Tag Archives: Cholesterol

DHEA-S Is A Weakness In My Data: Blood Test #5 in 2022

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Papers referenced in the video:
Total cholesterol and all-cause mortality by sex and age: a prospective cohort study among 12.8 million adults

The Value of Serum Albumin and High-Density Lipoprotein Cholesterol in Defining Mortality Risk in Older Persons with Low Serum Cholesterol

Reference intervals of nine steroid hormones over the life-span analyzed by LC-MS/MS: Effect of age, gender, puberty, and oral contraceptives

Incomplete Pattern of Steroidogenic Protein Expression in Functioning Adrenocortical Carcinomas

Serum dehydroepiandrosterone sulfate levels predict longevity in men: 27-year follow up study in a community based cohort (Tanushimaru study)

Blood Test Analysis: Italian Centenarians

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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/

Optimizing Blood Cholesterol Levels: What’s My Data?

In an earlier video, I presented data for total cholesterol (TC) levels in blood in terms of changes during aging and all-cause mortality risk. I’ve measured TC 25 times in the past 5 years, and in this video, I present that data, and my approach to optimize it.