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Development of a personal heat strain risk assessment (PHSRA) index in workplaces and its validation
BACKGROUND: There is not a comprehensive heat stress index to screen the people susceptible to heat disorders and illnesses in hot workplaces. The present study was aimed to develop a personal heat strain risk assessment (PHSRA) index in workplaces and validate it. METHODS: This cross-sectional stud...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7268248/ https://www.ncbi.nlm.nih.gov/pubmed/32493326 http://dx.doi.org/10.1186/s12889-020-08874-4 |
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author | Yazdanirad, Saeid Golbabaei, Farideh Monazzam, Mohammad Reza Dehghan, Habibollah Foroushani, Abbas Rahimi |
author_facet | Yazdanirad, Saeid Golbabaei, Farideh Monazzam, Mohammad Reza Dehghan, Habibollah Foroushani, Abbas Rahimi |
author_sort | Yazdanirad, Saeid |
collection | PubMed |
description | BACKGROUND: There is not a comprehensive heat stress index to screen the people susceptible to heat disorders and illnesses in hot workplaces. The present study was aimed to develop a personal heat strain risk assessment (PHSRA) index in workplaces and validate it. METHODS: This cross-sectional study was carried out on 201 Iranian male employees under various thermal conditions. At first, the demographical data of participants were gathered. After that, the heart rate and tympanic temperature of the subjects were carefully measured at times of 30, 60, and 90 min of starting the work. Environmental factors were measured simultaneously. The metabolism rate and insulation value of clothes were also estimated. At the end, a novel index of the heat strain was developed using structural equation modeling in AMOS and validated using linear regression analysis in SPSS. RESULTS: Indirect effect coefficients of personal factors including age, body mass index, maximum aerobic capacity, and body surface area were equal to 0.031, 0.145, − 0.064, and 0.106, respectively. The coefficients of main factors including dry temperature, wet temperature, globe temperature, wind speed, metabolism, and clothing thermal insulation were obtained as 0.739, 0.688, 0.765, 0.245, 0.482, and 0.383, respectively. These coefficients and normalized values of the factors were used to develop a novel index. The total score of the index was categorized into four levels by optimal cut-off points of 12.93, 16.48, and 18.87. Based on the results of regression analysis, this index justifies 77% of the tympanic temperature as a dependent variable (R(2) = 0.77). CONCLUSIONS: In general, the results indicated that the novel index developed by the personal and main factors had proper validity in the prediction of thermal strain. |
format | Online Article Text |
id | pubmed-7268248 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-72682482020-06-07 Development of a personal heat strain risk assessment (PHSRA) index in workplaces and its validation Yazdanirad, Saeid Golbabaei, Farideh Monazzam, Mohammad Reza Dehghan, Habibollah Foroushani, Abbas Rahimi BMC Public Health Research Article BACKGROUND: There is not a comprehensive heat stress index to screen the people susceptible to heat disorders and illnesses in hot workplaces. The present study was aimed to develop a personal heat strain risk assessment (PHSRA) index in workplaces and validate it. METHODS: This cross-sectional study was carried out on 201 Iranian male employees under various thermal conditions. At first, the demographical data of participants were gathered. After that, the heart rate and tympanic temperature of the subjects were carefully measured at times of 30, 60, and 90 min of starting the work. Environmental factors were measured simultaneously. The metabolism rate and insulation value of clothes were also estimated. At the end, a novel index of the heat strain was developed using structural equation modeling in AMOS and validated using linear regression analysis in SPSS. RESULTS: Indirect effect coefficients of personal factors including age, body mass index, maximum aerobic capacity, and body surface area were equal to 0.031, 0.145, − 0.064, and 0.106, respectively. The coefficients of main factors including dry temperature, wet temperature, globe temperature, wind speed, metabolism, and clothing thermal insulation were obtained as 0.739, 0.688, 0.765, 0.245, 0.482, and 0.383, respectively. These coefficients and normalized values of the factors were used to develop a novel index. The total score of the index was categorized into four levels by optimal cut-off points of 12.93, 16.48, and 18.87. Based on the results of regression analysis, this index justifies 77% of the tympanic temperature as a dependent variable (R(2) = 0.77). CONCLUSIONS: In general, the results indicated that the novel index developed by the personal and main factors had proper validity in the prediction of thermal strain. BioMed Central 2020-06-03 /pmc/articles/PMC7268248/ /pubmed/32493326 http://dx.doi.org/10.1186/s12889-020-08874-4 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Yazdanirad, Saeid Golbabaei, Farideh Monazzam, Mohammad Reza Dehghan, Habibollah Foroushani, Abbas Rahimi Development of a personal heat strain risk assessment (PHSRA) index in workplaces and its validation |
title | Development of a personal heat strain risk assessment (PHSRA) index in workplaces and its validation |
title_full | Development of a personal heat strain risk assessment (PHSRA) index in workplaces and its validation |
title_fullStr | Development of a personal heat strain risk assessment (PHSRA) index in workplaces and its validation |
title_full_unstemmed | Development of a personal heat strain risk assessment (PHSRA) index in workplaces and its validation |
title_short | Development of a personal heat strain risk assessment (PHSRA) index in workplaces and its validation |
title_sort | development of a personal heat strain risk assessment (phsra) index in workplaces and its validation |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7268248/ https://www.ncbi.nlm.nih.gov/pubmed/32493326 http://dx.doi.org/10.1186/s12889-020-08874-4 |
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