Energy Expenditure Differs between Black and White Americans: Implications for Obesity Prevention Research


Objective: To assess differences in energy expenditure by race and ethnicity using nationally representative data. Results: We confirmed that Blacks exhibit lower resting energy expenditure than Whites—a difference of approximately 150 to 300 fewer kilocalories per day. This finding was significant in each permutation of our analysis—from the simple association of race and resting energy expenditure to our final regression model adjusted for common confounders (i.e. age, gender, income, and education), body fat content, diabetes, thyroid dysfunction, and weight loss in previous year. Further, we found that energy intake did not differ significantly between Blacks and Whites whereas Blacks were found to expend significantly more energy voluntarily than Whites. Blacks and Whites did not differ significantly in bodyweight, though Blacks were found to be leaner than Whites as evidenced by significantly lower body fat content in the former. Discussion: Our findings suggest that if rates of obesity are to be reduced in Black Americans, recommendations would need to encourage lower levels of average energy intake and higher levels of activity energy expenditure than extant in the general populace. In short, Blacks would need to adopt more austere lifestyle regimens relative to the general populace in order to reduce their rate of obesity below present levels.

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N. Amen-Ra, E. Velasco-Mondragon, M. Hossain and Y. Bronner, "Energy Expenditure Differs between Black and White Americans: Implications for Obesity Prevention Research," Food and Nutrition Sciences, Vol. 3 No. 7, 2012, pp. 914-924. doi: 10.4236/fns.2012.37121.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] T. A. Sharp, M. L. Bell, G. K. Grunwald, K. H. Schmitz, S. Sidney, C. E. Lewis, K. Tolan and J. O. Hill, “Differences in Resting Metabolic Rate Between White and African-American Young Adults,” Obesity Research, Vol. 10, No. 8, 2002, pp. 726-732.
[2] A. Luke, L. Dugas and H. Kramer, “Ethnicity, Energy Expenditure and Obesity: Are the Observed Black/White Differences Meaningful?” Current Opinions in Endocrinology, Diabetes, & Obesity, Vol. 14, No. 5, 2007, pp. 370-373.
[3] T. M. Manini, K. V. Patel, D. C. Bauer, E. Ziv, D. A. Schoeler, D. C. Mackey, R. Li, A. B. Newman, M. Nalls, J. M. Zmuda and T. B. Harris, “European Ancestry and Resting Metabolic Rate in Older African Americans,” European Journal of Clinical Nutrition, Vol. 65, No. 6, 2011, pp. 663-667.
[4] C. L. Ogden, M. D. Carroll, L. R. Curtin, M. A. McDowell, C. J. Tabak and K. M. Flegal, “Prevalence of Overweight and Obesity in the United States, 1999-2004,” Journal of the American Medical Association, Vol. 295, No. 13, 2006, pp. 1549-1555.
[5] Centers for Disease Control and Prevention (CDC), National Center for Health Statistics (NCHS), National Health and Nutrition Examination Survey Questionnaire, “Analytic and Reporting Guidelines,” US Department of Health and Human Services, Centers for Disease Control and Prevention, Hyattsville, 2008.
[6] “2003-2004 NHANES Response Rates,” 2011.
[7] A. Yngve, A. Nilsson, M. Sjostrom and U. Ekelund, “Effect of Monitor Placement and of Activity Setting on the MTI Accelerometer Output,” Medical Science, Sports & Exercise, Vol. 35, No. 2, 2003, pp. 320-326.
[8] C. Compher, R. Cato, J. Bader and B. Kinosian, “Harris-Benedict Equations Do Not Adequately Predict Energy Requirements in Elderly Hospitalized African Americans,” Journal of the National Medical Association, Vol. 96, No. 2, 2004, pp. 209-214.
[9] M. P. Rothney, E. V. Schaefer, M. M. Neumann, L. Choi and K. Y. Chen, “Validity of Physical Activity Intensity Predictions by Actigraph, Actical, and RT3 Accelerometers,” Obesity, Vol. 16, No. 8, 2008, pp. 1946-1952.
[10] A. C. Guyton and J. E. Hall, “Textbook of Medical Physiology,” 11th Edition, Elsevier Saunders, Philadelphia, 2006.
[11] A. J. Moshfegh, D. G. Rhodes, D. J. Baer, T. Murayi, J. C. Clemens, W. V. Rumpler, D. R. Paul, R. S. Sebastian, K. J. Kuczynski, L. A. Ingwersen, R. C. Staples and L. E. Clevland, “The US Department of Agriculture Automated Multiple-Pass Method Reduces Bias in the Collection of Energy Intakes,” American Journal of Clinical Nutrition, Vol. 88, No. 2, 2008, pp. 324-332.
[12] R. N. Bergman, D. Stefanovski, T. A. Buchanan, A. E. Sumner, J. C. Reynolds, N. G. Sebring, A. H. Xiang and R. M. Watanabe. “A Better Index of Body Adiposity,” Obesity (Silver Spring), Vol. 19, No. 5, 2011, pp. 1083-1089.
[13] N. M. Byrne, A. P. Hills, G. R. Hunter, R. L. Weinsier and Y. Schutz, “Metabolic Equivalent: One Size Does Not Fit All,” Journal of Applied Physiology, Vol. 99, No. 3, 2005, pp. 1112-1119.

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