Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Peiwen, Zhao, Wenke, Shi, Lan, Wang, Yu, Sun, Hong, Sun, Zhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
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
_version_ 1784713401586417664
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
work_keys_str_mv AT zhangpeiwen studyonfatiguecoefficientofairlinepilots
AT zhaowenke studyonfatiguecoefficientofairlinepilots
AT shilan studyonfatiguecoefficientofairlinepilots
AT wangyu studyonfatiguecoefficientofairlinepilots
AT sunhong studyonfatiguecoefficientofairlinepilots
AT sunzhen studyonfatiguecoefficientofairlinepilots