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Assessment of male anthropometric trends and the effects on simulated heat stress responses

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Abstract

Assessing temporal changes in anthropometrics and body composition of US Army soldiers is important because these changes may affect fitness, performance, and safety. This study investigated differences in body dimensions (height, weight, percent body fat (%BF)) of US Army male soldiers by comparing 2004 and 1988 databases. Anthropometric somatotypes were identified and physiological responses of the different somatotypes to simulated heat stress (35°C/50%rh, ∼550 W work rate, carrying 12 kg load including battle dress uniform and body armor, rest for 30 min and walk for 70 min) using a thermal regulatory model were evaluated. A significant increase in body weight (2.4 kg) was observed between the 2004 and 1988 data (P < 0.05, after Bonferroni correction). However, changes in height and circumference measurements for %BF were insignificant, with the magnitude of the changes not exceeding inter-observer errors. Multivariate analyses demonstrated that anthropometric distributions did not differ between the two databases and identified five primary somatotypes: “tall-fat”, “tall-lean”, “average”, “short-lean”, and “short-fat.” Within each database, anthropometric values differed among the somatotypes. However, simulated physiological responses to heat stress in each somatotype were similar in the 2004 and 1988 populations. In conclusion, an increase in body weight was the primary change observed in this sample of US Army male soldiers. Temporal changes in somatotypes of soldiers over a 16-year period had minimal impact on simulated physiological response to heat stress using a thermal regulatory model.

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References

  • 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

  • Bray R, Hourani L, Omsted K et al. (2006) 2005 Department of Defense Survey of Health-Related Behaviors Among Active Duty Military Personnel. Research Triangle Institute (RTI) Report No. RTI 7841/106FR, Research Triangle Park

  • 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

    Google Scholar 

  • Centers for Disease Control and Prevention (2002) NIOSH health hazard evaluation report. HETA #2001–0248-2874, Circleville

  • Department of the Army (1987) The Army weight control program. AR 600-9. Washington, DC

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

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

    PubMed  Google Scholar 

  • 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

    Article  PubMed  Google Scholar 

  • Friedl K, DeLuca J, Marchitelli LJ et al (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

    PubMed  CAS  Google Scholar 

  • Frisancho A (1993) Human adaptation and accommodation. The University of Michigan, Ann Arbor

    Google Scholar 

  • 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

    Google Scholar 

  • Gordon C, Bradtmiller B (1992) Interobserver error in a large scale anthropometric survey. Am J Hum Biol 4:253–263

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • Havenith G, Coenen J, Kistemaker L et al (1998) Relevance of individual characteristics for human heat stress response is dependent on exercise intensity and climate type. Eur J Appl Physiol 77:231–241

    Article  CAS  Google Scholar 

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

  • ISO, International standard (2004) Ergonomics—evaluation of thermal strain by physiological measurements, ISO9886 ISO, Switzerland

  • 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

    Article  PubMed  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 

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

    PubMed  CAS  Google Scholar 

  • Ruff C (2000) Body size, body shape, and long bone strength in modern humans. J Hum Evol 38:269–290

    Article  PubMed  CAS  Google Scholar 

  • Shapiro Y, Pandolf K, Avellini B et al. (1980) Physiological responses of men and women to humid and dry heat. J Appl Physiol 49:1–8

    PubMed  CAS  Google Scholar 

  • Sharp M, Patton J, Knapik J et al. (2002) Comparison of the physical fitness of men and women entering the U.S. Army: 1978–1998. Med Sci Sports Exerc 34:356–363

    Article  PubMed  Google Scholar 

  • 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

    Google Scholar 

  • STATA (2003) STATA Release 8.0. College Station, Stata Cooperation

  • Tatsuoka M (1988) Multivariate analysis: techniques for educational and psychological research. Macmillan publishing company, NY

    Google Scholar 

  • Westerstahl M, Barnekow-Bergkvist M, Hedberg G, Jansson E (2003) Secular trends in body dimensions and physical fitness among adolescents in Sweden from 1974 to 1995. Scand J Med Sci Sports 13:128–137

    Article  PubMed  CAS  Google Scholar 

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Acknowledgments

The authors would like to thank Dr. C. Gordon, Natick Soldier Research Development and Engineering (NSRDE) and COL K. Friedl, Telemedicine and Advanced Technology Research Center (TATRC) for the datasets. The authors also thank Dr. W. Santee and Dr. R. Hoyt, USARIEM, for critical comments on this paper, and Mr. Julio Gonzalez (USARIEM) for generating computer graphics.

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Correspondence to Miyo Yokota.

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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 reflecting the views of the Army or the Department of Defense.

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Yokota, M., Bathalon, G.P. & Berglund, L.G. Assessment of male anthropometric trends and the effects on simulated heat stress responses. Eur J Appl Physiol 104, 297–302 (2008). https://doi.org/10.1007/s00421-007-0656-8

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