Advanced biological aging may increase the risk of OA, independent of OA genetic risk, particularly in individuals aged over 60 years, with PhenoAge acceleration associated with higher odds and incidence of OA while KDMAge acceleration showed cross-sectional but not longitudinal associations.
Key Findings
Results
Accelerated PhenoAge was associated with higher odds of prevalent osteoarthritis in cross-sectional analyses.
Odds ratio for PhenoAge acceleration and OA prevalence: 1.12 (95% CI: 1.09–1.14)
Odds ratio for KDMAge acceleration and OA prevalence: 1.05 (95% CI: 1.03–1.08)
Both associations were statistically significant in cross-sectional logistic regression models
Sample included 332,261 participants from UK Biobank
Results
Accelerated PhenoAge was associated with a higher risk of incident osteoarthritis in longitudinal analyses, but KDMAge acceleration was not.
Hazard ratio for PhenoAge acceleration and incident OA: 1.12 (95% CI: 1.10–1.15)
Hazard ratio for KDMAge acceleration and incident OA: 0.99 (95% CI: 0.97–1.01), which was not statistically significant
Cox regression models were used for longitudinal analyses
The divergence between cross-sectional and longitudinal results for KDMAge suggests the two measures capture different biological aging dimensions
Results
Accelerated biological aging showed a more pronounced association with osteoarthritis among individuals over 60 years of age.
Age-stratified analyses revealed stronger associations in participants older than 60 years
This age-dependent pattern was observed for both biological aging indicators
The finding suggests older individuals may be particularly vulnerable to the OA risk conferred by accelerated biological aging
Results
No additive or multiplicative interactions were found between OA polygenic risk score (PRS) and biological aging acceleration.
Both additive and multiplicative interaction models were tested between OA PRS and biological aging measures
The absence of interaction indicates that the association between biological aging and OA risk is independent of genetic predisposition to OA
This suggests biological aging and genetic risk operate through separate pathways in contributing to OA risk
Methods
At baseline, the majority of included participants had younger PhenoAge aging acceleration.
55.4% of included individuals had younger PhenoAge aging acceleration at baseline
PhenoAge was computed from chronological age and nine clinical biomarkers to gauge mortality risk
KDMAge was derived from nine clinical biomarkers to gauge system integrity decline
Biological aging accelerations were computed as residuals from regressing KDMAge and PhenoAge against chronological age
Methods
Two distinct biological aging measures, PhenoAge and KDMAge, were used and showed partially divergent associations with osteoarthritis.
PhenoAge uses chronological age plus nine clinical biomarkers and is designed to gauge mortality risk
KDMAge uses nine clinical biomarkers to gauge system integrity decline, without directly incorporating chronological age in the same way
Both measures showed significant cross-sectional associations with OA, but only PhenoAge showed a significant longitudinal association
The authors suggest both indicators 'hold potential as novel composite clinical biomarkers, directing prevention and intervention strategies for high-risk populations for OA'
What This Means
This research suggests that people whose bodies are aging faster than expected biologically — as measured by two different biological age clocks — are more likely to have osteoarthritis (OA), the most common joint disease. Using data from over 332,000 UK Biobank participants, researchers compared biological age (estimated from blood and clinical test results) to chronological age to identify who was aging faster or slower than typical. They found that people with accelerated biological aging were about 5–12% more likely to have OA at the time of the study, and those with faster aging as measured by one clock (PhenoAge) were 12% more likely to develop new OA over time. Importantly, these associations held up even after accounting for people's genetic predisposition to OA, meaning biological aging and genetics seem to independently raise OA risk.
The study also found that the link between faster biological aging and OA was especially strong in people over 60 years old, suggesting that managing biological aging might be particularly important for older adults. Two different biological age calculators were used — PhenoAge and KDMAge — and while both were linked to existing OA, only PhenoAge consistently predicted who would develop OA in the future. This difference suggests the two clocks may capture slightly different aspects of aging.
This research suggests that biological age measurements, which can be derived from routine clinical blood tests, could potentially serve as useful tools for identifying people at higher risk of developing osteoarthritis before symptoms appear. If biological aging can be slowed or reversed through lifestyle changes or medical interventions, this could represent a new avenue for reducing OA risk, though this study only establishes an association and does not prove that slowing biological aging would prevent OA.
Liu S, Wang W, Li C, Lai Y, Zhou Z, Han M, et al.. (2026). Cross-Sectional and Longitudinal Association Between Biological Aging Acceleration and the Risk of Osteoarthritis: A Cohort Study From UK Biobank.. International journal of rheumatic diseases. https://doi.org/10.1111/1756-185x.70853