Abstract
Using a fitting respirator in exercises of heavy metabolic demand may increase the user’s thermal burden, as the metabolic heat typically relieved via respiration is baffled by the mask and less exchanged into the environment. This study investigated the increase in thermoregulatory burden as manifested in skin physiological changes from using N95 filtering-facepiece respirators and simultaneously performing composite movement-based exercises of varying metabolic demand. As the results show, when the participants exercised the transepidermal water loss (TEWL) and skin moisture in the forearm and in the cheek immediately outside the N95 mask rose in accordance with the metabolic intensity of the activity, particularly in the first 10 min (TEWL: 26.9–40.4% increase from the level determined at 0 min; skin moisture: 28.1–250.2% increase). Under high metabolic rate, throughout the entire 30 min of exercise the skin capillary blood flow (SCBF) of the participants increased steadily in both the forearm and cheek (6.4–12.3% increase), signaling a continuous requirement for release of excess metabolic heat. These findings indicated that the respirators and the conditions under which they were used should both be considered when the thermoregulatory burden the users of respirators sustained was evaluated. To prevent potential heat stress in the workplace, it is essential to include in the respirator safety program an ergonomic assessment of workload.
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References
National Research Council (NRC) (2005) Measuring respirator use in the workplace. In: Kalsbeek WD, Plewes TJ, McGowan E (eds) NRC Panel on Review of the National Institute for Occupational Safety and Health/Bureau of Labor Statistics Respirator Use Survey. NRC, Washington, DC
Health and Safety Executive (HSE) (2005) Respiratory protective equipment at work: a practical guide, 3rd edn. HSE53. HSE, Sudbury (2005)
Ramsey JD, Bishop PA (2003) Hot and cold environments. In: DiNardi SR (ed) The occupational environment: its evaluation, control, and management, 2nd edn. American Industrial Hygiene Association, Fairfax, pp 612–645
Yao Y, Lian Z, Liu W, Jiang C, Liu Y, Lu H (2009) Heart rate variation and electroencephalograph - the potential physiological factors for thermal comfort study. Indoor Air 19(2):93–101. https://doi.org/10.1111/j.1600-0668.2008.00565.x
Vorwerg Y, Petroff D, Kiess W, Blüher S (2013) Physical activity in 3–6 year old children measured by SenseWear Pro®: direct accelerometry in the course of the week and relation to weight status, media consumption, and socioeconomic factors. PLoS ONE 8(4):e60619. https://doi.org/10.1371/journal.pone.0060619
Chen C-P, Hwang R-L, Chang S-Y, Lu Y-T (2011) Effects of temperature steps on human skin physiology and thermal sensation response. Build Environ 46(11):2387–2397. https://doi.org/10.1016/j.buildenv.2011.05.021
US National Institute for Occupational Safety and Health (NIOSH) (1987) NIOSH guide to industrial respiratory protection. DHHS (NIOSH) Publication No. 87-116. US Centers for Disease Control and Prevention, NIOSH, Pittsburgh
International Organization for Standardization (ISO) (2004) Ergonomics of the thermal environment—determination of metabolic rate. ISO 8996:2004. ISO, Geneva
Acknowledgments
This study was financially supported by the Ministry of Science and Technology of Taiwan under Project Number MOST 105-2221-E-039-003-MY3.
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Chen, CP., Lin, YC., Wei, HC. (2019). Thermoregulatory Burden from Using Respirators and Performing Composite Movement-Based Exercises of Varying Metabolic Demand. In: Bagnara, S., Tartaglia, R., Albolino, S., Alexander, T., Fujita, Y. (eds) Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018). IEA 2018. Advances in Intelligent Systems and Computing, vol 819. Springer, Cham. https://doi.org/10.1007/978-3-319-96089-0_18
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DOI: https://doi.org/10.1007/978-3-319-96089-0_18
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