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Pilot fatigue survey: A study of the mutual influence among fatigue factors in the “work” dimension

BACKGROUND: Fatigue risk management for pilots has received increasing attention. The existing fatigue management systems have detailed descriptions of the factors and the mutual influences among the factors that affect the dimension of “sleep”, which is one of the most important causes of fatigue....

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Autores principales: Jun-Ya, Sun, Rui-Shan, Sun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9932798/
https://www.ncbi.nlm.nih.gov/pubmed/36817876
http://dx.doi.org/10.3389/fpubh.2023.1014503
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author Jun-Ya, Sun
Rui-Shan, Sun
author_facet Jun-Ya, Sun
Rui-Shan, Sun
author_sort Jun-Ya, Sun
collection PubMed
description BACKGROUND: Fatigue risk management for pilots has received increasing attention. The existing fatigue management systems have detailed descriptions of the factors and the mutual influences among the factors that affect the dimension of “sleep”, which is one of the most important causes of fatigue. However, the analysis of the influencing factors of the “work” dimension of fatigue causes has not been very detailed or accurate, especially the exploration of the mutual influence among many fatigue-influencing factors in the “work” dimension. OBJECTIVE: The purpose of this study was to explore the mutual influence among fatigue-influencing factors related to the “work” dimension in the analysis of pilot fatigue causes. METHODS: This study designed a questionnaire on the dimension of “work” in the causes of pilot fatigue and collected a total of 270 feedback data points from international flight pilots. Based on the questionnaires and data, descriptive statistical analysis, exploratory factor analysis and confirmatory factor analysis were performed to explore the influencing factors and their mutual influences on the “work” dimension of pilot fatigue. RESULTS: There is a strong, mutual influence relationship among the fatigue causes of long-haul flight pilots – working status, working conditions and working schedules – in the dimension of “work”. The workload only has a strong correlation with the working schedule, and the interaction relationships with the working status or working conditions are weak. CONCLUSION: This study analyses the mutual influence among the influencing factors of the “work” dimension of pilot fatigue, and we expect to provide empirical data for pilot fatigue risk management and to help improve fatigue risk management systems.
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spelling pubmed-99327982023-02-17 Pilot fatigue survey: A study of the mutual influence among fatigue factors in the “work” dimension Jun-Ya, Sun Rui-Shan, Sun Front Public Health Public Health BACKGROUND: Fatigue risk management for pilots has received increasing attention. The existing fatigue management systems have detailed descriptions of the factors and the mutual influences among the factors that affect the dimension of “sleep”, which is one of the most important causes of fatigue. However, the analysis of the influencing factors of the “work” dimension of fatigue causes has not been very detailed or accurate, especially the exploration of the mutual influence among many fatigue-influencing factors in the “work” dimension. OBJECTIVE: The purpose of this study was to explore the mutual influence among fatigue-influencing factors related to the “work” dimension in the analysis of pilot fatigue causes. METHODS: This study designed a questionnaire on the dimension of “work” in the causes of pilot fatigue and collected a total of 270 feedback data points from international flight pilots. Based on the questionnaires and data, descriptive statistical analysis, exploratory factor analysis and confirmatory factor analysis were performed to explore the influencing factors and their mutual influences on the “work” dimension of pilot fatigue. RESULTS: There is a strong, mutual influence relationship among the fatigue causes of long-haul flight pilots – working status, working conditions and working schedules – in the dimension of “work”. The workload only has a strong correlation with the working schedule, and the interaction relationships with the working status or working conditions are weak. CONCLUSION: This study analyses the mutual influence among the influencing factors of the “work” dimension of pilot fatigue, and we expect to provide empirical data for pilot fatigue risk management and to help improve fatigue risk management systems. Frontiers Media S.A. 2023-02-02 /pmc/articles/PMC9932798/ /pubmed/36817876 http://dx.doi.org/10.3389/fpubh.2023.1014503 Text en Copyright © 2023 Jun-Ya and Rui-Shan. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Jun-Ya, Sun
Rui-Shan, Sun
Pilot fatigue survey: A study of the mutual influence among fatigue factors in the “work” dimension
title Pilot fatigue survey: A study of the mutual influence among fatigue factors in the “work” dimension
title_full Pilot fatigue survey: A study of the mutual influence among fatigue factors in the “work” dimension
title_fullStr Pilot fatigue survey: A study of the mutual influence among fatigue factors in the “work” dimension
title_full_unstemmed Pilot fatigue survey: A study of the mutual influence among fatigue factors in the “work” dimension
title_short Pilot fatigue survey: A study of the mutual influence among fatigue factors in the “work” dimension
title_sort pilot fatigue survey: a study of the mutual influence among fatigue factors in the “work” dimension
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9932798/
https://www.ncbi.nlm.nih.gov/pubmed/36817876
http://dx.doi.org/10.3389/fpubh.2023.1014503
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