The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.
A New Body Shape Index Predicts Mortality Hazard Independently of Body Mass Index
Open accessAbstract
BACKGROUND: Obesity, typically quantified in terms of Body Mass Index (BMI) exceeding threshold values, is considered a leading cause of premature death worldwide. For given body size (BMI), it is recognized that risk is also affected by body shape, particularly as a marker of abdominal fat deposits. Waist circumference (WC) is used as a risk indicator supplementary to BMI, but the high correlation of WC with BMI makes it hard to isolate the added value of WC. METHODS AND FINDINGS: We considered a USA population sample of 14,105 non-pregnant adults (age ≥ 18) from the National Health and Nutrition Examination Survey (NHANES) 1999-2004 with follow-up for mortality averaging 5 yr (828 deaths). We developed A Body Shape Index (ABSI) based on WC adjusted for height and weight: ABSI ≡ WC/(BMI(2/3)height(1/2)). ABSI had little correlation with height, weight, or BMI. Death rates increased approximately exponentially with above average baseline ABSI (overall regression coefficient of +33% per standard deviation of ABSI [95% confidence interval: +20%-+48%), whereas elevated death rates were found for both high and low values of BMI and WC. 22% (8%-41%) of the population mortality hazard was attributable to high ABSI, compared to 15% (3%-30%) for BMI and 15% (4%-29%) for WC. The association of death rate with ABSI held even when adjusted for other known risk factors including smoking, diabetes, blood pressure, and serum cholesterol. ABSI correlation with mortality hazard held across the range of age, sex, and BMI, and for both white and black ethnicities (but not for Mexican ethnicity), and was not weakened by excluding deaths from the first 3 yr of follow-up. CONCLUSIONS: Body shape, as measured by ABSI, appears to be a substantial risk factor for premature mortality in the general population derivable from basic clinical measurements. ABSI expresses the excess risk from high WC in a convenient form that is complementary to BMI and to other known risk factors.
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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
Park, Y., Kim, N. H., Kwon, T. Y., & Kim, S. G. (2018) · Scientific Reports · doi:10.1038/s41598-018-35073-4 · Cited by 548
Strengths and Limitations of BMI in the Diagnosis of Obesity: What is the Path Forward?
Sweatt, K., Garvey, W. T., & Martins, C. (2024) · Current Obesity Reports · doi:10.1007/s13679-024-00580-1 · Cited by 398
Jayedi, A., Soltani, S., Zargar, M. S., Khan, T. A., & Shab-Bidar, S. (2020) · BMJ · doi:10.1136/bmj.m3324 · Cited by 396
Metadata
- Authors
- Krakauer, N. Y., & Krakauer, J. C.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2012-07-18
- Volume
- 7
- Issue
- 7
- Pages
- e39504
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W2077415351
- Cited by
- 1,310
- References
- 54
- FWCI
- 16.42
- Type
- journal article
- Language
- en
- Open access
- gold
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