Key result
Depression is linked to ~37% higher odds of high allostatic load.
Why the study?
Clinical use of allostatic load is limited because calculation requires biomarkers not routinely measured, and population subgroups have been largely excluded from existing literature.
Is high allostatic load associated with depression in a predominantly Black, low-income cohort?
Case-Control (n=982)
Is high allostatic load associated with depression in a predominantly Black, low-income cohort?
A streamlined 5-biomarker allostatic load score performs similarly to an established 10-biomarker score in identifying high allostatic load associated with depression, increasing its feasibility for clinical use.
Answers are grounded in this paper and cite their sources.
High allostatic load was associated with depression in underrepresented subgroups; hypothesis-generating and should not yet change practice.
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.
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Walts et al. (2026) conducted a case-control in Depression and high allostatic load (n=982). Depression vs. No depression was evaluated on High allostatic load (established score) (OR 1.37, 95% CI 1.02-1.86). Depression was significantly associated with high allostatic load using both established (OR 1.37; 95% CI 1.02-1.86) and streamlined (OR 1.39; 95% CI 1.03-1.87) scores.
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