2007, Piran, Slovenia

2007, Piran, Slovenia 2007, Piran, Slovenia

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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 anthropometric males with 90% ellipses M 04 :(Height: 177cm, Weight: 82kg , Body fat 18%); M 88 :(176, 79, 19) Figure 2. Anthropometric effects on core temperatures by somatotypes (2004 database). A 04 : “tall-fat”, B 04 : “tall-lean”, C 04 : “short-lean”, D 04 : “short-fat”, M 04 : “average” somatotypes DISCUSSION This study showed secular trends in body measurements and composition among male U.S. Army Soldiers from 1988 to 2004, and evaluated the effects of these changes on simulated Tcr responses to heat stress. We found a significant increase in body weight in these two groups of U.S. Army males, even though most of them complied with weight control standards (1). However, the temporal changes in height, %BF and body circumferences were insignificant, with the magnitude of the changes not exceeding inter-observer errors. These results suggest that the relationship between BMI and body composition differ between military and nonmilitary populations. That is, in non-military populations, an increase in BMI associated with increased body weight is generally thought to reflect an increased level of body fatness. However, a weight increase in the Army populations does not necessarily indicate a 474 PC2 -2 -1 0 1 2 (34%) core temperature (ºC) Short-lean 40 39.5 39 38.5 38 37.5 37 36.5 36 C 04 (168,55,7) C 88 (166,52,8) Tall-lean B 04 (191, 83, 9) B 88 (188, 79, 10) M 88 M 04 Average D 88 (163, 80, 27) D 04 (161, 82, 26) A 88 (186,106,29) -4 -2 0 2 4 PC1 (61%) Short-fat Tall-fat A 04 (186,112,29) A04 B04 C04 D04 M04 rest walk 35ºC/50%rh BDU+body armor 0 10 20 30 40 50 60 70 80 90 100 time (minutes) 71min 89min

Modelling concomitant increase in body fat since previous studies have suggested that increases in body weight can be primarily associated with increases in fat-free mass, rather than fat mass (4,8). Five identified somatotypes in multivariate anthropometric distributions showed different predicted heat tolerance levels. Yet, the change in each somatotype between 1988 and 2004 had a minimal affect on simulated Tcr response to heat stress. In this study, “small/lean” individuals, having low %BF and a higher body surface area per mass for dissipating heat, were predicted to maintain a lower Tcr for given exercise and environmental conditions. However, operational factors (e.g., environmental conditions, clothing, physical activity, load carriage) may impact the thermal strain experienced by individuals with different somatotypes in different ways. 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. Centers for Disease Control and Prevention (2006). State-specific prevalence of obesity among adults: United State, 2005. Morbidity and Mortality Weekly Report, Atlanta, 55: 985-988. 3. Department of the Army (1987). The Army weight control program. AR 600-9. Washington, D.C. 4.Friedl K (2004). Can you be large and not obese? The distinction between body weight, body fat, and abdominal fat in occupational standards. Diabetes Technol Ther 6,732-749. 5.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 6. Gordon C, Bradtmiller B (1992). Interobserver error in a large scale anthropometric survey. Am J Hum Biol 4,253-263. 7. Greiner T, Gordon C (1992). Secular trends of 22 body dimensions in four racial/cultural groups of American males. Am J Hum Biol 4,235-246. 8. Knapik J, Sharp M, Darakjy S et al. (2006). Temporal changes in the physical fitness of U.S. Army recruits. Sports Med 36,613-634. 9. 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 10. 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 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. 475

Environmental Ergonomics XII<br />

Igor B. Mekjavic, Stelios N. Kounalakis & Nigel A.S. Taylor (Eds.), © BIOMED, Ljubljana <strong>2007</strong><br />

Figure 1. A two-dimensional plot for the 1988 and 2004 anthropometric males with 90%<br />

ellipses M 04 :(Height: 177cm, Weight: 82kg , Body fat 18%); M 88 :(176, 79, 19)<br />

Figure 2. Anthropometric effects on core temperatures by somatotypes (2004 database). A 04 :<br />

“tall-fat”, B 04 : “tall-lean”, C 04 : “short-lean”, D 04 : “short-fat”, M 04 : “average” somatotypes<br />

DISCUSSION<br />

This study showed secular trends in body measurements and composition among male U.S.<br />

Army Soldiers from 1988 to 2004, and evaluated the effects of these changes on simulated Tcr<br />

responses to heat stress. We found a significant increase in body weight in these two groups<br />

of U.S. Army males, even though most of them complied with weight control standards (1).<br />

However, the temporal changes in height, %BF and body circumferences were insignificant,<br />

with the magnitude of the changes not exceeding inter-observer errors. These results suggest<br />

that the relationship between BMI and body composition differ between military and nonmilitary<br />

populations. That is, in non-military populations, an increase in BMI associated with<br />

increased body weight is generally thought to reflect an increased level of body fatness.<br />

However, a weight increase in the Army populations does not necessarily indicate a<br />

474<br />

PC2<br />

-2 -1 0 1 2<br />

(34%)<br />

core temperature (ºC)<br />

Short-lean<br />

40<br />

39.5<br />

39<br />

38.5<br />

38<br />

37.5<br />

37<br />

36.5<br />

36<br />

C 04 (168,55,7)<br />

C 88 (166,52,8)<br />

Tall-lean<br />

B 04 (191, 83, 9)<br />

B 88 (188, 79, 10)<br />

M 88<br />

M 04<br />

Average<br />

D 88 (163, 80, 27)<br />

D 04 (161, 82, 26)<br />

A 88 (186,106,29)<br />

-4 -2 0 2 4<br />

PC1 (61%)<br />

Short-fat<br />

Tall-fat<br />

A 04 (186,112,29)<br />

A04 B04 C04 D04 M04<br />

rest walk<br />

35ºC/50%rh<br />

BDU+body armor<br />

0 10 20 30 40 50 60 70 80 90 100<br />

time (minutes)<br />

71min<br />

89min

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