Evidence map›Paper›PMID 41299528›Full record

ArticleBMC public health2025

Validation of heat strain risk assessment (HSRA) indices compared to wet bulb globe temperature (WBGT) and predicted heat strain (PHS) indices.

Saeid Yazdanirad, Milad Abbasi, Arian Dehghan, Habibollah Dehghan

Abstract readValidation StudyComparative Study
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Saeid YazdaniradSocial Determinants of Health Research Center, Shahrekord University of Medical Sciences, Shahrekord, Iran.ORCID http://orcid.org/0000-0002-5251-6637
Milad AbbasiSocial Determinants of Health Research Center, Saveh University of Medical Sciences, Saveh, Iran.ORCID http://orcid.org/0000-0002-0787-1533
Arian DehghanEnvironmental Research Center, Research Institute for Primordial Prevention of Non-Communicable Disease, Isfahan University of Medical Sciences, Isfahan, Iran.
Habibollah DehghanDepartment of Occupational Health Engineering, School of Public Health, Isfahan University of Medical Sciences, Isfahan, Iran. dehghan1344@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHeat strain risk assessment (HSRA) indices have recently been developed for more precise prediction of heat strain. This study aimed to evaluate the validity of these indices compared to the wet bulb globe temperature (WBGT) and predicted heat strain (PHS) indices under different thermal and occupational conditions.

methodsThis cross-sectional study was performed in environemntal settings of warm-dry and warm-humid in 2024. In the study, 200 Iranian male workers from two warm industries participated. Initially, their demographic data were gathered. Subsequently, they were instructed to perform their usual tasks after a 30-minute rest period. After 90 min of working, physiological and environmental parameters were measured. Additionally, the metabolic rate and clothing thermal insulation of participants were assessed, and they filled out the observational-perceptual heat stress risk assessment (OPHSRA) questionnaire. After that, indices were calculated. The Spearman correlation coefficient was employed to analyze the relationships among them. Additionally, a linear regression analysis was conducted to plot the curve and compute the regression coefficients. Receiver operating characteristic (ROC) analysis was also used to determine the accuracy of these indices.

resultsThe highest regression coefficients were observed between tympanic temperature and PHSRA (R2 = 0.77), EHSRA (R2 = 0.75), and PHS (R2 = 0.72) indices. Similarly, the greatest regression coefficients were found between heart rate and PHSRA (R2 = 0.71), EHSRA (R2 = 0.68), and PHS (R2 = 0.65) indices. The OPHSRA and WBGT indices had the lower regression coefficients with tympanic temperature (R2 = 0.69 and R2 = 0.67) and heart rate (R2 = 0.61 and R2 = 0.42) compared to the aforementioned indices, respectively. Moreover, EHSRA (AUC = 0.950 and AUC = 0.907) and PHSRA (AUC = 0.947 and AUC = 0.900) indices had the highest diagnostic accuracies of ROC curves related to tympanic temperature and heart rate, respectively.

conclusionThe results showed that the HSRA indices have acceptable validity in predicting thermal strain.

Indexed as

Heat Stress DisordersHot TemperatureAdultCross-Sectional StudiesHumansIranMaleRisk AssessmentWorking ConditionsHeart rateHeat stressHSRA indicesThermal strainTympanic temperatureValidity

Identifiers

PMID41299528
PMCPMC12751821

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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.