Indicators to assess physiological heat strain – Part 1: Systematic review
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Indicators to assess physiological heat strain – Part 1: Systematic review. / Ioannou, Leonidas G; Mantzios, Konstantinos; Tsoutsoubi, Lydia; Notley, Sean R; Dinas, Petros C; Brearley, Matt; Epstein, Yoram; Havenith, George; Sawka, Michael N; Bröde, Peter; Mekjavic, Igor B; Kenny, Glen P; Bernard, Thomas E; Nybo, Lars; Flouris, Andreas D.
In: Temperature, Vol. 9, No. 3, 2022, p. 227-262.Research output: Contribution to journal › Review › Research › peer-review
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TY - JOUR
T1 - Indicators to assess physiological heat strain – Part 1: Systematic review
AU - Ioannou, Leonidas G
AU - Mantzios, Konstantinos
AU - Tsoutsoubi, Lydia
AU - Notley, Sean R
AU - Dinas, Petros C
AU - Brearley, Matt
AU - Epstein, Yoram
AU - Havenith, George
AU - Sawka, Michael N
AU - Bröde, Peter
AU - Mekjavic, Igor B
AU - Kenny, Glen P
AU - Bernard, Thomas E
AU - Nybo, Lars
AU - Flouris, Andreas D
N1 - Publisher Copyright: © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - Exercise
KW - Heat indices
KW - Heat strain
KW - Hyperthermia
KW - Labour
KW - Occupational
KW - Temperature
KW - Thermal indices
KW - Work
U2 - 10.1080/23328940.2022.2037376
DO - 10.1080/23328940.2022.2037376
M3 - Review
C2 - 36211945
AN - SCOPUS:85135267683
VL - 9
SP - 227
EP - 262
JO - Temperature
JF - Temperature
SN - 2332-8940
IS - 3
ER -
ID: 316059234