Papers referenced in the video: 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/
Papers referenced in the video: A new aging measure captures morbidity and mortality risk across diverse subpopulations from NHANES IV: A cohort study https://pubmed.ncbi.nlm.nih.gov/30596641/
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/
Papers referenced in the video: Effects of blood triglycerides on cardiovascular and all-cause mortality: a systematic review and meta-analysis of 61 prospective studies https://pubmed.ncbi.nlm.nih.gov/24164719/
Crissman Loomis is a former AI programmer, mathematician, health and longevity researcher, and the owner/operator of unaging.com
Timestamps: 0:00 Intro 1:08 5 Lifestyle Factors That Increase Life Expectancy To Around 90y 4:08 All-Cause Mortality (ACM) Data As A Guide To Potentially Get Beyond 90y 5:30 Incorporating Biomarkers Of Organ And Systemic Function For More Specificity 7:50 Optimizing Exercise Dosage 10:38 Using Biomarkers As A Strategy To Optimize Exercise Dose 12:00 Mike’s Exercise Specifics 16:05 Criss’s Exercise Dose 16:30 Titrating Exercise Dose 30:11 Mobility, Flexibility, Balance Training 35:35 Mobile Phenotype/Youthful Movement Pattern 39:25 Criss’s Diet 43:45 Is Calorie Restriction More Important Than Diet Composition? 54:45 Fasting 56:20 BMI Greater Than 25 Is Optimal Based On ACM Data? 1:00:30 Increased Lifespan With Fasting + CR + Circadian Alignment
1:09:30 Criss’s Marathon Training-Impact on CV Biomarkers?
Papers referenced in the video: Mortality rate and longevity of food-restricted exercising male rats: a reevaluation (Exercise increases average, but only CR increases average and maximal lifespan) https://pubmed.ncbi.nlm.nih.gov/9049716/
Female and male US Olympic athletes live 5 years longer than their general population counterparts: a study of 8124 former US Olympians https://pubmed.ncbi.nlm.nih.gov/32727712/
Resistance Training and Mortality Risk: A Systematic Review and Meta-Analysis (Lowest ACM risk for 75 minutes, but an increased ACM risk for greater than 170 minutes/week) https://pubmed.ncbi.nlm.nih.gov/35599175/