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Characterising Psycho-Physiological Responses and Relationships during a Military Field Training Exercise

Over a 15-day period, that included an eight-day field trial, the aims of this study were to (1) quantify the physical workload, sleep and subjective well-being of soldiers in training; (2a) Explore relationships between workload and well-being, and (2b) sleep and well-being; (3) Explore relationshi...

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Autores principales: Bulmer, Sean, Corrigan, Sean L., Drain, Jace R., Tait, Jamie L., Aisbett, Brad, Roberts, Spencer, Gastin, Paul B., Main, Luana C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9690080/
https://www.ncbi.nlm.nih.gov/pubmed/36429484
http://dx.doi.org/10.3390/ijerph192214767
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author Bulmer, Sean
Corrigan, Sean L.
Drain, Jace R.
Tait, Jamie L.
Aisbett, Brad
Roberts, Spencer
Gastin, Paul B.
Main, Luana C.
author_facet Bulmer, Sean
Corrigan, Sean L.
Drain, Jace R.
Tait, Jamie L.
Aisbett, Brad
Roberts, Spencer
Gastin, Paul B.
Main, Luana C.
author_sort Bulmer, Sean
collection PubMed
description Over a 15-day period, that included an eight-day field trial, the aims of this study were to (1) quantify the physical workload, sleep and subjective well-being of soldiers in training; (2a) Explore relationships between workload and well-being, and (2b) sleep and well-being; (3) Explore relationships between workload, sleep, and well-being. Methods: Sixty-two Combat Engineer trainees (59 male, 3 female; age: 25.2 ± 7.2 years) wore an ActiGraph GT9X to monitor daily energy expenditure, physical activity, and sleep. Rating of perceived exertion (RPE), sleep quality, and fatigue were measured daily, subjective well-being was reported days 1, 5, 9, 13 and 15. Multi-level models were used for the analysis. Results: Well-being was affected by a combination of variables including workload, subjective sleep quality, sleep duration, and sleep efficiency. RPE and subjective sleep quality were consistently significant parameters within the models of best fit. Conclusions: Perceptions of well-being were lower during the field training when physical workload increased, and sleep decreased. Energy expenditure was comparatively low, while daily sleep duration was consistent with field training literature. Subjective assessments of workload and sleep quality were consistently effective in explaining variations in well-being and represent an efficient approach to monitor training status of personnel.
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spelling pubmed-96900802022-11-25 Characterising Psycho-Physiological Responses and Relationships during a Military Field Training Exercise Bulmer, Sean Corrigan, Sean L. Drain, Jace R. Tait, Jamie L. Aisbett, Brad Roberts, Spencer Gastin, Paul B. Main, Luana C. Int J Environ Res Public Health Article Over a 15-day period, that included an eight-day field trial, the aims of this study were to (1) quantify the physical workload, sleep and subjective well-being of soldiers in training; (2a) Explore relationships between workload and well-being, and (2b) sleep and well-being; (3) Explore relationships between workload, sleep, and well-being. Methods: Sixty-two Combat Engineer trainees (59 male, 3 female; age: 25.2 ± 7.2 years) wore an ActiGraph GT9X to monitor daily energy expenditure, physical activity, and sleep. Rating of perceived exertion (RPE), sleep quality, and fatigue were measured daily, subjective well-being was reported days 1, 5, 9, 13 and 15. Multi-level models were used for the analysis. Results: Well-being was affected by a combination of variables including workload, subjective sleep quality, sleep duration, and sleep efficiency. RPE and subjective sleep quality were consistently significant parameters within the models of best fit. Conclusions: Perceptions of well-being were lower during the field training when physical workload increased, and sleep decreased. Energy expenditure was comparatively low, while daily sleep duration was consistent with field training literature. Subjective assessments of workload and sleep quality were consistently effective in explaining variations in well-being and represent an efficient approach to monitor training status of personnel. MDPI 2022-11-10 /pmc/articles/PMC9690080/ /pubmed/36429484 http://dx.doi.org/10.3390/ijerph192214767 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Bulmer, Sean
Corrigan, Sean L.
Drain, Jace R.
Tait, Jamie L.
Aisbett, Brad
Roberts, Spencer
Gastin, Paul B.
Main, Luana C.
Characterising Psycho-Physiological Responses and Relationships during a Military Field Training Exercise
title Characterising Psycho-Physiological Responses and Relationships during a Military Field Training Exercise
title_full Characterising Psycho-Physiological Responses and Relationships during a Military Field Training Exercise
title_fullStr Characterising Psycho-Physiological Responses and Relationships during a Military Field Training Exercise
title_full_unstemmed Characterising Psycho-Physiological Responses and Relationships during a Military Field Training Exercise
title_short Characterising Psycho-Physiological Responses and Relationships during a Military Field Training Exercise
title_sort characterising psycho-physiological responses and relationships during a military field training exercise
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9690080/
https://www.ncbi.nlm.nih.gov/pubmed/36429484
http://dx.doi.org/10.3390/ijerph192214767
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