Cross-sectionally Calculated Metabolic Aging Does Not Relate to Longitudinal Metabolic Changes—Support for Stratified Aging Models
Authors' conclusion
The finding is unexpected under the clock hypothesis that would produce a positive correlation between predicted and observed aging. Our results are better explained by a stratified model where aging rates per se are similar in adulthood but differences in starting points explain diverging metabolic fates.
Study context
- Population
- Training: cross-sectional surveys of the Finnish population (n = 9708; ages 25–74 years); validation: Young Finns Study (YFS; n = 1009; ages 24–49 years)
- Comparison
- Cross-sectionally predicted metabolic age vs longitudinally observed metabolic aging rate
- Outcome
- Correlation between predicted metabolic age (2007) and observed aging rate (2001 to 2011 visit)
- Follow-up
- 2001 to 2011
Methodological detailscross-sectional training data, 3 time points across 10 years, Machine learning model trained to predict age from 153 clinical and cardiometabolic traits; tested against longitudinal data from another cohort
- Cross-sectional training data
- 3 time points across 10 years
- Machine learning model trained to predict age from 153 clinical and cardiometabolic traits; tested against longitudinal data from another cohort
Performance
As reported in the abstract
Correlation of predicted vs observed metabolic aging
Cross-sectional proxy failed to predict longitudinal observations, R2
0.018%
P = 0.67
Original publication
Cross-sectionally Calculated Metabolic Aging Does Not Relate to Longitudinal Metabolic Changes—Support for Stratified Aging Models. J Clin Endocrinol Metab. Published 20 January 2023. doi:10.
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