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<p>This study examined the associations of biological age accelerations (BAAs)—KDM-BA acceleration (via Klemera and Doubal's method) and PhenoAge acceleration (epigenetics-based), defined as residuals from regressing each biological age estimate on chronological age (CA)—with multimorbidity progression (measured by the Charlson Comorbidity Index, CCI), compared to CA. Utilizing UK Biobank data (n = 317,835; median follow-up: 13&#xa0;years), Cox regression models adjusted for sex, ethnicity, lifestyle, and socioeconomic factors showed that each 1-year increase in KDM-BA acceleration raised the risk of CCI progression by 9.9% (HR [95% CI]: 1.099 [1.094–1.104]) and in PhenoAge acceleration by 4.3% (HR [95% CI]: 1.043 [1.041–1.044]). Consistent results were found in subgroup, sensitivity, and restricted cubic spline analyses, with PhenoAge acceleration achieving the highest predictive performance (C-index = 0.6755) compared to KDM-BA acceleration (0.6734) and CA (0.6701). These findings support the use of BAAs as cost-effective tools for assessing the risk of multimorbidity progression.</p>

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Accelerated biological aging is associated with faster multimorbidity progression: a UK biobank study

  • 期刊论文

  • 发表日期：

    2026年4月7日

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  • Zhaoyu Wang,
  • Jiaojiao Liao,
  • Dongwei Fan,
  • Minyue Pei,
  • Zhaoji Li,
  • Qianqian Dai,
  • Hui Wang,
  • Nan Li,
  • Liyuan Tao

摘要

This study examined the associations of biological age accelerations (BAAs)—KDM-BA acceleration (via Klemera and Doubal's method) and PhenoAge acceleration (epigenetics-based), defined as residuals from regressing each biological age estimate on chronological age (CA)—with multimorbidity progression (measured by the Charlson Comorbidity Index, CCI), compared to CA. Utilizing UK Biobank data (n = 317,835; median follow-up: 13 years), Cox regression models adjusted for sex, ethnicity, lifestyle, and socioeconomic factors showed that each 1-year increase in KDM-BA acceleration raised the risk of CCI progression by 9.9% (HR [95% CI]: 1.099 [1.094–1.104]) and in PhenoAge acceleration by 4.3% (HR [95% CI]: 1.043 [1.041–1.044]). Consistent results were found in subgroup, sensitivity, and restricted cubic spline analyses, with PhenoAge acceleration achieving the highest predictive performance (C-index = 0.6755) compared to KDM-BA acceleration (0.6734) and CA (0.6701). These findings support the use of BAAs as cost-effective tools for assessing the risk of multimorbidity progression.