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Research Briefing · Autonomic Regulation

Allostatic Overload and Brain Fog: What the Evidence Shows

Researchers describe a process, allostatic load, that may be part of brain fog, but no single marker can diagnose burnout. Here is what the research shows, where it comes from, and the limits that most articles leave out.

The Capio Initiative9 min read3 peer-reviewed sources
Abstract illustration of a head enveloped in haze with faint glowing lines beneath it, representing allostatic overload and brain fog

You forget a name thirty seconds after hearing it. You lose the thread of your own sentence mid-way through. You sleep a full night and wake as tired as when you went to bed. Somewhere along the line you started calling this “just being busy.”

It is not a character problem. Allostatic overload and brain fog describe what happens when the system managing your stress response stops keeping pace with the demand placed on it. Researchers study parts of that process using markers they can measure, though none of them can diagnose burnout on its own.

If losing your train of thought mid-sentence is the part you recognise most, our reflection on what three papers do and don't show about mind wandering, awareness and stress looks at that experience.

What allostatic load means

Allostasis is the body’s continuous work of staying stable while conditions change: adjusting heart rate, cortisol, glucose and inflammatory signalling minute by minute. Allostatic load is the cumulative cost of doing that work without adequate recovery.

The World Health Organization classifies burnout in the ICD-11 as a syndrome resulting from chronic workplace stress that has not been successfully managed. That places it as a factor affecting health status rather than a standalone illness, but classification says nothing about whether the underlying biology matters. For some of the most direct evidence of that, including MRI-measured structural brain changes in one Swedish study and how much of them reversed, see our piece on cortical thinning and burnout.

What those authors contributed was parsimony. They found that an index of five biomarkers available across every cohort (C-reactive protein, resting heart rate, HDL cholesterol, waist-to-height ratio and HbA1c) predicted mortality “as well or better than more elaborate sets of biomarkers.” Five markers, not a long panel.

McCrory C, et al. Towards a consensus definition of allostatic load: a multi-cohort, multi-system, multi-biomarker IPD meta-analysis. Psychoneuroendocrinology. 2023;153:106117. doi:10.1016/j.psyneuen.2023.106117

The vagus nerve and the cardiovagal brake

Your autonomic nervous system runs two opposing branches: the sympathetic, which accelerates, and the parasympathetic, carried largely by the vagus nerve, which brakes. We go deeper on this mechanism, including its direct role in inflammation, in our piece on the vagus nerve and the cholinergic anti-inflammatory reflex.

Heart rate variability is the most accessible window into that balance. It measures small variations in timing between consecutive heartbeats. Counter-intuitively, more variation is generally healthier: it indicates a responsive braking system. A metronome-steady heart rate suggests the brake has stopped engaging.

Kane and colleagues at the University of Aberdeen conducted a preregistered systematic review and meta-analysis of continuous 24-hour HRV monitoring in doctors, published in Occupational Medicine in 2025. From 805 records they identified seven eligible studies totalling 176 participants across seven countries.

ParameterStudiesnHedges gPI²
SDNN463−1.050.00164%
RMSSD343−0.630.0050%
LF/HF ratio2330.690.0060%
LF3430.540.010%
HF343−0.240.28 (not significant)5%

Highlighted row: high-frequency HRV, the parameter most specifically reflecting parasympathetic activity, showed no statistically significant change between stress and recovery.

Two findings there deserve attention that you will rarely see quoted. High-frequency HRV showed no significant change. And the largest effect came with the widest uncertainty: SDNN produced the strongest result but also the only substantial heterogeneity in the set.

Kane L, Powell D, Martin KR, Rees C, Curran J, Ball D. Continuous heart rate variability monitoring, stress and recovery in doctors: a systematic review and meta-analysis. Occupational Medicine. 2025;75(9):630-639. doi:10.1093/occmed/kqaf101

What the researchers themselves say about the limits

This is the section most articles omit, and it is the most useful one here. The authors state their conclusion plainly:

It is not possible to draw any meaningful clinical conclusions.
Kane et al., Occupational Medicine, 2025

They add that “little is known about what the minimum meaningful clinical difference in HRV would need to be between stress and recovery to positively reduce burnout risk.” In other words: HRV detects the difference between a stressful shift and a rest day. It is not yet known how much your HRV would need to improve before your burnout risk falls.

Other limits worth knowing: the constituent studies ran from 2009 to 2018, every one used a different measurement device, monitoring lasted only 24 to 48 hours, and none was conducted in the UK.

Want the full evidence review?

Six biomarker systems, a reflective self-check, and what the research does and doesn’t show about each.

The population problem

Almost all of this research was conducted in clinicians. Anaesthetists, surgeons, obstetricians, emergency physicians. Search the burnout–HRV literature and the same populations appear repeatedly.

There are practical reasons. Hospitals are where researchers already work. Shift patterns create clean natural experiments with defined stress and recovery windows. And clinician burnout is a documented crisis: the 2023 UK General Medical Council survey of over 45,000 doctors found 66% of trainees and 52% of trainers reporting moderate to high burnout.

So what does that mean for a lawyer, a founder, an engineer, a parent running on empty?

The mechanisms (vagal withdrawal, cholinergic anti-inflammatory signalling, glucose dysregulation under sustained sympathetic drive) are general human physiology. They are not profession-specific. The magnitudes are another matter. A twelve-hour surgical rotation is not the same stressor as eighteen months of unrelenting deadline pressure, and it would be dishonest to pretend the effect sizes transfer cleanly.

The Kane authors note this themselves: their studies compared discrete high- and low-stress periods over 24 to 48 hours, whereas “chronic stress and recovery imbalances contributing to burnout are likely to accumulate over much longer periods of time.”

The metabolic link: HbA1c

HbA1c reflects average blood glucose over roughly three months. It is one of the five markers in McCrory’s short index, kept because it was consistently linked with health status across the cohorts they pooled. One proposed mechanism is that sustained sympathetic activation mobilises glucose for a physical response that never arrives, and that if this continues for months, regulation may drift. We go deeper on this marker, including what burnout-specific research found and where its limits are, in our HbA1c piece.

4.0% – 5.6%

Standard homeostatic range

≥ 5.7%

Threshold flagging metabolic dysregulation

If you encounter a figure below 4.0% quoted as a “target,” it is an error. Values that low sit outside normal human physiology.

What you can measure

You cannot manage what you have never looked at. Three markers are worth discussing at your next appointment: HRV, watched as a trend across weeks rather than any single night; HbA1c, a routine blood test; and CRP, a standard inflammatory marker and one of McCrory’s five.

None of these diagnoses burnout. There is no blood test for it: a 2026 systematic review of 111 studies concluded that the evidence does not support using biomarkers to diagnose burnout. HbA1c was among the most consistent markers in that review, although only seven studies looked at it, while results for CRP and HRV pointed in different directions across studies. What these markers can do is convert a vague sense of “I’m not right” into something with a trajectory that you and your doctor can watch over time.

Balia M, Zenasni F, Lepoittevin M, et al. Biological markers of burnout severity: a systematic review. Stress and Health. 2026;42(4):e70205. doi:10.1002/smi.70205

Start with a baseline

The Stress Biomarker Checklist

A 13-page evidence review covering six biomarker systems, a reflective self-check, and what the research does and doesn’t show about each. Free.

Start with the Self-Check on page 11. It takes about four minutes.

The Capio Initiative is an educational platform, not a medical practice. The biomarkers discussed here help explain stress physiology. None of them can diagnose burnout, and we never use them to diagnose anything. Speak with a qualified healthcare professional before changing anything about your recovery or your use of tracking devices.

The Capio Initiative seal, Biomarker Checklist Educational Edition 2026