Can my wearable tell me whether I have a sleep disorder?

Wearables can be useful, particularly when they help someone notice patterns across time.

Depending on the device and how it has been validated, potentially useful information may include:

• Approximate sleep and wake timing
• Changes in sleep duration
• Day-to-day regularity
• Resting heart rate trends
• Activity and recovery patterns
• Relationships between schedule, behavior, travel, illness, and sleep

The most visually impressive metric is not always the most trustworthy. Consumer devices estimate sleep from signals such as movement, heart rate, temperature, and oxygen-related measurements. They do not measure sleep in exactly the same way as clinical polysomnography.

Sleep-stage estimates, readiness scores, and proprietary composite scores should therefore be interpreted cautiously. A score can change because of the device, the algorithm, missing data, illness, alcohol, travel, exercise, or factors the user cannot see.

A wearable also cannot independently determine whether someone has chronic insomnia, obstructive sleep apnea, a circadian rhythm disorder, narcolepsy, restless legs syndrome, or another condition.

The best use of wearable data is often pattern recognition:

• What changed?
• Is the pattern repeated?
• Does it match how the person feels and functions?
• Is the measurement helping with a decision?
• Would another form of assessment answer the question better?

More tracking is not always better. If a nightly score increases anxiety, drives repeated checking, or makes someone distrust how they feel, reducing attention to the score may be clinically useful.

Bring concerning trends to an appropriate healthcare professional rather than trying to diagnose the problem from the device alone.