Literature DB >> 23385435

Effects of various protective clothing and thermal environments on heat strain of unacclimated men: the PHS (predicted heat strain) model revisited.

Faming Wang1, Chuansi Gao, Kalev Kuklane, Ingvar Holmér.   

Abstract

Five protective garments (light summer clothing L, high visibility clothing HV, military clothing MIL, climber coverall CLM and firefighting clothing FIRE) were assessed on eight unacclimated male subjects at two environments: moderate warm environment with high humidity (MWH, 20.0°C, 86% relative humidity) and warm environment with moderate humidity (WMH, 30.0°C, 47% relative humidity). The thermophysiological responses and subjective sensations were reported. The PHS model (ISO7933) was used for predicting thermophysiological responses for each testing scenario. It was found that there were significant differences between clothing FIRE and other clothing on thermal sensation (p<0.05). Significant differences were found on skin humidity sensation between FIRE and L, HV or MIL (p<0.001). The RPE value in FIRE is significantly different with L and HV (p<0.05). In MWH, the post-exercise mean skin temperatures increased by 0.59 and 1.29°C in MIL and CLM. In contrast, mean skin temperatures in L, HV, MIL, CLM and FIRE in WMH increased by 1.7, 2.1, 2.1, 2.8 and 3.3°C, respectively. The PHS model presented good performance on predicted mean skin temperatures in MIL and CLM at the two studied environments. However, the skin temperature prediction with light clothing in WMH was weak. For thick protective clothing, the prediction on rectal temperature was protective. It is thus concluded that the results generated by the PHS model for high insulating clothing and measurements performed in high humidity environments should be explained with caution.

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Year:  2013        PMID: 23385435     DOI: 10.2486/indhealth.2012-0073

Source DB:  PubMed          Journal:  Ind Health        ISSN: 0019-8366            Impact factor:   2.179


  10 in total

1.  Estimating core body temperature using electrocardiogram signals.

Authors:  Chie Kurosaka; Takashi Maruyama; Shimpei Yamada; Yuriko Hachiya; Yoichi Ueta; Toshiaki Higashi
Journal:  PLoS One       Date:  2022-06-28       Impact factor: 3.752

2.  Use of Thermoregulatory Models to Evaluate Heat Stress in Industrial Environments.

Authors:  Irena I Yermakova; Adam W Potter; António M Raimundo; Xiaojiang Xu; Jason W Hancock; A Virgilio M Oliveira
Journal:  Int J Environ Res Public Health       Date:  2022-06-29       Impact factor: 4.614

Review 3.  Skin Temperature Measurement Using Contact Thermometry: A Systematic Review of Setup Variables and Their Effects on Measured Values.

Authors:  Braid A MacRae; Simon Annaheim; Christina M Spengler; René M Rossi
Journal:  Front Physiol       Date:  2018-01-30       Impact factor: 4.566

Review 4.  Occupational heat stress assessment and protective strategies in the context of climate change.

Authors:  Chuansi Gao; Kalev Kuklane; Per-Olof Östergren; Tord Kjellstrom
Journal:  Int J Biometeorol       Date:  2017-04-25       Impact factor: 3.787

5.  Insulation and Evaporative Resistance of Clothing for Sugarcane Harvesters and Chemical Sprayers, and Their Application in PHS Model-Based Exposure Predictions.

Authors:  Kalev Kuklane; Róbert Toma; Rebekah A I Lucas
Journal:  Int J Environ Res Public Health       Date:  2020-04-28       Impact factor: 3.390

6.  Occupational heat stress In USA: whither we go?

Authors:  Thomas E Bernard
Journal:  Ind Health       Date:  2014       Impact factor: 2.179

7.  Impact of Different Personal Protective Clothing on Wildland Firefighters' Physiological Strain.

Authors:  Belén Carballo-Leyenda; José G Villa; Jorge López-Satué; Jose A Rodríguez-Marroyo
Journal:  Front Physiol       Date:  2017-08-24       Impact factor: 4.566

Review 8.  Is There a Need to Integrate Human Thermal Models with Weather Forecasts to Predict Thermal Stress?

Authors:  Jakob Petersson; Kalev Kuklane; Chuansi Gao
Journal:  Int J Environ Res Public Health       Date:  2019-11-19       Impact factor: 3.390

9.  The Effects of the Dynamic Thermophysical Properties of Clothing and the Walking Speed Input Parameter on the Heat Strain of a Human Body Predicted by the PHS Model.

Authors:  Qianqian Huang; Jun Li
Journal:  Int J Environ Res Public Health       Date:  2020-09-05       Impact factor: 3.390

10.  Comparison of correction factor for both dynamic total thermal insulation and evaporative resistance between ISO 7933 and ISO 9920.

Authors:  Satoru Ueno
Journal:  J Physiol Anthropol       Date:  2020-08-24       Impact factor: 2.867

  10 in total

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