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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.
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“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
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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
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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
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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
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Reaven, G. M. (2006) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/83.6.1237 · Cited by 523
Self-citationTHE INSULIN RESISTANCE SYNDROME: Definition and Dietary Approaches to Treatment
Reaven, G. M. (2005) · Annual Review of Nutrition · doi:10.1146/annurev.nutr.24.012003.132155 · Cited by 516
Self-citationDiagnosis and management of the metabolic syndrome
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) · Current Opinion in Cardiology · doi:10.1097/01.hco.0000200416.65370.a0 · Cited by 437
Preis, S., Massaro, J., Robins, S. J., Hoffmann, U., Vasan, R., Irlbeck, T., Meigs, J., Sutherland, P., D'Agostino, R. B., O'Donnell, C. J., et al. (2010) · Obesity · doi:10.1038/oby.2010.59 · Cited by 430
McLaughlin, T., Sherman, A., Tsao, P., Gonzalez, O., Yee, G., Lamendola, C., Reaven, G. M., & Cushman, S. W. (2007) · Diabetologia · doi:10.1007/s00125-007-0708-y · Cited by 364
Self-citationGeloneze, B., Vasques, A. C. J., Stabe, C. F. C., Pareja, J. C., Rosado, L. E. F. P. D. L., de Queiroz, E. C., & Tambascia, M. A. (2009) · Arquivos Brasileiros de Endocrinologia & Metabologia · doi:10.1590/s0004-27302009000200020 · Cited by 357
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Zamanian, R. T., Hansmann, G., Snook, S., Lilienfeld, D. E., Rappaport, K., Reaven, G. M., Rabinovitch, M., & Doyle, R. L. (2008) · European Respiratory Journal · doi:10.1183/09031936.00000508 · Cited by 269
Self-citationLi, C., Ford, E. S., Meng, Y., Mokdad, A. H., & Reaven, G. M. (2008) · Cardiovascular Diabetology · doi:10.1186/1475-2840-7-4 · Cited by 232
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Reaven, G. M. (2011) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2010.02325.x · Cited by 214
Self-citationCefalu, W. T. (2006) · ILAR Journal · doi:10.1093/ilar.47.3.186 · Cited by 206
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McLaughlin, T., Craig, C. M., Liu, L.-F., Perelman, D., Allister, C. A., Spielman, D. M., & Cushman, S. W. (2016) · Diabetes · doi:10.2337/db15-1213 · Cited by 150
Self-citationBrambilla, P., Lissau, I., Flodmark, C., Moreno, L. A., Widhalm, K., Wabitsch, M., & Pietrobelli, A. (2007) · International Journal of Obesity · doi:10.1038/sj.ijo.0803581 · Cited by 137
Subcutaneous adipose cell size and distribution: Relationship to insulin resistance and body fat
McLaughlin, T., Lamendola, C. A., Coghlan, N., Liu, T.-C., Lerner, K., Sherman, A., & Cushman, S. W. (2013) · Obesity · doi:10.1002/oby.20209 · Cited by 140
Self-citationDiamanti‐Kandarakis, E. (2006) · Endocrine · doi:10.1385/endo:30:1:13 · Cited by 137
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Self-citationReaven, G. (2005) · Diabetes and Vascular Disease Research · doi:10.3132/dvdr.2005.017 · Cited by 135
Self-citationLee, S.-H., Han, K., Yang, H. K., Kim, H. S., Cho, J., Kwon, H.-S., Park, Y.-M., Cha, B. S., & Yoon, K.-H. (2015) · Nutrition and Diabetes · doi:10.1038/nutd.2014.46 · Cited by 134
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Messier, V., Karelis, A. D., Prud’homme, D., Primeau, V., Brochu, M., & RABASA-LHORET, R. P. R. (2009) · Obesity · doi:10.1038/oby.2009.364 · Cited by 132
Park, J.-J., Berggren, J. R., Hulver, M. W., Houmard, J. A., & Hoffman, E. P. (2006) · Physiological Genomics · doi:10.1152/physiolgenomics.00045.2006 · Cited by 135
Burns, T. A., Geor, R. J., Mudge, M. C., McCutcheon, L. J., Hinchcliff, K. W., & Belknap, J. K. (2010) · Journal of Veterinary Internal Medicine · doi:10.1111/j.1939-1676.2010.0551.x · Cited by 129
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Vogeser, M., König, D., Frey, I., Predel, H., Parhofer, K. G., & Berg, A. (2007) · Clinical Biochemistry · doi:10.1016/j.clinbiochem.2007.05.009 · Cited by 128
Martínez-Colón, G. J., Ratnasiri, K., Chen, R., Jiang, S., ZANLEY, E. J., Rustagi, A., Verma, R., Chen, H. M., Andrews, J. R., Mertz, K. D., et al. (2022) · Science Translational Medicine · doi:10.1126/scitranslmed.abm9151 · Cited by 140
Self-citationNduhirabandi, F., Toit, E. F. D., & Lochner, A. (2012) · Acta Physiologica · doi:10.1111/j.1748-1716.2012.02410.x · Cited by 116
Kamenov, Z., & Gateva, A. (2020) · Molecules · doi:10.3390/molecules25235566 · Cited by 100
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BackgroundJamka, M., Woźniewicz, M., Jeszka, J., Mardas, M., Bogdański, P., & Stelmach-Mardas, M. (2015) · Scientific Reports · doi:10.1038/srep16142 · Cited by 103
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Tandon, P., Wafer, R., & Minchin, J. E. N. (2018) · Journal of Experimental Biology · doi:10.1242/jeb.164970 · Cited by 106
McLaughlin, T., Carter, S., Lamendola, C., Abbasi, F., Yee, G., Schaaf, P., Basina, M., & Reaven, G. (2006) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/84.4.813 · Cited by 95
Self-citationMacLaren, R., Cui, W., Simard, S., & Cianflone, K. (2007) · Journal of Lipid Research · doi:10.1194/jlr.m700199-jlr200 · Cited by 95
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Pataky, Z., Bobbioni-Harsch, E., & Golay, A. (2010) · International Journal of Obesity · doi:10.1038/ijo.2010.235 · Cited by 93
Piché, M., Weisnagel, S. J., Corneau, L., Nadeau, A., Bergeron, J., & Lemieux, S. (2005) · Diabetes · doi:10.2337/diabetes.54.3.770 · Cited by 87
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Vega, G. L., Chandalia, M., Szczepaniak, L. S., & Grundy, S. M. (2007) · Hepatology · doi:10.1002/hep.21727 · Cited by 84
Park, E., Edirisinghe, I., Wei, H., Vijayakumar, L. P., Banaszewski, K., Cappozzo, J. C., & Burton‐Freeman, B. M. (2016) · Molecular Nutrition & Food Research · doi:10.1002/mnfr.201500845 · Cited by 83
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Oost, L. J., Tack, C. J., & de Baaij, J. H. F. (2022) · Endocrine Reviews · doi:10.1210/endrev/bnac028 · Cited by 78
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Wolk, R. A., & Somers, V. K. (2005) · Diabetes Obesity and Metabolism · doi:10.1111/j.1463-1326.2005.00508.x · Cited by 79
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Maddux, B. A., Chan, A., Mandarino, L. J., Goldfine, I. D., & Filippis, E. A. D. (2006) · Diabetes Care · doi:10.2337/dc05-1367 · Cited by 75
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Yi, K. H., Hwang, J. S., Kim, E. Y., Lee, S. H., Kim, D. H., & Lim, J. S. (2013) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2013.10.021 · Cited by 70
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López-Jaramillo, P. A., Silva, S. Y., Rodríguez-Salamanca, N., Duràn, A., Mosquera, W., & Castillo, V. R. (2008) · American Journal of Therapeutics · doi:10.1097/mjt.0b013e318164bf9c · Cited by 53
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Kishore, P., Li, W., Tonelli, J., Lee, D.-E., Koppaka, S., Zhang, K., Lin, Y., Kehlenbrink, S., Scherer, P. E., & Hawkins, M. A. (2010) · Science Translational Medicine · doi:10.1126/scitranslmed.3000292 · Cited by 48
Allister, C. A., Liu, L.-F., Lamendola, C. A., Craig, C. M., Cushman, S. W., Hellerstein, M. K., & McLaughlin, T. (2014) · Journal of Lipid Research · doi:10.1194/jlr.m052860 · Cited by 50
Self-citationOka, R., Yagi, K., Sakurai, M., Nakamura, K., Nagasawa, S., Miyamoto, S., Nohara, A., Kawashiri, M., Hayashi, K., Takeda, Y., et al. (2012) · Journal of Atherosclerosis and Thrombosis · doi:10.5551/jat.12294 · Cited by 42
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Blendea, M. C., Bard, M., Sowers, J. R., & Winer, N. (2005) · Metabolism · doi:10.1016/j.metabol.2005.04.023 · Cited by 37
Meng, Y., Ford, E. S., Li, C., Quarshie, A., Al-Mahmoud, A., Giles, W. H., Gibbons, G. H., & Strayhorn, G. (2007) · Clinical Chemistry · doi:10.1373/clinchem.2007.088930 · Cited by 37
Rasgon, N., Watson, K. T., Lin, J., Epel, E. S., & Blackburn, E. H. (2016) · Translational Psychiatry · doi:10.1038/tp.2015.187 · Cited by 37
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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
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