The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.
Prevalence of insulin resistance and associated cardiovascular disease risk factors among normal weight, overweight, and obese individuals
Abstract
Obese individuals tend to be both insulin resistant and at increased risk to develop cardiovascular disease (CVD). Given the increased prevalence of obesity in the US population, we thought it important to define the relationship between degree of obesity and insulin-mediated glucose disposal in the population at large, as well as the relationship between obesity, insulin resistance, and CVD risk in these individuals. To do this we quantified insulin-mediated glucose disposal in 465 healthy volunteers by determining the steady-state plasma glucose (SSPG) concentrations at the end of a 180-minute infusion of somatostatin, insulin, and glucose. Adiposity was estimated by body mass index (BMI) and the relationship between BMI and SSPG defined. In addition, a series of CVD risk factors were measured, including blood pressure, plasma glucose, and insulin concentrations, before and after 75 g of oral glucose, and fasting plasma lipid and lipoprotein concentrations. The results indicated that SSPG concentration and BMI were significantly correlated (r = 0.54, P >.001), and 36% of individuals in the most insulin-resistant tertile were obese (BMI >/= 30.0 kg/m(2)). However, 16% of those in the most insulin-resistant tertile were of normal weight (BMI < 25.0 kg/m(2)). Although CVD risk factors were accentuated in general with progressive increases in either BMI or SSPG concentration, important differences were noted. Thus, the higher the SSPG concentration, the more the increase in plasma glucose, insulin, and triglyceride (TG) concentrations, whereas the greater the BMI, the higher the low-density lipoprotein concentration. Furthermore, while CVD risk factors increased significantly with each tertile of insulin resistance, significant differences in CVD risk were only apparent when the lowest BMI tertile was compared with the other 2, with the values in the middle and upper BMI differing from each other. These results show that while BMI and insulin resistance are related, they are not synonymous, and that they make independent and different contributions to increasing CVD risk.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“Moreover, the population of the United States varies considerably in degree of insulin resistance 46 ; those having more inherent insulin resistance can develop the metabolic syndrome with only moderate excess in abdominal fat, 43,44 but even people with little or no inherent insulin resistance can develop the metabolic syndrome if they accumulate marked abdominal obesity.3,8”
From Diagnosis and Management of the Metabolic Syndrome: An American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement (2005) · cites this paper as [46]
Citations
Cites
Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus
The Expert Committee on the Diagnosis and Classification of Diabetes Mellitus* (2002) · Diabetes Care · doi:10.2337/diacare.25.2007.s5 · Cited by 10,325
(1998) · PsycEXTRA Dataset · doi:10.1037/e565682010-001 · Cited by 9,453
Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus
The Expert Committee on the Diagnosis and Classification of Diabetes Mellitus (1997) · Diabetes Care · doi:10.2337/diacare.20.7.1183 · Cited by 6,220
(1998) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/68.4.899 · Cited by 2,722
Hyperinsulinemia as an independent risk factor for ischemic heart disease
Després, J.-P., Lamarche, B., Mauriège, P., Cantin, B., Dagenais, G. R., Moorjani, S., & Lupien, P.-J. (1996) · New England Journal of Medicine · doi:10.1056/nejm199604113341504 · Cited by 1,699
Lillioja, S., Mott, D. M., Spraul, M., Ferraro, R., Foley, J. E., Ravussin, E., Knowler, W. C., Bennett, P. H., & Bogardus, C. (1993) · New England Journal of Medicine · doi:10.1056/nejm199312303292703 · Cited by 1,508
(1998) · PubMed · Cited by 1,259
Warram, J. H., Martin, B. C., Krolewski, A. S., Soeldner, J. S., & Kahn, C. R. (1990) · Annals of Internal Medicine · doi:10.7326/0003-4819-113-12-909 · Cited by 1,038
Ferrannini, E., Natali, A., Bell, P., Cavallo-Perin, P., Lalic, N., & Mingrone, G. (1997) · Journal of Clinical Investigation · doi:10.1172/jci119628 · Cited by 898
Rimm, E. B., Stampfer, M. J., Giovannucci, E. L., Ascherio, A., Spiegelman, D. L., Colditz, G. A., & Willett, W. C. (1995) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a117385 · Cited by 840
Are Health Care Professionals Advising Obese Patients to Lose Weight?
Galuska, D. A. (1999) · JAMA · doi:10.1001/jama.282.16.1576 · Cited by 640
Insulin resistance as a predictor of age-related diseases
Facchini, F. S., Hua, N., Abbasi, F., & Reaven, G. M. (2001) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jcem.86.8.7763 · Cited by 594
Self-citationOlefsky, J. M., Reaven, G. M., & Farquhar, J. W. (1974) · Journal of Clinical Investigation · doi:10.1172/jci107560 · Cited by 507
Self-citationShen, S.-W., Reaven, G. M., & Farquhar, J. W. (1970) · Journal of Clinical Investigation · doi:10.1172/jci106433 · Cited by 494
Self-citationTreatment of Obesity by Moderate and Severe Caloric Restriction: Results of Clinical Research Trials
Wadden, T. A. (1993) · Annals of Internal Medicine · doi:10.7326/0003-4819-119-7_part_2-199310011-00012 · Cited by 475
Kuczmarski, R. J., Carroll, M. D., Flegal, K. M., & Troiano, R. P. (1997) · Obesity Research · doi:10.1002/j.1550-8528.1997.tb00575.x · Cited by 461
Differentiation Between Obesity and Insulin Resistance in the Association With C-Reactive Protein
McLaughlin, T., Abbasi, F., Lamendola, C. A., Liang, L., Reaven, G. M., Schaaf, P., & Reaven, P. D. (2002) · Circulation · doi:10.1161/01.cir.0000041046.32962.86 · Cited by 369
Self-citationAssessment of Insulin Resistance with the Insulin Suppression Test and the Euglycemic Clamp
Greenfield, M. S., Doberne, L., Kraemer, F. B., Tobey, T. A., & Reaven, G. M. (1981) · Diabetes · doi:10.2337/diab.30.5.387 · Cited by 366
Self-citationResistance to Insulin-Mediated Glucose Disposal as a Predictor of Cardiovascular Disease
Yip, J. W., Facchini, F. S., & Reaven, G. M. (1998) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jcem.83.8.5005 · Cited by 359
Self-citationAbdominal and total adiposity and risk of coronary heart disease in men
Rexrode, K. M., Buring, J. E., & Manson, J. (2001) · International Journal of Obesity · doi:10.1038/sj.ijo.0801615 · Cited by 295
Evaluation of octreotide to assess insulin-mediated glucose disposal by the insulin suppression test
Pei, D., Jones, C. N. O., Bhargava, R., Chen, Y. I., & Reaven, G. M. (1994) · Diabetologia · doi:10.1007/bf00404344 · Cited by 209
Self-citationZavaroni, I., Bonini, L., Gasparini, P., Barilli, A. L., Zuccarelli, A., Dall’Aglio, E., Delsignore, R., & Reaven, G. M. (1999) · Metabolism · doi:10.1016/s0026-0495(99)90195-6 · Cited by 207
Self-citationHavlik, R. J., Hubert, H. B., FABSITZ, R. R., & Feinleib, M. (1983) · Annals of Internal Medicine · doi:10.7326/0003-4819-98-5-855 · Cited by 206
Han, T. S., Williams, K., Sattar, N. A., Hunt, K. J., Lean, M. E. J., & Haffner, S. M. (2002) · Obesity Research · doi:10.1038/oby.2002.126 · Cited by 190
Influence of Nutritional Factors on Prevalence of Diabetes
West, K. M., & Kalbfleisch, J. M. (1971) · Diabetes · doi:10.2337/diab.20.2.99 · Cited by 183
Insulin resistance, compensatory hyperinsulinaemia, and coronary heart disease
Reaven, G. M., & Laws, A. (1994) · Diabetologia · doi:10.1007/bf00400953 · Cited by 180
Self-citationWeyer, C., Hanson, K. A., Bogardus, C., & Pratley, R. E. (2000) · Diabetologia · doi:10.1007/s001250050005 · Cited by 91
Assessment of insulin resistance with the insulin suppression test and the euglycemic clamp
Greenfield, M. S., Doberne, L., Kraemer, F. B., et al. (1981) · Diabetes · doi:10.2337/diabetes.30.5.387 · Cited by 90
Individuals with high total cholesterol/hdl cholesterol ratios are insulin resistant
Jeppesen, Facchini, & Reaven (1998) · Journal of Internal Medicine · doi:10.1046/j.1365-2796.1998.00301.x · Cited by 89
Effect of weight loss on glucose disposal in obese and obese diabetic patients.
Golay, A., Jp, F., Dusmet, M., Espinosa-Gómez, F. C., Curchod, B., & Jéquier, E. (1985) · PubMed · Cited by 55
Insulin Resistance, Compensatory Hyperinsulinemia, and Coronary Heart Disease: Syndrome X Revisited
Reaven, G. M. (2001) · Comprehensive physiology · doi:10.1002/cphy.cp070238 · Cited by 32
Self-citationInsulin Resistance, Compensatory Hyperinsulinemia, and Coronary Heart Disease
Reaven, G. M. (2002) · Informa Healthcare eBooks · doi:10.1201/9780203910382.ch7 · Cited by 7
Self-citation
Cited by
Sorted by citations
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
Body Mass Index, Metabolic Syndrome, and Risk of Type 2 Diabetes or Cardiovascular Disease
Meigs, J. B., Wilson, P. W. F., Fox, C. S., Vasan, R. S., Nathan, D. M., SULLIVAN, L. M., & D’Agostino, R. B. (2006) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2006-0594 · Cited by 1,088
Activation and Dysregulation of the Unfolded Protein Response in Nonalcoholic Fatty Liver Disease
Puri, P., Mirshahi, F., Cheung, O., Natarajan, R., Maher, J. W., Kellum, J. M., & Sanyal, A. J. (2007) · Gastroenterology · doi:10.1053/j.gastro.2007.10.039 · Cited by 615
The Effects of Exercise and Physical Activity on Weight Loss and Maintenance
Swift, D. L., McGee, J. E., Earnest, C. P., Carlisle, E., Nygard, M., & Johannsen, N. M. (2018) · Progress in Cardiovascular Diseases · doi:10.1016/j.pcad.2018.07.014 · Cited by 536
The metabolic syndrome: is this diagnosis necessary?1,2
Reaven, G. M. (2006) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/83.6.1237 · Cited by 523
Self-citation
Metadata
- Authors
- McLaughlin, T., Allison, G., Abbasi, F., Lamendola, C., & Reaven, G.
- Affiliations
- Stanford Medicine (US)
- Venue
- Metabolism
- Publisher
- Elsevier BV
- Published
- 2004-04
- Volume
- 53
- Issue
- 4
- Pages
- 495-499
- ISSN
- 0026-0495 (ISSN-L)
- OpenAlex
- W1983287346
- Cited by
- 268
- References
- 31
- Citations by year
- 2026: 4 · 2025: 7 · 2024: 8 · 2023: 6 · 2022: 15 · 2021: 13 · 2020: 10 · 2019: 3 · 2018: 12 · 2017: 7 · 2016: 12 · 2015: 19 · 2014: 12 · 2013: 13 · 2012: 10
- FWCI
- 12.40
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Metabolism (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Center for Research Resources (K23RR016071, RR 00 070, M01RR000070, RR-16071)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Adipokines, Inflammation, and Metabolic Diseases
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Function and Risk Factors
- Keywords
- insulin resistance, obesity, cardiovascular risk factors, body mass index, steady-state plasma glucose, insulin-stimulated glucose disposal, triglycerides, low-density lipoprotein, blood pressure, plasma lipids, overweight
- MeSH terms
- Analysis of Variance, Blood Glucose, Blood Pressure, Body Weight, Cardiovascular Diseases, Female, Humans, Insulin Resistance, Cholesterol, HDL, Cholesterol, LDL, Male, Middle Aged, Obesity, Regression Analysis, Risk Factors, Triglycerides, Body Mass Index, Prevalence
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