Aging measures and cancer in the Health and Retirement Study (HRS)
Shuo Wang,
Anna Prizment (),
Puleng Moshele,
Sithara Vivek,
Weihua Guan,
Anne H. Blaes,
Heather H. Nelson and
Bharat Thyagarajan
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Shuo Wang: University of Minnesota
Anna Prizment: University of Minnesota
Puleng Moshele: University of Minnesota
Sithara Vivek: University of Minnesota
Weihua Guan: University of Minnesota
Anne H. Blaes: University of Minnesota
Heather H. Nelson: University of Minnesota
Bharat Thyagarajan: University of Minnesota
Nature Communications, 2025, vol. 16, issue 1, 1-11
Abstract:
Abstract Cancer survivors may have higher biological age (BA) than cancer-free persons (controls). In HRS, we examined the associations of BA with cancer prevalence and mortality. BA was estimated by the Klemera and Doubal method (KDM-BA), phenotypic age (PhenoAge), and subjective age (SA) among 946 cancer survivors and 4555 controls; and by epigenetic clocks (Horvath, Hannum, Levine, GrimAge, Zhang Score (ZS), and methylation-based pace of aging (mPOA)) among 582 cancer survivors and 2805 controls. Age acceleration is estimated as residuals regressed on chronological age. There are significant multivariable associations with cancer prevalence for Hannum, GrimAge, and SA, and ZS (logistic regression), and with mortality for PhenoAge, Hannum, Levine, GrimAge, and ZS in cancer survivors, and for KDM-BA, PhenoAge, and ZS in controls (Cox regression). The strongest association in cancer survivors is for GrimAge (HR per 1 SD = 1.80, p
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-60913-z
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DOI: 10.1038/s41467-025-60913-z
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