Cargando…

Sleep Patterns of Pilots: An Objective Assessment

Objectives Circadian dysregulation (jetlag), sleep loss (extended wakefulness), sleep deprivation (acute or chronic), fatigue (exhaustion), preexisting medical and mental conditions, and medication use can all affect the cognitive and behavioral performance of commercial aircraft pilots. This study...

Descripción completa

Detalles Bibliográficos
Autores principales: Abdelaziz, Mohammed, Alhejaili, Faris, Alnouri, Loai, Samman, Abdulrahman, Alzehairi, Ahmed, Balkhyour, Mansour, Alsumrani, Ranya, Pandi-Perumal, Seithikurippu R, Wali, Siraj O
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cureus 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10292132/
https://www.ncbi.nlm.nih.gov/pubmed/37378186
http://dx.doi.org/10.7759/cureus.38983
_version_ 1785062823030685696
author Abdelaziz, Mohammed
Alhejaili, Faris
Alnouri, Loai
Samman, Abdulrahman
Alzehairi, Ahmed
Balkhyour, Mansour
Alsumrani, Ranya
Pandi-Perumal, Seithikurippu R
Wali, Siraj O
author_facet Abdelaziz, Mohammed
Alhejaili, Faris
Alnouri, Loai
Samman, Abdulrahman
Alzehairi, Ahmed
Balkhyour, Mansour
Alsumrani, Ranya
Pandi-Perumal, Seithikurippu R
Wali, Siraj O
author_sort Abdelaziz, Mohammed
collection PubMed
description Objectives Circadian dysregulation (jetlag), sleep loss (extended wakefulness), sleep deprivation (acute or chronic), fatigue (exhaustion), preexisting medical and mental conditions, and medication use can all affect the cognitive and behavioral performance of commercial aircraft pilots. This study evaluated the sleep habits of pilots and copilots flying short-haul flights in the Gulf region. Methods This cross-sectional study examined Airbus A320 pilots and copilots for one of Saudi Arabia’s commercial airlines. Data such as age, sex, body mass index (BMI), employment position, work experience, flight hours, and rest time were collected. Each participant completed the Epworth Sleepiness Scale (ESS) for daytime sleepiness, the Pittsburgh Sleep Quality Index (PSQI), and the Fatigue Severity Index (FSI). Actigraphy equipment was used to perform objective sleep evaluations. Results Twenty-four participants were included. Actigraphy showed that 66.7% had an irregular sleep pattern and that 41.7% had poor sleep efficiency. We found that 12.5% had daytime sleepiness, 33% had poor sleep quality, and 29.2% had fatigue. We found a significant negative correlation between years of experience and time in bed; however, there was no significant difference in sleep time or sleep efficiency between pilots with different levels of experience. Conclusions We found that pilots and copilots are at risk of irregular sleep patterns, poor sleep efficiency, poor sleep quality, daytime sleepiness, and fatigue. This study emphasizes the need to instigate measures to minimize these risks.
format Online
Article
Text
id pubmed-10292132
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Cureus
record_format MEDLINE/PubMed
spelling pubmed-102921322023-06-27 Sleep Patterns of Pilots: An Objective Assessment Abdelaziz, Mohammed Alhejaili, Faris Alnouri, Loai Samman, Abdulrahman Alzehairi, Ahmed Balkhyour, Mansour Alsumrani, Ranya Pandi-Perumal, Seithikurippu R Wali, Siraj O Cureus Pulmonology Objectives Circadian dysregulation (jetlag), sleep loss (extended wakefulness), sleep deprivation (acute or chronic), fatigue (exhaustion), preexisting medical and mental conditions, and medication use can all affect the cognitive and behavioral performance of commercial aircraft pilots. This study evaluated the sleep habits of pilots and copilots flying short-haul flights in the Gulf region. Methods This cross-sectional study examined Airbus A320 pilots and copilots for one of Saudi Arabia’s commercial airlines. Data such as age, sex, body mass index (BMI), employment position, work experience, flight hours, and rest time were collected. Each participant completed the Epworth Sleepiness Scale (ESS) for daytime sleepiness, the Pittsburgh Sleep Quality Index (PSQI), and the Fatigue Severity Index (FSI). Actigraphy equipment was used to perform objective sleep evaluations. Results Twenty-four participants were included. Actigraphy showed that 66.7% had an irregular sleep pattern and that 41.7% had poor sleep efficiency. We found that 12.5% had daytime sleepiness, 33% had poor sleep quality, and 29.2% had fatigue. We found a significant negative correlation between years of experience and time in bed; however, there was no significant difference in sleep time or sleep efficiency between pilots with different levels of experience. Conclusions We found that pilots and copilots are at risk of irregular sleep patterns, poor sleep efficiency, poor sleep quality, daytime sleepiness, and fatigue. This study emphasizes the need to instigate measures to minimize these risks. Cureus 2023-05-13 /pmc/articles/PMC10292132/ /pubmed/37378186 http://dx.doi.org/10.7759/cureus.38983 Text en Copyright © 2023, Abdelaziz et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Pulmonology
Abdelaziz, Mohammed
Alhejaili, Faris
Alnouri, Loai
Samman, Abdulrahman
Alzehairi, Ahmed
Balkhyour, Mansour
Alsumrani, Ranya
Pandi-Perumal, Seithikurippu R
Wali, Siraj O
Sleep Patterns of Pilots: An Objective Assessment
title Sleep Patterns of Pilots: An Objective Assessment
title_full Sleep Patterns of Pilots: An Objective Assessment
title_fullStr Sleep Patterns of Pilots: An Objective Assessment
title_full_unstemmed Sleep Patterns of Pilots: An Objective Assessment
title_short Sleep Patterns of Pilots: An Objective Assessment
title_sort sleep patterns of pilots: an objective assessment
topic Pulmonology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10292132/
https://www.ncbi.nlm.nih.gov/pubmed/37378186
http://dx.doi.org/10.7759/cureus.38983
work_keys_str_mv AT abdelazizmohammed sleeppatternsofpilotsanobjectiveassessment
AT alhejailifaris sleeppatternsofpilotsanobjectiveassessment
AT alnouriloai sleeppatternsofpilotsanobjectiveassessment
AT sammanabdulrahman sleeppatternsofpilotsanobjectiveassessment
AT alzehairiahmed sleeppatternsofpilotsanobjectiveassessment
AT balkhyourmansour sleeppatternsofpilotsanobjectiveassessment
AT alsumraniranya sleeppatternsofpilotsanobjectiveassessment
AT pandiperumalseithikurippur sleeppatternsofpilotsanobjectiveassessment
AT walisirajo sleeppatternsofpilotsanobjectiveassessment