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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| Veröffentlicht in: | International journal of environmental research and public health 2022-11, Vol.19 (22), p.14767 |
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| creator | Bulmer, Sean Corrigan, Sean L Drain, Jace R Tait, Jamie L Aisbett, Brad Roberts, Spencer Gastin, Paul B Main, Luana C |
| 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.
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.
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.
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. |
| doi_str_mv | 10.3390/ijerph192214767 |
| format | Article |
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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.
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.
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.</description><identifier>ISSN: 1660-4601</identifier><identifier>ISSN: 1661-7827</identifier><identifier>EISSN: 1660-4601</identifier><identifier>DOI: 10.3390/ijerph192214767</identifier><identifier>PMID: 36429484</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Adolescent ; Adult ; Data collection ; Efficiency ; Energy expenditure ; Energy Metabolism ; Exercise ; Fatigue ; Female ; Humans ; Injuries ; Male ; Military Personnel ; Military training ; Perceptions ; Performance management ; Physical activity ; Physical fitness ; Physical workload ; Physiological responses ; Physiology ; Psychological factors ; Self report ; Sleep ; Sleep - physiology ; Sleep deprivation ; Software ; Subjective assessment ; Well being ; Workload ; Workloads ; Young Adult</subject><ispartof>International journal of environmental research and public health, 2022-11, Vol.19 (22), p.14767</ispartof><rights>2022 by the authors. 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/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2022 by the authors. 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c421t-338c003b21bb2c2ff9cd4626bbe5cc2e5db020a60ad83629e01747267012bc7b3</citedby><cites>FETCH-LOGICAL-c421t-338c003b21bb2c2ff9cd4626bbe5cc2e5db020a60ad83629e01747267012bc7b3</cites><orcidid>0000-0003-2320-7875 ; 0000-0003-1986-854X ; 0000-0002-7945-0041 ; 0000-0002-9576-9466 ; 0000-0002-9095-7070 ; 0000-0002-5792-9430</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9690080/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9690080/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36429484$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bulmer, Sean</creatorcontrib><creatorcontrib>Corrigan, Sean L</creatorcontrib><creatorcontrib>Drain, Jace R</creatorcontrib><creatorcontrib>Tait, Jamie L</creatorcontrib><creatorcontrib>Aisbett, Brad</creatorcontrib><creatorcontrib>Roberts, Spencer</creatorcontrib><creatorcontrib>Gastin, Paul B</creatorcontrib><creatorcontrib>Main, Luana C</creatorcontrib><title>Characterising Psycho-Physiological Responses and Relationships during a Military Field Training Exercise</title><title>International journal of environmental research and public health</title><addtitle>Int J Environ Res Public Health</addtitle><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.
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.
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.
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.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Data collection</subject><subject>Efficiency</subject><subject>Energy expenditure</subject><subject>Energy Metabolism</subject><subject>Exercise</subject><subject>Fatigue</subject><subject>Female</subject><subject>Humans</subject><subject>Injuries</subject><subject>Male</subject><subject>Military Personnel</subject><subject>Military training</subject><subject>Perceptions</subject><subject>Performance management</subject><subject>Physical activity</subject><subject>Physical fitness</subject><subject>Physical workload</subject><subject>Physiological responses</subject><subject>Physiology</subject><subject>Psychological factors</subject><subject>Self report</subject><subject>Sleep</subject><subject>Sleep - physiology</subject><subject>Sleep deprivation</subject><subject>Software</subject><subject>Subjective assessment</subject><subject>Well being</subject><subject>Workload</subject><subject>Workloads</subject><subject>Young Adult</subject><issn>1660-4601</issn><issn>1661-7827</issn><issn>1660-4601</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNpdkc1r3DAQxUVpadKk596KoZde3Iw-LFuXQlmStpDQENKzkOTZtRat5Up26P731ZI0JDnNDPObxxseIR8ofOFcwZnfYpoGqhijopXtK3JMpYRaSKCvn_RH5F3OWwDeCanekiMuBVOiE8fErwaTjJsx-ezHTXWd926I9fWwzz6GuPHOhOoG8xTHjLkyY1-mYGZf5sFPueqXdLgz1ZUPfjZpX114DH11m4wfD5vzv5icz3hK3qxNyPj-oZ6Q3xfnt6sf9eWv7z9X3y5rJxida847V4xaRq1ljq3XyvVCMmktNs4xbHoLDIwE03dcMoVAW9Ey2QJl1rWWn5Cv97rTYnfYOxznZIKekt8Vdzoar59vRj_oTbzTSiqADorA5weBFP8smGe989lhCGbEuGTNWgENbQBoQT-9QLdxSWN5r1BcCdY2VBbq7J5yKeaccP1ohoI-xKhfxFguPj794ZH_nxv_Bwtwm-A</recordid><startdate>20221110</startdate><enddate>20221110</enddate><creator>Bulmer, Sean</creator><creator>Corrigan, Sean L</creator><creator>Drain, Jace R</creator><creator>Tait, Jamie L</creator><creator>Aisbett, Brad</creator><creator>Roberts, Spencer</creator><creator>Gastin, Paul B</creator><creator>Main, Luana C</creator><general>MDPI AG</general><general>MDPI</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0003-2320-7875</orcidid><orcidid>https://orcid.org/0000-0003-1986-854X</orcidid><orcidid>https://orcid.org/0000-0002-7945-0041</orcidid><orcidid>https://orcid.org/0000-0002-9576-9466</orcidid><orcidid>https://orcid.org/0000-0002-9095-7070</orcidid><orcidid>https://orcid.org/0000-0002-5792-9430</orcidid></search><sort><creationdate>20221110</creationdate><title>Characterising Psycho-Physiological Responses and Relationships during a Military Field Training Exercise</title><author>Bulmer, Sean ; 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(2a) Explore relationships between workload and well-being, and (2b) sleep and well-being; (3) Explore relationships between workload, sleep, and well-being.
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.
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.
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.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>36429484</pmid><doi>10.3390/ijerph192214767</doi><orcidid>https://orcid.org/0000-0003-2320-7875</orcidid><orcidid>https://orcid.org/0000-0003-1986-854X</orcidid><orcidid>https://orcid.org/0000-0002-7945-0041</orcidid><orcidid>https://orcid.org/0000-0002-9576-9466</orcidid><orcidid>https://orcid.org/0000-0002-9095-7070</orcidid><orcidid>https://orcid.org/0000-0002-5792-9430</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Adolescent Adult Data collection Efficiency Energy expenditure Energy Metabolism Exercise Fatigue Female Humans Injuries Male Military Personnel Military training Perceptions Performance management Physical activity Physical fitness Physical workload Physiological responses Physiology Psychological factors Self report Sleep Sleep - physiology Sleep deprivation Software Subjective assessment Well being Workload Workloads Young Adult |
| title | Characterising Psycho-Physiological Responses and Relationships during a Military Field Training Exercise |
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