Evidence map›Paper›PMID 42563072›Full record

ArticleGeroScience2026

Prioritizing clinical utility to use allostatic load as a biomarker of the consequences of stress.

Zoe L Walts, Melissa Rosenkranz, Anne D Letocha, Amy Cochran, Amy Trentham-Dietz, Martha J Shrubsole, Shaneda Warren Andersen

Abstract read
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In one paragraph

Article in GeroScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Zoe L WaltsDepartment of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, 610 Walnut St, WARF Office Building, Suite 1007B, Madison, WI, USA.ORCID http://orcid.org/0009-0005-1566-8833
Melissa RosenkranzDepartment of Psychiatry, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA.ORCID http://orcid.org/0000-0001-8432-9011
Anne D LetochaSchool of Nursing, University of Wisconsin-Madison, Madison, WI, USA.ORCID http://orcid.org/0000-0002-4169-8287
Amy CochranDepartment of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, 610 Walnut St, WARF Office Building, Suite 1007B, Madison, WI, USA.ORCID http://orcid.org/0000-0001-6024-796X
Amy Trentham-DietzDepartment of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, 610 Walnut St, WARF Office Building, Suite 1007B, Madison, WI, USA.ORCID http://orcid.org/0000-0002-5971-4660
Martha J ShrubsoleVanderbilt-Ingram Cancer Center, Nashville, TN, USA.ORCID http://orcid.org/0000-0002-5591-7575
Shaneda Warren AndersenDepartment of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, 610 Walnut St, WARF Office Building, Suite 1007B, Madison, WI, USA. snandersen@wisc.edu.ORCID http://orcid.org/0000-0001-7581-7224

Funding

University of Wisconsin Institute for Clinical and Translational ResearchUL1TR002373 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI ELIZABETH S BURNSIDE, Allan R. Brasier · 2017 to 2026
$75.9M
Division of Cancer Epidemiology and Genetics, National Cancer Institute R01 CA255318Division of Cancer Epidemiology and Genetics, National Cancer Institute U01CA202979NCATS NIH HHS UL1TR002373University of Wisconsin Carbone Cancer Center P30CA014520-UW
6 · The paper itself

Abstract

Allostatic load measures the physiological consequences of stress and is associated with disease outcomes. Clinical use of allostatic load is limited, in part, because its calculation requires biomarkers not routinely measured in clinical care. Presently, we evaluated associations between high allostatic load and depression as co-occurring consequences of stress among a cohort representing population subgroups largely excluded from existing literature. We emphasize clinical implementation potential by employing both an established and a recent consensus streamlined allostatic load score. Data arise from a nested case-control study within the Southern Community Cohort Study (N = 982); 72% self-identified as Black, 61% reported income < $15,000. At baseline, participants completed surveys and provided blood samples analyzed for immune, metabolic, and cardiovascular biomarkers. Biomarkers exceeding clinical cutoffs were summed; counts above median indicated high allostatic load. Established and streamlined scores include 10 (albumin, C-reactive protein, estimated creatinine clearance, BMI, HbA1C, homocysteine, systolic and diastolic blood pressure, total cholesterol, triglycerides) and a subset of 5 biomarkers, respectively. Logistic regression models assessed cross-sectional associations between depression and allostatic load at study entry (odds ratios [OR], 95% confidence intervals [CI]). Established and streamlined scores demonstrated 88% agreement in identifying high allostatic load. Depression was associated with high allostatic load using both scores (established: OR: 1.37, 95%CI: 1.02-1.86; streamlined: OR: 1.39, 95%CI: 1.03-1.87). Associations remained in sex, race, and CRC-status stratified analyses. Robust associations were observed between depression, as a proxy measure of stress, with high allostatic load, supporting its validity as a clinically actionable biomarker of physiological and psychological dysregulation within an understudied population. Implementing the streamlined score may increase feasibility of allostatic load as a clinical indicator of stress.

Indexed as

Allostatic loadCross-sectional studyDepressionSocial determinants of health

Identifiers

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Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.