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Research Article

Development of a bioheat model for older people under hot and cold exposures

Lili Ji1,2, Abdelaziz Laouadi1( ), Liangzhu Wang2, Michael A. Lacasse1
Construction Research Centre, National Research Council Canada, 1200 Montréal Road, Ottawa, ON K1A 0R6, Canada
Department of Building, Civil and Environmental Engineering, Concordia University, 1455 De Maisonneuve Blvd. W. Montreal, QC H3G 1M8, Canada
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Abstract

Physiological modeling is important to evaluate the effects of heat and cold conditions on people's thermal comfort and health. Experimental studies have found that older people (above 65 year old) undergo age-related weakening changes in their physiology and thermoregulatory activities, which makes them more vulnerable to heat or cold exposure than average aged young adults. However, addressing the age-related changes by modeling has been challenging due to their wide variability among the older population. This study develops a two-node physiological model to predict the thermal response of older people. The model is built on a newly developed two-node model for average-age young adults by accounting for the age-related attenuation of thermoregulation and sensory delays in triggering thermoregulatory actions. A numerical optimization method is developed to compute the model parameter values based on selected benchmark data from the literature. The proposed model is further validated with published measurement data covering large input ranges. The model predictions are in good agreement with the measurements in hot and cold exposure conditions with a discrepancy 0.60 ℃ for the mean skin temperature and of 0.30 ℃ for the core temperature. The proposed model can be integrated into building simulation tools to predict heat and cold stress levels and the associated thermal comfort for older people in built environments.

Keywords

thermal comfortheat stressolder peoplephysiological modelingage-related changescold stress

References

 

Akbari Rad S, Joshaghani HR, Khoshnia M, et al. (2016). Comparison of serum strontium and antimony levels in patients with esophageal cancer and healthy people. Medical Laboratory Journal, 10: 9–11.
Crossref Google Scholar
 

Anderson GS, Meneilly GS, Mekjavic IB (1996). Passive temperature lability in the elderly. European Journal of Applied Physiology and Occupational Physiology, 73: 278–286.
Crossref Google Scholar
 

Appenzeller U, Meyer C, Menz G, et al. (1999). IgE-mediated reactions to autoantigens in allergic diseases. International Archives of Allergy and Immunology, 118: 193–6.
Crossref Google Scholar
 

Armstrong CG, Kenney WL (1993). Effects of age and acclimation on responses to passive heat exposure. Journal of Applied Physiology, 75: 2162–2167.
Crossref Google Scholar
 
ASHRAE-55 (2017). ANSI/ASHRAE Standard 55-2017. Thermal Environmental Conditions for Human Occupancy. Atlanta, GA, USA: American Society of Heating Refrigerating and Air Conditioning Engineers.
 

Balmain BN, Sabapathy S, Louis M, et al. (2018). Aging and thermoregulatory control: The clinical implications of exercising under heat stress in older individuals. BioMed Research International, 2018: 1–12.
Crossref Google Scholar
 

Coccarelli A, Hasan HM, Carson J, et al. (2018). Influence of ageing on human body blood flow and heat transfer: A detailed computational modelling study. International Journal for Numerical Methods in Biomedical Engineering, 34: e3120.
Crossref Google Scholar
 

Collins KJ, Dore C, Exton-Smith AN, et al. (1977). Accidental hypothermia and impaired temperature homoeostasis in the elderly. British Medical Journal, 1(6057): 353–356.
Crossref Google Scholar
 

DeGroot DW, Kenney WL (2007). Impaired defense of core temperature in aged humans during mild cold stress. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, 292: R103–R108.
Crossref Google Scholar
 
DOE (2019). EnergyPlus V9.2. Available at https://energyplus.net/
 

Dufour A, Candas V (2007). Ageing and thermal responses during passive heat exposure: Sweating and sensory aspects. European Journal of Applied Physiology, 100: 19–26.
Crossref Google Scholar
 

El-Gamal N, El-Kassabany N, Frank SM, et al. (2000). Age-related thermoregulatory differences in a warm operating room environment (approximately 26℃). Anesthesia and Analgesia, 90: 694–698.
Crossref Google Scholar
 

Elmadfa I, Meyer AL (2008). Body composition, changing physiological functions and nutrient requirements of the elderly. Annals of Nutrition and Metabolism, 52: 2–5.
Crossref Google Scholar
 

Enescu D (2019). Models and indicators to assess thermal sensation under steady-state and transient conditions. Energies, 12: 841.
Crossref Google Scholar
 

Fiala D, Havenith G, Bröde P, et al. (2012). UTCI-Fiala multi-node model of human heat transfer and temperature regulation. International Journal of Biometeorology, 56: 429–441.
Crossref Google Scholar
 

Frank SM, Raja SN, Bulcao C, et al. (2000). Age-related thermoregulatory differences during core cooling in humans. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, 279: R349–R354.
Crossref Google Scholar
 

Frisard MI, Broussard A, Davies SS, et al. (2007). Aging, resting metabolic rate, and oxidative damage: results from the Louisiana healthy aging study. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences, 62: 752–759.
Crossref Google Scholar
 

Fukagawa NK, Kenney WL, Buskirk ER (1995). Functional consequences of sarcopenia: Effects on thermoregulation. The Journals of Gerontology Series A: Biological Sciences and Medical Sciences, 50A: 78–85.
Crossref Google Scholar
 

Gagge A, Fobelets A, Berglund L (1986). A standard predictive index of human response to the thermal environment. ASHRAE Transactions, 92(2): 709–731.
Google Scholar
 
Government of Canada (2014). Action for Seniors report. https://www.canada.ca/en/employment-social-development/programs/seniors-action-report.html
 

Greaney JL, Stanhewicz AE, Wolf ST, et al. (2021). Thermoregulatory reflex control of cutaneous vasodilation in healthy aging. Temperature, 8: 176–187.
Crossref Google Scholar
 

Guergova S, Dufour A (2011). Thermal sensitivity in the elderly: A review. Ageing Research Reviews, 10: 80–92.
Crossref Google Scholar
 

Haman F, Blondin D, Imbeault MA, et al. (2010). Metabolic requirements of shivering humans. Frontiers in Bioscience - Scholar, 2 S: 1155–1168.
Crossref Google Scholar
 

Hirata A, Nomura T, Laakso I (2015). Computational estimation of body temperature and sweating in the aged during passive heat exposure. International Journal of Thermal Sciences, 89: 154–163.
Crossref Google Scholar
 

Holowatz LA, Houghton BL, Wong BJ, et al. (2003). Nitric oxide and attenuated reflex cutaneous vasodilation in aged skin. American Journal of Physiology—Heart and Circulatory Physiology, 284: H1662–H1667.
Crossref Google Scholar
 

Holowatz LA, Kenney WL (2010). Peripheral mechanisms of thermoregulatory control of skin blood flow in aged humans. Journal of Applied Physiology, 109: 1538–1544.
Crossref Google Scholar
 

Inbar O, Morris N, Epstein Y, et al. (2004). Comparison of thermoregulatory responses to exercise in dry heat among prepubertal boys, young adults and older males. Experimental Physiology, 89: 691–700.
Crossref Google Scholar
 

Inoue Y, Nakao M, Araki T, et al. (1992). Thermoregulatory responses of young and older men to cold exposure. European Journal of Applied Physiology and Occupational Physiology, 65: 492–498.
Crossref Google Scholar
 

Inoue Y (1996). Longitudinal effects of age on heat-activated sweat gland density and output in healthy active older men. European Journal of Applied Physiology and Occupational Physiology, 74: 72–77.
Crossref Google Scholar
 

Inoue Y, Havenith G, Kenney WL, et al. (1999). Exercise- and methylcholine-induced sweating responses in older and younger men: Effect of heat acclimation and aerobic fitness. International Journal of Biometeorology, 42: 210–216.
Crossref Google Scholar
 
ISO 7933 (2018). Ergonomics of the thermal environment. Analytical determination and interpretation of heat stress using calculation of the predicted heat strain.
 

Issahaku PA, Neysmith S (2013). Policy implications of population ageing in West Africa. International Journal of Sociology and Social Policy, 33: 186–202.
Crossref Google Scholar
 

Itani M, Ghaddar N, Ghali K, et al. (2020a). Bioheat modeling of elderly and young for prediction of physiological and thermal responses in heat-stressful conditions. Journal of Thermal Biology, 88: 102533.
Crossref Google Scholar
 

Itani M, Ghaddar N, Ghali K, et al. (2020b). Development of heat stress charts for older people under indoor environmental conditions. Energy and Buildings, 224: 110274.
Crossref Google Scholar
 

Ji L, Laouadi A, Shu C, et al. (2021). Evaluation and improvement of the thermoregulatory system for the two-node bioheat model. Energy and Buildings, 249: 111235.
Crossref Google Scholar
 

Karaki W, Ghaddar N, Ghali K, et al. (2013). Human thermal response with improved AVA modeling of the digits. International Journal of Thermal Sciences, 67: 41–52.
Crossref Google Scholar
 

Kenney W, Havenith G (1993). Heat stress and age: Skin blood flow and body temperature. Journal of Thermal Biology, 18: 341–344.
Crossref Google Scholar
 

Kenney WL, Munce TA (2003). Invited Review: Aging and human temperature regulation. Journal of Applied Physiology, 95: 2598–2603.
Crossref Google Scholar
 
Klein SA, Beckman WA, Mitchell JW, et al. (2004). TRNSYS 16–A TRaNsient system simulation program, user manual. Solar Energy Laboratory. Madison, WI, USA: University of Wisconsin- Madison.
 

Kubota H, Kuwabara K, Hamada Y (2014). The development and initial validation of a virtual dripping sweat rate and a clothing wetness ratio for use in predictive heat strain models. International Journal of Biometeorology, 58: 1339–1353.
Crossref Google Scholar
 

Larose J, Boulay P, Sigal RJ, et al. (2013). Age-related decrements in heat dissipation during physical activity occur as early as the age of 40. PLoS ONE, 8(12): e83148.
Crossref Google Scholar
 

Liu W, Lian Z, Deng Q, et al. (2011). Evaluation of calculation methods of mean skin temperature for use in thermal comfort study. Building and Environment, 46: 478–488.
Crossref Google Scholar
 

Ma T, Xiong J, Lian Z (2017). A human thermoregulation model for the Chinese elderly. Journal of Thermal Biology, 70: 2–14.
Crossref Google Scholar
 

Mba CJ (2010). Population ageing in Ghana: Research gaps and the way forward. Journal of Aging Research, 2010: 672157.
Crossref Google Scholar
 

Minto CF, Schnider T, Cohane CA, et al. (1994). The hemodynamic effects of remifentanil in volunteers over 70. Anesthesiology, 81: A12.
Crossref Google Scholar
 
Novieto DT (2013). Adapting a human thermoregulation model for predicting the thermal response of older persons. PhD Thesis, De Montfort University, UK.
 

Ozaki M, Sessler DI, Matsukawa T, et al. (1997). The threshold for thermoregulatory vasoconstriction during nitrous oxide/sevoflurane anesthesia is reduced in the elderly. Anesthesia & Analgesia, 84: 1029–1033.
Crossref Google Scholar
 

Pierzga JM, Frymoyer A, Kenney WL (2003). Delayed distribution of active vasodilation and altered vascular conductance in aged skin. Journal of Applied Physiology, 94: 1045–1053.
Crossref Google Scholar
 

Plattner R, Heerema N, Howard-Peebles P, et al. (1993). Clinical findings in patients with marker chromosomes identified by fluorescence in situ hybridization. Human Genetics, 91: 589–598.
Crossref Google Scholar
 

Rida M, Ghaddar N, Ghali K, et al. (2014). Elderly bioheat modeling: changes in physiology, thermoregulation, and blood flow circulation. International Journal of Biometeorology, 58: 1825–1843.
Crossref Google Scholar
 

Rida M, Kelly N (2017). Toward better estimation of HVAC Loads: integrating a detailed human thermal model into building simulation. Energy Procedia, 122: 1147–1152.
Crossref Google Scholar
 

Sagawa S, Shiraki K, Yousef MK, et al. (1988). Sweating and cardiovascular responses of aged men to heat exposure. Journal of Gerontology, 43: M1–M8.
Crossref Google Scholar
 

Schellen L, van Marken Lichtenbelt WD, et al. (2010). Differences between young adults and elderly in thermal comfort, productivity, and thermal physiology in response to a moderate temperature drift and a steady-state condition. Indoor Air, 20: 273–283.
Crossref Google Scholar
 

Sessler DI, Warner DS, Warner MA (2008). Temperature monitoring and perioperative thermoregulation. Anesthesiology, 109: 318–338.
Crossref Google Scholar
 

Soebarto V, Zhang H, Schiavon S (2019). A thermal comfort environmental chamber study of older and younger people. Building and Environment, 155: 1–14.
Crossref Google Scholar
 

Stapleton JM, Larose J, Simpson C, et al. (2014a). Do older adults experience greater thermal strain during heat waves? Applied Physiology, Nutrition, and Metabolism, 39: 292–298.
Crossref Google Scholar
 

Stapleton JM, Fujii N, McGinn R, et al. (2014). Age-related differences in postsynaptic increases in sweating and skin blood flow postexercise. Physiological Reports, 2(7): e12078.
Crossref Google Scholar
 

Takada S, Matsumoto S, Matsushita T (2013). Prediction of whole- body thermal sensation in the non-steady state based on skin temperature. Building and Environment, 68: 123–133.
Crossref Google Scholar
 

Tankersley CG, Smolander J, Kenney WL, et al. (1991). Sweating and skin blood flow during exercise: effects of age and maximal oxygen uptake. Journal of Applied Physiology, 71: 236–242.
Crossref Google Scholar
 

Tartarini F, Schiavon S, Cheung T, et al. (2020). CBE Thermal Comfort Tool: Online tool for thermal comfort calculations and visualizations. SoftwareX, 12: 100563.
Crossref Google Scholar
 

Tejedor B, Casals M, Gangolells M, et al. (2020). Human comfort modelling for elderly people by infrared thermography: Evaluating the thermoregulation system responses in an indoor environment during winter. Building and Environment, 186: 107354.
Crossref Google Scholar
 

Tochihara Y, Tadakatsu O, Tsuzuki K, et al. (1993). Comparison of thermal responses with and without cold protective clothing in a warm environment after severe cold exposures. Journal of Thermal Biology, 18: 639–642.
Crossref Google Scholar
 
Tsuzuki K, Ohfuku T (2002). Thermal sensation and thermoregulation in elderly compared to young people in Japanese winter season. In: Proceedings of the 9th international conference on indoor air quality and climate, Monterey, CA, USA
 

van Hoof J, Schellen L, Soebarto V, et al. (2017). Ten questions concerning thermal comfort and ageing. Building and Environment, 120: 123–133.
Crossref Google Scholar
 

van Pelt RE, Evans EM, Schechtman KB, et al. (2002). Contributions of total and regional fat mass to risk for cardiovascular disease in older women. American Journal of Physiology-Endocrinology and Metabolism, 282: E1023–E1028.
Crossref Google Scholar
 

Waller JM, Maibach HI (2005). Age and skin structure and function, a quantitative approach (I): blood flow, pH, thickness, and ultrasound echogenicity. Skin Research and Technology, 11: 221–235.
Crossref Google Scholar
 

Wang Z, Yu H, Jiao Y, et al. (2018). A field study of thermal sensation and neutrality in free-running aged-care homes in Shanghai. Energy and Buildings, 158: 1523–1532.
Crossref Google Scholar
 

Wang Z, Wang J, He Y, et al. (2020). Dimension analysis of subjective thermal comfort metrics based on ASHRAE Global Thermal Comfort Database using machine learning. Journal of Building Engineering, 29: 101120.
Crossref Google Scholar
 

Xiong J, Ma T, Lian Z, et al. (2019). Perceptual and physiological responses of elderly subjects to moderate temperatures. Building and Environment, 156: 117–122.
Crossref Google Scholar
 

Zhang S, Lin Z (2021). Predicted Mean Vote with skin wettedness from standard effective temperature model. Building and Environment, 187: 107412.
Crossref Google Scholar
 

Zhao Q, Lian Z, Lai D (2021). Thermal comfort models and their developments: A review. Energy and Built Environment, 2: 21–33.
Crossref Google Scholar
Building Simulation
Volume 15 Issue 10,
October 2022
Pages 1815-1829
DOI: 10.1007/s12273-022-0890-3
Cite this article:
Ji L, Laouadi A, Wang L, et al. Development of a bioheat model for older people under hot and cold exposures. Building Simulation, 2022, 15(10): 1815-1829. https://doi.org/10.1007/s12273-022-0890-3

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Received: 15 December 2021
Revised: 27 January 2022
Accepted: 13 February 2022
Published: 07 March 2022
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