Allostatic load and progression of cardio-renal multimorbidity: A UK biobank study

Qianshen Zhu1, Lingling Xu2, Zhixing Fan3

  • 1Department of Nephrology, Traditional Chinese and Western Medicine Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Plos One
|January 6, 2026
PubMed

Insights

High allostatic load (AL), a measure of chronic stress, significantly increases the risk of developing cardio-renal multimorbidity (CRM). Identifying individuals with high AL can improve CRM prevention strategies.

Area of Science:

  • Cardiovascular and Renal Medicine
  • Physiology
  • Public Health

Background:

  • Cardio-renal multimorbidity (CRM), the co-occurrence of cardiovascular disease (CVD) and chronic kidney disease (CKD), presents a substantial public health challenge.
  • Allostatic load (AL), reflecting cumulative physiological strain from chronic stress, is a potential modifiable risk factor for CRM.

Purpose of the Study:

  • To investigate the association between allostatic load (AL) and the development and progression of cardio-renal multimorbidity (CRM).
  • To examine the impact of AL on transitions between health, cardio-renal diseases, and mortality.

Main Methods:

  • Analysis of data from 396,927 participants with a median follow-up of 13.67 years.
  • Assessment of AL using 10 biomarkers.
  • Application of multistate models to analyze health transitions to first cardio-renal disease (FCRD), CRM, and death.

Main Results:

  • Elevated AL levels were significantly linked to increased risks of progressing from health to FCRD, CRM, and mortality.
  • The transition from FCRD to CRM was notably influenced by high AL.
  • AL showed a stronger association with the progression to CKD than to CVD.
  • Associations were more pronounced in younger individuals, those with higher socioeconomic status, and those with unhealthy diets.

Conclusions:

  • Allostatic load (AL) is a critical upstream determinant in the development and progression of CRM.
  • Early identification of individuals with high AL is crucial for effective risk stratification and the implementation of preventative measures against CRM.
Abstract

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