Are Wearable Sleep-Tracking Devices Reliable Alternatives to Polysomnography? A Systematic Review and Meta-Analysis.
Margarida Agostinho, Maria Borges, Telmo Pereira et al.
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In 30 seconds
This systematic review and meta-analysis assessed wearable sleep trackers against simultaneous laboratory polysomnography (PSG) in healthy adults. Sixteen studies met the inclusion criteria, with ten contributing to pooled analyses of sleep duration, latency, efficiency, wake after sleep onset, and sleep-stage durations. Wearables tended to overestimate total sleep time and sleep efficiency and underestimate wake after sleep onset, with substantial variability across devices. No device performed consistently best. The authors conclude that wearables may complement PSG for population monitoring and longitudinal self-tracking, but are not established as stand-alone diagnostic tools or for detailed sleep-stage characterization.
Key findings
- Sixteen studies were included in the review; ten contributed to the meta-analysis.
- Wearables overestimated total sleep time and sleep efficiency and underestimated wake after sleep onset.
- Performance varied substantially between devices, and no device showed consistently superior agreement with PSG.
- Individual studies found closest agreement for Oura Ring (third generation) on sleep latency and efficiency, and selected Fitbit models on deep and REM sleep.
Why it matters
Wearables offer a potentially scalable way to monitor sleep outside the laboratory, but their estimates are not interchangeable with PSG across devices or metrics. Understanding these differences helps clinicians interpret consumer-device data cautiously, particularly when sleep-stage detail or diagnostic accuracy is important.
What to keep in mind
The evidence was limited by methodological heterogeneity, variable device performance, and risk-of-bias considerations; only ten of the sixteen included studies contributed to the meta-analysis.