Accepted for/Published in: JMIR Aging
Date Submitted: Dec 14, 2021
Open Peer Review Period: Dec 14, 2021 - Feb 8, 2022
Date Accepted: Apr 6, 2022
(closed for review but you can still tweet)
The proposition of a model estimating biological age from physiological biomarkers of healthy aging: a cross-sectional study
ABSTRACT
Background:
Individual differences in rate of aging and susceptibility to disease are not accounted for by chronological age alone. These individual differences are better explained by biological age, which may be estimated by biomarker prediction models. In the light of the aging demographics of the global population and the increase in lifestyle related morbidities, it is interesting to invent a new biological age model to be used for health promotion.
Objective:
To develop a model that estimate biological age based on physiological biomarkers of healthy aging.
Methods:
Carefully selected physiological variables from a healthy study population of 100 women and men were used as biomarkers to establish an estimate of biological age. Principal component analysis was applied to the biomarkers and the first principal component was used to define the algorithm estimating biological age.
Results:
The first principal component accounted for 31% in women and 25% in men of the total variance in the biological age model combining: mean arterial pressure, glycated Hemoglobin (HbA1c), waist circumference, Forced Expiratory Volume within the first sec. (FEV1), maximal oxygen consumption (VO2max), adiponectin, High Density Lipoprotein (HDL), total cholesterol and Soluble urokinase-type Plasminogen Activator Receptor (suPAR). The correlation between the corrected biological age and chronological age was r=0.86 (p<.0001) and r=0.81 (p<.0001) for women and men, respectively and the agreement was high and unbiased. No difference was found between mean chronological age and mean biological age, and the slope of the regression line was near one for both sexes.
Conclusions:
Estimating biological age from these nine biomarkers of aging can be used to assess general health compared to the healthy aging trajectory. This may be useful to evaluate health interventions and as an aid to enhance awareness of individual health risks and behavior, when deviating from this trajectory. Clinical Trial: Trial Registration: Clinical Trial number: NCT03680768; Regional Ethics Committee, Denmark (H-18031350)
Citation
Per the author's request the PDF is not available.
Copyright
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