ArticleSleep2025
Insights about travel-related sleep disruption from 1.5 million nights of data.
Article in Sleep, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- DELTA: Strengthening human biological resilience with an N=1 digital health and dynamic biomarker protocol.PloS one · 2026Trial
- Article
- Sexsomnia - a detailed approach to evaluation.Frontiers in sleep · 2026Review
- Unobtrusive inference of diurnal rhythms from smartphone data.NPJ digital medicine · 2025Review
- Smart Ring in Clinical Medicine: A Systematic Review.Biomimetics (Basel, Switzerland) · 2025Review
- Article
- Around the world in 1.5 million nights.Sleep · 2025Article
- A narrative review on in-flight use of consumer sleep technologies for aviation research.Sleep advances : a journal of the Sleep Research Society · 2025Review
Corrections and comments
- Commented on by
Authors and funding
4 authors.
Funding
Abstract
STUDY
objectivesThe growing adoption of reliable wearable sleep trackers has made it possible to analyze multi-night, objective sleep data from travelers on a scale hitherto not possible. This study was designed to complement previous studies of jet lag and circadian re-alignment conducted under highly controlled laboratory conditions and small-scale field studies typically involving specialist samples such as professional athletes.
methodsDe-identified sleep data from 15 days before and after 64 847 trips from 57 240 Oura Ring users were analyzed. Trips were at least 1000 km and originated from North America and Europe. We characterized the evolution of sleep timing, duration, and macro-architecture, considering the influence of number of time zones crossed, direction of travel, and habitual sleep patterns.
resultsSleep disruption began with curtailed sleep on the night before travel because of early awakening. Sleep duration was shorter during and immediately following travel but returned to within ~12 minutes of baseline after ~2 days. In contrast, changes in sleep timing and sleep architecture were considerably slower to recover, with sleep timing not returning to baseline after 15 days. Sleep disruption was more severe with eastward travel and across more time zones. Interindividual differences in both sleep duration and timing equilibrated with travel.
conclusionsBoth structural and intrinsic circadian factors influence sleep during travel. Sleep homeostatic mechanisms drive recovery of sleep duration quickly although architecture is still compromised. Re-alignment of sleep timing to the new time zone takes significantly longer.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.