiovascular risk profile. The Hordaland Homocysteine Study https://pubmed.ncbi.nlm.nih.gov/7474221/
Predicting Age by Mining Electronic Medical Records with Deep Learning Characterizes Differences between Chronological and Physiological Age https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5716867/
Association between low-density lipoprotein cholesterol and cardiovascular mortality in statin non-users: a prospective cohort study in 14.9 million Korean adults https://pubmed.ncbi.nlm.nih.gov/35218344/
Blood counts in adult and elderly individuals: defining the norms over eight decades of life https://pubmed.ncbi.nlm.nih.gov/32030733/
Michael Lustgarten 