The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Body fat distribution and hyperinsulinemia as risk factors for diabetes and cardiovascular disease.
Abstract
Differences in body fat distribution between diabetics and nondiabetics have been recognized for several decades; diabetics have a more centralized or upper body fat pattern than nondiabetics. Recently, attention has focused on fat patterning and also on hyperinsulinemia as possible risk factors for cardiovascular disease, as well. The case for insulin as a cardiovascular risk factor is bolstered by theoretical considerations related to its possibly atherogenic effects on serum and arterial wall lipids. Empirical evidence for fat patterning and hyperinsulinemia as cardiovascular risk factors rests on six prospective epidemiologic studies, three on fat patterning and three on insulin. Although provocative, none of these studies can be regarded as definitive. In none was a dose-response effect demonstrated, and there are various inconsistencies within and across the studies. Moreover, in none of the studies were hyperinsulinemia and fat patterning evaluated simultaneously. This is of particular importance in view of the well-documented interrelationships between these two variables. For example, insulin resistance and hyperinsulinemia have been found to be greater in women with upper body obesity compared to women with lower body obesity of equivalent degree. Considerable progress has been made recently in understanding the mechanisms of the differential metabolic effects of these two types of obesity. The extent to which fat patterning and hyperinsulinemia are genetic or acquired has received relatively little attention. Further research on this question is warranted since elucidation of any environmental influences on these variables might suggest new clinical and public health control measures.
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
Hulley, S. B., Rosenman, R. H., Bawol, R. D., & Brand, R. J. (1980) · New England Journal of Medicine · doi:10.1056/nejm198006193022503 · Cited by 702
Mechanisms of insulin resistance in human obesity: evidence for receptor and postreceptor defects.
Kolterman, O. G., Insel, J., Saekow, M., & Olefsky, J. M. (1980) · Journal of Clinical Investigation · doi:10.1172/jci109790 · Cited by 664
Cited by
Obesity Accelerates the Progression of Coronary Atherosclerosis in Young Men
McGill, H. C., McMahan, C. A., Herderick, E. E., Zieske, A. W., Malcom, G. T., Tracy, R. E., & Strong, J. P. (2002) · Circulation · doi:10.1161/01.cir.0000018121.67607.ce · Cited by 684
Genetic and Nongenetic Determinants of Regional Fat Distribution
BOUCHARD, C., DESPRÉS, J.-P., & MAURIÈGE, P. (1993) · Endocrine Reviews · doi:10.1210/er.14.1.72 · Cited by 486
Deedwania, P., Barter, P., Carmena, R., Fruchart, J.-C., Grundy, S. M., Haffner, S., Kastelein, J. J., LaRosa, J. C., Schachner, H., Shepherd, J., et al. (2006) · The Lancet · doi:10.1016/s0140-6736(06)69292-1 · Cited by 387
Self-citationInsulin resistance and coronary artery disease
Bressler, P., Bailey, S. R., Matsuda, M., & DeFronzo, R. A. (1996) · Diabetologia · doi:10.1007/s001250050581 · Cited by 226
Grassi, G., Seravalle, G., Dell'Oro, R., Trevano, F. Q., Bombelli, M., Scopelliti, F., Facchini, A., & Mancia, G. (2003) · Journal of Hypertension · doi:10.1097/00004872-200309000-00027 · Cited by 225
Metadata
- Authors
- Stern, M. P., & Haffner, S. M.
- Venue
- Arteriosclerosis: An Official Journal of the American Heart Association, Inc.
- Published
- 1986-03
- Volume
- 6
- Issue
- 2
- Pages
- 123-130
- ISSN
- 0276-5047 (ISSN-L)
- OpenAlex
- W1989654418
- Cited by
- 331
- References
- 2
- FWCI
- 11.69
- 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
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.