Abstract
Objective: To study the effects of sex, age and race on the relation between body mass index (BMI) and measured percent body fat (%fat).
Design: Cross-sectional validation study of sedentary individuals.
Subjects: The Heritage Family Study cohort of 665 black and white men and women who ranged in age from 17 to 65 y.
Measurements: Body density determined from hydrostatic weighing. Percentage body fat determined with gender and race-specific, two-compartment models. BMI determined from height and weight, and sex and race in dummy coded form.
Results: Polynomial regression showed that the relationship between %fat and BMI was quadratic for both men and women. A natural log transformation of BMI adjusted for the non-linearity. Test for homogeneity of log transformed BMI and gender showed that the male–female slopes were within random variance, but the intercepts differed. For the same BMI, the %fat of females was 10.4% higher than that of males. General linear models analysis of the women's data showed that age, race and race-by-BMI interaction were independently related to %fat. The same analysis applied to the men's data showed that %fat was not just a function of BMI, but also age and age-by-BMI interaction. Multiple regression analyses provided models that defined the bias.
Conclusions: These data and results published in the literature show that BMI and %fat relationship are not independent of age and gender. These data showed a race effect for women, but not men. The failure to adjust for these sources of bias resulted in substantial differences in the proportion of subjects defined as obese by measured %fat.
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References
Kuczmarski RJ, Flegal KM . Criteria for definition of overweight in transition: background and recommendations for the United States Am J Clin Nutr 2000 72: 1075–1081.
McDowell A, Engel A, Massey J, Maurer K . Plan and operation of the second National Health and Nutrition Examination Survey, 1976–80 Series 1, 15, DHHS publication (PHS) 81-1317 US Government Printing Office: Washington, DC 1981.
World Health Organization. Obesity: preventing and managing the global epidemic Report of a WHO consultation on obesity World Health Organization: Geneva 1998.
National Institutes of Health and National Heart Lung and Blood, Institute. Clinical guidelines on the identification, evaluation, and treatment of overweight and obesity in adults: the Evidence Report Obes Res 1998 6 (Suppl 2): 515–209.
Gallagher D, Visser M, Sepulveda D, Pierson RN, Harris T, Heymsfield SB . How useful is body mass index for comparison of body fatness across age, sex, and ethnic groups Am J Epidemiol 1996 143: 228–239.
Deurenberg-Yap M, Schmidt G, van Staveren WA, Deurenberg P . The paradox of low body mass index and high body fat percentage among Chinese, Malays and Indians in Singapore Int J Obes Relat Metab Disord 2000 24: 1011–1017.
Deurenberg P, Weststrate JA, Seidell JC . Body mass index as a measure of body fatness: age- and sex-specific prediction formulas Br J Nutr 1991 65: 105–114.
Deurenberg P, Yap M, van Staveren WA . Body mass index and percent body fat. A meta analysis among different ethnic groups Int J Obes Relat Metab Disord 1998 22: 1164–1171.
Womersley J, Durnin JVGA . A comparison of the skinfold method with extent of overweight and various weight-height relationships in the assessment of obesity Br J Nutr 1977 38: 271–284.
Deurenberg-Yap M, Schmidt G, van Staveren WA, Hautvast JG, Deurenberg P . Body fat measurement among Singaporean Chinese, Malays and Indians: a comparative study using a four-compartment model and different two-compartment models Br J Nutr 2001 85: 491–498.
Bouchard C, Leon AS, Rao DC, Skinner JS, Wilmore JH, Gagnon J . The Heritage Family Study: aims, design, and measurement protocol Med Sci Sports Exercise 1995 27: 721–729.
Behnke AR, Wilmore JH . Evaluation and regulation of body build and composition Prentice-Hall: Englewood Cliffs, NJ 1974.
Wilmore JH, Despres J, Stanforth PR, Mandel S, Rice T, Gagnon J, Leon AS, Rao DC, Skinner JS, Bouchard C . Alterations in body weight and composition consequent to 20 wk of endurance training: the Heritage Family Study Am J Clin Nutr 1999 70: 346–352.
Siri WE . Body composition from fluid space and density In: Brozek J and Hanschel A (eds) Techniques for measuring body composition National Academy of Science: Washington, DC 1961.
Lohman TG . Applicability of body composition techniques and constants for children and youths Exercise Sports Sci Rev 1986 14: 325–357.
Schutte JE, Townsend EJ, Hugg J, Shoup RF, Malina RM, Blomqvist CG . Density of lean body mass is greater in blacks than in whites J Appl Physiol 1984 56: 1647–1649.
Ortiz O, Russell M, Daley TL . Differences in skeletal muscle and bone mineral mass between black and white females and their relevance to estimates of body composition Am J Clin Nutr 1992 55: 8–13.
Gagnon J, Province MA, Bouchard C . The Heritage Family Study: quality assurance and quality control Ann Epidemiol 1996 6: 520–529.
Pedhauzur EJ . Multiple regression in behavioral research: explanation and prediction 3rd edn Harcourt Brace: New York 1997.
SAS. Statview 5.0 edn SAS Institute: Cary, NC 1998.
Jackson AS, Pollock ML . Generalized equations for predicting body density of men Br J Nutr 1978 40: 497–504.
Jackson AS, Pollock ML, Ward A . Generalized equations for predicting body density of women Med Sci Sports Exercise 1980 12: 175–182.
Jackson AS . Research design and analysis of data procedures for predicting body density Med Sci Sports Exercise 1984 16: 616–620.
Jackson AS, Beard EF, Wier LT, Ross RM, Stuteville JE, Blair SN . Changes in aerobic power of men ages 25–70 y Med Sci Sports Exercise 1995 27: 113–120.
Pollock ML, Foster C, Knapp D, Rod JL, Schmidt DH . Effect of age and training on aerobic capacity and body composition of master athletes J Appl Physiol 1987 62: 725–731.
Fleg JL, Lakatta EG . Role of muscle loss in the age-associated reduction in VO2max J Appl Physiol 1988 65: 1147–1151.
Wagner DR, Heyward VH . Measures of body composition in blacks and whites: a comparative review Am J Clin Nutr 2000 71: 1392–1402.
Visser M, Gallagher D, Deurenberg P, Wang J, Pierson RN, Heymsfield SR . Density of fat-free body mass: relationship with race, age, and level of body fatness Am J Physiol 1997 272 (Endocrinol Metab 35): E781–E787.
Hosmer DW, Lemeshow S . Applied logistic regression John Wiley: New York 1989.
Wellens RI, Roche AF, Khamis HJ, Jackson AS, Pollock ML, Siervogel RM . Relationships between body mass index and body composition Obes Res 1996 4: 35–44.
Acknowledgements
The Heritage Family Study is supported by the National Heart, Lung and Blood Institute through the following grants: HL45670 (C Bouchard, PI); HL47323 (AS Leon, PI); HL47317 (DC Rao, PI); HL47327 (JS Skinner, PI); and HL47321 (JH Wilmore, PI). Claude Bouchard is partially supported by the George A Bray Chair in Nutrition. Credit is also given to the University of Minnesota Clinical Research Center, NIH Grant MO1-RR000400. Further, Art Leon is partially supported by the Henry L Taylor Professorship in Exercise Science and Health Enhancement. Thanks are expressed to all of the co-principal investigators, investigators, co-investigators, local project coordinators, research assistants, laboratory technicians, and secretaries who have contributed to this study (see Bouchard et al10). Finally, the Heritage consortium is very thankful to those hard-working families whose participation has made these data possible.
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Jackson, A., Stanforth, P., Gagnon, J. et al. The effect of sex, age and race on estimating percentage body fat from body mass index: The Heritage Family Study. Int J Obes 26, 789–796 (2002). https://doi.org/10.1038/sj.ijo.0802006
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DOI: https://doi.org/10.1038/sj.ijo.0802006
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