The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Patterns of Abdominal Fat Distribution
Open accessAbstract
OBJECTIVE—The prevalence of abdominal obesity exceeds that of general obesity. We sought to determine the prevalence of abdominal subcutaneous and visceral obesity and to characterize the different patterns of fat distribution in a community-based sample. RESEARCH DESIGN AND METHODS—Participants from the Framingham Heart Study (n = 3,348, 48% women, mean age 52 years) underwent multidetector computed tomography; subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) volumes were assessed. Sex-specific high SAT and VAT definitions were based on 90th percentile cut points from a healthy referent sample. Metabolic risk factors were examined in subgroups with elevated SAT and VAT. RESULTS—The prevalence of high SAT was 30% (women) and 31% (men) and that for high VAT was 44% (women) and 42% (men). Overall, 27.8% of the sample was discordant for high SAT and high VAT: 19.9% had SAT less than but VAT equal to or greater than the 90th percentile, and 7.9% had SAT greater than but VAT less than the 90th percentile. The prevalence of metabolic syndrome was higher among women and men with SAT less than the 90th percentile and high VAT than in those with high SAT but VAT less than the 90th percentile, despite lower BMI and waist circumference. Findings were similar for hypertension, elevated triglycerides, and low HDL cholesterol. CONCLUSIONS—Nearly one-third of our sample has abdominal subcutaneous obesity, and >40% have visceral obesity. Clinical measures of BMI and waist circumference may misclassify individuals in terms of VAT and metabolic risk.
Overview
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
Verification
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.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Fox, C. S., Massaro, J. M., Hoffmann, U., Pou, K. M., Maurovich-Horvat, P., Liu, C.-Y., Vasan, R. S., Murabito, J. M., Meigs, J. B., Cupples, L. A., et al. (2007) · Circulation · doi:10.1161/circulationaha.106.675355 · Cited by 2,882
Self-citationCarr, D. B., Utzschneider, K. M., Hull, R. L., Kodama, K., Retzlaff, B. M., Brunzell, J. D., Shofer, J. B., Fish, B. E., Knopp, R. H., & Kahn, S. E. (2004) · Diabetes · doi:10.2337/diabetes.53.8.2087 · Cited by 993
Obesity, Regional Body Fat Distribution, and the Metabolic Syndrome in Older Men and Women
Goodpaster, B. H., Krishnaswami, S., Harris, T. B., Katsiaras, A., Kritchevsky, S. B., Simonsick, E. M., Nevitt, M., Holvoet, P., & Newman, A. B. (2005) · Archives of Internal Medicine · doi:10.1001/archinte.165.7.777 · Cited by 637
Influence of body fat content and distribution on variation in metabolic risk
Vega, G. L., Adams-Huet, B., Peshock, R., Willett, D., Shah, B., & Grundy, S. M. (2006) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2006-0814 · Cited by 312
Cited by
Gómez-Ambrosi, J., Silva, C., Galofré, J. C., Escalada, J., Santos, S., Millán, D., Vila, N., Ibañez, P., Gil, M. J., Valentí, V, et al. (2012) · International Journal of Obesity · doi:10.1038/ijo.2011.100 · Cited by 615
Causes, Characteristics, and Consequences of Metabolically Unhealthy Normal Weight in Humans
Stefan, N., Schick, F., & Häring, H.-U. (2017) · Cell Metabolism · doi:10.1016/j.cmet.2017.07.008 · Cited by 575
Adiposity, Cardiometabolic Risk, and Vitamin D Status: The Framingham Heart Study
Cheng, S., Massaro, J. M., Fox, C. S., Larson, M. G., Keyes, M. J., McCabe, E. L., Robins, S. J., O'Donnell, C. J., Hoffmann, U., Jacques, P. F., et al. (2010) · Diabetes · doi:10.2337/db09-1011 · Cited by 521
Self-citationPericardial Fat Is Associated With Prevalent Atrial Fibrillation: The Framingham Heart Study
Thanassoulis, G., Massaro, J. M., O'Donnell, C. J., Hoffmann, U., Levy, D., Ellinor, P. T., Wang, T. J., Schnabel, R. B., Vasan, R. S., Fox, C. S., et al. (2010) · Circulation: Arrhythmia and Electrophysiology · doi:10.1161/circep.109.912055 · Cited by 457
Self-citationSpeliotes, E. K., Massaro, J. M., Hoffmann, U., Vasan, R. S., Meigs, J. B., Sahani, D. V., Hirschhorn, J. N., O'Donnell, C. J., & Fox, C. S. (2010) · Hepatology · doi:10.1002/hep.23593 · Cited by 433
Self-citation
Metadata
- Authors
- Pou, K. M., Massaro, J. M., Hoffmann, U., Lieb, K., Vasan, R. S., O'Donnell, C. J., & Fox, C. S.
- Venue
- Diabetes Care
- Publisher
- American Diabetes Association
- Published
- 2009-03-01
- Volume
- 32
- Issue
- 3
- Pages
- 481-485
- ISSN
- 0149-5992 (ISSN-L)
- 1935-5548
- OpenAlex
- W2063294161
- Cited by
- 171
- References
- 4
- FWCI
- 8.28
- Type
- journal article
- Language
- en
- Open access
- hybrid
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Patterns of Abdominal Fat Distribution. https://app.cochat.ai/papers/10.2337/dc08-1359
- The paper
- Pou, K. M., Massaro, J. M., Hoffmann, U., Lieb, K., Vasan, R. S., O'Donnell, C. J., & Fox, C. S. (2009). Patterns of Abdominal Fat Distribution. Diabetes Care. https://doi.org/10.2337/dc08-1359
Data sources
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.