Cardiometabolic biomarker domains and functional ageing: Cross-cohort evidence for incident mobility limitation

Xing Cheng1, Xiaobo Wang2, Huiling Zhong3

  • 1Department of Orthopedics I, Fogang County People's Hospital, 511600, Qingyuan, China; Department of Spine Surgery, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, 510080, Guangzhou, China.

Insights

Cardiometabolic biomarkers, especially glycaemic dysfunction, are linked to new mobility limitations in older adults. A simple biomarker score shows a relevant but incomplete association with functional aging risk.

Area of Science:

  • Gerontology
  • Cardiology
  • Metabolic Health

Background:

  • Cardiometabolic dysfunction is a potential contributor to functional aging.
  • Consistent associations between biomarker domains and mobility limitation across diverse aging populations are not well-established.

Purpose of the Study:

  • To investigate the association between cardiometabolic biomarkers and incident mobility limitation in three large, longitudinal aging cohorts.
  • To evaluate a simple biomarker-burden score for predicting mobility limitation.

Main Methods:

  • Utilized data from the English Longitudinal Study of Ageing (ELSA), China Health and Retirement Longitudinal Study (CHARLS), and Health and Retirement Study (HRS).
  • Defined incident mobility limitation as new difficulty in physical functioning. Analyzed associations using modified Poisson regression.
  • Developed and tested a biomarker score (systolic blood pressure, HbA1c, HDL cholesterol, C-reactive protein) across cohorts.

Main Results:

  • Included 13,650 participants; glycaemic markers demonstrated the most consistent associations with mobility limitation.
  • The biomarker score was associated with incident mobility limitation across all three cohorts (RR 1.31 in ELSA, 1.07 in CHARLS, 1.08 in HRS per 1-SD increase).
  • Findings were robust to stricter mobility definitions and multiple imputation, though objective performance and medication analyses showed heterogeneity.

Conclusions:

  • Cardiometabolic biomarkers, particularly glycaemic dysfunction, are reproducibly associated with increased risk of mobility limitation.
  • A simple biomarker-burden score identifies a significant but incomplete aspect of functional aging risk.
Abstract