Weighted Pace of Aging derived in older Swedish twins
The abstract describes a weighted Pace of Aging (wPoA) built from up to nine waves of biomarker data in older Swedish twins, with weights based on time to death; it correlated modestly with established biological age predictors. [1]
Automatic summary · not editorially reviewed
The key findings
The abstract says the original Dunedin Pace of Aging weights all biomarkers equally and came from a young cohort with limited mortality follow-up. [1]
The weighted Pace of Aging was built from up to nine waves of biomarker data in older Swedish twins, with weights based on time to mortality. [1]
The abstract reports modest correlations with all considered predictors, suggesting each measure captures distinct aspects of biological aging. [1]
The source at a glance
- Study type / format
- Abstract of a longitudinal cohort modeling study
- Population / context
- Older adults in the Swedish Adoption/Twin Study of Aging cohort
- Summary based on
- Study abstract
- Original publication
- September 1, 2026
Why a weighted Pace of Aging was proposed
The abstract states that quantifying the rate of aging matters for understanding age-related physiological decline and predicting late-life outcomes. The original Dunedin Pace of Aging models longitudinal biomarker changes but weights all biomarkers equally and came from a young cohort with limited mortality follow-up. According to the abstract, this limits its use in older populations and where biomarker relevance is uncertain.
Supporting source [1]
Biomarker slopes weighted by time to death
The abstract reports that the weighted Pace of Aging (wPoA) was developed with data from the Swedish Adoption/Twin Study of Aging, a longitudinal cohort of older adults with up to nine waves of biomarker data over three decades. Using mixed-effects models, the authors estimated individual random intercepts and slopes for 10 biomarkers and weighted these random effects by their association with time to mortality. This mortality-informed weighting is described as what distinguishes wPoA from the original Dunedin measure.
Supporting source [1]
Modest correlations with biological age predictors
The abstract states that wPoA correlated positively with established biological age predictors and more strongly with low-dimensional predictors such as the Functional Aging Index and the Frailty Index. It adds that correlations across all considered predictors were modest, which the authors interpret as each measure capturing distinct aspects of biological aging. The abstract presents wPoA as a foundation for future single-timepoint surrogates usable where rich longitudinal data are lacking.
Supporting source [1]
How to interpret this
This is an abstract only; the full text was not reviewed. Design details, sample size, follow-up and effect sizes beyond those stated are not reported here, and the correlations are associations, not evidence of causation or of lifespan benefit.
Based on the study abstract; the full paper, tables and supplementary data were not reviewed.
Source & supporting passages
Sluiskes MH, Deelen J, Putter H, Hägg S, Rodríguez-Girondo M. · europepmc.org · September 1, 2026