Hostname: page-component-cd9895bd7-hc48f Total loading time: 0 Render date: 2024-12-25T02:04:45.740Z Has data issue: false hasContentIssue false
  • English
  • Français

Comparison of body composition assessments by bioelectrical impedance and by anthropometry in premenopausal Chinese women

Published online by Cambridge University Press:  09 March 2007

Frouwkje G. De Waart ,
Ruowei Li  and
Paul Deurenberg
Frouwkje G. De Waart
Affiliation:
Department of Human Nutrition, Wageningen Agricultural University, PO Box 8129, 6700 EV Wageningen, The Netherlands
Ruowei Li
Affiliation:
Institute of Nutrition and Food Hygiene, Chinese Academy of Preventive Medicine, Beijing, China
Paul Deurenberg
Affiliation:
Department of Human Nutrition, Wageningen Agricultural University, PO Box 8129, 6700 EV Wageningen, The Netherlands
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Fat-free mass (FFM) was estimated in forty-seven premenopausal Chinese women, aged 18–43 years, from anthropometric data (skinfolds, body mass index (weight/height2; BMI)) or bioelectrical impedance, using several prediction formulas for body composition from the literature, and values compared with the mean of these three individual methods used as a frame of reference. In thirty-six women these values could be compared with FFM calculated from total body water (TBW) determined by D2O dilution. The prediction formulas used were developed from studies on Caucasian adults and their validity will have to be shown in populations with different ethnic backgrounds. The mean difference between FFM predicted from BMI and the frame of reference was 0.1 kg (95 % confidence interval (CI) -0.1, 0.4), from bioelectrical impedance it was 0.5 kg (95% CI 0.3, 0.7), and from skinfolds it was -0.6 kg (95% CI -0.9, -0.4). The mean difference between FFM calculated from TBW and the frame of reference was higher (2.2 kg, 95 % CI 1.2,3.3). The results of the present study indicate that the three methods may be valid for predicting body composition in adult Chinese females, but further research is needed on development and cross-validation of prediction equations for body composition for Chinese.

Keywords

Body compositionAnthropometryBioelectrical impedance
Type
Estimation of Human Body Composition
Information
British Journal of Nutrition , Volume 69 , Issue 3 , May 1993 , pp. 657 - 664
Copyright
Copyright © The Nutrition Society 1993

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
Bland, J. M. & Altman, D. G. (1986). Statistical methods for assessing agreement between two methods of clinical measurement. Lancer i, 307–310.Google Scholar
Coward, W. A., Parkinson, S. A. & Murgatroyd, P. R. (1988). Body Composition measurements for nutrition research. Nutrition Research Reviews 1, 115–124.CrossRefGoogle ScholarPubMed
Davies, P. S. W., Preece, M. A., Hicks, C. J. & Halliday, D. (1988). The prediction of TBW using BI in children: and adolescents. Annals of Human Biology 40, 237–240.CrossRefGoogle Scholar
Deurenberg, P., Saris, W. H. M., Voorrips, L. E. & VanStaveren, W. A. (1993). The assessment of the body composition in the elderly. Age & Nutrition, (In the press).Google Scholar
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 Journal of Nutrition 65, 105–114.CrossRefGoogle ScholarPubMed
Deurenberg, P., Weststrate, J. A. & van der Kooy, K. (1989). Is an adaptation of Siri's fomula for the calculation of body fat percentage from body density in the elderly necessary? European Journal of Clinical Nutrition 43, 559–568.Google Scholar
Diaz, E. O., Villar, J., Immink, M. & Gonzales, T. (1989). Bioimpedance or anthropometry? European Journal of Clinical Nutrition 43, 129–137.Google ScholarPubMed
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 Nutrition 32, 77–97.CrossRefGoogle ScholarPubMed
Forbes, G. G. (1987). Human Body Composition, New York: Springer Verlag.CrossRefGoogle Scholar
Harsha, D. W., Frerichs, R. R. & Berenson, G. S. (1978). Densitometry and anthropometry of black and white children. Human Biology 50, 261–280.Google ScholarPubMed
Jackson, A. S. & Pollock, M. L. (1978). Generalized equations for predicting body density of men. British Journal of Nutrition 40, 497–504.Google Scholar
Jackson, A. S., Pollock, M. L. & Ward, A. (1980). Generalized equations for predicting body density of women. Medicine and Science in Sports and Exercise 12, 175–182.Google Scholar
Jiang, Z. M., Yang, N. F., Chou, C., Liu, Z., Sun, T., Chen, Y., Xue, B., Fei, L., Tseng, H., Browns, E., Scheltinga, M. & Wilmore, D. W. (1991). Body composition in Chinese subjects: comparison with data from North America. World Journal of Surgery 15, 95–102.Google Scholar
Lukaski, H. C. (1987). Methods for the assessment of human body composition: traditional and new. American Journal of Clinical Nutrition 46, 537–556.Google Scholar
Lukaski, H. C. & Johnson, P. E. (1985) A simple, inexpensive method of determining total body water using a tracer dose of D2O and infrared absorption of biological fluids. American Journal of Clinical Nutrition 41, 363–370.Google Scholar
Lukaski, H. C., Johnson, P. E., Bolonchuck, W. W. & Lykken, G. I. (1985). Assessment of fat-free mass using BIM of the human body. American Journal of Clinica1 Nutrition 41, 810–817.CrossRefGoogle Scholar
Pace, N. & Rathbun, E. N. (1945). Studies on body composition. III. The body water and chemically combined nitrogen content in relation to fat content. Journal of Biological Chemistry 158, 685–691.Google Scholar
Pasco, J. A. & Rutishauer, I. H. E. (1985). Body fat estimated from anthropometric and electrical impedance measurements. Human Nutrition: Clinical Nutrition 39, 365–369.Google Scholar
Shutte, J. E. (1980). Prediction of total body water in adolescent males. Human Bidogy 52, 381–391.Google Scholar
Segal, K. R., VanLoan, M., Fitzgerald, P. I., Hodgson, J. A. & Van Itallie, T. B. (1988). Lean body mass estimation by bio-electrical impedance analysis: a four-site cross-validation study. American Journal of Clinical Nutrition 47, 7–14.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 [Brozek, J. and Henschel, A., editors]. Washington, DC: National Academy of Sciences.Google Scholar
Statistical Package for Social Sciences/PC. (1988). Base Manual + V2.0. Chicago, Ill: SPSS Inc.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
Zillikens, M. C. & Conway, J. M. (1990). Anthropometry in blacks: applicability of generalized skinfold equations and differences in fat patterning between blacks and whites. American Journal of Clinical Nutrition 52, 45–51.Google Scholar
Zillikens, M. C. & Conway, J. M. (1991). The estimation of total body water by bioelectrical impedance analysis in blacks. American Journal of Human Biology 3, 25–32.Google Scholar