Cited by 1,589Diabetes, Cardiovascular Risks, and LipoproteinsAdipokines, Inflammation, and Metabolic DiseasesCardiovascular Disease and Adiposity

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Abdominal Obesity and the Metabolic Syndrome: Contribution to Global Cardiometabolic Risk

Després, Jean-Pierre, Lemieux, Isabelle, Bergeron, Jean, Pibarot, Philippe, Mathieu, Patrick, Larose, Eric, Rodés-Cabau, Josep, Bertrand, Olivier F., Poirier, Paul·2008·Arteriosclerosis Thrombosis and Vascular Biology

DOI 10.1161/atvbaha.107.159228

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Abstract

There is currently substantial confusion between the conceptual definition of the metabolic syndrome and the clinical screening parameters and cut-off values proposed by various organizations (NCEP-ATP III, IDF, WHO, etc) to identify individuals with the metabolic syndrome. Although it is clear that in vivo insulin resistance is a key abnormality associated with an atherogenic, prothrombotic, and inflammatory profile which has been named by some the "metabolic syndrome" or by others "syndrome X" or "insulin resistance syndrome", it is more and more recognized that the most prevalent form of this constellation of metabolic abnormalities linked to insulin resistance is found in patients with abdominal obesity, especially with an excess of intra-abdominal or visceral adipose tissue. We have previously proposed that visceral obesity may represent a clinical intermediate phenotype reflecting the relative inability of subcutaneous adipose tissue to act as a protective metabolic sink for the clearance and storage of the extra energy derived from dietary triglycerides, leading to ectopic fat deposition in visceral adipose depots, skeletal muscle, liver, heart, etc. Thus, visceral obesity may partly be a marker of a dysmetabolic state and partly a cause of the metabolic syndrome. Although waist circumference is a better marker of abdominal fat accumulation than the body mass index, an elevated waistline alone is not sufficient to diagnose visceral obesity and we have proposed that an elevated fasting triglyceride concentration could represent, when waist circumference is increased, a simple clinical marker of excess visceral/ectopic fat. Finally, a clinical diagnosis of visceral obesity, insulin resistance, or of the metabolic syndrome is not sufficient to assess global risk of cardiovascular disease. To achieve this goal, physicians should first pay attention to the classical risk factors while also considering the additional risk resulting from the presence of abdominal obesity and the metabolic syndrome, such global risk being defined as cardiometabolic risk.

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Summary of the second report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel II)
Grundy, S. M., Bilheimer, D. W., Chait, A., Clark, L. T., Denke, M. A., Havel, R. J., Hazzard, W. R., Hulley, S. B., Hunninghake, D. B., Kreisberg, R. A., et al. (1993) · JAMA · doi:10.1001/jama.269.23.3015 · Cited by 27,944
Executive Summary of the Third Report of the National Cholesterol Education Program (NCEP) Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (Adult Treatment Panel III)
Expert Panel on Detection, E. (2001) · JAMA: The Journal of the American Medical Association · doi:10.1001/jama.285.19.2486 · Cited by 26,011
Role of Insulin Resistance in Human Disease
Reaven, G. M. (1988) · Diabetes · doi:10.2337/diab.37.12.1595 · Cited by 12,154
Diagnosis and Management of the Metabolic Syndrome: An American Heart Association/National Heart, Lung, and Blood Institute Scientific Statement
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
The metabolic syndrome—a new worldwide definition
Alberti, K. G. M., Zimmet, P., & Shaw, J. (2005) · The Lancet · doi:10.1016/s0140-6736(05)67402-8 · Cited by 9,352
Definition of Metabolic Syndrome: Report of the National Heart, Lung, and Blood Institute/American Heart Association Conference on Scientific Issues Related to Definition
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
Estimation of ten-year risk of fatal cardiovascular disease in Europe: the SCORE project
Conroy, R. (2003) · European Heart Journal · doi:10.1016/s0195-668x(03)00114-3 · Cited by 5,290
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
Insulin Resistance: A Multifaceted Syndrome Responsible for NIDDM, Obesity, Hypertension, Dyslipidemia, and Atherosclerotic Cardiovascular Disease
DeFronzo, R. A., & Ferrannini, E. (1991) · Diabetes Care · doi:10.2337/diacare.14.3.173 · Cited by 4,555

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Shi, S.-Q., Li, S.-S., Zhang, X., Wei, Z., Fu, W., He, J., Hu, Y.-Q., Li, M., Zheng, L., & Zhang, Z. (2021) · Frontiers in Endocrinology · doi:10.3389/fendo.2021.656077 · Cited by 17
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Zhang, Z.-Q., Li-ping, H., Xie, X., Ling, W., Deng, J., Su, Y., & Chen, Y. (2014) · PLoS ONE · doi:10.1371/journal.pone.0104361 · Cited by 15
Metabolic syndrome and inflammatory biomarkers in adults: a population-based survey in Western region of iran.
Maleki, A. R., Rashidi, N., Meybodi, H. A., Montazeri, M., Montazeri, M., Falsafi, F., Ghanavati, R., Forughi, S., & Aliyari, F. (2014) · PubMed Central · Cited by 15
Effect of aerobic exercise training on cardiometabolic risk factors among professional athletes in the heaviest-weight class
Guo, J., Lou, Y., Zhang, X., & Song, Y. (2015) · Diabetology & Metabolic Syndrome · doi:10.1186/s13098-015-0071-y · Cited by 18
Predominance of Abdominal Visceral Adipose Tissue Reflects the Presence of Aortic Valve Calcification
Oikawa, M., Owada, T., Yamauchi, H., Misaka, T., Machii, H., Yamaki, T., Sugimoto, K., Kunii, H., Nakazato, K., Suzuki, H., et al. (2016) · BioMed Research International · doi:10.1155/2016/2174657 · Cited by 16
Ages at Onset of 5 Cardiometabolic Diseases Adjusting for Nonsusceptibility: Implications for the Pathogenesis of Metabolic Syndrome
Tsay, Y., Chen, C., & Pan, W. (2016) · American Journal of Epidemiology · doi:10.1093/aje/kwv449 · Cited by 15
Intra-abdominal fat: Comparison of computed tomography fat segmentation and bioimpedance spectroscopy
Finch, P. (2017) · Malawi Medical Journal · doi:10.4314/mmj.v29i2.15 · Cited by 15
In women with PCOS , waist circumference is a better surrogate of glucose and lipid metabolism than disease status per se
Pazderska, A., Tun, T. K., Phelan, N., McGowan, A., Sherlock, M., Behan, L., Boran, G. P., & Gibney, J. (2017) · Clinical Endocrinology · doi:10.1111/cen.13542 · Cited by 17
Comparisons of different indices of low muscle mass in relationship with cardiometabolic disorder
Kim, J. Y., Oh, S., Park, H. Y., Jun, J. H., & Kim, H. J. (2019) · Scientific Reports · doi:10.1038/s41598-018-37347-3 · Cited by 17
Association of serum calcium level with waist circumference and other biochemical health-care predictors among patients with type 2 diabetes
Shahwan, M. J., Khattab, M. H., & Jairoun, A. A. (2019) · Journal of Pharmacy And Bioallied Sciences · doi:10.4103/jpbs.jpbs_137_19 · Cited by 15
Digital exercise interventions for improving measures of central obesity: a systematic review
Ballin, M., Hult, A., Björk, S., Dinsmore, J. G., Nordström, P., & Nordström, A. (2020) · International Journal of Public Health · doi:10.1007/s00038-020-01385-4 · Cited by 16
Mediation role of body fat distribution (FD) on the relationship between CAV1 rs3807992 polymorphism and metabolic syndrome in overweight and obese women
Abaj, F., Saeedy, S. A. G., & Mirzaei, K. (2021) · BMC Medical Genomics · doi:10.1186/s12920-021-01050-6 · Cited by 15
Intraperitoneal Fat and Insulin Resistance in Obese Adolescents
Glaser Pediatric Research Network Obesity Study Group (2009) · Obesity · doi:10.1038/oby.2009.261 · Cited by 15
Impact of visceral obesity on cardiac parasympathetic activity in type 2 diabetics after coronary artery bypass graft surgery
Salamin, G., Pelletier, C., Poirier, P., Després, J., Bertrand, O. F., Alméras, N., Costerousse, O., & Brassard, P. (2013) · Obesity · doi:10.1002/oby.20089 · Cited by 15
Cardiologists and abdominal obesity: lost in translation?
Poirier, P. (2009) · Heart · doi:10.1136/hrt.2009.171785 · Cited by 15
The contribution of six polymorphisms to cardiovascular risk in a Dutch high-risk primary care population: the HIPPOCRATES project
Plat, A. W., Stoffers, J., Klungel, O. H., van Schayck, O. C. P., de Leeuw, P. W., Soomers, F. L., Schiffers, P. M. H., Kester, A. D. M., & Kroon, A. A. (2009) · Journal of Human Hypertension · doi:10.1038/jhh.2009.6 · Cited by 15
Machine learning prediction of metabolic dysfunction-associated fatty liver disease risk in American adults using body composition: explainable analysis based on SHapley Additive exPlanations
Hong, Y., Chen, X., Wang, L., Zhang, F., Zeng, Z., & Xie, W. (2025) · Frontiers in Nutrition · doi:10.3389/fnut.2025.1616229 · Cited by 14
The associations of leptin and adiponectin with the metabolic syndrome in an Indonesian and a Dutch population
Sigit, F. S., Trompet, S., Tahapary, D. L., Sartono, E., van Dijk, K. W., Yazdanbakhsh, M., Supali, T., Smit, J. W. A., Rosendaal, F. R., & de Mutsert, R. (2021) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2021.05.012 · Cited by 14
The role of adiposity, diet and inflammation on the discordance between LDL-C and apolipoprotein B
Webb, R. J., Mazidi, M., Lip, G. Y. H., Kengne, A. P., Banach, M., & Davies, I. G. (2021) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2021.12.004 · Cited by 14
Comparison of CT and Dixon MR Abdominal Adipose Tissue Quantification Using a Unified Computer-Assisted Software Framework
Hsu, L., Ali, Z., Bagheri, H., Huda, F., Redd, B. A., & Jones, E. C. (2023) · Tomography · doi:10.3390/tomography9030085 · Cited by 14
Impact of visceral obesity on infectious complications after resection for colorectal cancer: a retrospective cohort study
Zhai, W., Yang, Y., Zhang, K., Sun, L., Luo, M., Han⊗, X., Wang, M., Wang, Z., & Gao, F. (2023) · Lipids in Health and Disease · doi:10.1186/s12944-023-01890-4 · Cited by 14
Women and Heart Disease
Lee, L. V., & Foody, J. M. (2010) · Cardiology Clinics · doi:10.1016/j.ccl.2010.11.002 · Cited by 14
Body mass index and waist-to-height ratio among schoolchildren with visual impairment
Wrzesińska, M. A., Urzędowicz, B., Motylewski, S., Zeman, K., & Pawlicki, L. (2016) · Medicine · doi:10.1097/md.0000000000004397 · Cited by 14
Comparison of malnutrition inflammation score, anthropometry and biochemical parameters in assessing the difference in protein‐energy wasting between normal weight and obese patients undergoing haemodialysis
Alipoor, E., Hosseinzadeh‐Attar, M. J., Mahdavi‐Mazdeh, M., Yaseri, M., & Zahed, N. S. (2017) · Nutrition & Dietetics · doi:10.1111/1747-0080.12343 · Cited by 14
A prospective study of the hypertriglyceridemic waist phenotype and risk of incident ischemic stroke in a Chinese rural population
Wang, W., Shen, C., Zhao, H., Tang, W., Yang, S., Li, J., Ren, Z., & Zhao, Y. (2018) · Acta Neurologica Scandinavica · doi:10.1111/ane.12925 · Cited by 13
Comparative Proteome Analysis of Epicardial and Subcutaneous Adipose Tissues from Patients with or without Coronary Artery Disease
Zhao, Y. X., Zhu, H., Pan, H., Liu, X. M., Wang, L. J., Yang, H. B., Li, N., Gong, F., Sun, W., & Zeng, Y. (2019) · International Journal of Endocrinology · doi:10.1155/2019/6976712 · Cited by 14
The Pivotal Role of Mitsugumin 53 in Cardiovascular Diseases
Jiang, W., Liu, M., Gu, C., & Ma, H. (2020) · Cardiovascular Toxicology · doi:10.1007/s12012-020-09609-y · Cited by 14
Interaction between visceral adiposity and ambient air pollution on LDL cholesterol level in Korean adults
Kim, H., Kwon, H., Yun, J. M., Cho, B., & Park, J. (2020) · International Journal of Obesity · doi:10.1038/s41366-020-00714-0 · Cited by 14
Citrus peel derived poly-methoxylated flavones (PMF)
Vajdi, M., & Farhangi, M. A. (2021) · International Journal for Vitamin and Nutrition Research · doi:10.1024/0300-9831/a000710 · Cited by 14
Longitudinal trajectories of metabolic syndrome on different neurocognitive domains: a cohort study from the Taiwan biobank
Wu, S., & Chen, W. (2021) · Aging · doi:10.18632/aging.203099 · Cited by 14
The waist-to-body mass index ratio as an anthropometric predictor for cardiovascular outcome in subjects with established atherosclerotic cardiovascular disease
Hsuan, C., Lin, F., Lee, T., Yang, K., Tseng, W., Wu, Y., Yin, W., Yeh, H., Chen, J., Wu, C., et al. (2022) · Scientific Reports · doi:10.1038/s41598-021-04650-5 · Cited by 16
The association of hypertriglyceridemic waist phenotype with hypertension: A cross‐sectional study in a Chinese middle aged‐old population
Xuan, Y., Shen, Y., Wang, S., Gao, P., Gu, X., Tang, D., Wang, X., Zhu, F., Lu, L., & Chen, L. (2022) · Journal of Clinical Hypertension · doi:10.1111/jch.14424 · Cited by 13
A Comparison of the Metabolic Response to Abdominal Obesity in Two Canadian Inuit and First Nations Population
Château‐Degat, M., Dannenbaum, D. A., Egeland, G. M., Nieboer, E., Laouan-Sidi, E. A., Abdous, B., & Dewailly, É. (2011) · Obesity · doi:10.1038/oby.2011.77 · Cited by 14
Worksite Health and Wellness Programs: Canadian Achievements & Prospects
Després, J., Alméras, N., & Gauvin, L. I. (2013) · Progress in Cardiovascular Diseases · doi:10.1016/j.pcad.2013.11.002 · Cited by 14
Impact of Obesity and Bariatric Surgery on Metabolism and Coronary Circulatory Function
Valenta, I., Dilsizian, V., Quercioli, A., Juengling, F. D., Ambrosio, G., Wahl, R. L., & Schindler, T. H. (2013) · Current Cardiology Reports · doi:10.1007/s11886-013-0433-8 · Cited by 14
Moderate Weight Loss Decreases Oxidative Stress and Increases Antioxidant Status in Patients with Metabolic Syndrome
Ben, M. D., Angelico, F., Cangemi, R., Loffredo, L., Carnevale, R., Augelletti, T., Baratta, F., Polimeni, L., Pignatelli, P., & Violi, F. (2012) · ISRN Obesity · doi:10.5402/2012/960427 · Cited by 14

Authors: Després, J.-P., Lemieux, I., Bergeron, J., Pibarot, P., Mathieu, P., Larose, E., Rodés-Cabau, J., Bertrand, O. F., & Poirier, P.
Affiliations: From the Hôpital Laval Research Centre (J.-P.D., I.L., P. Pibarot, P.M., E.L., J.R.-C., O.F.B., P. Poirier); the Institut universitaire de cardiologie et de pneumologie (J.-P.D., P.M., E.L., J.R.-C., O.F.B., P. Poirier), Hôpital Laval; the Division of Kinesiology (J.-P.D.), Department of Social and Preventive Medicine, Université Laval; the Lipid Research Centre (J.B.), CHUQ Research Centre; the Department of Medicine (P. Pibarot), Université Laval; the Department of Surgery (P.M.), Université...
Université Laval (CA)
ORCID: Lemieux, Isabelle
Bergeron, Jean
Mathieu, Patrick
Bertrand, Olivier F.
Poirier, Paul
Venue: Arteriosclerosis Thrombosis and Vascular Biology
Publisher: Ovid Technologies (Wolters Kluwer Health)
Published: 2008-06
Volume: 28
Issue: 6
Pages: 1039-1049
ISSN: 1079-5642 (ISSN-L)
1524-4636
DOI: 10.1161/atvbaha.107.159228
OpenAlex: W2106690226
Cited by: 1,589
References: 129
Citations by year: 2026: 39 · 2025: 52 · 2024: 63 · 2023: 71 · 2022: 120 · 2021: 92 · 2020: 86 · 2019: 74 · 2018: 91 · 2017: 86 · 2016: 91 · 2015: 108 · 2014: 115 · 2013: 101 · 2012: 97
FWCI: 12.68
Type: journal article
Language: en
Update notices: correction (2008-07-01)
Open access: closed
Locations: Arteriosclerosis Thrombosis and Vascular Biology (publishedVersion)
PubMed (publishedVersion)
Corpus Université Laval (Université Laval) (submittedVersion)
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 Disease and Adiposity
Keywords: abdominal obesity, metabolic syndrome, visceral adipose tissue, insulin resistance, cardiometabolic risk, waist circumference, fasting triglycerides, ectopic fat deposition, cardiovascular risk, diagnostic thresholds
MeSH terms: Cardiovascular Diseases, Humans, Insulin Resistance, Obesity, Risk Factors, Triglycerides, Metabolic Syndrome, Intra-Abdominal Fat

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Abdominal Obesity and the Metabolic Syndrome: Contribution to Global Cardiometabolic Risk

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