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Subjective Measures of Workload and Sleep in Australian Army Recruits; Potential Utility as Monitoring Tools

ABSTRACT Introduction Subjective measures may offer practitioners a relatively simple method to monitor recruit responses to basic military training (BMT). Yet, a lack of agreement between subjective and objective measures may presents a problem to practitioners wishing to implement subjective monit...

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Published in:Military medicine 2023-03, Vol.188 (3-4), p.670-677
Main Authors: Gibson, Neil, Drain, Jace R, Larsen, Penelope, Williams, Sean, Groeller, Herbert, Sampson, John A
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Language:English
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container_end_page 677
container_issue 3-4
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container_title Military medicine
container_volume 188
creator Gibson, Neil
Drain, Jace R
Larsen, Penelope
Williams, Sean
Groeller, Herbert
Sampson, John A
description ABSTRACT Introduction Subjective measures may offer practitioners a relatively simple method to monitor recruit responses to basic military training (BMT). Yet, a lack of agreement between subjective and objective measures may presents a problem to practitioners wishing to implement subjective monitoring strategies. This study therefore aims to examine associations between subjective and objective measures of workload and sleep in Australian Army recruits. Materials and Methods Thirty recruits provided daily rating of perceived exertion (RPE) and differential RPE (d-RPE) for breathlessness and leg muscle exertion each evening. Daily internal workloads determined via heart rate monitors were expressed as Edwards training impulse (TRIMP) and average heart rate. External workloads were determined via global positioning system (PlayerLoadTM) and activity monitors (step count). Subjective sleep quality and duration was monitored in 29 different recruits via a customized questionnaire. Activity monitors assessed objective sleep measures. Linear mixed-models assessed associations between objective and subjective measures. Akaike Information Criterion assessed if the inclusion of d-RPE measures resulted in a more parsimonious model. Mean bias, typical error of the estimate (TEE) and within-subject repeated measures correlations examined agreement between subjective and objective sleep duration. Results Conditional R2 for associations between objective and subjective workloads ranged from 0.18 to 0.78, P 
doi_str_mv 10.1093/milmed/usab551
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Yet, a lack of agreement between subjective and objective measures may presents a problem to practitioners wishing to implement subjective monitoring strategies. This study therefore aims to examine associations between subjective and objective measures of workload and sleep in Australian Army recruits. Materials and Methods Thirty recruits provided daily rating of perceived exertion (RPE) and differential RPE (d-RPE) for breathlessness and leg muscle exertion each evening. Daily internal workloads determined via heart rate monitors were expressed as Edwards training impulse (TRIMP) and average heart rate. External workloads were determined via global positioning system (PlayerLoadTM) and activity monitors (step count). Subjective sleep quality and duration was monitored in 29 different recruits via a customized questionnaire. Activity monitors assessed objective sleep measures. Linear mixed-models assessed associations between objective and subjective measures. Akaike Information Criterion assessed if the inclusion of d-RPE measures resulted in a more parsimonious model. Mean bias, typical error of the estimate (TEE) and within-subject repeated measures correlations examined agreement between subjective and objective sleep duration. Results Conditional R2 for associations between objective and subjective workloads ranged from 0.18 to 0.78, P &lt; 0.01, with strong associations between subjective measures of workload and TRIMP (0.65–0.78), average heart rate (0.57–0.73), and PlayerLoadTM (0.54–0.68). Including d-RPE lowered Akaike Information Criterion. The slope estimate between objective and subjective measures of sleep quality was not significant. A trivial relationship (r = 0.12; CI −0.03, 0.27) was observed between objective and subjective sleep duration with subjective measures overestimating (mean bias 25 min) sleep duration (TEE 41 min). Conclusions Daily RPE offers a proxy measure of internal workload in Australian Army recruits; however, the current subjective sleep questionnaire should not be considered a proxy measure of objective sleep measures.</description><identifier>ISSN: 0026-4075</identifier><identifier>EISSN: 1930-613X</identifier><identifier>DOI: 10.1093/milmed/usab551</identifier><identifier>PMID: 34986241</identifier><language>eng</language><publisher>US: Oxford University Press</publisher><subject>Australia ; Heart Rate ; Humans ; Physical Exertion - physiology ; Sleep - physiology ; Sleep Duration ; Surveys and Questionnaires ; Workload</subject><ispartof>Military medicine, 2023-03, Vol.188 (3-4), p.670-677</ispartof><rights>The Association of Military Surgeons of the United States 2021. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com. 2021</rights><rights>The Association of Military Surgeons of the United States 2021. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c369t-c076a1e604655b84c3afab034b59b320fb24d5872a4d92872415bf2a702bea123</citedby><cites>FETCH-LOGICAL-c369t-c076a1e604655b84c3afab034b59b320fb24d5872a4d92872415bf2a702bea123</cites><orcidid>0000-0002-7945-0041 ; 0000-0002-9785-7216 ; 0000-0003-4881-150X ; 0000-0001-7730-0253 ; 0000-0002-6800-7757 ; 0000-0003-1460-0085</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34986241$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gibson, Neil</creatorcontrib><creatorcontrib>Drain, Jace R</creatorcontrib><creatorcontrib>Larsen, Penelope</creatorcontrib><creatorcontrib>Williams, Sean</creatorcontrib><creatorcontrib>Groeller, Herbert</creatorcontrib><creatorcontrib>Sampson, John A</creatorcontrib><title>Subjective Measures of Workload and Sleep in Australian Army Recruits; Potential Utility as Monitoring Tools</title><title>Military medicine</title><addtitle>Mil Med</addtitle><description>ABSTRACT Introduction Subjective measures may offer practitioners a relatively simple method to monitor recruit responses to basic military training (BMT). Yet, a lack of agreement between subjective and objective measures may presents a problem to practitioners wishing to implement subjective monitoring strategies. This study therefore aims to examine associations between subjective and objective measures of workload and sleep in Australian Army recruits. Materials and Methods Thirty recruits provided daily rating of perceived exertion (RPE) and differential RPE (d-RPE) for breathlessness and leg muscle exertion each evening. Daily internal workloads determined via heart rate monitors were expressed as Edwards training impulse (TRIMP) and average heart rate. External workloads were determined via global positioning system (PlayerLoadTM) and activity monitors (step count). Subjective sleep quality and duration was monitored in 29 different recruits via a customized questionnaire. Activity monitors assessed objective sleep measures. Linear mixed-models assessed associations between objective and subjective measures. Akaike Information Criterion assessed if the inclusion of d-RPE measures resulted in a more parsimonious model. Mean bias, typical error of the estimate (TEE) and within-subject repeated measures correlations examined agreement between subjective and objective sleep duration. Results Conditional R2 for associations between objective and subjective workloads ranged from 0.18 to 0.78, P &lt; 0.01, with strong associations between subjective measures of workload and TRIMP (0.65–0.78), average heart rate (0.57–0.73), and PlayerLoadTM (0.54–0.68). Including d-RPE lowered Akaike Information Criterion. The slope estimate between objective and subjective measures of sleep quality was not significant. A trivial relationship (r = 0.12; CI −0.03, 0.27) was observed between objective and subjective sleep duration with subjective measures overestimating (mean bias 25 min) sleep duration (TEE 41 min). Conclusions Daily RPE offers a proxy measure of internal workload in Australian Army recruits; however, the current subjective sleep questionnaire should not be considered a proxy measure of objective sleep measures.</description><subject>Australia</subject><subject>Heart Rate</subject><subject>Humans</subject><subject>Physical Exertion - physiology</subject><subject>Sleep - physiology</subject><subject>Sleep Duration</subject><subject>Surveys and Questionnaires</subject><subject>Workload</subject><issn>0026-4075</issn><issn>1930-613X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNqFkDtPwzAUhS0EoqWwMiKPMAT8itOICSFeEghEQbBF14mDXJy4-IHUf0-qtjPTubr6zhk-hI4pOaek5BedsZ1uLlIAled0B41pyUkmKf_cRWNCmMwEKfIROghhTggV5ZTuoxEfUjJBx8jOkprrOppfjZ80hOR1wK7FH85_WwcNhr7BM6v1ApseX6UQPVgDw-m7JX7VtU8mhkv84qLuowGL36OxJi4xBPzkehOdN_0XfnPOhkO014IN-miTE_R-e_N2fZ89Pt89XF89ZjWXZcxqUkigWhIh81xNRc2hBUW4UHmpOCOtYqLJpwUD0ZRsSEFz1TIoCFMaKOMTdLreXXj3k3SIVWdCra2FXrsUKiZpwQpOp3JAz9do7V0IXrfVwpsO_LKipFoZrtaGq43hoXCy2U5q9d_iW6UDcLYGXFr8N_YH2HyIgA</recordid><startdate>20230320</startdate><enddate>20230320</enddate><creator>Gibson, Neil</creator><creator>Drain, Jace R</creator><creator>Larsen, Penelope</creator><creator>Williams, Sean</creator><creator>Groeller, Herbert</creator><creator>Sampson, John A</creator><general>Oxford University Press</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>7X8</scope><orcidid>https://orcid.org/0000-0002-7945-0041</orcidid><orcidid>https://orcid.org/0000-0002-9785-7216</orcidid><orcidid>https://orcid.org/0000-0003-4881-150X</orcidid><orcidid>https://orcid.org/0000-0001-7730-0253</orcidid><orcidid>https://orcid.org/0000-0002-6800-7757</orcidid><orcidid>https://orcid.org/0000-0003-1460-0085</orcidid></search><sort><creationdate>20230320</creationdate><title>Subjective Measures of Workload and Sleep in Australian Army Recruits; Potential Utility as Monitoring Tools</title><author>Gibson, Neil ; Drain, Jace R ; Larsen, Penelope ; Williams, Sean ; Groeller, Herbert ; Sampson, John A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c369t-c076a1e604655b84c3afab034b59b320fb24d5872a4d92872415bf2a702bea123</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Australia</topic><topic>Heart Rate</topic><topic>Humans</topic><topic>Physical Exertion - physiology</topic><topic>Sleep - physiology</topic><topic>Sleep Duration</topic><topic>Surveys and Questionnaires</topic><topic>Workload</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gibson, Neil</creatorcontrib><creatorcontrib>Drain, Jace R</creatorcontrib><creatorcontrib>Larsen, Penelope</creatorcontrib><creatorcontrib>Williams, Sean</creatorcontrib><creatorcontrib>Groeller, Herbert</creatorcontrib><creatorcontrib>Sampson, John A</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Military medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gibson, Neil</au><au>Drain, Jace R</au><au>Larsen, Penelope</au><au>Williams, Sean</au><au>Groeller, Herbert</au><au>Sampson, John A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Subjective Measures of Workload and Sleep in Australian Army Recruits; Potential Utility as Monitoring Tools</atitle><jtitle>Military medicine</jtitle><addtitle>Mil Med</addtitle><date>2023-03-20</date><risdate>2023</risdate><volume>188</volume><issue>3-4</issue><spage>670</spage><epage>677</epage><pages>670-677</pages><issn>0026-4075</issn><eissn>1930-613X</eissn><abstract>ABSTRACT Introduction Subjective measures may offer practitioners a relatively simple method to monitor recruit responses to basic military training (BMT). Yet, a lack of agreement between subjective and objective measures may presents a problem to practitioners wishing to implement subjective monitoring strategies. This study therefore aims to examine associations between subjective and objective measures of workload and sleep in Australian Army recruits. Materials and Methods Thirty recruits provided daily rating of perceived exertion (RPE) and differential RPE (d-RPE) for breathlessness and leg muscle exertion each evening. Daily internal workloads determined via heart rate monitors were expressed as Edwards training impulse (TRIMP) and average heart rate. External workloads were determined via global positioning system (PlayerLoadTM) and activity monitors (step count). Subjective sleep quality and duration was monitored in 29 different recruits via a customized questionnaire. Activity monitors assessed objective sleep measures. Linear mixed-models assessed associations between objective and subjective measures. Akaike Information Criterion assessed if the inclusion of d-RPE measures resulted in a more parsimonious model. Mean bias, typical error of the estimate (TEE) and within-subject repeated measures correlations examined agreement between subjective and objective sleep duration. Results Conditional R2 for associations between objective and subjective workloads ranged from 0.18 to 0.78, P &lt; 0.01, with strong associations between subjective measures of workload and TRIMP (0.65–0.78), average heart rate (0.57–0.73), and PlayerLoadTM (0.54–0.68). Including d-RPE lowered Akaike Information Criterion. The slope estimate between objective and subjective measures of sleep quality was not significant. A trivial relationship (r = 0.12; CI −0.03, 0.27) was observed between objective and subjective sleep duration with subjective measures overestimating (mean bias 25 min) sleep duration (TEE 41 min). 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subjects Australia
Heart Rate
Humans
Physical Exertion - physiology
Sleep - physiology
Sleep Duration
Surveys and Questionnaires
Workload
title Subjective Measures of Workload and Sleep in Australian Army Recruits; Potential Utility as Monitoring Tools
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