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Allostatic load as predictor of mortality: a cohort study from Lolland-Falster, Denmark
Neda Esmailzadeh Bruun-Rasmussen1, George Napolitano2, Christian Christiansen3
1Centre for Epidemiological Research, Nykobing Falster Hospital, Nykobing, Denmark neebruun@gmail.com.
Insights
Higher allostatic load (AL), a measure of physiological burden across multiple systems, significantly increases all-cause mortality risk. This comprehensive biomarker index proved more predictive of mortality than individual health markers.
Area of Science:
- Gerontology and Public Health
- Biomarker Research
- Epidemiology
Background:
- Allostatic load (AL) reflects the cumulative wear and tear on the body from chronic stress.
- Understanding the relationship between AL and mortality is crucial for public health interventions.
- Individual biomarkers may not fully capture the complex physiological burden associated with mortality risk.
Purpose of the Study:
- To investigate the association between 10 individual biomarkers and all-cause mortality.
- To determine the relationship between allostatic load (AL) across cardiovascular, inflammatory, and metabolic systems and all-cause mortality.
Main Methods:
- A prospective cohort study utilizing data from the Lolland-Falster Health Study (2016-2020).
- Analysis included 13,725 adults, assessing 10 biomarkers (SBP, DBP, PR, WHR, LDL-c, HDL-c, triglycerides, HbA1c, CRP, albumin).
- Allostatic load index was calculated, and Cox proportional hazard regression analyzed associations with mortality over a 2.6-year follow-up.
Main Results:
- All-cause mortality demonstrated a clear increase with rising allostatic load index.
- Individuals with high AL index had a hazard ratio (HR) of 2.37 (95% CI: 1.58–3.54) for mortality compared to those with low AL.
- Mid AL index also showed an increased mortality risk with an HR of 1.33 (95% CI: 0.89–1.98).
Conclusions:
- Elevated physiological burden, as measured by mid and high allostatic load index, is significantly associated with increased all-cause mortality.
- The allostatic load index is a more potent predictor of mortality than individual biomarkers.
- These findings highlight the importance of assessing cumulative physiological stress for risk stratification and health management.
Objectives:
The purposes of the present study were to determine the association between (1) 10 individual biomarkers and all-cause mortality; and between (2) allostatic load (AL), across three physiological systems (cardiovascular, inflammatory, metabolic) and all-cause mortality.
Design:
Prospective cohort study.
Setting:
We used data from the Lolland-Falster Health Study undertaken in Denmark in 2016-2020 and used data on systolic blood pressure (SBP) and diastolic blood pressure (DBP), pulse rate (PR), waist-hip ratio (WHR) and levels of low-density lipoprotein cholesterol (LDL-c), high-density lipoprotein cholesterol (HDL-c), triglycerides, glycated haemoglobin A1c (HbA1c), C-reactive protein (CRP) and serum albumin. All biomarkers were divided into quartiles with high-risk values defined as those in the highest (PR, WHR, triglycerides, HbA1c, CRP) or lowest (HDL-c, albumin) quartile, or a combination hereof (LDL-c, SBP, DBP). The 10 biomarkers were combined into a summary measure of AL index. Participants were followed-up for death for an average of 2.6 years.
Participants:
We examined a total of 13 725 individuals aged 18+ years.
Primary Outcome Measure:
Cox proportional hazard regression (HR) analysis were performed to examine the association between AL index and mortality in men and women.
Results:
All-cause mortality increased with increasing AL index. With low AL index as reference, the HR was 1.33 (95% CI: 0.89 to 1.98) for mid AL, and HR 2.37 (95% CI: 1.58 to 3.54) for high AL.
Conclusions:
Elevated physiological burden measured by mid and high AL index was associated with a steeper increase of mortality than individual biomarkers.
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