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Investigation of pilots' mental health and analysis of influencing factors in China: based on structural equation model

BACKGROUND: Pilots' physical and mental health might be significant contributing factors to flight safety. Exploring pilots’ health-related quality of life (HRQoL) is crucial for aviation security, health management, and psychological security. This study aimed to explore HRQoL and mental healt...

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Autores principales: Yu, Feifei, Li, Xuxia, Yang, Jishun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9284707/
https://www.ncbi.nlm.nih.gov/pubmed/35840952
http://dx.doi.org/10.1186/s12889-022-13764-y
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author Yu, Feifei
Li, Xuxia
Yang, Jishun
author_facet Yu, Feifei
Li, Xuxia
Yang, Jishun
author_sort Yu, Feifei
collection PubMed
description BACKGROUND: Pilots' physical and mental health might be significant contributing factors to flight safety. Exploring pilots’ health-related quality of life (HRQoL) is crucial for aviation security, health management, and psychological security. This study aimed to explore HRQoL and mental health of pilots and analyze the health characteristics and influencing factors, such as demographic data, personality traits, social support, and resilience. It may provide data for a theoretical basis for aviation security work and health management strategy. METHODS: This is a cross-sectional study using quantitative approaches. Two hundred twenty male pilots with an average age of 33.31 years participated. They answered a social demographic questionnaire, Symptom Checklist-90, Short Form 36 Health Survey Questionnaire, Perceived social support scale, Connor-Davidson resilience scale, and Big Five Personality Inventories, whose data were analyzed using descriptive and inferential statistics. RESULTS: The mediating effect of personality factors between resilience and the HRQoL of pilots was observed. Personality factors also mediated the relationship between social support and the mental health of pilots. CONCLUSION: Pilots’ mental health and quality of life need to be taken seriously. Social support, resilience, and personality factors affect pilots’ mental health and quality of life.
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spelling pubmed-92847072022-07-16 Investigation of pilots' mental health and analysis of influencing factors in China: based on structural equation model Yu, Feifei Li, Xuxia Yang, Jishun BMC Public Health Research BACKGROUND: Pilots' physical and mental health might be significant contributing factors to flight safety. Exploring pilots’ health-related quality of life (HRQoL) is crucial for aviation security, health management, and psychological security. This study aimed to explore HRQoL and mental health of pilots and analyze the health characteristics and influencing factors, such as demographic data, personality traits, social support, and resilience. It may provide data for a theoretical basis for aviation security work and health management strategy. METHODS: This is a cross-sectional study using quantitative approaches. Two hundred twenty male pilots with an average age of 33.31 years participated. They answered a social demographic questionnaire, Symptom Checklist-90, Short Form 36 Health Survey Questionnaire, Perceived social support scale, Connor-Davidson resilience scale, and Big Five Personality Inventories, whose data were analyzed using descriptive and inferential statistics. RESULTS: The mediating effect of personality factors between resilience and the HRQoL of pilots was observed. Personality factors also mediated the relationship between social support and the mental health of pilots. CONCLUSION: Pilots’ mental health and quality of life need to be taken seriously. Social support, resilience, and personality factors affect pilots’ mental health and quality of life. BioMed Central 2022-07-15 /pmc/articles/PMC9284707/ /pubmed/35840952 http://dx.doi.org/10.1186/s12889-022-13764-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Yu, Feifei
Li, Xuxia
Yang, Jishun
Investigation of pilots' mental health and analysis of influencing factors in China: based on structural equation model
title Investigation of pilots' mental health and analysis of influencing factors in China: based on structural equation model
title_full Investigation of pilots' mental health and analysis of influencing factors in China: based on structural equation model
title_fullStr Investigation of pilots' mental health and analysis of influencing factors in China: based on structural equation model
title_full_unstemmed Investigation of pilots' mental health and analysis of influencing factors in China: based on structural equation model
title_short Investigation of pilots' mental health and analysis of influencing factors in China: based on structural equation model
title_sort investigation of pilots' mental health and analysis of influencing factors in china: based on structural equation model
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9284707/
https://www.ncbi.nlm.nih.gov/pubmed/35840952
http://dx.doi.org/10.1186/s12889-022-13764-y
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