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The prediction of body composition in Chinese Australian females

Abstract

OBJECTIVE: To determine the efficacy of applying specific body composition techniques to, and assess the relationship between body mass index (BMI) and body fat levels for Chinese Australian females.

DESIGN: Statistical comparative analysis of body composition techniques.

SUBJECTS: Australian resident females of Chinese extraction (n=40) (aged 18–45 y, mean 32.5±8.0; BMI range 15.7–30.9 kg/m2, mean 21.7±3.1 kg/m2, median 20.8 kg/m2).

MEASUREMENTS: Body composition determined using bio-electrical impedance analysis (BIA), the skin-fold equations of Durnin and Womersley (D&W) and a deuterium dilution technique. Body size was calculated as the body mass index (BMI) weight/height2 (kg/m2).

RESULTS: With a median BMI of 20.8, range 15.7–30.9, an acceptable BMI existed for 87.5% of the subjects (mean (s.d.) 21.7±3.1 kg/m2). Percentage fat mass (%FM) from the deuterium dilution technique (mean (s.d.) 35.6±6.4) suggested 75% were overweight or obese. %FM from the D&W equation (mean (s.d.) 28.0±3.9) and BIA (mean (s.d.) 29.4±5.1) also indicated a tendency towards overweight or obese. The deuterium technique was significantly correlated and significantly different to the D&W eqn, r=0.71 P=0.001; and BIA, r=0.77, P=0.001. Bland and Altman analysis indicated that bias existed between the techniques (BIA mean (s.d.)−6.7±4.1) and D&W equation mean (s.d.)−6±4.5) when compared to the deuterium method.

CONCLUSIONS: Despite a low mean BMI, body fat levels determined by the three methods suggested that, overall, an unsatisfactory body composition existed. The levels of overweight and obesity (%FM>30) were higher than reported in previous research despite a mean BMI lower than the Australian national average. Comparative analysis suggested that the body fat prediction techniques used may be precise but not accurate. Comparative results obtained for the BIA and D&W equation techniques suggest an overestimation of body fat levels for leaner individuals and under estimation for overfat individuals. The results support the notion that accurate determination of body composition and the determination of appropriate body size may require equations developed for specific ethnic populations.

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References

  1. Elrick H . Exercise is medicine Physician Sports Med 1996 24: 72–78.

    Article  CAS  Google Scholar 

  2. Ackland TR . Techniques in the measurement and assessment of body composition. In: Hills AP, Wahlquist ML, (eds) Exercise and Obesity Smith-Gordon: London 1994 151–168.

    Google Scholar 

  3. Stolarczyk LM, Heyward VH, Hicks VL, Baumgarter RN . Predictive accuracy of bioelectrical impedance in estimating body composition of Native American women Am J Nutr 1994 59: 964–970.

    Article  CAS  Google Scholar 

  4. Dart AM, Qi XL . Determinants of arterial sgifness in Chinese migrants to Australia Atherosclerosis 1995 117: 263–272.

    Article  CAS  Google Scholar 

  5. Ge K, Weisell R, Guo X, Cheng L, Ma H, Zhai F, Popkin BM . The body mass index of Chinese adults in the late 1980s Eur J Clin Nutr 1994 48 (Suppl): S148–154.

    Google Scholar 

  6. Wang J, Thornton JC, Russell M, Burastero S, Heymsfield S, Pierson RN . Asians have lower body mass index (BMI) but higher percent body fat than do whites: comparisons of anthropometric measurements Am J Clin Nutr 1994 60: 23–28.

    Article  CAS  Google Scholar 

  7. Hsu-Hage BH, Wahlqvist ML . Cardiovascular risk in adult Melbourne Chinese Aust J Public Health 1993 17: 306–313.

    Article  CAS  Google Scholar 

  8. Heyward VH . Evaluation of body composition: current issues Sports Med 1996 22: 146–156.

    Article  CAS  Google Scholar 

  9. Jackson AS, Pollock ML, Ward A . Generalised equations for predicting body density of women Med Sci Sports Exercise 1980 12: 175–182.

    CAS  Google Scholar 

  10. Durnin JVGA, Womersley J . Body fat assessment from total body density and its estimation from skinfold thickness: measurements on 481 men and women aged from 16 to 72 y Br J Nutr 1974 32: 77–97.

    Article  CAS  Google Scholar 

  11. Eston R, Evans R, Fu F . Estimation of body composition in Chinese and British men by ultrasonographic assessment of segmental adipose tissue volume Br J Sports Med 1994 28: 9–13.

    Article  CAS  Google Scholar 

  12. Eston R, Fu F, Fung L . Validity of conventional anthropometric techniques for predicting body composition in healthy Chinese adults Br J Sports Med 1995 29: 52–56.

    Article  CAS  Google Scholar 

  13. de-Wart FG, Li R, Deurenberg P . Comparison of body composition assessments by bioelectrical impedance and by anthropometry in pre-menopausal Chinese women Br J Nutr 1993 69: 657–664.

    Article  Google Scholar 

  14. Liu HY, Lu YF, Chen W J . Predictive equations for basal metabolic rate in Chinese adults: a cross validation study J Am Diet Assoc 1995 95: 1403–1408.

    Article  CAS  Google Scholar 

  15. Deurenberg P, Van der Kooy K, Leenen R, Westrate JA, Seidell JC . Sex and age specific prediction formulas for estimating body composition from bioelectrical impedance: a cross validation study Int J Obes 1991 15: 17–25.

    CAS  PubMed  Google Scholar 

  16. Borowitz D, Conboy K . Are bioelectrical impedance measurements valid in patients with cystic fibrosis? J Paediat Gastroenterol Nutr 1994 18: 453–456.

    Article  CAS  Google Scholar 

  17. Jiang ZM, Yang NF, Chou C, Liu ZH, Sun TL, Chen YH, Xue BZ, Fei LM, Tseng HC, Brown E, Scheltinga M, Wilmore DW . Body composition in Chinese subjects: Comparisons with data from North America World J Surg 1991 15: 95–101.

    Article  CAS  Google Scholar 

  18. Kushner RF, Schoeller DA . Estimation of total body water by bioelectrical impedance analysis Am J Clin Nutr 1986 44: 417–424.

    Article  CAS  Google Scholar 

  19. Gray DS, Bauer M . The relationship between body fat mass and fat free mass J Am College Nutr 1991 10: 63–68.

    Article  Google Scholar 

  20. Haines CJ, Chung TK, Masarei JR, Tomlinson B, Lau JT . An examination of the effect of combined cyclical hormone replacement therapy on lipoprotein(a) and other lipoproteins Atherosclerosis 1996 119: 215–222.

    Article  CAS  Google Scholar 

  21. Fukagawa NK, Bandini LG, Dietz WH, Young JB . Effect of age on body weight and resting metabolic rate J Gerontol Biol Sci Med Sci 1996 51: 71–73.

    Article  Google Scholar 

  22. Virmani R, Avolio AP, Mergner WJ, Robinowitz M, Herderick EE, Cornhill JF, Guo SY, Liu TH, Ou DY, O'Rourke M . Effect of aging on aortic morphology in populations with high and low prevalence of hypertension and atherosclerosis. Comparison between occidental and Chinese communities Am J Pathol 1991 139: 1119–1129.

    CAS  PubMed  PubMed Central  Google Scholar 

  23. Behnke AR, Wilmoe JH . Evaluation and Regulation of Body Build and Composition Prentice Hall: New Jersey 1974.

    Google Scholar 

  24. Wang J, Deurenberg P . The validity of predicted body composition in Chinese adults from anthropometry and bioelectrical impedance in comparison with densitometry Br J Nutr 1996 76: 175–182.

    Article  CAS  Google Scholar 

  25. Bell NA, McClure PD, Hill RJ, Davies PSW . Assessment of foot-to-foot bioelectrical impedance analysis for the prediction of total body water Eur J Clin Nutr 1998 52: 856–859.

    Article  CAS  Google Scholar 

  26. Forbes GB . Methods for determining composition of the human body Pediatrics 1962 29: 477–494.

    CAS  PubMed  Google Scholar 

  27. Davies PSW, Hicks CJ, Halliday D, Preece MA . The prediction of total body water using bioelectrical impedance in children and adolescents Ann Hum Biol 1988 15: 237–240.

    Article  CAS  Google Scholar 

  28. Bland JM, Altman DG . Statistical methods for assessing agreements between methods of clinical measurement Lancet 1986 1: 307–310.

    Article  CAS  Google Scholar 

  29. Segal KR, Gutin B, Presta E, Wang J, Van Itallie TB . Estimation of human body composition by electrical impedance methods: a comparative study J Appl Physiol 1985 58: 1565–1571.

    Article  CAS  Google Scholar 

  30. Kemper HCG, Post GB, Twisk JWR, van Mechelen W . Lifestyle and obesity in adolescence and young adulthood: results from the Amsterdam Growth and Health Longitudinal Study (AGAHLS) Int J Obes Relat Metab Disord 1999 23 (Suppl): S34–S40.

    Article  Google Scholar 

  31. Ezell DM, Geiselman PJ, Anderson AM, Dowdy ML, Womble LG, Greenway FL, Zachweija JJ . Substrate oxidation and availability during exercise in non-obese, obese, and post-obese sedentary females Int J Obes Relat Metab Disord 1999 23: 1047–1056.

    Article  CAS  Google Scholar 

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Lanham, D., Stead, M., Tsang, K. et al. The prediction of body composition in Chinese Australian females. Int J Obes 25, 286–291 (2001). https://doi.org/10.1038/sj.ijo.0801473

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