ArticleBMJ open2022
Allostatic load as predictor of mortality: a cohort study from Lolland-Falster, Denmark.
Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- A systematic review and empiric examination of the conceptual and analytic overlap between allostatic load and multimorbidity.SSM - population health · 2026Article
- Integration of lung function in allostatic load scoring and its impact on mortality prediction.Scientific reports · 2026Article
- Disparities in Allostatic Load Among Different Races: A Comprehensive Scoping Review.Journal of racial and ethnic health disparities · 2025Review
- Intersecting race/ethnicity and gender in physiological dysregulation profiles and associations with socioeconomic status among older adults in the United States.SSM - population health · 2025Article
- Correlation between allostatic load index and cumulative mortality: a register-based study of Danish municipalities.BMJ open · 2024Article
- Self-Reported Health as Predictor of Allostatic Load and All-Cause Mortality: Findings From the Lolland-Falster Health Study.International journal of public health · 2024Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThe 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.
designProspective cohort study.
settingWe 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.
participantsWe 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.
resultsAll-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.
conclusionsElevated physiological burden measured by mid and high AL index was associated with a steeper increase of mortality than individual biomarkers.
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