The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Beyond body mass index
Abstract
Summary: Body mass index (BMI) is the cornerstone of the current classification system for obesity and its advantages are widely exploited across disciplines ranging from international surveillance to individual patient assessment. However, like all anthropometric measurements, it is only a surrogate measure of body fatness. Obesity is defined as an excess accumulation of body fat, and it is the amount of this excess fat that correlates with ill‐health. We propose therefore that much greater attention should be paid to the development of databases and standards based on the direct measurement of body fat in populations, rather than on surrogate measures. In support of this argument we illustrate a wide range of conditions in which surrogate anthropometric measures (especially BMI) provide misleading information about body fat content. These include: infancy and childhood; ageing; racial differences; athletes; military and civil forces personnel; weight loss with and without exercise; physical training; and special clinical circumstances. We argue that BMI continues to serve well for many purposes, but that the time is now right to initiate a gradual evolution beyond BMI towards standards based on actual measurements of body fat mass.
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Citations
Cites
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Joining together to combat poverty
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Body Composition, Visceral Fat, Leptin, and Insulin Resistance in Asian Indian Men1
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Cited by
Garvey, W. T., Mechanick, J. I., Brett, E. M., Garber, A. J., Hurley, D. L., Jastreboff, A. M., Nadolsky, K., Pessah-Pollack, R., & Plodkowski, R. (2016) · Endocrine Practice · doi:10.4158/ep161365.gl · Cited by 1,914
The effects of physical activity on sleep: A meta-analytic review
Kredlow, M. A., Capozzoli, M. C., Hearon, B. A., Calkins, A. W., & Otto, M. W. (2015) · Journal of Behavioral Medicine · doi:10.1007/s10865-015-9617-6 · Cited by 1,333
Sarcopenic obesity: A new category of obesity in the elderly
Zamboni, M., Mazzali, G., Fantin, F., Rossi, A., & Di Francesco, V. (2008) · Nutrition, Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2007.10.002 · Cited by 953
Beyond BMI: The value of more accurate measures of fatness and obesity in social science research
Burkhauser, R. V., & Cawley, J. (2008) · Journal of Health Economics · doi:10.1016/j.jhealeco.2007.05.005 · Cited by 853
Health consequences of obesity in the elderly: a review of four unresolved questions
Zamboni, M., Mazzali, G., Zoico, E., Harris, T. B., Meigs, J. B., Di Francesco, V, Fantin, F., Bissoli, L., & Bosello, O. (2005) · International Journal of Obesity · doi:10.1038/sj.ijo.0803005 · Cited by 649
Metadata
- Authors
- Prentice, A. M., & Jebb, S. A.
- Venue
- Obesity Reviews
- Publisher
- Wiley
- Published
- 2001-08
- Volume
- 2
- Issue
- 3
- Pages
- 141-147
- ISSN
- 1467-7881 (ISSN-L)
- 1467-789X
- OpenAlex
- W1977118015
- Cited by
- 1,240
- References
- 17
- FWCI
- 5.71
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.