The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
NCEP-Defined Metabolic Syndrome, Diabetes, and Prevalence of Coronary Heart Disease Among NHANES III Participants Age 50 Years and Older
Abstract
Although the individual components of the metabolic syndrome are clearly associated with increased risk for coronary heart disease (CHD), we wanted to quantify the increased prevalence of CHD among people with metabolic syndrome. The Third National Health and Nutrition Examination Survey (NHANES III) was used to categorize adults over 50 years of age by presence of metabolic syndrome (National Cholesterol Education Program [NCEP] definition) with or without diabetes. Demographic and risk factor information was determined for each group, as well as the proportion of each group meeting specific criteria for metabolic syndrome. The prevalence of CHD for each group was then determined. Metabolic syndrome is very common, with ∼44% of the U.S. population over 50 years of age meeting the NCEP criteria. In contrast, diabetes without metabolic syndrome is uncommon (13% of those with diabetes). Older Americans over 50 years of age without metabolic syndrome regardless of diabetes status had the lowest CHD prevalence (8.7% without diabetes, 7.5% with diabetes). Compared with those with metabolic syndrome, people with diabetes without metabolic syndrome did not have an increase in CHD prevalence. Those with metabolic syndrome without diabetes had higher CHD prevalence (13.9%), and those with both metabolic syndrome and diabetes had the highest prevalence of CHD (19.2%) compared with those with neither. Metabolic syndrome was a significant univariate predictor of prevalent CHD (OR 2.07, 95% CI 1.66–2.59). However, blood pressure, HDL cholesterol, and diabetes, but not presence of metabolic syndrome, were significant multivariate predictors of prevalent CHD. The prevalence of CHD markedly increased with the presence of metabolic syndrome. Among people with diabetes, the prevalence of metabolic syndrome was very high, and those with diabetes and metabolic syndrome had the highest prevalence of CHD. Among all individuals with diabetes, prevalence of CHD was increased compared with those with metabolic syndrome without diabetes. However, individuals with diabetes without metabolic syndrome had no greater prevalence of CHD compared with those with neither.
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“In individuals with diabetes, the coexistence of other metabolic syndrome factors denotes a higher risk for future development of ASCVD.69”
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 [69]
In the citing paper
“the combination of MS and hypertension has been reported to result in an even higher morbidity and mortality.11”
From Sympathetic Neural Activation in Nondiabetic Metabolic Syndrome and Its Further Augmentation by Hypertension (2004) · cites this paper as [11]
In the citing paper
“It is already known that MS or EHT patients have a high cardiovascular risk”
From Sympathetic Neural Activation in Nondiabetic Metabolic Syndrome and Its Further Augmentation by Hypertension (2004) · cites this paper as [11]
In the citing paper
“ASCVD risk is higher with MetS in the absence of T2D compared with T2D without MetS (13.9% vs. 7.5%, respectively) (13).”
From The CardioMetabolic Health Alliance (2015) · cites this paper as [13]
Citations
Cites
Friedewald, W. T., Levy, R. I., & Fredrickson, D. S. (1972) · Clinical Chemistry · doi:10.1093/clinchem/18.6.499 · Cited by 32,423
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
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
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
Ford, E. S., Giles, W. H., & Dietz, W. H. (2002) · JAMA · doi:10.1001/jama.287.3.356 · Cited by 6,698
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
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
Stamler, J., Vaccaro, O., Neaton, J. D., Wentworth, D., & The Multiple Risk Factor Intervention Trial Research Group (1993) · Diabetes Care · doi:10.2337/diacare.16.2.434 · Cited by 4,063
Cardiovascular Survey Methods.
Rose, G., & Blackburn, H. (1968) · Annals of Internal Medicine · doi:10.7326/0003-4819-69-6-1335_2 · Cited by 3,090
Cited by
Sorted by citations
Items 501–600 of 998
Increased ApoB in Small Dense LDL Particles Predicts Premature Coronary Artery Disease
Brunzell, J. D. (2005) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/01.atv.0000156537.78366.1d · Cited by 32
Herath, H. M. M., Weerasinghe, N. P., Weerarathna, T. P., & Amarathunga, A. (2018) · International Journal of Chronic Diseases · doi:10.1155/2018/7813537 · Cited by 32
Fit for Life Steps: Results of a Community Walking Intervention in the Rural Mississippi Delta
Zoellner, J., Connell, C. L., Santell, R., Fungwe, T. V., Strickland, E., Avis-Williams, A., Yadrick, K., Lofton, K. L., Rowser, M., Powers, A. D., et al. (2007) · Progress in community health partnerships · doi:10.1353/cpr.0.0009 · Cited by 32
Prevalence of metabolic syndrome in an elderly Swedish population
Gause‐Nilsson, I. A. M., Gherman, S., Dey, D. K., Kennerfalk, A., & Steen, B. (2006) · Acta Diabetologica · doi:10.1007/s00592-006-0226-2 · Cited by 32
“Further analysis of the NHANES III data showed that in participants aged >50 years, the prevalence of high blood pressure was 62.5% [ 16 ].”
InfluentialClinical Use of the Metabolic Syndrome: Why the Confusion?
Blaha, M. J., & Elasy, T. A. (2006) · Clinical Diabetes · doi:10.2337/diaclin.24.3.125 · Cited by 32
Ooi, E. M. M., Ng, T. W. K., Chan, D. C., & Watts, G. F. (2009) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2009.06.003 · Cited by 35
Early cardiovascular changes occurring in diet-induced, obese insulin-resistant rats
Huisamen, B., Dietrich, D., Bezuidenhout, N., Lopes, J., Flepisi, B. T., Blackhurst, D., & Lochner, A. (2012) · Molecular and Cellular Biochemistry · doi:10.1007/s11010-012-1340-9 · Cited by 32
Varvel, S. A., Pottala, J. V., Thiselton, D. L., Caffrey, R., Dall, T., Sasinowski, M., McConnell, J. P., Warnick, G. R., Vörös, S., & Graham, T. E. (2014) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2014-000038 · Cited by 32
Dyslipidemia and the Metabolic Syndrome
Bloomgarden, Z. T. (2004) · Diabetes Care · doi:10.2337/diacare.27.12.3009 · Cited by 32
“Thus, the metabolic syndrome is in certain ways as strong a risk factor for CVD as diabetes, further pointing out the importance of abdominal obesity (39), with the combination of fasting hyperinsulinemia, increased apoB, and SD-LDL associated with a 20-fold increase in CVD risk (40).”
BackgroundNew approaches in the intensive management of cardiovascular risk in the metabolic syndrome
Rosenson, R. S. (2005) · Current Problems in Cardiology · doi:10.1016/j.cpcardiol.2004.10.001 · Cited by 31
Sumner, A. D., Khalil, Y. K., & REED, J. F. (2012) · Journal of Clinical Hypertension · doi:10.1111/j.1751-7176.2011.00580.x · Cited by 31
Sheng-kai, Y., Cheng, X., Yao-hong, S., Xiao, X., Bi, N., & Chen, B. (2005) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm.2005.105 · Cited by 31
Willems, S. M., Mihăescu, R., Sijbrands, E. J. G., van Duijn, C. M., & Janssens, A. C. J. W. (2011) · Current Diabetes Reports · doi:10.1007/s11892-011-0235-6 · Cited by 31
“5 [10] 4.”
BackgroundLee, E. Y., Hwang, S., Lee, S. H., Lee, Y., Choi, A. R., Lee, Y., Lee, B., Kang, E. S., Ahn, C. W., Soo, B., et al. (2014) · Journal of Diabetes Investigation · doi:10.1111/jdi.12187 · Cited by 32
Relative fat mass (RFM) as abdominal obesity criterion for metabolic syndrome
Kobo, O. M., Leiba, R., Avizohar, O., & Karban, A. (2019) · European Journal of Internal Medicine · doi:10.1016/j.ejim.2019.03.002 · Cited by 32
Milano, A., Bianco, M. A., Buri, L., Cipolletta, L., Grossi, E., Rotondano, G., Tessari, F., Efthymakis, K., & Neri, M. (2019) · Therapeutic Advances in Gastroenterology · doi:10.1177/1756284819867839 · Cited by 31
Metabolic Syndrome in Children and Adolescents
Goran, M. I., & Sothern, M. S. (2016) · CRC Press eBooks · doi:10.1201/9781420026634-16 · Cited by 31
Gotto, A. M. (2006) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2006.11.001 · Cited by 31
Urinary PGDS levels are associated with vascular injury in type 2 diabetes patients
Yoshikawa, R., Wada, J., Seiki, K., Matsuoka, T., Miyamoto, S., Takahashi, K., Ota, S., Taniai, K., Hida, K., Yamakado, M., et al. (2006) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2006.09.004 · Cited by 31
Metabolic Risk Factors and Posttraumatic Stress Disorder
Talbot, L. S., Rao, M. N., Cohen, B. E., Richards, A. L., Inslicht, S. S., O’Donovan, A., Maguen, S., Metzler, T. J., & Neylan, T. C. (2015) · Psychosomatic Medicine · doi:10.1097/psy.0000000000000176 · Cited by 31
Lee, I., Lee, W., Tsai, I., Liang, K., Lin, S., Wan, C., Fu, C., & Sheu, W. H. (2012) · Clinica Chimica Acta · doi:10.1016/j.cca.2012.02.013 · Cited by 31
Hermans, M., Brotons, C., Elisaf, M., Michel, G., Muls, E., & Nobels, F. (2013) · European Journal of Preventive Cardiology · doi:10.1177/2047487312449414 · Cited by 30
Impact of Obesity on Coronary Microvascular Function in the Zucker Rat
Prakash, R., MINTZ, J. D., & Stepp, D. W. (2006) · Microcirculation · doi:10.1080/10739680600745919 · Cited by 31
“Data from the NHANES trial suggest that obesity and the attendant metabolic syndrome are significant risk factors for coronary artery disease, even more so than diabetes mellitus alone (1).”
BackgroundThanopoulou, A. C., Karamanos, B. G., Angelico, F., Assaad-Khalil, S. H., Djordjević, P., Katsilambros, N. L., Migdalis, I. N., Mrabet, M. M., Petkova, M. K., Roussi, D. P., et al. (2006) · European Journal of Clinical Nutrition · doi:10.1038/sj.ejcn.1602467 · Cited by 31
“…cardiovascular disease (CVD) risk that is not entirely accounted for by traditional risk scoring paradigms, thus this question remains still open (Golden et al., 2002; Klein et al., 2002; Alexander et al., 2003; Girman et al., 2004; Olijhoek et al., 2004; Stern et al., 2004; McNeill et al., 2005).”
BackgroundPrevalence of metabolic syndrome among Qassim University personnel in Saudi Arabia.
Barrimah, I. E., Mohaimeed, A. R. A., Midhat, F., & Al-Shobili, H. A. (2009) · Europe PMC (PubMed Central) · Cited by 30
Lavie, C. J., Milani, R. V., & O’Keefe, J. H. (2011) · The American Journal of the Medical Sciences · doi:10.1097/maj.0b013e31821483fa · Cited by 30
Pathophysiology of the proatherothrombotic state in the metabolic syndrome
Navarro, H. G. (2009) · Frontiers in Bioscience-Scholar · doi:10.2741/s57 · Cited by 32
“The condition is progressive, beginning with borderline risk factors that eventually progress to categorical risk factors (3-5).”
BackgroundPathways of Health and Human Capital from Adolescence into Young Adulthood
Kane, J. B., Harris, K. M., Morgan, S. P., & Guilkey, D. K. (2017) · Social Forces · doi:10.1093/sf/sox079 · Cited by 30
“Metabolic syndrome is relatively rare early in life, becoming increasingly common with age (prevalence is 3 percent in children [Friend, Craig, and Turner 2013], 23 percent in adults age 19+ [Beltrán-Sánchez et al. 2013], and 44 percent in adults age 50+ [Alexander et al. 2003]).”
Dysregulated Metabolic Pathways in Subjects with Obesity and Metabolic Syndrome
Mir, F., Ullah, E., Mall, R., Iskandarani, A., Samra, T., Cyprian, F., Parray, A., Alkasem, M., Abdalhakam, I., Farooq, F., et al. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23179821 · Cited by 28
Zhang, Y., Bao, M., Dai, M., Wang, X., He, W., Tan, T., Lin, D., Wang, W., Wen, Y. R., & Zhang, R. (2015) · Cardiovascular Diabetology · doi:10.1186/s12933-015-0234-z · Cited by 33
Lastra, G., & Manrique, C. M. (2007) · Antioxidants and Redox Signaling · doi:10.1089/ars.2007.1615 · Cited by 30
Haddad, P. S., Musallam, L., Martineau, L. C., Harris, C. S., Lavoie, L., Arnason, J. T., Foster, B., Bennett, S. A. L., Johns, T., Cuerrier, A., et al. (2011) · Evidence-based Complementary and Alternative Medicine · doi:10.1155/2012/893426 · Cited by 34
“There exist several definitions put forth by various national and international agencies but all include a combination of the following factors [7, 21–24]: abdominal obesity, dyslipidemia (notably including increased triglyceridemia, low HDL-cholesterol, and high LDL-cholesterol), IGT, hyperinsulinemia, and hypertensi…”
BackgroundSugita, M., Sugita, H., & Kaneki, M. (2004) · Hypertension · doi:10.1161/01.hyp.0000140778.53811.20 · Cited by 30
Baş, A. L., Demirci, S., Yazıhan, N., Üney, K., & Kaya, E. E. (2012) · International Journal of Endocrinology · doi:10.1155/2012/947187 · Cited by 31
“The increased risk of coronary heart disease in patients with the metabolic syndrome suggests that the insulin-resistant state is atherogenic without concomitant elevations in plasma glucose and glycosylated hemoglobin [26, 27].”
BackgroundHadaegh, F., Shafiee, G., Ghasemi, A., Sarbakhsh, P., & Azizi, F. (2009) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2009.11.010 · Cited by 30
Vergès, B. L., Adiels, M., Borén, J., Barrett, P. H. R., Watts, G. F., Chan, D. C., Duvillard, L., Söderlund, S., Matikainen, N., Kahri, J., et al. (2014) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2014-2365 · Cited by 32
Aramaki, Y., Mitsuoka, H., Toyohara, M., Jinnai, T., Kanatani, K., Nakajima, K., Mukai, E., Yamada, Y., Kita, T., Inagaki, N., et al. (2008) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2007.12.017 · Cited by 30
Impact of Sex, Metabolic Syndrome, and Diabetes Mellitus on Cardiovascular Events
Mak, K., Ma, S., Heng, D., Tan, C.-E., Tai, E. S., Topol, E. J., & Chew, S. (2007) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2007.02.090 · Cited by 30
Kompoti, M., Mariolis, A. D., Alevizos, A., Kyriazis, I., Protopsaltis, I. D., Dimou, E., Lentzas, I., Levisianou, D., Gova, A., & Melidonis, A. I. (2006) · Cardiovascular Diabetology · doi:10.1186/1475-2840-5-21 · Cited by 30
“Prevalence of MS in patients with type 2 diabetes is considerably high (70–92%), as reported by several studies using either NCEP ATP III or World Health Organization (WHO) criteria [ 6 ,11-15].”
BackgroundMethodInfluentialKASAI, T., MIYAUCHI, K., KURATA, T., OKAZAKI, S., KAJIMOTO, K., KUBOTA, N., & DAIDA, H. (2008) · Hypertension Research · doi:10.1291/hypres.31.235 · Cited by 28
Huang, J., Li, R.-H., Huang, S.-L., Sia, H., Lee, S.-S., Wang, W., & Tang, F. (2017) · Scientific Reports · doi:10.1038/s41598-017-13872-5 · Cited by 31
“MetS was defined as the presence of three or more of the following risk determinants: (1) increased waist circumference (Health Promotion Administration, Taiwan, has categorized WC ≧ 90 cm for men or ≧ 80 cm for women as abdominal adiposity); (2) high BP [systolic BP (SBP) ≧130/diastolic BP (DBP) ≧ 85 mmHg]; (3) impai…”
BackgroundSarcopenic obesity predicts nonremission of late‐life depression
Kokkeler, K. J. E., van den Berg, K. S., Comijs, H. C., Voshaar, R. C. O., & Marijnissen, R. M. (2019) · International Journal of Geriatric Psychiatry · doi:10.1002/gps.5121 · Cited by 30
Temporal Dietary Patterns Are Associated with Obesity in US Adults
Aqeel, M. M., Guo, J., Lin, L., Gelfand, S. B., Delp, E. J., Bhadra, A., Richards, E. A., Hennessy, E., & Eicher‐Miller, H. A. (2020) · Journal of Nutrition · doi:10.1093/jn/nxaa287 · Cited by 32
“ing glucose (>110 mg/dL) or taking glucose-lowering medications (64).”
BackgroundZhao, J., Li, F., Wu, Q., Cheng, Y., Liang, G., Wang, X., Fang, S., Wang, Q., Fan, X., & Fang, J. (2022) · Chemosphere · doi:10.1016/j.chemosphere.2022.135743 · Cited by 29
Olafsdottir, E., Aspelund, T., Sigurdsson, G. T., Þórsson, B., Benediktsson, R., Harris, T. B., Launer, L. J., Eiríksdóttir, G., & Gudnason, V. G. (2009) · European Journal of Epidemiology · doi:10.1007/s10654-009-9343-x · Cited by 29
“The metabolic syndrome has also been used to predict both T2DM [7] and CVD [8] as in the cross-sectional data from the NHANES III where the prevalence of metabolic syndrome (NCEP criteria) was very high among people, 50 years and older, with diabetes and those with diabetes and metabolic syndrome had the highest preva…”
MethodHa, B. K., Kim, B. G., Kim, D. H., Lee, S. I., Jung, S. M., Park, J. Y., Lee, C. W., Kim, S. S., Kim, B. H., & Kim, I. J. (2012) · Diabetes & Metabolism Journal · doi:10.4093/dmj.2012.36.6.443 · Cited by 30
Zhu, W., & Heil, D. P. (2018) · Diabetes & Metabolic Syndrome Clinical Research & Reviews · doi:10.1016/j.dsx.2018.04.010 · Cited by 31
Hsu, P., Chuang, S., Cheng, H., Tsai, S., Chou, P., & Chen, C. (2007) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2007.09.021 · Cited by 29
Nonalcoholic fatty liver disease and metabolic syndrome in hypopituitary patients
Nyenwe, E. A., Williamson-Baddorf, S., Waters, B., Wan, J. Y., & Solomon, S. S. (2009) · The American Journal of the Medical Sciences · doi:10.1097/maj.0b013e3181a84bde · Cited by 28
Bonfanti, N., Fernández, J. M., Gómez-Delgado, F., & Pérez‐Jiménez, F. (2014) · PubMed · doi:10.3305/nh.2014.29.3.7119 · Cited by 28
Marco, M. D., SIMONE, G. D., Izzo, R., Mancusi, C., Sforza, A., Giudice, R., Trimarco, B., & LUCA, N. D. (2011) · Journal of Hypertension · doi:10.1097/hjh.0b013e32834e1eda · Cited by 28
Jacobs, M., van Greevenbroek, M. M. J., Kallen, C., Ferreira, I., Blaak, E. E., Feskens, E. J. M., Jansen, E. H. J. M., Schalkwijk, C. G., & Stehouwer, C. D. A. (2010) · European Journal of Clinical Investigation · doi:10.1111/j.1365-2362.2010.02392.x · Cited by 28
Dedeepiya, V. D., Sivaraman, G., Venkatesh, A., Preethy, S., & Abraham, S. J. (2012) · Case Reports in Medicine · doi:10.1155/2012/895370 · Cited by 25
Martin, C. L., Kane, J. B., Miles, G., Aiello, A. E., & Harris, K. M. (2019) · Health & Place · doi:10.1016/j.healthplace.2019.03.002 · Cited by 33
“The prevalence of metabolic syndrome is relatively low during early life (3% among children), but becomes increasingly prevalent in adulthood, with 23–44% of adults ≥19 years of age impacted (Alexander et al., 2003; Beltrán-Sánchez et al., 2013; Friend et al., 2013).”
BackgroundPamplin, J. R., Susser, E., Factor-Litvak, P. R., Link, B. G., & Keyes, K. M. (2019) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-019-01777-9 · Cited by 28
Bae, J. C., Cho, N. H., Suh, S., Kim, J. H., Hur, K. Y., Jin, S., & Lee, M. (2014) · Journal of Diabetes · doi:10.1111/1753-0407.12248 · Cited by 28
Plasma and blood viscosity in metabolic syndrome
Irace, C., Scavelli, F. B., Carallo, C., Serra, R., & Gnasso, A. (2009) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2008.11.005 · Cited by 28
Metabolic Syndrome and Prediabetes
Babu, A. R., & Fogelfeld, L. A. (2006) · Disease-a-Month · doi:10.1016/j.disamonth.2006.03.001 · Cited by 27
The Metabolic Syndrome and Cardiovascular Disease: Part I
Jiamsripong, P., Mookadam, M., Honda, T., Khandheria, B. K., & Mookadam, F. (2008) · Preventive Cardiology · doi:10.1111/j.1751-7141.2008.07809.x · Cited by 28
Žaliūnas, R., Šlapikas, R., Babarskienė, R. M., Šlapikienė, B., Lukšienė, D., Milvidaitė, I., & Laukaitienė, J. (2008) · Medicina · doi:10.3390/medicina44070067 · Cited by 28
Banerjee, D., & Misra, A. (2007) · International Journal of Obesity · doi:10.1038/sj.ijo.0803619 · Cited by 28
Increased Prevalence of Masked Blood Pressure Elevations in Treated Diabetic Subjects
Ben‐Dov, I. Z., Ben‐Ishay, D., Mekler, J., Ben-Arie, L., & Bursztyn, M. (2007) · Archives of Internal Medicine · doi:10.1001/archinte.167.19.2139 · Cited by 27
Arcari, A., Zito, F., Castelnuovo, A. F. D., Curtis, A. D., Dirckx, C., Arnout, J., Cappuccio, F. P., DONGEN, M. C. J. M. V., de Lorgeril, M., Krogh, V., et al. (2008) · Journal of Thrombosis and Haemostasis · doi:10.1111/j.1538-7836.2007.02851.x · Cited by 28
Montalcini, T., Gorgone, G., Federico, D., Ceravolo, R., Emanuele, V., Sesti, G., Perticone, F., & Pujia, A. (2005) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2004.10.003 · Cited by 28
Zimmet, P., & Alberti, K. G. M. M. (2005) · Cited by 28
Sofi, F., Innocenti, G., Dini, C., Masi, L., Battistini, N., Brandi, M. L., Rotella, C. M., Gensini, G. F., Abbate, R., Surrenti, C., et al. (2006) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2005.09.002 · Cited by 27
Evidence for a Combined Approach to the Management of Hypertension and Dyslipidemia
ANSELL, B. (2005) · American Journal of Hypertension · doi:10.1016/j.amjhyper.2005.03.740 · Cited by 28
Maggi, S., Noale, M., Zambon, A., Limongi, F., Romanato, G., & Crepaldi, G. (2007) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2007.08.002 · Cited by 28
Clearfield, M. B., Downs, J. R., Lee, M., Langendörfer, A., McConathy, W. J., & Gotto, A. M. (2005) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2005.07.079 · Cited by 28
Wu, M., Wu, S. V., Wang, T., Kao, M., & Yang, W. (2012) · Nursing and Health Sciences · doi:10.1111/j.1442-2018.2011.00675.x · Cited by 26
“Research has shown that individuals with MetS have an increased risk of cardiovascular disease (Alexander et al., 2003; Echahidi et al., 2007; McCauley, 2007), higher death rates due to coronary heart disease (Lakka et al.”
BackgroundDePaula, A. L., Stival, A. R., DePaula, C. C. L., Halpern, A., & Vencio, S. A. C. (2010) · Journal of Gastrointestinal Surgery · doi:10.1007/s11605-010-1252-5 · Cited by 27
Does Sustained Weight Loss Reverse the Metabolic Syndrome?
Ferland, A., & Eckel, R. H. (2011) · Current Hypertension Reports · doi:10.1007/s11906-011-0221-z · Cited by 27
“This result is important because individuals with type 2 diabetes showing other features of the MetS are at particularly high risk for cardiovascular disease (CVD) [ 48 ].”
BackgroundContreras, C., Sánchez, A., García‐Sacristán, A., Martínez, M. C., Andriantsitohaina, R., & Prieto, D. (2011) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2011.03.036 · Cited by 27
“besity and metabolic syndrome greatly enhance the prevalence of oronary heart disease and heart failure, even more than diabetes ellitus [2].”
BackgroundEffects of lipid-altering treatment in diabetes mellitus and the metabolic syndrome
DEEDWANIA, P. C., Hunninghake, D. B., & Bays, H. E. (2004) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2004.02.002 · Cited by 27
Cassells, H. B., & Haffner, S. M. (2006) · The Journal of Cardiovascular Nursing · doi:10.1097/00005082-200607000-00012 · Cited by 28
Self-citationYau, P. L., Kim, M., Tirsi, A., & Convit, A. J. (2014) · Archives of Pediatrics and Adolescent Medicine · doi:10.1001/jamapediatrics.2014.2815 · Cited by 26
Schultz, A. B., & Edington, D. W. (2009) · Value in Health · doi:10.1111/j.1524-4733.2009.00651.x · Cited by 27
Resistant Hypertension in the High-Risk Metabolic Patient
Chaudhary, K. R., Buddineni, J. P., Nistala, R., & Whaley‐Connell, A. T. (2010) · Current Diabetes Reports · doi:10.1007/s11892-010-0155-x · Cited by 26
Dyslipidemia in Adults With Diabetes
(2006) · Canadian Journal of Diabetes · doi:10.1016/s1499-2671(06)03007-3 · Cited by 26
Hyperhomocysteinemia, lipid and lipoprotein disturbances in patients with primary hypertension
Baszczuk, A., Musialik, K., Kopczyński, J., Thielemann, A., Kopczyński, Z., Kesy, L., & Dopierała, G. (2014) · Advances in Medical Sciences · doi:10.1016/j.advms.2013.08.001 · Cited by 26
Metabolic syndrome and risk of acute coronary syndromes in patients younger than 45 years of age
Milionis, H. J., Kalantzi, K. J., Papathanassiou, A., Kosovitsas, A., Doumas, M. T., & Goudevenos, J. A. (2007) · Coronary Artery Disease · doi:10.1097/mca.0b013e328035f8c4 · Cited by 25
Kasai, T., Miyauchi, K., Kubota, N., Tamura, H., Kojima, T., Yokoyama, K., Kurata, T., & Daida, H. (2007) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2007.08.023 · Cited by 26
Grundy, S. M. (2008) · European Heart Journal Supplements · doi:10.1093/eurheartj/sum044 · Cited by 26
Mohsin, A., Zafar, J., Nisar, Y. B., Imran, S. M., Zaheer, K., Khizar, B., & Qazi, R. A. (2007) · PubMed · Cited by 26
NEUROPATHIC PROBLEMS OF THE LOWER LIMBS IN DIABETIC PATIENTS
Tanenberg, R. J., & Donofrio, P. D. (2008) · Elsevier eBooks · doi:10.1016/b978-0-323-04145-4.50010-7 · Cited by 27
Cardiovascular Disease in Diabetes
Bloomgarden, Z. T. (2008) · Diabetes Care · doi:10.2337/dc08-zb06 · Cited by 28
“The prevalence of CAD is increased in individuals with metabolic syndrome without diabetes but not in those having diabetes without metabolic syndrome (21), and others have shown that the metNEWS FROM THE FOOD AND DRUG ADMINISTRATION”
BackgroundEndothelial progenitor cells: biology and therapeutic potential in hypertension
van Zonneveld, A. J., & Rabelink, T. J. (2006) · Current Opinion in Nephrology & Hypertension · doi:10.1097/01.mnh.0000214774.42103.ec · Cited by 26
Waist circumference and Neutrophil Gelatinase-Associated Lipocalin in late-life depression
Marijnissen, R. M., Naudé, P. J. W., Comijs, H. C., Schoevers, R. A., & Oude Voshaar, R. C. (2014) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2013.12.021 · Cited by 22
“According to the National Cholesterol Education Program (NCEP)-Adult Treatment Panel III, a waist Waist circumference and NGAL in late-life depression circumference above 88 cm and 102 cm is considered pathologically increased in females and males, respectively (Alexander et al, 2003).”
MethodVisceral abdominal adipose tissue and coronary atherosclerosis in asymptomatic diabetics
Khashper, A., Gaspar, T., Azencot, M., Dobrecky‐Mery, I., Peled, N., Lewis, B. S., & Halon, D. A. (2011) · International Journal of Cardiology · doi:10.1016/j.ijcard.2011.05.059 · Cited by 25
“In DM presence of the features of the metabolic syndrome adds additional risk for CAD related events [22] but some have questioned if this diagnosis is applicable in established diabetics [23].”
BackgroundNocturnal blood pressure fall and metabolic syndrome score in hypertensive patients
Vyssoulis, G. P., Karpanou, E. A., Kyvelou, S.-M., Adamopoulos, D. N., Deligeorgis, A. D., Spanos, P. G., Pietri, P. G., Cokkinos, D., & Stefanadis, C. (2007) · Blood Pressure Monitoring · doi:10.1097/mbp.0b013e3282cb5ad3 · Cited by 25
Prevalence of the Metabolic Syndrome in the Mestizo Population of Peru
Seclen, S. N., Villena, A., Larrad, M. T. M., Gonzáles, D. G., Herrera, B., Fernández, C., Sánchez, J. L. G., & Serrano‐Ríos, M. (2006) · Metabolic Syndrome and Related Disorders · doi:10.1089/met.2006.4.1 · Cited by 24
Motta, M., Bennati, E., Cardillo, E., Passamonte, M., Ferlito, L., & Malaguarnera, M. (2008) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2008.03.005 · Cited by 25
Markolf Hanefeld, E., Karasik, A., Koehler, C., Westermeier, T., & Chiasson, J. (2009) · Diabetes and Vascular Disease Research · doi:10.3132/dvdr.2009.006 · Cited by 24
Martínez-Torres, J., Correa‐Bautista, J. E., González‐Ruíz, K., Vivas, A., Triana-Reina, H. R., Prieto‐Benavides, D. H., Carrillo, H. A., Ramos-Sepúlveda, J. A., Villa‐González, E., García‐Hermoso, A., et al. (2017) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph14030233 · Cited by 25
“This finding is important because most longitudinal studies have agreed that a high blood pressure level is one of the most prevalent criteria [44], and individuals diagnosed with high blood pressure have high MetS prevalence [45].”
BackgroundTouloumi, G., Karakatsani, A., Karakosta, A., Sofianopoulou, E., Koustenis, P., Gavana, M., Alamanos, Y., Καντζάνου, Μ., Konstantakopoulos, G., Chryssochoou, X., et al. (2018) · JMIR Research Protocols · doi:10.2196/10997 · Cited by 25
Carotid atherosclerosis associated to metabolic syndrome but not BMI in healthy menopausal women
Montalcini, T., Gorgone, G., Gazzaruso, C., Sesti, G., Perticone, F., & Pujia, A. (2006) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2006.09.014 · Cited by 25
The association of the metabolic syndrome with QTc interval in NHANES III
Faramawi, M. F., Wildman, R. P., Gustat, J., Rice, J. C., & Kareem, M. Y. A. (2008) · European Journal of Epidemiology · doi:10.1007/s10654-008-9252-4 · Cited by 25
Metabolic Syndrome Among Type-2 Diabetic Patients in Benghazi-Libya: A Pilot Study
Alshkri, M. M., & Elmehdawi, R. R. (2008) · Libyan Journal of Medicine · doi:10.3402/ljm.v3i4.4789 · Cited by 25
Bianchi, C., Miccoli, R., Bonadonna, R. C., Giorgino, F., Frontoni, S., Faloia, E., Marchesini, G., Dolci, M. A., Alviggi, L., Gnasso, A., et al. (2010) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2010.03.006 · Cited by 24
Latin American consensus on diabetes mellitus and hypertension
Burlando, G., nchez, R. A. S., Ramos, F. H., Mogensen, C. E., & Zanchetti, A. (2004) · Journal of Hypertension · doi:10.1097/00004872-200412000-00001 · Cited by 25
Metadata
- Authors
- Alexander, C. M., Landsman, P. B., Teutsch, S. M., & Haffner, S. M.
- Affiliations
- Merck & Co., Inc., Rahway, NJ, USA (United States) (US)
- The University of Texas at San Antonio Health Science Center (US)
- Venue
- Diabetes
- Publisher
- American Diabetes Association
- Published
- 2003-05-01
- Volume
- 52
- Issue
- 5
- Pages
- 1210-1214
- ISSN
- 0012-1797 (ISSN-L)
- 1939-327X
- OpenAlex
- W2151152924
- Cited by
- 1,475
- References
- 30
- Citations by year
- 2026: 9 · 2025: 14 · 2024: 18 · 2023: 20 · 2022: 30 · 2021: 37 · 2020: 32 · 2019: 30 · 2018: 42 · 2017: 39 · 2016: 51 · 2015: 43 · 2014: 61 · 2013: 65 · 2012: 73
- FWCI
- 77.32
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Diabetes (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Risk Factors
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Function and Risk Factors
- Keywords
- metabolic syndrome, coronary artery disease, prevalence, older adults, NCEP criteria, NHANES III, cardiovascular risk factors, blood pressure, HDL cholesterol
- MeSH terms
- Age Factors, Blood Pressure, Body Constitution, Coronary Disease, Diabetes Mellitus, Type 2, Diabetic Angiopathies, Female, Humans, Cholesterol, HDL, Cholesterol, LDL, Male, Middle Aged, Patient Education as Topic, Physical Examination, Surveys and Questionnaires, Risk Factors, Smoking, United States, Prevalence, Metabolic Syndrome
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