Evidence map›Paper›PMID 39897983›Full record

ArticleBMJ open sport & exercise medicine2025

Predictive biomarkers of performance under stress: a two-phase study protocol to develop a wearable monitoring system.

Jonathan M Flintoff, Cassandra Pattinson, Sarah Ahamed, Shahnewaz Ali, Angus Bagley, Daniel Broszczak, Blair Crewther, Louis de Waal, Shannon L Edmed, Tharindu Fernando and 22 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMJ open sport & exercise medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

32 authors.

Jonathan M FlintoffSchool of Biomedical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia.ORCID 0000-0002-0500-9456
Cassandra PattinsonChild Health Research Centre, The University of Queensland, Brisbane, Queensland, Australia.
Sarah AhamedSchool of Psychology and Counselling, Queensland University of Technology, Brisbane, Queensland, Australia.
Shahnewaz AliSchool of Electrical Engineering and Robotics, Queensland University of Technology, Brisbane, Queensland, Australia.
Angus BagleySchool of Biomedical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia.
Daniel BroszczakSchool of Biomedical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia.
Blair CrewtherSchool of Electrical Engineering and Robotics, Queensland University of Technology, Brisbane, Queensland, Australia.
Louis de WaalChild Health Research Centre, The University of Queensland, Brisbane, Queensland, Australia.
Shannon L EdmedChild Health Research Centre, The University of Queensland, Brisbane, Queensland, Australia.
Tharindu FernandoSchool of Electrical Engineering and Robotics, Queensland University of Technology, Brisbane, Queensland, Australia.
Clinton FookesCentre for Biomedical Technologies, Queensland University of Technology, Brisbane, Queensland, Australia.
Francesca D FrentiuSchool of Biomedical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia.
Andrew P HuntSchool of Biomedical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia.ORCID 0000-0002-2753-7567
Ottmar V LippSchool of Psychology and Counselling, Queensland University of Technology, Brisbane, Queensland, Australia.
Ben McMasterSchool of Exercise and Nutrition Sciences, Queensland University of Technology, Brisbane, Queensland, Australia.
Kerrie MengersenCentre for Data Science, Queensland University of Technology, Brisbane, Queensland, Australia.
Luke NeySchool of Psychology and Counselling, Queensland University of Technology, Brisbane, Queensland, Australia.
Senn L OonSchool of Biomedical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia.
Ajay PandeyCentre for Biomedical Technologies, Queensland University of Technology, Brisbane, Queensland, Australia.
Parth PanditSchool of Electrical Engineering and Robotics, Queensland University of Technology, Brisbane, Queensland, Australia.
Jonathan M PeakeSchool of Biomedical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia.
Muthukuttige Madusha Nuwanthi PereraSchool of Biomedical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia.ORCID 0000-0002-1895-4289
Virginie PerloSchool of Biomedical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia.
Chamindie PunyadeeraGriffith University Institute for Glycomics, Brisbane, Queensland, Australia.
Luke SchmidtSchool of Biomedical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia.
Simon S SmithChild Health Research Centre, The University of Queensland, Brisbane, Queensland, Australia.
Kirsten SpannSchool of Biomedical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia.
Ian StewartSchool of Exercise and Nutrition Sciences, Queensland University of Technology, Brisbane, Queensland, Australia.
Karen A SullivanSchool of Psychology and Counselling, Queensland University of Technology, Brisbane, Queensland, Australia.ORCID 0000-0002-5952-5114
Danielle YoungSchool of Biomedical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia.
Graham KerrCentre for Biomedical Technologies, Queensland University of Technology, Brisbane, Queensland, Australia.
Tony J ParkerSchool of Biomedical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia.ORCID 0000-0002-5118-524X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

BiochemistryPerformanceStress

Identifiers

PMID39897983
PMCPMC11784218

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.