The DOI matches its Crossref record; 43 of the 43 references it cites were found in a registry or an index.
Obesity, Metabolic Syndrome, and Cardiovascular Disease
Abstract
Obesity is rampant in the United States and is becoming increasing common worldwide. The increase in obesity prevalence is due to two major factors, plentiful supplies of inexpensive foods and sedentary jobs. Both are driven in no small part by technology. Thanks to technology, production of large quantities of cheap food is possible, and manual work is rapidly disappearing. In areas of the world in which these advances have not penetrated, obesity is not a significant public health problem. Thus, obesity is a direct result of technological advance and represents a major challenge for technological society. Obesity must also be recognized as a product of free society in which a multitude of food choices and job opportunities are available. A public health approach to the problem of obesity that restricts choice will not be acceptable to a free society. This fact puts increased responsibility
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
Chobanian, A. V. (2003) · JAMA · doi:10.1001/jama.289.19.2560 · Cited by 25,386
Chobanian, A. V., Bakris, G. L., Black, H. R., Cushman, W. C., Green, L. A., Izzo, J. L., Jones, D. W., Materson, B. J., Oparil, S., Wright, J. T., et al. (2003) · Hypertension · doi:10.1161/01.hyp.0000107251.49515.c2 · Cited by 13,271
Detection, evaluation, and treatment of high blood cholesterol in adults (Adult Treatment Panel III)
Grundy, S. M., Becker, D. M., Clark, L. T., Cooper, R., Denke, M. A., Howard, J. L., Hunninghake, D. B., Illingworth, D. R., Luepker, R. V., McBride, P. E., et al. (2002) · Civil War Book Review · Cited by 12,198
Self-citationFord, E. S., Giles, W. H., & Dietz, W. H. (2002) · JAMA · doi:10.1001/jama.287.3.356 · Cited by 6,698
Grundy, S. M., Brewer, H. B., Cleeman, J. I., Smith, S. C., & Lenfant, C. (2004) · Circulation · doi:10.1161/01.cir.0000111245.75752.c6 · Cited by 5,982
Self-citationRandle, P. J., Garland, P. B., Hales, C. N., & Newsholme, E. A. (1963) · The Lancet · doi:10.1016/s0140-6736(63)91500-9 · Cited by 5,093
The metabolic syndrome and total and cardiovascular disease mortality in middle-aged men
Lakka, H.-M. (2002) · JAMA · doi:10.1001/jama.288.21.2709 · Cited by 5,033
Cardiovascular Morbidity and Mortality Associated With the Metabolic Syndrome
Isomaa, B., Almgren, P., Tuomi, T., Forsén, B., Lahti, K., Nissén, M., Taskinen, M.-R., & Groop, L. (2001) · Diabetes Care · doi:10.2337/diacare.24.4.683 · Cited by 4,760
Cellular mechanisms of insulin resistance
Shulman, G. I. (2000) · Journal of Clinical Investigation · doi:10.1172/jci10583 · Cited by 2,714
Clinical application of C-reactive protein for cardiovascular disease detection and prevention
Ridker, P. M. (2003) · Circulation · doi:10.1161/01.cir.0000053730.47739.3c · Cited by 2,513
Cited by
Grundy, S. M., Cleeman, J. I., Daniels, S. R., Donato, K. A., Eckel, R. H., Franklin, B. A., Gordon, D. J., Krauss, R. M., Savage, P. J., Smith, S. C., et al. (2005) · Circulation · doi:10.1161/circulationaha.105.169404 · Cited by 11,961
Self-citationDE HERT, M., CORRELL, C. U., BOBES, J., CETKOVICH‐BAKMAS, M., COHEN, D., ASAI, I., DETRAUX, J., GAUTAM, S., MÖLLER, H., NDETEI, D. M., et al. (2011) · World Psychiatry · doi:10.1002/j.2051-5545.2011.tb00014.x · Cited by 2,488
Short-chain fatty acids in control of body weight and insulin sensitivity
Canfora, E. E., Jocken, J. W., & Blaak, E. E. (2015) · Nature Reviews Endocrinology · doi:10.1038/nrendo.2015.128 · Cited by 2,298
A comprehensive review on metabolic syndrome
Kaur, J. (2014) · Cardiology Research and Practice · doi:10.1155/2014/943162 · Cited by 1,889
RetractedThe Emerging Risk Factors Collaboration (2011) · The Lancet · doi:10.1016/s0140-6736(11)60105-0 · Cited by 1,216
Metadata
- Authors
- Grundy, S. M.
- Venue
- The Journal of Clinical Endocrinology & Metabolism
- Publisher
- The Endocrine Society
- Published
- 2004-06
- Volume
- 89
- Issue
- 6
- Pages
- 2595-2600
- ISSN
- 0021-972X (ISSN-L)
- 1945-7197
- OpenAlex
- W2158103150
- Cited by
- 1,371
- References
- 43
- FWCI
- 50.74
- Type
- journal article
- Language
- en
- Open access
- closed
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: Obesity, Metabolic Syndrome, and Cardiovascular Disease. https://app.cochat.ai/papers/10.1210/jc.2004-0372
- The paper
- Grundy, S. M. (2004). Obesity, Metabolic Syndrome, and Cardiovascular Disease. The Journal of Clinical Endocrinology & Metabolism. https://doi.org/10.1210/jc.2004-0372
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.
