Literature DB >> 28424950

Estimated work ability in warm outdoor environments depends on the chosen heat stress assessment metric.

Peter Bröde1, Dusan Fiala2, Bruno Lemke3, Tord Kjellstrom4,5.   

Abstract

With a view to occupational effects of climate change, we performed a simulation study on the influence of different heat stress assessment metrics on estimated workability (WA) of labour in warm outdoor environments. Whole-day shifts with varying workloads were simulated using as input meteorological records for the hottest month from four cities with prevailing hot (Dallas, New Delhi) or warm-humid conditions (Managua, Osaka), respectively. In addition, we considered the effects of adaptive strategies like shielding against solar radiation and different work-rest schedules assuming an acclimated person wearing light work clothes (0.6 clo). We assessed WA according to Wet Bulb Globe Temperature (WBGT) by means of an empirical relation of worker performance from field studies (Hothaps), and as allowed work hours using safety threshold limits proposed by the corresponding standards. Using the physiological models Predicted Heat Strain (PHS) and Universal Thermal Climate Index (UTCI)-Fiala, we calculated WA as the percentage of working hours with body core temperature and cumulated sweat loss below standard limits (38 °C and 7.5% of body weight, respectively) recommended by ISO 7933 and below conservative (38 °C; 3%) and liberal (38.2 °C; 7.5%) limits in comparison. ANOVA results showed that the different metrics, workload, time of day and climate type determined the largest part of WA variance. WBGT-based metrics were highly correlated and indicated slightly more constrained WA for moderate workload, but were less restrictive with high workload and for afternoon work hours compared to PHS and UTCI-Fiala. Though PHS showed unrealistic dynamic responses to rest from work compared to UTCI-Fiala, differences in WA assessed by the physiological models largely depended on the applied limit criteria. In conclusion, our study showed that the choice of the heat stress assessment metric impacts notably on the estimated WA. Whereas PHS and UTCI-Fiala can account for cumulative physiological strain imposed by extended work hours when working heavily under high heat stress, the current WBGT standards do not include this. Advanced thermophysiological models might help developing alternatives, where not only modelling details but also the choice of physiological limit criteria will require attention. There is also an urgent need for suitable empirical data relating workplace heat exposure to workability.

Entities:  

Keywords:  Climate change; Heat stress; Index; Model; Productivity; Work capacity

Mesh:

Year:  2017        PMID: 28424950     DOI: 10.1007/s00484-017-1346-9

Source DB:  PubMed          Journal:  Int J Biometeorol        ISSN: 0020-7128            Impact factor:   3.787


  44 in total

Review 1.  Effects of heat stress on cognitive performance: the current state of knowledge.

Authors:  P A Hancock; I Vasmatzidis
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2.  Efficacy of body ventilation system for reducing strain in warm and hot climates.

Authors:  Troy D Chinevere; Bruce S Cadarette; Daniel A Goodman; Brett R Ely; Samuel N Cheuvront; Michael N Sawka
Journal:  Eur J Appl Physiol       Date:  2008-03-08       Impact factor: 3.078

3.  Wet-bulb globe temperature (WBGT)--its history and its limitations.

Authors:  Grahame M Budd
Journal:  J Sci Med Sport       Date:  2007-08-31       Impact factor: 4.319

4.  The direct impact of climate change on regional labor productivity.

Authors:  Tord Kjellstrom; R Sari Kovats; Simon J Lloyd; Tom Holt; Richard S J Tol
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5.  Self-pacing as a protective mechanism against the effects of heat stress.

Authors:  Veronica Miller; Graham Bates; John D Schneider; Jens Thomsen
Journal:  Ann Occup Hyg       Date:  2011-04-07

6.  The UTCI-clothing model.

Authors:  George Havenith; Dusan Fiala; Krzysztof Błazejczyk; Mark Richards; Peter Bröde; Ingvar Holmér; Hannu Rintamaki; Yael Benshabat; Gerd Jendritzky
Journal:  Int J Biometeorol       Date:  2011-05-24       Impact factor: 3.787

7.  Heat exposure, cardiovascular stress and work productivity in rice harvesters in India: implications for a climate change future.

Authors:  Subhashis Sahu; Moumita Sett; Tord Kjellstrom
Journal:  Ind Health       Date:  2013-05-20       Impact factor: 2.179

8.  WBGT index revisited after 60 years of use.

Authors:  Francesca R d'Ambrosio Alfano; Jacques Malchaire; Boris Igor Palella; Giuseppe Riccio
Journal:  Ann Occup Hyg       Date:  2014-07-25

Review 9.  Heat, Human Performance, and Occupational Health: A Key Issue for the Assessment of Global Climate Change Impacts.

Authors:  Tord Kjellstrom; David Briggs; Chris Freyberg; Bruno Lemke; Matthias Otto; Olivia Hyatt
Journal:  Annu Rev Public Health       Date:  2016-01-21       Impact factor: 21.981

10.  The effect of ambient temperature on gross-efficiency in cycling.

Authors:  Florentina J Hettinga; Jos J De Koning; Aukje de Vrijer; Rob C I Wüst; Hein A M Daanen; Carl Foster
Journal:  Eur J Appl Physiol       Date:  2007-07-28       Impact factor: 3.078

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  10 in total

Review 1.  Occupational heat strain in outdoor workers: A comprehensive review and meta-analysis.

Authors:  Leonidas G Ioannou; Josh Foster; Nathan B Morris; Jacob F Piil; George Havenith; Igor B Mekjavic; Glen P Kenny; Lars Nybo; Andreas D Flouris
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Review 2.  Individual Responses to Heat Stress: Implications for Hyperthermia and Physical Work Capacity.

Authors:  Josh Foster; Simon G Hodder; Alex B Lloyd; George Havenith
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3.  Nonlinear reconstruction of bioclimatic outdoor-environment dynamics for the Lower Silesia region (SW Poland).

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Journal:  Int J Biometeorol       Date:  2021-03-27       Impact factor: 3.787

4.  An advanced empirical model for quantifying the impact of heat and climate change on human physical work capacity.

Authors:  Josh Foster; James W Smallcombe; Simon Hodder; Ollie Jay; Andreas D Flouris; Lars Nybo; George Havenith
Journal:  Int J Biometeorol       Date:  2021-03-05       Impact factor: 3.787

5.  A free software to predict heat strain according to the ISO 7933:2018.

Authors:  Leonidas G Ioannou; Lydia Tsoutsoubi; Konstantinos Mantzios; Andreas D Flouris
Journal:  Ind Health       Date:  2019-03-27       Impact factor: 2.179

6.  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

7.  Bioclimatic conditions of the Lower Silesia region (South-West Poland) from 1966 to 2017.

Authors:  Arkadiusz Głogowski; Krystyna Bryś; Paolo Perona
Journal:  Int J Biometeorol       Date:  2020-10-01       Impact factor: 3.787

8.  The inequality labor loss risk from future urban warming and adaptation strategies.

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Journal:  Nat Commun       Date:  2022-07-06       Impact factor: 17.694

Review 9.  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

10.  New approach to identifying proper thresholds for a heat warning system using health risk increments.

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  10 in total

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