Relationships between body roundness with body fat and visceral adipose tissue emerging from a new geometrical model: Body Roundness with Body Fat & Visceral Adipose Tissue
Open accessAbstract
OBJECTIVE: To develop a new geometrical index that combines height, waist circumference (WC), and hip circumference (HC) and relate this index to total and visceral body fat. DESIGN AND METHODS: Subject data were pooled from three databases that contained demographic, anthropometric, dual energy X-ray absorptiometry (DXA) measured fat mass, and magnetic resonance imaging measured visceral adipose tissue (VAT) volume. Two elliptical models of the human body were developed. Body roundness was calculated from the model using a well-established constant arising from the theory. Regression models based on eccentricity and other variables were used to predict %body fat and %VAT. RESULTS: A body roundness index (BRI) was derived to quantify the individual body shape in a height-independent manner. Body roundness slightly improved predictions of %body fat and %VAT compared to the traditional metrics of body mass index (BMI), WC, or HC. On this basis, healthy body roundness ranges were established. An automated graphical program simulating study results was placed at http://www.pbrc.edu/bodyroundness. CONCLUSION: BRI, a new shape measure, is a predictor of %body fat and %VAT and can be applied as a visual tool for health status evaluations.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
BRI was developed by Thomas et al. in 2013 based on fat mass measured by dual-energy X-ray absorptiometry and visceral fat measured by magnetic resonance imaging, along with waist circumference and height.
“BRI was developed by Thomas et al. [11] in 2013 based on fat mass measured by dual-energy X-ray absorptiometry and visceral fat measured by magnetic resonance imaging, along with waist circumference and height.”
From The discriminatory ability of the body roundness index and body mass index for metabolic diseases in Korean adults: a comparative study (2025) · cites this paper as [11]
The Elliptical Models and Body Roundness Index sections describe BRI as a transformation of an ellipse’s eccentricity, calculated using height and waist circumference. The Subjects and Design and Methods sections report DXA-measured body fat and MRI-measured visceral fat, but these measurements were used to develop and assess prediction models, not to calculate BRI itself. The claim conflates those roles. (LLM, conf=0.87)
Experimental — accuracy not yet measuredBRI incorporates additional body shape dimensions, including WC and height, to evaluate obesity and its associated health risks.
“Unlike conventional obesity-related anthropometric indices such as BMI, which primarily consider weight and height, BRI incorporates additional body shape dimensions, including WC and height, to accurately evaluate obesity and its associated health risks [10].”
From Effectiveness of body roundness index for the prediction of nonalcoholic fatty liver disease: a systematic review and meta-analysis (2025) · cites this paper as [10]
The Introduction describes BRI as a measure of body girth relative to height, and the Results report slightly improved predictions of body fat and visceral adipose tissue compared with BMI. But the Discussion says it remains to be shown how BRI relates to mortality and other health markers, so the claim that it accurately evaluates associated health risks goes beyond the paper's findings. No page numbers are available in our copy. (LLM, conf=0.88)
Experimental — accuracy not yet measuredThe Body Roundness Index (BRI) offers a superior estimation of body fat distribution and visceral adiposity than other traditional anthropometric measures.
“Introduced in 2013, the Body Roundness Index (BRI) offers a superior estimation of body fat distribution and visceral adiposity than other traditional anthropometric measures15,16.”
From The nonlinear association between body roundness index and infertility in married women (2025) · cites this paper as [15]
The body roundness index is linked to body fat and visceral adipose tissue.
“Additionally, the body roundness index (BRI) [14], a novel index calculated by a specific formula (1), ranges from 1 to 16 and is linked to body fat and visceral adipose tissue.”
From Machine learning with the body roundness index and associated indicators: a new approach to predicting metabolic syndrome (2025) · cites this paper as [14]
In 2013, Thomas DM and colleagues presented the body roundness index (BRI) as a predictor of visceral adiposity tissue and body fat percentage.
“In 2013, Thomas DM and colleagues presented the body roundness index (BRI) as a predictor of visceral adiposity tissue and body fat percentage [10].”
From Effectiveness of body roundness index for the prediction of nonalcoholic fatty liver disease: a systematic review and meta-analysis (2025) · cites this paper as [10]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Healthy percentage body fat ranges: an approach for developing guidelines based on body mass index
Gallagher, D., Heymsfield, S. B., Heo, M., Jebb, S. A., Murgatroyd, P. R., & Sakamoto, Y. (2000) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/72.3.694 · Cited by 2,139 · see citing works
Self-citationOrgan-tissue mass measurement allows modeling of REE and metabolically active tissue mass
Gallagher, D., Belmonte, D., Deurenberg, P., Wang, Z., Krasnow, N., Pi-Sunyer, F. X., & Heymsfield, S. B. (1998) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.1998.275.2.e249 · Cited by 470 · see citing works
Self-citation
Flagged first, then by citations
Research works printed but not linked: 27
- [1]Cai L Lubitz J Flegal KM Pamuk ER The predicted effects of chronic obesity in middle age on medicare costs and mortality Med Care 2010 48 6 510 7 20473195
- [2]Fontaine KR Redden DT Wang C Westfall AO Allison DB Years of life lost due to obesity JAMA 2003 289 2 187 93 12517229
- [3]Cowie CC Rust KF Byrd-Holt DD Eberhardt MS Flegal KM Engelgau MM Prevalence of diabetes and impaired fasting glucose in adults in the U.S. population: National Health And Nutrition Examination Survey 1999–2002 Diabetes Care 2006 29 6 1263 8 16732006
- [4]Li Z Bowerman S Heber D Health ramifications of the obesity epidemic Surg Clin North Am 2005 85 4 681 701 v 16061080
- [5]Heymsfield SB Martin-Nguyen A Fong TM Gallagher D Pietrobelli A Body circumferences: clinical implications emerging from a new geometric model Nutr Metab (Lond) 2008 5 24 18834550 PMC2569934
- [6]Vague J The degree of masculine differentiation of obesities: a factor determining predisposition to diabetes, atherosclerosis, gout, and uric calculous disease Am J Clin Nutr 1956 4 1 20 34 13282851
- [7]Brochu M Poehlman ET Ades PA Obesity, body fat distribution, and coronary artery disease J Cardiopulm Rehabil 2000 20 2 96 108 10763157
- [8]Despres JP Nadeau A Tremblay A Ferland M Moorjani S Lupien PJ Role of deep abdominal fat in the association between regional adipose tissue distribution and glucose tolerance in obese women Diabetes 1989 38 3 304 9 2645187
- [9]Kaess BM Pedley A Massaro JM Murabito J Hoffmann U Fox CS The ratio of visceral to subcutaneous fat, a metric of body fat distribution, is a unique correlate of cardiometabolic risk Diabetologia 2012 PMC3636065 22898763
- [10]Sironi AM Petz R De Marchi D Buzzigoli E Ciociaro D Positano V Impact of increased visceral and cardiac fat on cardiometabolic risk and disease Diabet Med 2012 29 5 622 7 22023514
- [11]Bergman RN A better index of body adiposity Obesity (Silver Spring) 2012 20 6 1135 22627975
- [12]Krakauer NY Krakauer JC A new body shape index predicts mortality hazard independently of body mass index PLoS One 2012 7 7 e39504 22815707 PMC3399847
- [13]Gomez-Ambrosi J Silva C Galofre JC Escalada J Santos S Millan D Body mass index classification misses subjects with increased cardiometabolic risk factors related to elevated adiposity Int J Obes (Lond) 2012 36 2 286 94 21587201
- [14]Berkova M Berka Z Obesity, body mass index, waist circumference and mortality Vnitr Lek 2011 57 1 85 91 21351667
- [15]Bergman RN Stefanovski D Buchanan TA Sumner AE Reynolds JC Sebring NG A better index of body adiposity Obesity (Silver Spring) 2011 19 5 1083 9 21372804 PMC3275633
- [16]Snijder MB Nicolaou M van Valkengoed IG Brewster LM Stronks K Newly Proposed Body Adiposity Index (BAI) by Bergman et al. Is Not Strongly Related to Cardiovascular Health Risk Obesity (Silver Spring) 2012 20 6 1138 9 22627979
- [17]Freedman DS Thornton J Pi-Sunyer FX Heymsfield SB Wang J Pierson RN Jr The body adiposity index (hip circumference/height(1.5)) is not a more accurate measure of adiposity than is BMI, waist circumference, or hip circumference Obesity (Silver Spring) 2012 PMC3477292 22484365
- [19]Bosy-Westphal A Booke CA Blocker T Kossel E Goele K Later W Measurement site for waist circumference affects its accuracy as an index of visceral and abdominal subcutaneous fat in a Caucasian population J Nutr 2010 140 5 954 61 20335625
- [20]Sun Q van Dam RM Spiegelman D Heymsfield SB Willett WC Hu FB Comparison of dual-energy x-ray absorptiometric and anthropometric measures of adiposity in relation to adiposity-related biologic factors Am J Epidemiol 2010 172 12 1442 54 20952596 PMC2998203
- [21]Shen W Chen J Gantz M Velasquez G Punyanitya M Heymsfield SB A Single mri Slice Does Not Accurately Predict Visceral and Subcutaneous Adipose Tissue Changes During Weight Loss Obesity (Silver Spring) 2012 PMC3466347 22728693
- [26]Flegal KM Shepherd JA Looker AC Graubard BI Borrud LG Ogden CL Comparisons of percentage body fat, body mass index, waist circumference, and waist-stature ratio in adults Am J Clin Nutr 2009 89 2 500 8 19116329 PMC2647766
- [27]Conway JM Yanovski SZ Avila NA Hubbard VS Visceral adipose tissue differences in black and white women Am J Clin Nutr 1995 61 4 765 71 7702017
- [28]Hoffman DJ Wang Z Gallagher D Heymsfield SB Comparison of visceral adipose tissue mass in adult African Americans and whites Obes Res 2005 13 1 66 74 15761164
- [29]Lear SA Humphries KH Kohli S Chockalingam A Frohlich JJ Birmingham CL Visceral adipose tissue accumulation differs according to ethnic background: results of the Multicultural Community Health Assessment Trial (M-CHAT) Am J Clin Nutr 2007 86 2 353 9 17684205
- [30]Hayes L Pearce MS Firbank MJ Walker M Taylor R Unwin NC Do obese but metabolically normal women differ in intra-abdominal fat and physical activity levels from those with the expected metabolic abnormalities? A cross-sectional study BMC Public Health 2010 10 723 21106050 PMC3001436
- [31]Fontaine KR Gadbury G Heymsfield SB Kral J Albu JB Allison D Quantitative prediction of body diameter in severely obese individuals Ergonomics 2002 45 1 49 60 11964194
- [32]Lim U Turner SD Franke AA Cooney RV Wilkens LR Ernst T Predicting total, abdominal, visceral and hepatic adiposity with circulating biomarkers in caucasian and Japanese american women PLoS One 2012 7 8 e43502 22912885 PMC3422255
Cited by
Sorted by citations
Gadde (2018) · doi:10.1016/j.jacc.2017.11.011 · Cited by 626 · see citing works
Tian, S., Zhang, X., Xu, Y., & Dong, H. (2016) · Medicine · doi:10.1097/md.0000000000004642 · Cited by 85 · see citing works
Motamed, N., Rabiee, B., Hemasi, G. R., Ajdarkosh, H., Khonsari, M. R., Maadi, M., Keyvani, H., & Zamani, F. (2016) · Hepatitis Monthly · doi:10.5812/hepatmon.39575 · Cited by 80 · see citing works
2025 ACC Scientific Statement on the Management of Obesity in Adults With Heart Failure
Kittleson, M. M., Benjamin, E. J., Blumer, V., Harrington, J., Januzzi, J. L., McMurray, J. J. V., & Vest, A. R. (2025) · JACC · doi:10.1016/j.jacc.2025.05.008 · Cited by 79 · see citing works
Lin, I.-T., Lee, M.-Y., Wang, C.-W., Wu, D.-W., & Chen, S.-C. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18030857 · Cited by 69 · see citing works
Li, Z., Fan, C., Huang, J., Chen, Z., Yu, X., & Qian, J. (2024) · British Journal of Nutrition · doi:10.1017/s0007114524000357 · Cited by 50 · see citing works
Eng, P. C., Teo, A. E. D., Leow, M. K. S., Tai, E. S., & Khoo, C. M. (2025) · Diabetes, Obesity and Metabolism · doi:10.1111/dom.16601 · Cited by 22 · see citing works
Khanmohammadi, S., Fallahtafti, P., Habibzadeh, A., Ezzatollahi Tanha, A., Alamdari, A. A., Fallahtafti, P., & Shafi Kuchay, M. (2025) · Lipids in Health and Disease · doi:10.1186/s12944-025-02544-3 · Cited by 19 · see citing works
“Unlike conventional obesity-related anthropometric indices such as BMI, which primarily consider weight and height, BRI incorporates additional body shape dimensions, including WC and height, to accurately evaluate obesity and its associated health risks [10].”
InfluentialHe, Y., Chen, Z., Tang, Z., Qin, Y., & Wang, F. (2025) · BMC Public Health · doi:10.1186/s12889-025-23858-y · Cited by 5 · see citing works
The nonlinear association between body roundness index and infertility in married women
Fang, Y., Ren, D., Pan, J., & Xu, Q. (2025) · Scientific Reports · doi:10.1038/s41598-025-86948-2 · Cited by 5 · see citing works
Yoon, S. J., & Kwon, H.-J. (2025) · Epidemiology and Health · doi:10.4178/epih.e2025069
“BRI was developed by Thomas et al. [11] in 2013 based on fat mass measured by dual-energy X-ray absorptiometry and visceral fat measured by magnetic resonance imaging, along with waist circumference and height.”
- Authors
- Thomas, D. M., Bredlau, C., Bosy-Westphal, A., Mueller, M., Shen, W., Gallagher, D., Maeda, Y., McDougall, A., Peterson, C. M., Ravussin, E., & Heymsfield, S. B.
- Affiliations
- Montclair State University (US)
- Institute of Human Nutrition and Food Science; Christian-Albrechts University; Kiel Germany
- Christian-Albrechts-Universität zu Kiel (DE)
- St. Luke's-Roosevelt Hospital Center (US)
- Pennington Biomedical Research Center (US)
- Pennington Biomedical Research Center; Baton Rouge LA USA
- Corresponding author
- Thomas, Diana M.
- Venue
- Obesity
- Publisher
- Wiley
- Published
- 2013-06-11
- Volume
- 21
- Issue
- 11
- Pages
- 2264-2271
- ISSN
- 1930-7381 (ISSN-L)
- PMC
- PMC3692604
- OpenAlex
- W1601494409
- Cited by
- 1,074
- References
- 2
- Citations by year
- 2026: 269 · 2025: 350 · 2024: 146 · 2023: 75 · 2022: 71 · 2021: 60 · 2020: 28 · 2019: 23 · 2018: 25 · 2017: 10 · 2016: 9 · 2015: 5 · 2014: 3
- FWCI
- 3.95
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Obesity (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health
- Nutrition Obesity Research Center, University of North Carolina
- National Institute of Diabetes and Digestive and Kidney Diseases (R15DK090739, DK064584, DK094418, U01DK094418, P30DK026687, T32DK064584, P30DK072476)
- Topics
- Health Sciences › Medicine › Physiology › Body Composition Measurement Techniques
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Disease and Adiposity
- Keywords
- body roundness index, body shape, visceral adipose tissue, body fat percentage, waist circumference, hip circumference, eccentricity, anthropometric indices, body mass index
- MeSH terms
- Adipose Tissue, Adult, Aged, Body Weights and Measures, Female, Health Status Indicators, Humans, Magnetic Resonance Imaging, Male, Middle Aged, Models, Biological, Somatotypes, Absorptiometry, Photon, Intra-Abdominal Fat, Adiposity, Waist Circumference, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review