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Indicators to assess physiological heat strain–Part 1: Systematic review

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Auteur
Ioannou L.G., Mantzios K., Tsoutsoubi L., Notley S.R., Dinas P.C., Brearley M., Epstein Y., Havenith G., Sawka M.N., Bröde P., Mekjavic I.B., Kenny G.P., Bernard T.E., Nybo L., Flouris A.D.
Date
2022
Language
en
DOI
10.1080/23328940.2022.2037376
Sujet
air temperature
algorithm
behavior change
climate
data analysis
data extraction
environmental parameters
heat
heat stress
human
humidity
meta analysis
meteorology
methodology
nomogram
physiological stress
Preferred Reporting Items for Systematic Reviews and Meta-Analyses
quality control
reliability
Review
risk assessment
sensitivity analysis
software
systematic review
temperature stress
validity
work environment
Taylor and Francis Ltd.
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Résumé
In a series of three companion papers published in this Journal, we identify and validate the available thermal stress indicators (TSIs). In this first paper of the series, we conducted a systematic review (registration: INPLASY202090088) to identify all TSIs and provide reliable information regarding their use (funded by EU Horizon 2020; HEAT-SHIELD). Eight databases (PubMed, Agricultural and Environmental Science Collection, Web of Science, Scopus, Embase, Russian Science Citation Index, MEDLINE, and Google Scholar) were searched from database inception to 15 April 2020. No restrictions on language or study design were applied. Of the 879 publications identified, 232 records were considered for further analysis. This search identified 340 instruments and indicators developed between 200 BC and 2019 AD. Of these, 153 are nomograms, instruments, and/or require detailed non-meteorological information, while 187 can be mathematically calculated utilizing only meteorological data. Of these meteorology-based TSIs, 127 were developed for people who are physically active, and 61 of those are eligible for use in occupational settings. Information regarding the equation, operating range, interpretation categories, required input data, as well as a free software to calculate all 187 meteorology-based TSIs is provided. The information presented in this systematic review should be adopted by those interested in performing on-site monitoring and/or big data analytics for climate services to ensure appropriate use of the meteorology-based TSIs. Studies two and three in this series of companion papers present guidance on the application and validation of these TSIs, to guide end users of these indicators for more effective use. © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
URI
http://hdl.handle.net/11615/74046
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