Evidence map›Paper›PMID 34698137›Full record

ArticleClocks & sleep2021

Pilot Sleep Behavior across Time during Ultra-Long-Range Flights.

Jaime K Devine, Jake Choynowski, Caio R Garcia, Audrey S Simoes, Marina R Guelere, Bruno de Godoy, Diego S Silva, Philipe Pacheco, Steven R Hursh

Open access · goldAbstract read
In one paragraph

Article in Clocks & sleep, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 24% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 2 countries.

Jaime K DevineInstitutes for Behavior Resources, Inc., Baltimore, MD 21218, USA.ORCID 0000-0001-5016-6963
Jake ChoynowskiInstitutes for Behavior Resources, Inc., Baltimore, MD 21218, USA.
Caio R GarciaAzul Linhas Aéreas Brasileiras, 06460-040 Sao Paulo, Brazil.
Audrey S SimoesAzul Linhas Aéreas Brasileiras, 06460-040 Sao Paulo, Brazil.
Marina R GuelereAzul Linhas Aéreas Brasileiras, 06460-040 Sao Paulo, Brazil.
Bruno de GodoyAzul Linhas Aéreas Brasileiras, 06460-040 Sao Paulo, Brazil.
Diego S SilvaAzul Linhas Aéreas Brasileiras, 06460-040 Sao Paulo, Brazil.
Philipe PachecoAzul Linhas Aéreas Brasileiras, 06460-040 Sao Paulo, Brazil.
Steven R HurshInstitutes for Behavior Resources, Inc., Baltimore, MD 21218, USA.
Academia da Força Aérea · BRInstitutes for Behavior Resources · USJohns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fatigue risk to the pilot has been a deterrent for conducting direct flights longer than 12 h under normal conditions, but such flights were a necessity during the COVID-19 pandemic. Twenty (N = 20) pilots flying across five humanitarian missions between Brazil and China wore a sleep-tracking device (the Zulu watch), which has been validated for the estimation of sleep timing (sleep onset and offset), duration, efficiency, and sleep score (wake, interrupted, light, or deep Sleep) throughout the mission period. Pilots also reported sleep timing, duration, and subjective quality of their in-flight rest periods using a sleep diary. To our knowledge, this is the first report of commercial pilot sleep behavior during ultra-long-range operations under COVID-19 pandemic conditions. Moreover, these analyses provide an estimate of sleep score during in-flight sleep, which has not been reported previously in the literature.

Indexed as

aviationCOVID-19sleep durationsleep scoresleep timingtime zones

Identifiers

PMID34698137
PMCPMC8544349
OpenAlexW3200146425

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.