The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
A Better Index of Body Adiposity
Open accessAbstract
Obesity is a growing problem in the United States and throughout the world. It is a risk factor for many chronic diseases. The BMI has been used to assess body fat for almost 200 years. BMI is known to be of limited accuracy, and is different for males and females with similar %body adiposity. Here, we define an alternative parameter, the body adiposity index (BAI = ((hip circumference)/((height)1.5)–18)). The BAI can be used to reflect %body fat for adult men and women of differing ethnicities without numerical correction. We used a population study, the “BetaGene” study, to develop the new index of body adiposity. %Body fat, as measured by the dual‐energy X‐ray absorptiometry (DXA), was used as a “gold standard” for validation. Hip circumference (R = 0.602) and height (R = −0.524) are strongly correlated with %body fat and therefore chosen as principal anthropometric measures on which we base BAI. The BAI measure was validated in the “Triglyceride and Cardiovascular Risk in African‐Americans (TARA)” study of African Americans. Correlation between DXA‐derived %adiposity and the BAI was R = 0.85 for TARA with a concordance of C_b = 0.95. BAI can be measured without weighing, which may render it useful in settings where measuring accurate body weight is problematic. In summary, we have defined a new parameter, the BAI, which can be calculated from hip circumference and height only. It can be used in the clinical setting even in remote locations with very limited access to reliable scales. The BAI estimates %adiposity directly.
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Cites
STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT
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Self-citationAdolphe Quetelet (1796 1874) the average man and indices of obesity
Eknoyan, G. (2007) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gfm517 · Cited by 746
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Cited by
Thomas, D. M., Bredlau, C., Bosy-Westphal, A., Mueller, M., Shen, W., Gallagher, D., Maeda, Y., McDougall, A., Peterson, C. M., Ravussin, E., et al. (2013) · Obesity · doi:10.1002/oby.20408 · Cited by 1,074
Gadde (2018) · doi:10.1016/j.jacc.2017.11.011 · Cited by 626
Rico‐Martín, S., Calderón‐García, J. F., Sánchez‐Rey, P., Franco‐Antonio, C., Martínez Alvarez, M., & Sánchez Muñoz‐Torrero, J. F. (2020) · Obesity Reviews · doi:10.1111/obr.13023 · Cited by 355
Lam, B. C. C., Koh, G. C. H., Chen, C., Wong, M. T. K., & Fallows, S. J. (2015) · PLOS ONE · doi:10.1371/journal.pone.0122985 · Cited by 338
Grandner, M. A., Chakravorty, S., Perlis, M. L., Oliver, L., & Gurubhagavatula, I. (2014) · Sleep Medicine · doi:10.1016/j.sleep.2013.09.012 · Cited by 300
Metadata
- Authors
- Bergman, R. N., Stefanovski, D., Buchanan, T. A., Sumner, A. E., Reynolds, J. C., Sebring, N. G., Xiang, A. H., & Watanabe, R. M.
- Venue
- Obesity
- Publisher
- Wiley
- Published
- 2011-05
- Volume
- 19
- Issue
- 5
- Pages
- 1083-1089
- ISSN
- 1930-7381 (ISSN-L)
- 1930-739X
- OpenAlex
- W2114872842
- Cited by
- 999
- References
- 4
- FWCI
- 39.87
- Type
- journal article
- Language
- en
- Open access
- green
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