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In the past few decades, human life expectancy has been increasing worldwide.
The chance of an individual experiencing harmful aging-related phenotypes (including dysfunction and disease) during their lifetime is also significantly increased.
The Do Book
The Do BookTherefore, a practical way to quantify healthy lifespan from the perspective of incidence is to determine the earliest time of onset of major chronic diseases and report the corresponding disease-free survival.
Healthy life span is a promising phenotype for studying human aging.
, A set of serum biomarkers, including blood glucose, lipids and inflammation markers are closely related to the occurrence and development of diseases.
In order to determine preventive strategies to avoid chronic diseases and maintain the health of the elderly, relevant research needs to be conducted to determine the causal mechanism from changeable risk factors to health span.
prevention
The researchers used data from 12,098 Swedish residents between the ages of 47 and 98 to detect the serum concentrations and gene prediction levels of 10 blood glucose, blood lipids, inflammation, and blood biomarkers.
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Seven of the ten serum biomarkers are significantly related to the risk of any chronic disease and death; among them, the biomarkers related to elevated blood sugar and high-density lipoprotein showed the strongest harmful effects (HR=1.
Seven of the ten serum biomarkers are significantly related to the risk of any chronic disease and death; among them, the biomarkers related to elevated blood sugar and high-density lipoprotein showed the strongest harmful effects (HR=1.
The relationship between serum clinical biomarkers and healthy life span and life span.
The relationship between serum clinical biomarkers and healthy life span and life span.
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The circulating concentrations of blood glucose, blood lipids, and inflammation biomarkers are predictors of healthy lifespan and longevity.
references:
Clinical biomarkers and associations with healthspan and lifespan: Evidence from observational and genetic data.
Clinical biomarkers and associations with healthspan and lifespan: Evidence from observational and genetic data.
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