By COLIN LAWLOR
A patient comes in for an ordinary primary care appointment. The nurse runs through the usual checklist: temperature, blood pressure, pulse, weight, sometimes pulse oximetry. Sleep probably won’t come up. If it does, it will be a side note, and if the patient says, “not great,” what often follows is a brief look of sympathy and the familiar advice to relax a bit before bed.
That is, more or less, what sleep looks like in the most common diagnostic interaction in American medicine. Don’t worry, it is not much, if any better in any other country. The other vitals get numbers, while sleep gets small talk. Calling this a minor gap misses the point.
What the Evidence Says
Sleep sits among the strongest behavioral and physiological predictors we have for chronic illness, cognitive decline, mental health outcomes, and burnout.
Work out of Stanford recently showed that just one night of sleep data (admittedly from a hospital sleep lab), processed by a foundation model called SleepFM, could flag elevated risk across 130 disease categories with high accuracy. The outcomes on that list are not trivial and include all-cause mortality, dementia, myocardial infarction, and heart failure.
A 2025 umbrella review that pooled 29 systematic reviews found two-way, physiologically mediated links between sleep and depression, anxiety, plus a long catalog of cardiometabolic conditions.
And researchers at Washington State University published what is, so far, the longest objective description of sleep in chronic insomnia. Eight weeks of continuous, in-home measurement pointed to something clinicians have struggled to capture for years: night-to-night swings in sleep efficiency, sleep latency, and intermittent wakefulness are central to the condition. Sleep diaries and one-night lab studies kept missing that pattern.
The clinical rationale for measuring sleep is settled, but what remains unclear is whether medicine intends to behave as if it believes its own evidence.
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