Determining Cold Strain in Cold Air: A Comparison of Two Methods of Partitional Calorimetry to Calculate Heat Storage and Debt in Cold Air with Mild hypothermia.
{"title":"Determining Cold Strain in Cold Air: A Comparison of Two Methods of Partitional Calorimetry to Calculate Heat Storage and Debt in Cold Air with Mild hypothermia.","authors":"Phillip Wallace, Geoff Hartley, Stephen S Cheung","doi":"10.1139/apnm-2024-0204","DOIUrl":null,"url":null,"abstract":"<p><p>We compared two methods of partitional calorimetry to calculate heat storage and heat debt during cold air (0°C) exposure causing mild core cooling. Twelve participants performed a 5-min baseline in thermoneutral conditions (~22.0°C, ~50% relative humidity) followed by cold air exposure (~0°C) until rectal temperature was reduced by ∆-0.5°C. Partitional calorimetry was used to calculate avenues of heat exchange (radiative, convective, and evaporative), heat storage, and heat debt continuously throughout cold exposure. We compared deriving these variables using prediction equations based on environmental and participant characteristics (PCALPRED) versus using measurement tools such as humidity sensors and heat flux discs (PCALHF). There were significant differences between methods (all p ≤ 0.001) for determining heat exchange, heat storage, and heat debt. At ∆-0.5°C, PCALHF had greater levels of radiative and convective heat exchange (PCALHF: -143.0 ± 16.8 W∙m2 vs PCALPRED: -123.0 ± 12.9 W∙m2, p ≤ 0.001), evaporative heat exchange (PCALHF: -9.0 ± 1.7 W∙m2 vs PCALPRED: -4.1 ± 0.0 W∙m2, p ≤ 0.001), heat storage (PCALHF: -15.0 ± 31.0 W∙m2 vs PCALPRED: +6.0 ± 25.9 W∙m2, p = 0.020), and heat debt (PCALHF: -692.0 ± 315.0 kJ vs PCALPRED: -422.0 ± 136.0 kJ, p ≤ 0.001). Overall, this study found the largest discrepancies between the two methods was when the environmental conditions and skin temperature were in high flux, as well as when core temperature was reduced by ∆-0.5°C. The use of PCALHF may be more advantageous to use in the cold to provide a higher resolution measurement of cold strain.</p>","PeriodicalId":93878,"journal":{"name":"Applied physiology, nutrition, and metabolism = Physiologie appliquee, nutrition et metabolisme","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied physiology, nutrition, and metabolism = Physiologie appliquee, nutrition et metabolisme","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1139/apnm-2024-0204","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
We compared two methods of partitional calorimetry to calculate heat storage and heat debt during cold air (0°C) exposure causing mild core cooling. Twelve participants performed a 5-min baseline in thermoneutral conditions (~22.0°C, ~50% relative humidity) followed by cold air exposure (~0°C) until rectal temperature was reduced by ∆-0.5°C. Partitional calorimetry was used to calculate avenues of heat exchange (radiative, convective, and evaporative), heat storage, and heat debt continuously throughout cold exposure. We compared deriving these variables using prediction equations based on environmental and participant characteristics (PCALPRED) versus using measurement tools such as humidity sensors and heat flux discs (PCALHF). There were significant differences between methods (all p ≤ 0.001) for determining heat exchange, heat storage, and heat debt. At ∆-0.5°C, PCALHF had greater levels of radiative and convective heat exchange (PCALHF: -143.0 ± 16.8 W∙m2 vs PCALPRED: -123.0 ± 12.9 W∙m2, p ≤ 0.001), evaporative heat exchange (PCALHF: -9.0 ± 1.7 W∙m2 vs PCALPRED: -4.1 ± 0.0 W∙m2, p ≤ 0.001), heat storage (PCALHF: -15.0 ± 31.0 W∙m2 vs PCALPRED: +6.0 ± 25.9 W∙m2, p = 0.020), and heat debt (PCALHF: -692.0 ± 315.0 kJ vs PCALPRED: -422.0 ± 136.0 kJ, p ≤ 0.001). Overall, this study found the largest discrepancies between the two methods was when the environmental conditions and skin temperature were in high flux, as well as when core temperature was reduced by ∆-0.5°C. The use of PCALHF may be more advantageous to use in the cold to provide a higher resolution measurement of cold strain.