Estimated work ability in warm outdoor environments depends on the chosen heat stress assessment metric
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 meteorologic...
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description | 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. |
doi_str_mv | 10.1007/s00484-017-1346-9 |
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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.</description><identifier>ISSN: 0020-7128</identifier><identifier>EISSN: 1432-1254</identifier><identifier>DOI: 10.1007/s00484-017-1346-9</identifier><identifier>PMID: 28424950</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Animal Physiology ; Biological and Medical Physics ; Biophysics ; Body temperature ; Body weight ; Climate change ; Climate effects ; Climate models ; Climatic indexes ; Computer simulation ; Core loss ; Earth and Environmental Science ; Environment ; Environmental Health ; Heat ; Heat stress ; Heat tolerance ; Meteorology ; Occupational exposure ; Physiology ; Plant Physiology ; Schedules ; Solar radiation ; Solar radiation shielding ; Special Issue on Trans-disciplinary approaches to climate change ; Strain ; Sweat ; Threshold limits ; Time of use ; Variance analysis ; Workability ; Working conditions ; Working hours ; Workload ; Workloads</subject><ispartof>International journal of biometeorology, 2018-03, Vol.62 (3), p.331-345</ispartof><rights>ISB 2017</rights><rights>International Journal of Biometeorology is a copyright of Springer, (2017). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c438t-6e173d26ee3cb38bd987555d56b6a3b8a2776e60022be3b259dc95412f6bc05a3</citedby><cites>FETCH-LOGICAL-c438t-6e173d26ee3cb38bd987555d56b6a3b8a2776e60022be3b259dc95412f6bc05a3</cites><orcidid>0000-0001-8107-704X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00484-017-1346-9$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00484-017-1346-9$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,777,781,27905,27906,41469,42538,51300</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28424950$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bröde, Peter</creatorcontrib><creatorcontrib>Fiala, Dusan</creatorcontrib><creatorcontrib>Lemke, Bruno</creatorcontrib><creatorcontrib>Kjellstrom, Tord</creatorcontrib><title>Estimated work ability in warm outdoor environments depends on the chosen heat stress assessment metric</title><title>International journal of biometeorology</title><addtitle>Int J Biometeorol</addtitle><addtitle>Int J Biometeorol</addtitle><description>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.</description><subject>Animal Physiology</subject><subject>Biological and Medical Physics</subject><subject>Biophysics</subject><subject>Body temperature</subject><subject>Body weight</subject><subject>Climate change</subject><subject>Climate effects</subject><subject>Climate models</subject><subject>Climatic indexes</subject><subject>Computer simulation</subject><subject>Core loss</subject><subject>Earth and Environmental Science</subject><subject>Environment</subject><subject>Environmental Health</subject><subject>Heat</subject><subject>Heat stress</subject><subject>Heat tolerance</subject><subject>Meteorology</subject><subject>Occupational exposure</subject><subject>Physiology</subject><subject>Plant Physiology</subject><subject>Schedules</subject><subject>Solar radiation</subject><subject>Solar radiation shielding</subject><subject>Special Issue on Trans-disciplinary approaches to climate change</subject><subject>Strain</subject><subject>Sweat</subject><subject>Threshold limits</subject><subject>Time of use</subject><subject>Variance analysis</subject><subject>Workability</subject><subject>Working conditions</subject><subject>Working 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depends on the chosen heat stress assessment metric</atitle><jtitle>International journal of biometeorology</jtitle><stitle>Int J Biometeorol</stitle><addtitle>Int J Biometeorol</addtitle><date>2018-03-01</date><risdate>2018</risdate><volume>62</volume><issue>3</issue><spage>331</spage><epage>345</epage><pages>331-345</pages><issn>0020-7128</issn><eissn>1432-1254</eissn><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.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>28424950</pmid><doi>10.1007/s00484-017-1346-9</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0001-8107-704X</orcidid></addata></record> |
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subjects | Animal Physiology Biological and Medical Physics Biophysics Body temperature Body weight Climate change Climate effects Climate models Climatic indexes Computer simulation Core loss Earth and Environmental Science Environment Environmental Health Heat Heat stress Heat tolerance Meteorology Occupational exposure Physiology Plant Physiology Schedules Solar radiation Solar radiation shielding Special Issue on Trans-disciplinary approaches to climate change Strain Sweat Threshold limits Time of use Variance analysis Workability Working conditions Working hours Workload Workloads |
title | Estimated work ability in warm outdoor environments depends on the chosen heat stress assessment metric |
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