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Comparison of anthropometric-based equations for estimation of body fat percentage in a normal-weight and overweight female cohort: validation via air-displacement plethysmography

  • Derry Temple (a1), Romain Denis (a2), Marianne C Walsh (a3), Patrick Dicker (a4) and Annette T Byrne (a5) (a6)...

Abstract

Objective

To evaluate the accuracy of the most commonly used anthropometric-based equations in the estimation of percentage body fat (%BF) in both normal-weight and overweight women using air-displacement plethysmography (ADP) as the criterion measure.

Design

A comparative study in which the equations of Durnin and Womersley (1974; DW) and Jackson, Pollock and Ward (1980) at three, four and seven sites (JPW3, JPW4 and JPW7) were validated against ADP in three groups. Group 1 included all participants, group 2 included participants with a BMI<25·0 kg/m2 and group 3 included participants with a BMI≥25·0 kg/m2.

Setting

Human Performance Laboratory, Institute for Sport and Health, University College Dublin, Republic of Ireland.

Subjects

Forty-three female participants aged between 18 and 55 years.

Results

In all three groups, the %BF values estimated from the DW equation were closer to the criterion measure (i.e. ADP) than those estimated from the other equations. Of the three JPW equations, JPW3 provided the most accurate estimation of %BF when compared with ADP in all three groups.

Conclusion

In comparison to ADP, these findings suggest that the DW equation is the most accurate anthropometric method for the estimation of %BF in both normal-weight and overweight females.

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Copyright

Corresponding author

*Corresponding author: Email annettebyrne@rcsi.ie

References

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1.Reilly, T (1996) Fitness assessment. In Science and Soccer, pp. 2549 [T Reilly, editor]. London: E & FN Spon.
2.National Heart, Lung, and Blood Institute in cooperation with The National Institute of Diabetes and Digestive and Kidney Diseases (1998) Clinical guidelines on the identification, evaluation, and treatment of overweight and obesity in adults – The Evidence Report. http://www.nhlbi.nih.gov/guidelines/obesity/ob_gdlns.pdf (accessed August 2012).
3.Kelly, T, Yang, W, Chen, CSet al. (2008) Global burden of obesity in 2005 and projections to 2030. Int J Obes (Lond) 32, 14311437.
4.Nevill, A, Metsios, G, Jackson, Aet al. (2008) Can we use the Jackson and Pollock equations to predict body density/fat of obese individuals in the 21st century? Int J Body Compost Res 6, 114121.
5.Fields, D, Goran, M & McCrory, M (2002) Body-composition assessment via air-displacement plethysmography in adults and children: a review. Am J Clin Nutr 75, 453467.
6.Dewit, O, Fuller, NJ, Fewtrell, MSet al. (2000) Whole body air displacement plethysmography compared with hydrodensitometry for body composition analysis. Arch Dis Child 82, 159164.
7.Noreen, E & Lemon, P (2006) Reliability of air displacement plethysmography in a large, heterogeneous sample. Med Sci Sports Exerc 38, 15051509.
8.Watts, K, Naylor, LH, Davis, EAet al. (2006) Do skinfolds accurately assess changes in body fat in obese children and adolescents? Med Sci Sports Exerc 38, 439444.
9.Ginde, S, Geliebter, A, Rubiano, Fet al. (2005) Air displacement plethysmography: validation in overweight and obese subjects. Obes Res 13, 12321237.
10.Heyward, V (2001) ASEP methods recommendation: body composition assessment. JEPonline 4, 112.
11.Heyward, V (1998) Practical body composition assessment for children, adults, and older adults. Int J Sport Nutr 8, 285307.
12.Jackson, AS, Ellis, KJ, McFarlin, BKet al. (2009) Cross-validation of generalised body composition equations with diverse young men and women: the Training Intervention and Genetics of Exercise Response (TIGER) Study. Br J Nutr 101, 871878.
13.Jackson, A, Pollock, M & Ward, A (1980) Generalized equations for predicting body density of women. Med Sci Sport Exerc 12, 175181.
14.Durnin, J & Womersley, J (1974) Body fat assessed from total body density and its estimation from skinfold thickness: measurements on 481 men and women aged from 16 to 72 years. Br J Nutr 32, 7797.
15.Teran, C, Sparks, K, Quinn, Let al. (1991) Percent body fat in obese white females predicted by anthropometric measurements. Am J Clin Nutr 53, 713.
16.Peterson, M, Czerwinski, S & Siervogel, R (2003) Development and validation of skinfold-thickness prediction equations with a 4-compartment model. Am J Clin Nutr 77, 11861191.
17.Michels, N, Huybrechts, I, Bammann, Ket al. (2013) Caucasian children’s fat mass: routine anthropometry v. air-displacement plethysmography. Br J Nutr 109, 15281537.
18.Edholm, O, Adam, J & Best, T (1974) Day-to-day weight changes in young men. Ann Hum Biol 1, 312.
19.Bunt, J, Lohman, T & Boileau, R (1989) Impact of total body water fluctuations on estimation of body fat from body density. Med Sci Sports Exerc 21, 96100.
20.Hawes, R & Martin, D (2001) Human body composition. In Kinanthropometry and Exercise Physiology Laboratory Manual: Tests, Procedures and Data, pp. 746 [R Eston and T Reilly, editors]. London: Routledge.
21.Ball, S, Altena, T & Swan, P (2004) Comparison of anthropometry to DXA: a new prediction equation for men. Eur J Clin Nutr 58, 15251531.
22.Dempster, P & Aitkens, S (1995) A new air displacement method for the determination of human body composition. Med Sci Sports Exerc 27, 16921697.
23.Siri, WE (1961) Body composition from fluid space and density. In Techniques for Measuring Body Composition, pp. 223244 [J Brozek and A Hanschel, editors]. Washington, DC: National Academy of Science.
24.Slaughter, MH, Lohman, TG, Boileau, RAet al. (1988) Skinfold equations for estimation of body fatness in children and youth. Hum Biol 60, 709723.
25.Vicente-Rodríguez, G, Rey-López, J, Mesana, Met al. (2012) Reliability and intermethod agreement for body fat assessment among two field and two laboratory methods in adolescents. Obesity (Silver Spring) 20, 221228.
26.Arroyo, M, Rocandio, A, Ansotegui, Let al. (2004) Comparison of predicted body fat percentage from anthropometric methods and from impedance in university students. Br J Nutr 92, 827832.
27.Sun, G, French, C, Martin, Get al. (2005) Comparison of multifrequency bioelectrical impedance analysis with dual-energy X-ray absorptiometry for assessment of percentage body fat in a large, healthy population. Am J Clin Nutr 81, 7478.
28.Flegal, K & Troiano, R (2000) Changes in the distribution of body mass index of adults and children in the US population. Int J Obes Relat Metab Disord 24, 807818.
29.Centers for Disease Control and Prevention (2012) About the National Health and Nutrition Examination Survey. http://www.cdc.gov/nchs/nhanes/about_nhanes.htm (accessed August 2012).
30.O’Connor, D, Bray, M, McFarlin, Bet al. (2010) Generalized equations for estimating DXA percent fat of diverse young women and men: the TIGER study. Med Sci Sports Exerc 42, 19591965.
31.Kohli, S, Gao, M & Lear, S (2009) Using simple anthropometric measures to predict body fat in South Asians. Appl Physiol Nutr Metab 34, 4048.
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Public Health Nutrition
  • ISSN: 1368-9800
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