Biological age acceleration, longitudinal change and mortality risk in the Dutch Lifelines cohort

Accelerated biological aging has been associated with mortality, but it remains unclear whether longitudinal changes in age acceleration predict long-term mortality risk. In the population-based Dutch Lifelines cohort, we estimated biological age using the Klemera-Doubal method (KDM-BA) and derived KDM-BA acceleration at baseline and follow-up. We examined baseline acceleration (continuous and categorical: < - 1, - 1 to 1 [reference], > 1 year), annual change in acceleration and four aging trajectory groups. Associations with all-cause mortality were assessed using Cox models adjusted for age, sex, socioeconomic status and lifestyle factors. Among 90,632 participants (3,976 deaths; median follow-up 13.8 years), higher baseline KDM-BA acceleration was associated with higher mortality (HR per 1-year increase = 1.07; 95% CI: 1.06-1.08); acceleration > 1 year predicted higher mortality risk (HR = 1.31; 95% CI: 1.21-1.42) compared with - 1 to 1 years. Among 25,752 participants with repeated assessments (879 deaths; median baseline-to-follow-up 4.3 years), a greater annual increase in acceleration was associated with higher mortality (HR per 1-year/year increase = 1.21; 95% CI: 1.07-1.37), and persistent accelerated aging showed the highest risk (HR = 1.39; 95% CI: 1.19-1.62) compared with stable non-accelerated aging. Higher baseline KDM-BA acceleration and worsening acceleration over time were associated with higher long-term all-cause mortality, supporting repeated clinical assessment to monitor biological aging in population settings.

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Publication Details

Journal
GeroScience
Published
2026-04-14
DOI
https://doi.org/10.1007/s11357-026-02241-8
Primary Topic
Genetics, Aging, and Longevity in Model Organisms
Type
article
Field-Weighted Citation Impact
0.00

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article

Biological age acceleration, longitudinal change and mortality risk in the Dutch Lifelines cohort

Judith M. Vonk, Shanshan Zuo, Tim van Zutphen, Juan Carlos Rivillas
GeroScience
Genetics, Aging, and Longevity in Model Organisms
article

Biological age acceleration, longitudinal change and mortality risk in the Dutch Lifelines cohort

Judith M. Vonk, Shanshan Zuo, Tim van Zutphen, Juan Carlos Rivillas
article en

Abstract

Accelerated biological aging has been associated with mortality, but it remains unclear whether longitudinal changes in age acceleration predict long-term mortality risk. In the population-based Dutch Lifelines cohort, we estimated biological age using the Klemera-Doubal method (KDM-BA) and derived KDM-BA acceleration at baseline and follow-up. We examined baseline acceleration (continuous and categorical: < - 1, - 1 to 1 [reference], > 1 year), annual change in acceleration and four aging trajectory groups. Associations with all-cause mortality were assessed using Cox models adjusted for age, sex, socioeconomic status and lifestyle factors. Among 90,632 participants (3,976 deaths; median follow-up 13.8 years), higher baseline KDM-BA acceleration was associated with higher mortality (HR per 1-year increase = 1.07; 95% CI: 1.06-1.08); acceleration > 1 year predicted higher mortality risk (HR = 1.31; 95% CI: 1.21-1.42) compared with - 1 to 1 years. Among 25,752 participants with repeated assessments (879 deaths; median baseline-to-follow-up 4.3 years), a greater annual increase in acceleration was associated with higher mortality (HR per 1-year/year increase = 1.21; 95% CI: 1.07-1.37), and persistent accelerated aging showed the highest risk (HR = 1.39; 95% CI: 1.19-1.62) compared with stable non-accelerated aging. Higher baseline KDM-BA acceleration and worsening acceleration over time were associated with higher long-term all-cause mortality, supporting repeated clinical assessment to monitor biological aging in population settings.

GeroScience
University Medical Center Groningen (NL), University of Groningen (NL), Fryske Akademy (NL), Imperial College London (GB)
Rijksuniversiteit Groningen, Ministerie van Volksgezondheid, Welzijn en Sport, Ministerie van Economische Zaken, Universitair Medisch Centrum Groningen
Good health and well-being
Openalex Percentile: Top 22%
Genetics, Aging, and Longevity in Model Organisms
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