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Study on Fatigue Coefficient of Airline Pilots
This paper uses the Multidimensional Fatigue Inventory (MFI-16) to investigate the fatigue status of pilots, and the reliability and validity of the scale are tested by Cronbach’s α and exploratory factor analysis. The founding shows that mild fatigue and above accounted for 67.7%. For further quant...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9132537/ https://www.ncbi.nlm.nih.gov/pubmed/35645937 http://dx.doi.org/10.3389/fpsyg.2022.865342 |
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author | Zhang, Peiwen Zhao, Wenke Shi, Lan Wang, Yu Sun, Hong Sun, Zhen |
author_facet | Zhang, Peiwen Zhao, Wenke Shi, Lan Wang, Yu Sun, Hong Sun, Zhen |
author_sort | Zhang, Peiwen |
collection | PubMed |
description | This paper uses the Multidimensional Fatigue Inventory (MFI-16) to investigate the fatigue status of pilots, and the reliability and validity of the scale are tested by Cronbach’s α and exploratory factor analysis. The founding shows that mild fatigue and above accounted for 67.7%. For further quantify the impact of different flights on pilots’ fatigue, research improves the fatigue coefficient model based on the results of pilot fatigue feeling questionnaire. Combined with multifactor analysis of variance and multiple linear regression, it is found that the independent variables have different and positive effects on the dependent variables, and there is no multicollinearity. Through the actual test, its accuracy is improved by 16.7% compared with the original model. |
format | Online Article Text |
id | pubmed-9132537 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-91325372022-05-26 Study on Fatigue Coefficient of Airline Pilots Zhang, Peiwen Zhao, Wenke Shi, Lan Wang, Yu Sun, Hong Sun, Zhen Front Psychol Psychology This paper uses the Multidimensional Fatigue Inventory (MFI-16) to investigate the fatigue status of pilots, and the reliability and validity of the scale are tested by Cronbach’s α and exploratory factor analysis. The founding shows that mild fatigue and above accounted for 67.7%. For further quantify the impact of different flights on pilots’ fatigue, research improves the fatigue coefficient model based on the results of pilot fatigue feeling questionnaire. Combined with multifactor analysis of variance and multiple linear regression, it is found that the independent variables have different and positive effects on the dependent variables, and there is no multicollinearity. Through the actual test, its accuracy is improved by 16.7% compared with the original model. Frontiers Media S.A. 2022-05-11 /pmc/articles/PMC9132537/ /pubmed/35645937 http://dx.doi.org/10.3389/fpsyg.2022.865342 Text en Copyright © 2022 Zhang, Zhao, Shi, Wang, Sun and Sun. 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 | Psychology Zhang, Peiwen Zhao, Wenke Shi, Lan Wang, Yu Sun, Hong Sun, Zhen Study on Fatigue Coefficient of Airline Pilots |
title | Study on Fatigue Coefficient of Airline Pilots |
title_full | Study on Fatigue Coefficient of Airline Pilots |
title_fullStr | Study on Fatigue Coefficient of Airline Pilots |
title_full_unstemmed | Study on Fatigue Coefficient of Airline Pilots |
title_short | Study on Fatigue Coefficient of Airline Pilots |
title_sort | study on fatigue coefficient of airline pilots |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9132537/ https://www.ncbi.nlm.nih.gov/pubmed/35645937 http://dx.doi.org/10.3389/fpsyg.2022.865342 |
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