Fatigue risk assessment for flight crews flying across time zones in different directions to the east or west during the COVID-19 pandemic in China.

Publication date: Dec 23, 2024

There is a lack of data support and scientific validation of the Exemption Approach policy for responding to the COVID-19 pandemic, in terms of protecting the health of flight crews and meeting the requirements for passenger and cargo transportation in emergencies, in terms of its safety and the circumstances that contribute to pilots’ symptoms of jet lag and the risk of fatigue. To assess pilots’ sleep issues related to jet lag symptoms and fatigue, this study evaluated an example of risk management for flight crews on flights across time zones during the COVID-19 pandemic. To evaluate the crew’s sleep status, variations in sleep index changes between before and after the flights, variations in sleepiness levels, and data on sleep indexes recorded by ActiGraph bracelets were collected from 146 crew members before and after flights eastward or westward across time zones. Sleepiness levels predicted by applying the SAFE model were also determined. Whether flying east or west across time zones, the crew’s sleep indexes were relatively similar at the end of a flight during a layover. However, a comparison with the pre-flight period showed that the sleep indexes of the crew were slightly more disturbed after the eastward flight compared with those after the westward one. In addition, the SAFE model predicted a higher rate of change in crew mean sleepiness levels between before and after the flight for the eastward flight than for the westward one; however, the Karolinska Sleepiness Score (KSS) of the pilots on either eastward or westward flights did not exceed 5 (“not alert or sleepy”). Flight crew adaptation to the Exemption Approach policy during the COVID-19 pandemic was assessed by evaluating the sleep problems of crews flying eastward or westward across time zones.

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Concepts Keywords
Bracelets Adult
China China
Pandemic COVID-19
Pilots COVID-19 pandemic
Sleepiness Crossing time zones
Fatigue
Fatigue risk assessment
Female
Humans
Jet lag
Jet Lag Syndrome
Male
Middle Aged
Pandemics
Pilot
Pilots
Risk Assessment
SARS-CoV-2

Semantics

Type Source Name
disease MESH COVID-19 pandemic
disease MESH emergencies
disease MESH jet lag
disease MESH sleepiness
pathway REACTOME Reproduction
drug DRUGBANK Coenzyme M
drug DRUGBANK Medical air
disease MESH infection
drug DRUGBANK Trestolone
disease MESH sleep disorders
disease MESH insomnia
disease MESH excessive daytime sleepiness
disease MESH psychiatric disorders
pathway KEGG Circadian rhythm
disease IDO facility
drug DRUGBANK Melatonin
disease MESH chronic fatigue syndrome
disease MESH depression
drug DRUGBANK Gold
disease IDO algorithm
drug DRUGBANK L-Valine
disease IDO process
drug DRUGBANK Indoleacetic acid
disease MESH sleep latency
drug DRUGBANK Clotiazepam
drug DRUGBANK Guanosine
disease MESH Circadian rhythm sleep disorders
pathway REACTOME Circadian Clock
drug DRUGBANK Atorvastatin
disease IDO history
disease MESH anxiety

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