Improved Body Mass Index Classification for Football Code Masters Athletes, A Comparison to the Australian National Population

Thousands of masters athletes participate quadrennially in the World Masters Games (WMG), yet this cohort of athletes remains proportionately under-investigated. Due to a growing global obesity pandemic in context of benefits of physical activity across the lifespan, the prevalence of obesity in this unique population was of particular interest. Data gathered on a sub-sample of 535 football code athletes, aged 31-72 yrs ( =47.4, s =±7.1), competing at the Sydney World Masters Games (2009) demonstrated a significantly (p<0.001), reduced classification of obesity using Body Mass Index (BMI) when compared to data on the Australian national population. This evidence of improved classification in one index of health (BMI<30) implies there are either improved levels of this index of health due to adherence to sport or possibly the reduced BMI is advantageous and contributes to this cohort adhering (or being attracted) to masters sport. Given the worldwide focus on the obesity epidemic and the need for a multi-faceted solution to this problem, demonstration of these middle to older aged adults having improved BMI over the general population is of particular interest.

Authors:

• Joe Walsh
• Mike Climstein
• Ian Timothy Heazlewood
• Stephen Burke
• Jyrki Kettunen
• Kent Adams
• Mark DeBeliso

Keywords:

• BMI
• masters athlete
• rugby union
• soccer
• touch football

References:

[1] Sydney 2009 World Masters Games Committee. (2009). Sydney 2009
World Masters Games Final Report.
[2] Sawyer, K., & Sceppa, C. (2010). Cardiovascular disease - Review-
Impact of aerobic physical activity on cardiovascular and
noncardiovascular outcomes: is anyone too old to exercise? Aging
Health, 6(2), 251-260.
[3] Williamson, J., & Pahor, M. (2010). Evidence Regarding the Benefits of
Physical Exercise Archives of Internal Medicine, 170(2), 124-125.
[4] Ryan, A. (2010). Review exercise in aging: it-s important role in
mortality, obesity and insulin resistance. Aging Health, 6(5), 551-563.
[5] Kenyon, C. (2010). The genetics of aging. Nature 464, 504-512.
[6] King, A., & Guralnik, J. (2010). Maximizing the potential of an aging
population. The Journal of the American Medical Association, 304(17)
1954-1955.
[7] Doherty, T. (2003). Aging and sarcopenia. Journal of Applied
Physiology, 95(4) 1717-1727.
[8] Garabed, E. (2008). Adolphe Quetelet (1796-1874)ÔÇöthe average man
and indices of obesity. Nephrology Dialysis Transplantation, 23, 47-51
[9] World Health Organisation (2002). The world health report 2002 -
Reducing Risks, Promoting Healthy Life, 4, 60.
[10] World Health Organisation Media Centre (2011). Obesity and
overweight, 311
[11] Australian Institute of Health and Welfare 2008. Australia-s health 2008.
Cat. no. AUS 99. Canberra: Australian Institute of Health and Welfare
[12] Begg, S., Vos, T., Barker, B., Stevenson, C., Stanley, L., & Lopez, A.
(2007). The burden of disease and injury in Australia 2003. PHE 82.
Canberra: Australian Institute of Health and Welfare.
[13] Access Economics, (2006). The economic costs of obesity. Report for
Diabetes Australia.
[14] Ode, J., Pivarnik, J., Reeves, M., & Knous, J. (2007). Body mass index
as a predictor of percent fat in college athletes and nonathletes. Medicine
& Science in Sports & Exercise, 39(3) 403-409.
[15] Australian Bureau of Statistics (2010). National health survey: summary
of results, 2007-2008 (Reissue).
[16] Gorber, S., Tremblay, M., Moher, D., Gorber, B. (2007). A comparison
of direct vs. self-report measures for assessing height, weight and body
mass index: a systematic review. Obesity reviews, 8, 307-326.
[17] McCarthy, M. (2004). Curbing the obesity epidemic. The Lancet, 367,
1549
[18] Walsh, J. (2010). A Markov States model for touch football:
Proceedings of the tenth Australasian Conference on Mathematics and
Computers in Sport (pp259-267). Darwin, Australia.
[19] Okorodudu, D., Jumean, M., Montori, V., Romero-Corral, A., Somers,
V., Erwin, P., & Lopez-Jimenez, F. (2010). Diagnostic performance of
body mass index to indentify obesity as defined by body adiposity: a
systemic review and meta-analysis. International Journal of Obesity,
34,791-799.