Predictive biomarkers of performance under stress: a two-phase study protocol to develop a wearable monitoring system
Understanding and predicting individual responses to common stressors is essential for optimising performance in high-stress environments. This article outlines a protocol for a study to identify biomarkers that predict performance under heat, musculoskeletal, psychosocial and sleep stress, for futu...
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Format: | Article |
Language: | English |
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BMJ Publishing Group
2025-01-01
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Series: | BMJ Open Sport & Exercise Medicine |
Online Access: | https://bmjopensem.bmj.com/content/11/1/e002410.full |
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author | Cassandra Pattinson Graham Kerr Simon S Smith Chamindie Punyadeera Ian Stewart Kerrie Mengersen Karen A Sullivan Jonathan M Flintoff Sarah Ahamed Shahnewaz Ali Angus Bagley Daniel Broszczak Blair Crewther Louis de Waal Shannon L Edmed Tharindu Fernando Clinton Fookes Francesca D Frentiu Andrew P Hunt Ottmar V Lipp Ben McMaster Luke Ney Senn L Oon Ajay Pandey Parth Pandit Jonathan M Peake Muthukuttige Madusha Nuwanthi Perera Virginie Perlo Luke Schmidt Kirsten Spann Danielle Young Tony J Parker |
author_facet | Cassandra Pattinson Graham Kerr Simon S Smith Chamindie Punyadeera Ian Stewart Kerrie Mengersen Karen A Sullivan Jonathan M Flintoff Sarah Ahamed Shahnewaz Ali Angus Bagley Daniel Broszczak Blair Crewther Louis de Waal Shannon L Edmed Tharindu Fernando Clinton Fookes Francesca D Frentiu Andrew P Hunt Ottmar V Lipp Ben McMaster Luke Ney Senn L Oon Ajay Pandey Parth Pandit Jonathan M Peake Muthukuttige Madusha Nuwanthi Perera Virginie Perlo Luke Schmidt Kirsten Spann Danielle Young Tony J Parker |
author_sort | Cassandra Pattinson |
collection | DOAJ |
description | Understanding and predicting individual responses to common stressors is essential for optimising performance in high-stress environments. This article outlines a protocol for a study to identify biomarkers that predict performance under heat, musculoskeletal, psychosocial and sleep stress, for future integration into a wearable sensor system. In Phase I, healthy adults aged between 18 and 45 years (n=104) will be recruited for an intervention trial that involves exposure to one of the four stressors: heat, musculoskeletal, psychosocial or sleep deprivation. Biomarkers will be identified from molecular markers in biological samples (eg, blood, saliva, sweat and stool), physiological measures and psychological assessments to predict cognitive and physical performance under stress. A within-subjects design will determine changes in molecular and non-molecular markers before and after stress exposure. In Phase II, we will use the biomarkers identified in Phase I to develop a wearable sensor to predict and monitor human performance under stress. |
format | Article |
id | doaj-art-24039f2be896425fa05e5f2e81428ac4 |
institution | Kabale University |
issn | 2055-7647 |
language | English |
publishDate | 2025-01-01 |
publisher | BMJ Publishing Group |
record_format | Article |
series | BMJ Open Sport & Exercise Medicine |
spelling | doaj-art-24039f2be896425fa05e5f2e81428ac42025-01-21T10:10:12ZengBMJ Publishing GroupBMJ Open Sport & Exercise Medicine2055-76472025-01-0111110.1136/bmjsem-2024-002410Predictive biomarkers of performance under stress: a two-phase study protocol to develop a wearable monitoring systemCassandra Pattinson0Graham Kerr1Simon S Smith2Chamindie Punyadeera3Ian Stewart4Kerrie Mengersen5Karen A Sullivan6Jonathan M Flintoff7Sarah Ahamed8Shahnewaz Ali9Angus Bagley10Daniel Broszczak11Blair Crewther12Louis de Waal13Shannon L Edmed14Tharindu Fernando15Clinton Fookes16Francesca D Frentiu17Andrew P Hunt18Ottmar V Lipp19Ben McMaster20Luke Ney21Senn L Oon22Ajay Pandey23Parth Pandit24Jonathan M Peake25Muthukuttige Madusha Nuwanthi Perera26Virginie Perlo27Luke Schmidt28Kirsten Spann29Danielle Young30Tony J Parker31Child Health Research Centre, The University of Queensland, Brisbane, Queensland, AustraliaCentre for Biomedical Technologies, Queensland University of Technology, Brisbane, Queensland, Australia7 Emergency Department, Oxford University Hospitals NHS Trust, Oxford, United Kingdom1The School of Biomedical Sciences, Institute of Health and Biomedical Innovations, Queensland University of Technology, Brisbane, Queensland, AustraliaNHS Lothian, Edinburgh, UKDiscipline of Mathematical Sciences, Faculty of Science and Technology, Queensland University of Technology, Brisbane, AustraliaQueensland University of Technology, Brisbane, Queensland, AustraliaSchool of Biomedical Sciences, Queensland University of Technology, Brisbane, Queensland, AustraliaSchool of Psychology and Counselling, Queensland University of Technology, Brisbane, Queensland, AustraliaSchool of Electrical Engineering and Robotics, Queensland University of Technology, Brisbane, Queensland, AustraliaSchool of Biomedical Sciences, Queensland University of Technology, Brisbane, Queensland, AustraliaSchool of Biomedical Sciences, Queensland University of Technology, Brisbane, Queensland, AustraliaSchool of Science and Technology, University of New England, Armidale, New South Wales, AustraliaChild Health Research Centre, The University of Queensland, Brisbane, Queensland, AustraliaChild Health Research Centre, The University of Queensland, Brisbane, Queensland, AustraliaSchool of Electrical Engineering and Robotics, Queensland University of Technology, Brisbane, Queensland, AustraliaCentre for Biomedical Technologies, Queensland University of Technology, Brisbane, Queensland, AustraliaSchool of Biomedical Sciences, Queensland University of Technology, Brisbane, Queensland, AustraliaSchool of Biomedical Sciences, Queensland University of Technology, Brisbane, Queensland, AustraliaSchool of Psychology and Counselling, Queensland University of Technology, Brisbane, Queensland, AustraliaSchool of Exercise and Nutrition Sciences, Queensland University of Technology, Brisbane, Queensland, AustraliaSchool of Psychology and Counselling, Queensland University of Technology, Brisbane, Queensland, AustraliaSchool of Biomedical Sciences, Queensland University of Technology, Brisbane, Queensland, AustraliaCentre for Biomedical Technologies, Queensland University of Technology, Brisbane, Queensland, AustraliaSchool of Electrical Engineering and Robotics, Queensland University of Technology, Brisbane, Queensland, AustraliaSchool of Biomedical Sciences, Queensland University of Technology, Brisbane, Queensland, AustraliaSchool of Biomedical Sciences, Queensland University of Technology, Brisbane, Queensland, AustraliaSchool of Biomedical Sciences, Queensland University of Technology, Brisbane, Queensland, AustraliaSchool of Biomedical Sciences, Queensland University of Technology, Brisbane, Queensland, AustraliaSchool of Biomedical Sciences, Queensland University of Technology, Brisbane, Queensland, AustraliaSchool of Biomedical Sciences, Queensland University of Technology, Brisbane, Queensland, AustraliaSchool of Biomedical Sciences, Queensland University of Technology, Brisbane, Queensland, AustraliaUnderstanding and predicting individual responses to common stressors is essential for optimising performance in high-stress environments. This article outlines a protocol for a study to identify biomarkers that predict performance under heat, musculoskeletal, psychosocial and sleep stress, for future integration into a wearable sensor system. In Phase I, healthy adults aged between 18 and 45 years (n=104) will be recruited for an intervention trial that involves exposure to one of the four stressors: heat, musculoskeletal, psychosocial or sleep deprivation. Biomarkers will be identified from molecular markers in biological samples (eg, blood, saliva, sweat and stool), physiological measures and psychological assessments to predict cognitive and physical performance under stress. A within-subjects design will determine changes in molecular and non-molecular markers before and after stress exposure. In Phase II, we will use the biomarkers identified in Phase I to develop a wearable sensor to predict and monitor human performance under stress.https://bmjopensem.bmj.com/content/11/1/e002410.full |
spellingShingle | Cassandra Pattinson Graham Kerr Simon S Smith Chamindie Punyadeera Ian Stewart Kerrie Mengersen Karen A Sullivan Jonathan M Flintoff Sarah Ahamed Shahnewaz Ali Angus Bagley Daniel Broszczak Blair Crewther Louis de Waal Shannon L Edmed Tharindu Fernando Clinton Fookes Francesca D Frentiu Andrew P Hunt Ottmar V Lipp Ben McMaster Luke Ney Senn L Oon Ajay Pandey Parth Pandit Jonathan M Peake Muthukuttige Madusha Nuwanthi Perera Virginie Perlo Luke Schmidt Kirsten Spann Danielle Young Tony J Parker Predictive biomarkers of performance under stress: a two-phase study protocol to develop a wearable monitoring system BMJ Open Sport & Exercise Medicine |
title | Predictive biomarkers of performance under stress: a two-phase study protocol to develop a wearable monitoring system |
title_full | Predictive biomarkers of performance under stress: a two-phase study protocol to develop a wearable monitoring system |
title_fullStr | Predictive biomarkers of performance under stress: a two-phase study protocol to develop a wearable monitoring system |
title_full_unstemmed | Predictive biomarkers of performance under stress: a two-phase study protocol to develop a wearable monitoring system |
title_short | Predictive biomarkers of performance under stress: a two-phase study protocol to develop a wearable monitoring system |
title_sort | predictive biomarkers of performance under stress a two phase study protocol to develop a wearable monitoring system |
url | https://bmjopensem.bmj.com/content/11/1/e002410.full |
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