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Female anthropometric variability and their effects on predicted thermoregulatory responses to work in the heat

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Abstract

The use of thermoregulatory models for assessing physiological responses of workers in thermally stressful situations has been increasing because of the risks and costs related to human studies. In a previous study (Yokota et al. Eur J Appl Physiol 104:297–302, 2008), the effects of anthropometric variability on predicted physiological responses to heat stress in U.S. Army male soldiers were evaluated. Five somatotypes were identified in U.S. Army male multivariate anthropometric distribution. The simulated heat responses, using a thermoregulatory model, were different between somatotypes. The present study further extends this line of research to female soldiers. Anthropometric somatotypes were identified using multivariate analysis [height, weight, percent body fat (%BF)] and the predicted physiological responses to simulated exercise and heat stress using a thermoregulatory model were evaluated. The simulated conditions included walking at ~3 mph (4.8 km/h) for 300 min and wearing battle dress uniform and body armor in a 30°C, 25% relative humidity (RH) environment without solar radiation. Five major somatotypes (tall-fat, tall-lean, average, short-lean, and short-fat), identified through multivariate analysis of anthropometric distributions, showed different tolerance levels to simulated heat stress: lean women were predicted to maintain their core temperatures (Tc) lower than short-fat or tall-fat women. The measured Tc of female subjects obtained from two heat studies (data1: 30°C, 32% RH, protective garments, ~225 w·m−2 walk for 90 min; data2: 32°C, 75% RH, hot weather battle dress uniform, ~378 ± 32 w·m−2 for 30 min walk/30 min rest cycles for 120 min) were utilized for validation. Validation results agreed with the findings in this study: fat subjects tended to have higher core temperatures than medium individuals (data2) and lean subjects maintained lower core temperatures than medium subjects (data1).

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References

  • Ashley CD, Luecke CL, Schwarts SS et al (2008) Heat strain at the critical WBGT and the effects of gender, clothing and metabolic rate. Int J Ind Ergon 38:640–644

    Article  Google Scholar 

  • Ǻstrand P, Rodahl K (1986) Textbook of work physiology: physiological bases of exercises. McGraw-Hill, New York

    Google Scholar 

  • Bathalon G, McGraw S, Friedl K et al (2004) Rationale and evidence supporting changes to the Army weight control program. U.S. Army Research Institute of Environmental Medicine Technical report. T04-08, Natick

  • Bilzon JL, Scarpello EG, Bilzon E et al (2001) Generic task-related occupational requirements for Royal Naval personnel. Occup Med 52:503–510

    Article  Google Scholar 

  • Department of Army (2004) Army demographics. Office of Army Demographics (OAD) Washington D.C., http://www.armyg1.army.mil/demogrphics

  • Department of Army (2008) The changing profile of the Army. Office of Army Demographics (OAD). Washington D.C. http://www.armyg1.army.mil/hr/docs/demographics/Changing%20Profile%20report%20December%202008.pdf

  • Fogleman M, Bhojani FA (2005) Refinery firefighters: assessing fitness for duty. Int J Occup Saf Ergon 11:161–170

    Google Scholar 

  • Friedl KE, DeLuca JP, Marchitelli LJ, Vogel JA (1992) Reliability of body-fat estimations from a four-compartment model by using density, body water and bone mineral measurements. Am J Clin Nutr 55:764–770

    CAS  Google Scholar 

  • Gardner JW, Kark JA, Karnei K et al (1996) Risk factors predicting exertional heat illness in male Marine Corps recruits. Med Sci Sports Exerc 28:939–944

    Article  CAS  Google Scholar 

  • Gunga H, Standsund M, Reinertsen R, Sattler F, Koch J (2008) A non-invasive device to continuously determine heat strain in humans. J Therm Biol 33:297–307

    Article  Google Scholar 

  • Hall C, Figueroa A, Fernhall B, Kanaley JA (2004) Energy expenditure of walking and running: comparison with prediction equations. Med Sci Sports Exerc 36:2128–2134

    Article  Google Scholar 

  • Halsam RA, Parsons KC (1988) An evaluation of computer-based models that predict human responses to the thermal environment. ASHRAE Trans 94:1342–1360

    Google Scholar 

  • Hodgdon J, Friedl K (1999) Development of the DoD body composition estimation equations. Technical Document No.99-2B. Naval Health Research Center, San Diego

    Google Scholar 

  • Kraning K, Gonzalez R (1997) A mechanistic computer simulation of human work in heat that accounts for physical and physiological effects of clothing, aerobic fitness, and progressive dehydration. J Therm Biol 22:331–342

    Article  Google Scholar 

  • Kroemer KHE, Kroemer HJ, Kroemer-Elbert KE (1997) The metabolic system. In: Anonymous (ed) Engineering physiology: bases of human factors/ergonomics. Van Nostrand Reinhold, New York, p 218

    Google Scholar 

  • Kuphal K, Evans B, Kuhlman J et al (1997) Validation of the Pandolf, Givoni and Goldman (1977) energy expenditure prediction equation using female subjects. Med Sci Sports Exerc 29:50

    Google Scholar 

  • Maeda T, Kaneko S, Ohta M et al (2006) Risk factors for heatstroke among Japanese forestry workers. J Occup Health 48:223–229

    Article  Google Scholar 

  • Montain S, Latzka W, Sawka M (1999) Fluid replacement recommendation for training in hot weather. Mil Med 164:502–508

    CAS  Google Scholar 

  • Pandolf K, Givoni B, Goldman R (1977) Predicting energy expenditure with loads while standing or walking very slowly. J Appl Physiol 43:577–581

    CAS  Google Scholar 

  • Santee W, Blanchard L, Speckman K et al (2003) Load carriage model development and testing with field data. USARIEM Technical note. TN-03-03, Natick

  • Santee W, Kraning K, Matthew W (1999) Modeling analysis of women litter bearers during heat stress. Aviat Space Environ Med 70:340–345

    CAS  Google Scholar 

  • Stephenson L, Kolka M (1999) Esophageal temperature threshold for sweating decreases before ovulation in premenopausal women. J Appl Physiol 86:22–28

    CAS  Google Scholar 

  • Tatsuoka M (1988) Multivariate analysis: techniques for educational and psychological research. Macmillan, New York

    Google Scholar 

  • Wallace R (2003) Risk factors and mortality in relation to heat illness severity. U.S. Army Research Institute of Environmental Medicine Technical report. T03-14, Natick

  • Yokota M, Bathalon G, Berglund L (2008) Assessment of male secular trends in anthropometrics and the effects on a thermal regulatory model. Eur J Appl Physiol 104:297–302

    Article  Google Scholar 

Download references

Acknowledgements

The authors would like to thank Drs. Lou Stephenson and Margaret Kolka for accessing their data and Dr. Reed Hoyt and Dr. Scott Montain, USARIEM for critical comments on this paper. The investigators have adhered to the policies for the protection of human subjects as prescribed in Army Regulation 70–25, and the research was conducted in adherence with the provision of 32 CFR Part 219. The opinion or assertions contained herein are the private views of the authors and do not reflect the views of the Army or the Department of Defense (USARIEM-E2-20).

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Correspondence to Miyo Yokota.

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Yokota, M., Berglund, L.G. & Bathalon, G.P. Female anthropometric variability and their effects on predicted thermoregulatory responses to work in the heat. Int J Biometeorol 56, 379–385 (2012). https://doi.org/10.1007/s00484-011-0441-6

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