The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.
Obesity as a cardiovascular risk factor
Abstract
The prevalence of overweight and obesity continues to increase rapidly in the United States, with more than half of all adults currently overweight or obese. In general, people become obese because of a combination of inherited genes and a lifestyle consisting of low levels of physical activity and consumption of excess calories. Obesity, especially the central or visceral type, is a predisposing factor for the development of type 2 diabetes mellitus, hypertension, and cardiovascular disease (CVD). Obesity and type 2 diabetes are associated with insulin resistance. The relation among obesity, insulin resistance, and CVD appears to develop at a relatively young age. Central obesity is linked with hyperinsulinemia, insulin resistance, dyslipidemia, and proinflammatory and prothrombotic clinical states. Adipose tissue synthesizes and secretes biologically active molecules that may affect CVD risk factors. These chemical messengers include adiponectin, resistin, leptin, plasminogen activator inhibitor-1, tumor necrosis factor-alpha, and interleukin-6. In overweight and obese individuals, weight loss may improve insulin sensitivity, leading to reduction in risk factors for CVD and, consequently, the potential for cardiovascular events. Agents that improve insulin sensitivity, such as the thiazolidinediones, have been shown to reduce visceral obesity. Decreases in visceral adipose tissue contribute to improvements in insulin sensitivity and blood pressure, and weight loss reduces serum levels of triglycerides and low-density lipoprotein cholesterol while increasing serum levels of high-density lipoprotein cholesterol. Reduction of risk factors suggests that the development of cardiovascular disease will be reduced by the improvement of insulin sensitivity and weight loss.
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“Indeed, central obesity is undeniably a risk marker, and probably a risk factor for the development and progression of coronary artery disease (43, 105, 185–188, 229, 241, 328).”
From Cardiac remodeling in obesity (2008) · cites this paper as [328]
Citations
Cites
(1998) · PsycEXTRA Dataset · doi:10.1037/e565682010-001 · Cited by 9,453
Ford, E. S., Giles, W. H., & Dietz, W. H. (2002) · JAMA · doi:10.1001/jama.287.3.356 · Cited by 6,698
Prevalence of obesity, diabetes, and obesity-related health risk factors, 2001
Mokdad, A. H., Ford, E. S., Bowman, B. A., Dietz, W. H., Vinicor, F., Bales, V. S., & Marks, J. S. (2003) · JAMA · doi:10.1001/jama.289.1.76 · Cited by 5,866
Yamauchi, T., Kamon, J., Waki, H., Terauchi, Y., Kubota, N., Hara, K., Mori, Y., Ide, T., Murakami, K., Tsuboyama-Kasaoka, N., et al. (2001) · Nature Medicine · doi:10.1038/90984 · Cited by 4,915
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
The hormone resistin links obesity to diabetes
Steppan, C. M., Bailey, S. T., Bhat, S., Brown, E. J., Banerjee, R. R., Wright, C. M., Patel, H. R., Ahima, R. S., & Lazar, M. A. (2001) · Nature · doi:10.1038/35053000 · Cited by 4,755
Hotamisligil, G. S., Arner, P., Caro, J. F., Atkinson, R. L., & Spiegelman, B. M. (1995) · Journal of Clinical Investigation · doi:10.1172/jci117936 · Cited by 3,543
Plasma Concentrations of a Novel, Adipose-Specific Protein, Adiponectin, in Type 2 Diabetic Patients
Hotta, K., Funahashi, T., Arita, Y., Takahashi, M., Matsuda, M., Okamoto, Y., Iwahashi, H., Kuriyama, H., Ouchi, N., Maeda, K., et al. (2000) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/01.atv.20.6.1595 · Cited by 3,133
The Continuing Epidemics of Obesity and Diabetes in the United States
Mokdad, A. H. (2001) · JAMA · doi:10.1001/jama.286.10.1195 · Cited by 2,730
Elevated C-reactive protein levels in overweight and obese adults
Visser, M. (1999) · JAMA · doi:10.1001/jama.282.22.2131 · Cited by 2,494
Research works printed but not linked: 2
- Overweight and obesity threaten US health gains: communities can help address the problem, Surgeon General says [press release]. Washington, DC: US Dept of Health and Human Services; December 13, 2001
- Kelley, 2002, Comparative effects of rosiglitazone and metformin on fatty liver and visceral adiposity in type 2 diabetes mellitus, Diabetes, 51, A35
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Newgard, C. B., An, J., Bain, J. R., Muehlbauer, M. J., Stevens, R. D., Lien, L. F., Haqq, A. M., Shah, S. H., Arlotto, M., Slentz, C. A., et al. (2009) · Cell Metabolism · doi:10.1016/j.cmet.2009.02.002 · Cited by 3,165
“Obesity has reached epidemic proportions in many countries around the world and is strongly linked to a number of chronic diseases, including diabetes, hypertension, and cardiovascular disease (Hedley et al., 2004; Sowers, 2003).”
BackgroundAdipose Tissue, Inflammation, and Cardiovascular Disease
Berg, A. H., & Scherer, P. E. (2005) · Circulation Research · doi:10.1161/01.res.0000163635.62927.34 · Cited by 2,113
Biodegradable Cellulose-based Hydrogels: Design and Applications
Sannino, A., Demitri, C., & Madaghiele, M. (2009) · Materials · doi:10.3390/ma2020353 · Cited by 847
“Moreover, being overweight or obese often has a dramatic impact on the psychological well-being, reducing the overall quality of life [62-64].”
BackgroundAbel, E. D., Litwin, S. E., & Sweeney, G. (2008) · Physiological Reviews · doi:10.1152/physrev.00017.2007 · Cited by 736
Adiponectin: A Novel Adipokine Linking Adipocytes and Vascular Function
Goldstein, B. J., & Scalia, R. G. (2004) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2004-0518 · Cited by 647
“Insulin resistance, a failure of circulating insulin to elicit its expected responses in glucose and lipid metabolism, plays a key role in the development of the metabolic syndrome, a complex set of risk factors, including hyperinsulinemia, hypertension, glucose intolerance, and dyslipidemia, that dramatically heighte…”
Metadata
- Authors
- Sowers, J. R.
- Affiliations
- Harry S. Truman Memorial Veterans' Hospital (US)
- Corresponding author
- Sowers, James R
- ORCID
- Sowers, James R
- Venue
- The American Journal of Medicine
- Publisher
- Elsevier BV
- Published
- 2003-12
- Volume
- 115
- Issue
- 8
- Pages
- 37-41
- ISSN
- 0002-9343 (ISSN-L)
- OpenAlex
- W2053454761
- Cited by
- 584
- References
- 53
- Citations by year
- 2026: 7 · 2025: 13 · 2024: 14 · 2023: 20 · 2022: 17 · 2021: 23 · 2020: 24 · 2019: 15 · 2018: 27 · 2017: 20 · 2016: 23 · 2015: 28 · 2014: 29 · 2013: 21 · 2012: 21
- FWCI
- 5.05
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- The American Journal of Medicine (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Heart, Lung, and Blood Institute (R01-HL63904-01)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Adipokines, Inflammation, and Metabolic Diseases
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Disease and Adiposity
- Keywords
- obesity, cardiovascular disease, abdominal obesity, visceral adipose tissue, insulin resistance, type 2 diabetes, hyperinsulinemia, dyslipidemia, adipokines, leptin, adiponectin, resistin, weight loss, thiazolidinediones, hypertension, cardiovascular risk factors
- MeSH terms
- Adipose Tissue, Blood Pressure, Cardiovascular Diseases, Humans, Insulin Resistance, Motor Activity, Obesity, Risk Factors, United States, Prevalence
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