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Prediction equations for the estimation of body composition in the elderly using anthropometric data

Published online by Cambridge University Press:  10 October 2007

Marjolein Visser ,
Ellen Van Den Heuvel  and
Paul Deurenberg
Marjolein Visser
Affiliation:
Department of Human Nutrition, Wageningen Agricultural University, POBox 8129, 6700 EV Wageningen, The Netherlands
Ellen Van Den Heuvel
Affiliation:
Department of Human Nutrition, Wageningen Agricultural University, POBox 8129, 6700 EV Wageningen, The Netherlands
Paul Deurenberg
Affiliation:
Department of Human Nutrition, Wageningen Agricultural University, POBox 8129, 6700 EV Wageningen, The Netherlands
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Abstract

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To study the relationship between health and nutritional status in elderly populations, information about body composition is essential. To collect this information in large epidemiological studies, practical methods based on anthropometric data must be available. In the present study the relationship between body composition, determined by densitometry, and anthropometric data in 204 elderly men and women, aged 60–87 years, was analysed. Existing prediction equations described in the literature, and mainly based on young and middle-aged subjects, generally underestimated percentage body fat in the elderly study population. Therefore, new prediction equations were developed, based on sex and the sum of two (biceps and triceps) or four (biceps, triceps, suprailiaca and subscapula) skinfolds or the body mass index (BMI). Addition of age or body circumferences to the models did not improve the prediction of body density. Internal cross validation and external validation revealed that the formulas are valid for the estimation of body density in elderly subjects. The standard errors of estimate of the three models, expressed as percentage body fat, were 5.6, 5.4 and 4.8% respectively.

Keywords

Body compositionAnthropometric measurementElderly
Type
Equations for the estimation of body composition
Information
British Journal of Nutrition , Volume 71 , Issue 6 , June 1994 , pp. 823 - 833
Copyright
Copyright © The Nutrition Society 1994

References

Baumgartner, R. N., Heymsfield, S. B., Lichtman, S., Wang, J. & Pierson, R. N. (1991). Body composition in elderly people: effect of criterion estimates on predictive equations. American Journal of Clinical Nutrition 53, 1345–1353.CrossRefGoogle ScholarPubMed
Blanchard, J., Conrad, K. A. & Harrison, G. G. (1990). Comparison of methods for estimating body composition in young and elderly women. Journal of Geronrology 45, B119–Bl24.CrossRefGoogle Scholar
Borkan, G. A. & Norris, A. H. (1977). Fat redistribution and the changing body dimensions of the adult male. Human Biology 49, 495–514.Google Scholar
Carmelli, D., McElroy, M. R. & Rosenman, R. H. (1991). Longitudinal changes in fat distribution in the Western Collaborative Group Study: a 23-year follow-up. International Journul of Obesity 15, 67–74.Google Scholar
Centraal Bureau voor de Statistiek (1992). Vadernecum ge;ondl7eid.sstatisriek Nederland 1992 (Vade-mecum health statistics, the Netherlands 1992). 's-Gravenhage: SDU/uitgeverij/CBS-publikaties.Google Scholar
Chumlea, W. C. & Baumgartner, R. N. (1989). Status of anthropometry and body composition data in elderly subjects. American Journal of Clinical Nutrition 5O, 1158–1166.Google Scholar
Chumlea, W. C., Baumgartner, R. N., Carry, P. J., Rhyne, R. L., Nicholson, C. & Wayne, S. (1992). Fat distribution and blood lipids in a sample of healthy elderly people. Internafional Jourrial of Obesity 16, 125–133.Google Scholar
Chumlea, W. C., Roche, A. F. & Webb, P. (1984). Body size, subcutaneous fatness and total body fat in older adults. International Journal of Obesity 8, 311–317.Google Scholar
De Groot, L. C. P. G. M., Sette, S., Zajkas, G., Carbajal, A. & Amorim Cruz, J. A. (1991). Nutritional status: anthropometry. Euronut SENECA investigators. European Journul of Clinical Nutrition 45, Suppl. 3, 31–42.Google ScholarPubMed
Deurenberg, P., Leenen, R., van der Kooy, K. & Hautvast, J. G. A. J. (1989 a). In obese subjects the body fat percentage calculated with Siri's formula is an overestimation. European Journal of Clinical Nutrition 43, 569–575.Google ScholarPubMed
Deurenberg, P., Weststrate, J. A. & Seidell, J. C. (1991). Body mass index as a measure of body fatness: age- and sex-specific prediction formulas. British Journat of Nutrition 65, 105–114.Google Scholar
Deurenberg, P., Weststrate, J. A. & van der Kooy, K. (1989 b). Is an adaptation of Siri's formula for the calculation of body fat percentage from body density in the elderly necessary? European Journal of Clinical Nutrition 43, 559–568.Google Scholar
Durnin, J. V. G. A. & 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. British Journal of Nutririon 32, 77–97.Google Scholar
Garrow, J. S. & Webster, J. (1985). Quetelet's index (W/H2) as a measure of fatness. International Journal of Obesity 9, 147–153.Google Scholar
Heitmann, B. L. (1990). Evaluation of body fat estimated from body mass index, skinfolds and impedance. A comparative study. European Journal of Clinical Nutrition 44, 831–837.Google Scholar
Johansson, A. G., Forslund, A., Sjödin, A., Mallmin, H., Hambraeus, L. & Ljunghall, S. (1993). Determination o body composition - a comparison of dual-energy x-ray absorptiometry and hydrodensitometry. American Journal of Clinical Nutrition 57, 323–326.CrossRefGoogle Scholar
Kaye, S. A., Folsom, A. R., Sprafka, J. M., Prineas, R. J. & Wallace, R. B. (1991). Increased incidence of diabetes mellitus in relation to abdominal adiposity in older women. Journal of Clinical Epidemiology 44, 329–334.Google Scholar
Kubena, K. S., McIntosh, W. A., Georghiades, M. B. & Landmann, W. A. (1991). Anthropometry and health in the elderly. Journal of the American Dietetic Association 91, 1402–1407.Google Scholar
Kuczmarski, R. J. (1989). Need for body composition information in elderly subjects. American Journalof Clinical Nutriiion 50, 1501–1157.Google ScholarPubMed
Lohman, T. G. (1981). Skinfolds and body density and their relation to body fatness: a review. Human Biology 53, 181–225.Google Scholar
Löwik, M. R. H., Hofman, Z., Kok, F. J., Wedel, M., Hulshof, K. F. A. M., Odink, J. & Schaafsma, G. (1991). Nutrition and blood pressure among elderly men and women (Dutch Nutrition Surveillance System). Journal of the American College of Nutrition 10, 149–155.CrossRefGoogle ScholarPubMed
Mattila, K., Haavisto, M. & Rajala, S. (1986). Body mass index and mortality in the elderly. British Medical Journal 292, 867–868.CrossRefGoogle ScholarPubMed
Minten, V. K. A. M., Löwik, M. R. H., Deurenberg, P. & Kok, F. J. (1991). Inconsistent associations among anthropometric measurements in elderly Dutch men and women. Journal qf the American Dietetic Association 91, 1408–1412.CrossRefGoogle ScholarPubMed
Noppa, H., Anderson, M., Bengtsson, C., Bruce, A. & Isaksson, B. (1979). Body composition in middle-aged women with special reference to the correlation between body fat mass and anthropometric data. American Journal of Clinical Nutrition 32, 1388–1395.Google Scholar
Norgan, N. G. & Ferro-Luzzi, A. (1982). Weight-height indices as estimators of fatness in men. Human Nutrition: Clinical Nutrition 36C. 363–372.Google Scholar
Schwartz, R. S., Shuman, W. P., Bradbury, V. L., Cain, K. C., Fellingham, G. W., Beard, J. C., Kahn, S. E., Stratton, J. R., Cerqueira, M. D. & Abrass, I. A. (1990). Body fat distribution in healthy young and older men. Journal of Gerontology 45, M181–M185.Google Scholar
Siri, W. E. (1956). The gross composition of the body. In Advances in Biological and Medical Physics, pp. 239–280. New York: Academic Press.Google Scholar
Siri, W. E. (1961). Body composition from fluid spaces and density: analysis of methods. In Techniques for Measuring Body Composition, pp. 223–244. Washington DC: National Academy of Sciences.Google Scholar
Svendsen, O. L., Haarbo, J., Heitman, B. L., Gotfredsen, A. & Christiansen, C. (1991). Measurement of body fat in elderly subjects by dual-energy X-ray absorptiometry, bioelectrical impedance, and anthropometry. American Journal of Clinical Nutrition 53, 1117–1123.CrossRefGoogle ScholarPubMed
Volkert, D., Kruse, W., Oster, P. & Schlierf, G. (1992). Malnutrition in geriatric patients: diagnostic and prognostic significance of nutritional parameters. Annals of Nutrition and Metabolism 36, 97–112.Google Scholar
Womersley, J. & Durnin, J. V. G. A. (1977). A comparison of the skinfold method with extent of “overweight” and various weight-height relationships in the assessment of obesity. British Journal of Nutrition 38, 271–284.Google Scholar
Young, C. M., Blondin, J., Tensuan, R. & Fryer, J. H. (1963). Body composition of “older” women. Journal qf the American Dietetic Association 43, 344–348.CrossRefGoogle ScholarPubMed