2007, Piran, Slovenia
2007, Piran, Slovenia 2007, Piran, Slovenia
Environmental Ergonomics XII Igor B. Mekjavic, Stelios N. Kounalakis & Nigel A.S. Taylor (Eds.), © BIOMED, Ljubljana 2007 Figure 1. A two-dimensional plot for the 1988 and 2004 databases of female Soldiers with 90% ellipses. (Height: cm, Weight: kg, Body fat: %) values converted from principal component scores core temperature (ºC) 480 40.0 39.5 39.0 38.5 38.0 37.5 37.0 36.5 rest 35°C/50%RH BDU+body armor A04 B04 C04 D04 M04 walk 0 10 20 30 40 50 60 70 80 90 100 time (minutes) Figure 2. Anthropometric effects on core temperatures by female somatotypes. A 04 :”tall-fat”, B 04 : “tall-lean”, C0 4 : “short-lean”, D 04 : “short-fat”, M 04 : “average” somatotypes core temperature (ºC) -2 -1 0 1 2 Short-lean PC2 (33%) 40.0 39.5 39.0 38.5 38.0 37.5 37.0 36.5 A 88 (172,84,39) A 04 C (172,91,44) 88 C (154,41,16) 04 (155,41,17) M 88 (163,62,26) M 04 (163,62,28) D -4 -2 0 2 4 PC1 88 (150,62,36) D 04 (152,66,39) Short-fat MA88 (186cm, 106kg, 29%BF) FA88 (172cm, 84kg, 39%) MA04 (186cm, 112kg, 29%BF) FA04 (172cm, 91kg, 44%) 35ºC/50%rh BDU + body armor B 88 (176,63,21) B 04 Tall-lean (176,66,21) Average (65%) rest walk 0 10 20 30 40 50 60 70 80 90 100 time (minutes) Tall-fat Figure 3. Gender comparisons in core temperature between the 1988 and 2004 “tall-fat” somatotypes DISCUSSION While the major temporal increase was weight in males (7), weight and %BF were major increases in the U.S. Army female populations over the past 15 years. Five identified 67 min 67 min 72 min 91 min
Modelling somatotypes in multivariate anthropometric distributions showed different heat tolerance levels: lean people were able to lower their Tcr than fat people in the heat simulation conducted in this study. However, the differences in each somatotype between 1988 and 2004 had a minimal effect on simulated Tcr in a heat stress. Although the same somatotypes were identified in males and females, body measurements in the somatotypes differed by gender. The gender differences in heat strains were not prominent in all somatotypes in this study. However, the trend of the gender differences in the “tall-fat” somatotype were slightly greater in the 2004 than 1988 database, due to the increase in fatness among 2004 female populations. If the trend in fatness keeps increasing in females, “tall-fat” groups of the female population will be more likely to experience heat strains and thermal injuries, and less able to work as long as other somatotypes in the heat, unless proper acclimatization and training to thermal stresses are provided. REFERENCES 1. Bathalon G, McGraw S, Friedl K, et al (2004) Rationale and evidence supporting changes to the Army weight control program. USARIEM Technical report. T04-08, Natick. 2. Department of the Army (1987). The Army weight control program. AR 600-9. Washington, D.C. 3 Gordon C, Churchill T, Clauser C, et al. (1989). 1988 Anthropometric survey of US Army personnel: methods and summary statistics. TR89/044, US Army Natick Research, Development and Engineering Center, Natick 4. Gordon C, Bradtmiller B (1992). Interobserver error in a large scale anthropometric survey. Am J Hum Biol 4, 253-263. 5. 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. 6. Sawka M, Latzka W, Montain S et al. (2000). Physiologic tolerance to uncompensable heat: intermittent exercise, field vs laboratory. Med Sci Sports Exerc 33, 422-430. 7. Yokota M, Bathalon G, Berglund L (2007). Assessment of male anthropometric trends and the effects on thermal regulatory models. International Conference of Environmental Ergonomics XII, Portorož, Slovenia. DISCLAIMER The investigators have adhered to the policies for protection of human subjects as prescribed in Army Regulation 70-25, and the research was conducted in adherence with the provisions of 32 CFR Part 219. The opinions or assertions contained herein are the private views of the author(s) and are not to be construed as official or as reflecting the views of the Army or the Department of Defense. Citations of commercial organizations and trade names in this report do not constitute an official Department of the Army endorsement or approval of the products or services of these organizations. 481
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Modelling<br />
somatotypes in multivariate anthropometric distributions showed different heat tolerance<br />
levels: lean people were able to lower their Tcr than fat people in the heat simulation<br />
conducted in this study. However, the differences in each somatotype between 1988 and 2004<br />
had a minimal effect on simulated Tcr in a heat stress. Although the same somatotypes were<br />
identified in males and females, body measurements in the somatotypes differed by gender.<br />
The gender differences in heat strains were not prominent in all somatotypes in this study.<br />
However, the trend of the gender differences in the “tall-fat” somatotype were slightly greater<br />
in the 2004 than 1988 database, due to the increase in fatness among 2004 female<br />
populations. If the trend in fatness keeps increasing in females, “tall-fat” groups of the female<br />
population will be more likely to experience heat strains and thermal injuries, and less able to<br />
work as long as other somatotypes in the heat, unless proper acclimatization and training to<br />
thermal stresses are provided.<br />
REFERENCES<br />
1. Bathalon G, McGraw S, Friedl K, et al (2004) Rationale and evidence supporting changes<br />
to the Army weight control program. USARIEM Technical report. T04-08, Natick.<br />
2. Department of the Army (1987). The Army weight control program. AR 600-9.<br />
Washington, D.C.<br />
3 Gordon C, Churchill T, Clauser C, et al. (1989). 1988 Anthropometric survey of US Army<br />
personnel: methods and summary statistics. TR89/044, US Army Natick Research,<br />
Development and Engineering Center, Natick<br />
4. Gordon C, Bradtmiller B (1992). Interobserver error in a large scale anthropometric<br />
survey. Am J Hum Biol 4, 253-263.<br />
5. Kraning K, Gonzalez R (1997). A mechanistic computer simulation of human work in heat<br />
that accounts for physical and physiological effects of clothing, aerobic fitness, and<br />
progressive dehydration. J Therm Biol 22,331-342.<br />
6. Sawka M, Latzka W, Montain S et al. (2000). Physiologic tolerance to uncompensable<br />
heat: intermittent exercise, field vs laboratory. Med Sci Sports Exerc 33, 422-430.<br />
7. Yokota M, Bathalon G, Berglund L (<strong>2007</strong>). Assessment of male anthropometric trends and<br />
the effects on thermal regulatory models. International Conference of Environmental<br />
Ergonomics XII, Portorož, <strong>Slovenia</strong>.<br />
DISCLAIMER<br />
The investigators have adhered to the policies for protection of human subjects as prescribed<br />
in Army Regulation 70-25, and the research was conducted in adherence with the provisions<br />
of 32 CFR Part 219. The opinions or assertions contained herein are the private views of the<br />
author(s) and are not to be construed as official or as reflecting the views of the Army or the<br />
Department of Defense. Citations of commercial organizations and trade names in this report<br />
do not constitute an official Department of the Army endorsement or approval of the products<br />
or services of these organizations.<br />
481