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Metabolic Syndrome and Risk of Incident Cardiovascular Events and Death
Open accessAbstract
Objectives The purpose of this research was to assess the association between the metabolic syndrome (MetSyn) and cardiovascular events and mortality by meta-analyses of longitudinal studies.Background Controversy exists regarding the cardiovascular risk associated with MetSyn.Methods We searched electronic reference databases through March 2005, studies that referenced Reaven's seminal article, abstracts presented at meetings in 2003 to 2004, and queried experts. Two reviewers independently assessed eligibility. Longitudinal studies reporting associations between MetSyn and cardiovascular events or mortality were eligible. Two reviewers independently used a standardized form to collect data from published reports. Authors were contacted. Study quality was assessed by the control of selection, detection, and attrition biases.Results We found 37 eligible studies that included 43 cohorts (inception 1971 to 1997) and 172,573 individuals. Random effects meta-analyses showed MetSyn had a relative risk (RR) of cardiovascular events and death of 1.78 (95% confidence interval [CI] 1.58 to 2.00). The association was stronger in women (RR 2.63 vs. 1.98, p = 0.09), in studies enrolling lower risk (<10%) individuals (RR 1.96 vs. 1.43, p = 0.04), and in studies using factor analysis or the World Health Organization definition (RR 2.68 and 2.06 vs. 1.67 for National Cholesterol Education Program definition and 1.35 for other definitions; p = 0.005). The association remained after adjusting for traditional cardiovascular risk factors (RR 1.54, 95% CI 1.32 to 1.79).Conclusions The best available evidence suggests that people with MetSyn are at increased risk of cardiovascular events. These results can help clinicians counsel patients to consider lifestyle interventions, and should fuel research of other preventive interventions.
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“It is imperative to recognize that MetS is not just a repackaging of its individual risk components, but, as demonstrated in at least 1 analysis, is a clinical entity associated with an increased risk of ASCVD or death, even after controlling for its component risk factors (risk ratio: 1.54; 95% confidence interval: 1.32 to 1.79) (39).”
From The CardioMetabolic Health Alliance (2015) · cites this paper as [39]
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Measuring inconsistency in meta-analyses
Higgins, J. P. T., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003) · BMJ · doi:10.1136/bmj.327.7414.557 · Cited by 63,139
A Coefficient of Agreement for Nominal Scales
Cohen, J. (1960) · Educational and Psychological Measurement · doi:10.1177/001316446002000104 · Cited by 42,398
Meta-analysis in clinical trials
DerSimonian, R., & Laird, N. (1986) · Controlled Clinical Trials · doi:10.1016/0197-2456(86)90046-2 · Cited by 39,552
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
Meta-analysis of Observational Studies in Epidemiology<SUBTITLE>A Proposal for Reporting</SUBTITLE>
Stroup, D. F. (2000) · JAMA · doi:10.1001/jama.283.15.2008 · Cited by 20,623
Duval, S., & Tweedie, R. (2000) · Biometrics · doi:10.1111/j.0006-341x.2000.00455.x · Cited by 14,099
Role of Insulin Resistance in Human Disease
Reaven, G. M. (1988) · Diabetes · doi:10.2337/diab.37.12.1595 · Cited by 12,154
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
The file drawer problem and tolerance for null results.
Rosenthal, R. (1979) · Psychological Bulletin · doi:10.1037/0033-2909.86.3.638 · Cited by 9,068
Flagged first, then by citations
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Does the metabolic syndrome add to the diagnosis and treatment of cardiovascular disease?
de Zeeuw, D., & Bakker, S. J. L. (2008) · Nature Clinical Practice Cardiovascular Medicine · doi:10.1038/ncpcardio1271 · Cited by 20
Lipid ratio as a suitable tool to identify individuals with MetS risk: A case- control study
Abbasian, M., Delvarianzadeh, M., Ebrahimi, H., & Khosravi, F. (2016) · Diabetes & Metabolic Syndrome Clinical Research & Reviews · doi:10.1016/j.dsx.2016.08.011 · Cited by 20
The effect of selective serotonin reuptake inhibitors on major adverse cardiovascular events
Kim, Y., Lee, Y. S., Kim, M. G., Song, Y.-K., Kim, Y., Jang, H.-Y., Kim, J. H., Han, N., Ji, E., Kim, I., et al. (2018) · International Clinical Psychopharmacology · doi:10.1097/yic.0000000000000238 · Cited by 19
Physical activity energy expenditure and cardiometabolic health in three rural Kenyan populations
Lee, J. C., Westgate, K. L., Boit, M. K., Mwaniki, D. L., Kiplamai, F., Friis, H., Tetens, I., Christensen, D. L., & Brage, S. (2018) · American Journal of Human Biology · doi:10.1002/ajhb.23199 · Cited by 20
Metabolic syndrome is associated with peripheral endothelial dysfunction amongst men
Taher, R., Sara, J. D. S., Heidari, B., Toya, T., Lerman, L. O., & Lerman, A. (2019) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s204666 · Cited by 20
Park, S., Han, K., Lee, S., Kim, Y., Lee, Y., Kang, M. W., Park, S. H., Kim, Y. C., Han, S. S., Lee, H., et al. (2021) · PLoS ONE · doi:10.1371/journal.pone.0241623 · Cited by 20
The Use of Exercise in the Management of Type 1 and Type 2 Diabetes
Weltman, N. Y., SALIBA, S. A., Barrett, E. J., & WELTMAN, A. L. (2009) · Clinics in Sports Medicine · doi:10.1016/j.csm.2009.02.006 · Cited by 19
Suzuki, Y., Mitsushima, S., Kato, A., Yamaguchi, T., & Ichihara, S. (2013) · Cardiovascular Pathology · doi:10.1016/j.carpath.2013.06.004 · Cited by 20
The role of statins in the treatment of the metabolic syndrome
Ott, C., & Schmieder, R. E. (2009) · Current Hypertension Reports · doi:10.1007/s11906-009-0025-6 · Cited by 20
Zhang, Y., Hong, J., Gu, W., Gui, M., Chen, Y., Zhang, Y., Chi, Z.-N., Wang, W., Li, X., & Ning, G. (2009) · Endocrine · doi:10.1007/s12020-009-9214-y · Cited by 20
Wille, E., Scholze, J., Alegría, E., Ferri, C., Langham, S., Stevens, W., Jeffries, D. J., & Uhl-Hochgräber, K. (2010) · The European Journal of Health Economics · doi:10.1007/s10198-010-0223-9 · Cited by 20
Metabolic syndrome in hematologic malignancies survivors: a meta-analysis
Li, C., Liu, R., Liu, L., Zhang, X., Yang, P., Sheng, H., Bu, L., Li, H., & Qu, S. (2014) · Medical Oncology · doi:10.1007/s12032-014-0422-9 · Cited by 20
Dada, S. A., Ajayi, D. D., Areo, P. O., Raimi, T. H., Emmanuel, E. E., Odu, O. O., & Aremu, O. (2016) · Medicines · doi:10.3390/medicines3020015 · Cited by 20
Kim, J., Pyo, S. S., Yoon, D. W., Lee, S., Lim, J.-Y., Heo, J. S., Lee, S. K., & Shin, C. (2018) · PLoS ONE · doi:10.1371/journal.pone.0206157 · Cited by 20
Bo, S., Rosato, R., Ciccone, G., Gambino, R., Durazzo, M., Gentile, L., Cassader, M., Cavallo‐Perin, P., & Pagano, G. (2009) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.910 · Cited by 20
Linnville, S. E., Hoyt, R. E., Moore, J. L., Segovia, F., & Hain, R. E. (2011) · Military Medicine · doi:10.7205/milmed-d-10-00367 · Cited by 19
Zupkauskienė, J., Laucevičienė, I., Navickas, P., Ryliškytė, L., Puronaitė, R., Badarienė, J., & Laucevičius, A. (2022) · Hellenic Journal of Cardiology · doi:10.1016/j.hjc.2022.04.003 · Cited by 24
López‐Baltanás, R., Rodríguez-Ortiz, M. E., Díaz‐Tocados, J. M., Martinez-Moreno, J. M., Membrives, C., Rodelo‐Haad, C., de Mier, M. V. P.-R., Rodríguez, M., Canalejo, A., Almadén, Y., et al. (2023) · Antioxidants · doi:10.3390/antiox12020283 · Cited by 19
Cardiovascular effects of hormone therapy for prostate cancer
Mason, M. D., & Lester, J. F. (2015) · Drug Healthcare and Patient Safety · doi:10.2147/dhps.s50549 · Cited by 24
Prevalence of the Metabolic Syndrome Among Employees in Northeast China
Wang, X., Yang, F., Bots, M. L., Guo, W., Zhao, B. Q., Hoes, A. W., & Vaartjes, I. C. H. (2015) · Chinese Medical Journal · doi:10.4103/0366-6999.161337 · Cited by 19
Average Volume of Alcohol Consumed, Drinking Patterns, and Metabolic Syndrome in Older Korean Adults
Shin, M., Kweon, S., Choi, J., Rhee, J.-A., Nam, H., Jeong, S., Park, K.-S., Ryu, S. Y., Choi, S.-W., Kim, B., et al. (2013) · Journal of Epidemiology · doi:10.2188/jea.je20120065 · Cited by 19
Johari, S. M., & Shahar, S. (2014) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2014.04.003 · Cited by 19
Lee, S. H., Baek, S., Ahn, S. H., Kim, S., Jo, M., Bae, S. J., Kim, H., Choe, J., Park, G., Kim, Y., et al. (2014) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2013-3608 · Cited by 19
Lipińska, A., Koczaj-Bremer, M., Jankowski, K., Kaźmierczak, A., Ciurzyński, M., Ou-Pokrzewińska, A., Mikocka, E., Lewandowski, Z., Demkow, U. A., & Pruszczyk, P. (2014) · Diabetology & Metabolic Syndrome · doi:10.1186/1758-5996-6-75 · Cited by 19
Mohtashami, A., Mahaki, B., Azadbakht, L., & Entezari, M. H. (2016) · Clinical Nutrition Research · doi:10.7762/cnr.2016.5.2.89 · Cited by 19
Older menarche age and short reproductive period linked to chronic kidney disease risk
Noh, J. H., & Koo, H. (2019) · Medicine · doi:10.1097/md.0000000000015511 · Cited by 19
Association of non-HDL cholesterol with subclinical atherosclerosis in HIV-positive patients
Badiou, S., Thiébaut, R., Aurillac-Lavignolle, V., Dabis, F., Laporte, F., Cristol, J., & Mercié, P. (2008) · Journal of Infection · doi:10.1016/j.jinf.2008.05.007 · Cited by 19
Sharif, A., Ravindran, V. K., Dunseath, G. J., Luzio, S. D., Owens, D. R., & Baboolal, K. (2010) · Transplantation · doi:10.1097/tp.0b013e3181bd06d2 · Cited by 19
Insulin Resistance and the Cardiometabolic Syndrome in HIV Infection
Bevilacqua, M. T., Dominguez, L. J., & Barbagallo, M. (2009) · Journal of the CardioMetabolic Syndrome · doi:10.1111/j.1559-4572.2008.00027.x · Cited by 19
The metabolic syndrome is not a sensible tool for predicting the risk of coronary heart disease
Woodward, M., & Tunstall‐Pedoe, H. (2009) · European Journal of Cardiovascular Prevention & Rehabilitation · doi:10.1097/hjr.0b013e3283282f8d · Cited by 19
Metabolic syndrome: Perception or reality?
Lau, D. C. W. (2009) · Current Atherosclerosis Reports · doi:10.1007/s11883-009-0041-7 · Cited by 19
Udell, J. A., Steg, P. G., Scirica, B. M., Eagle, K. A., Ohman, E. M., Goto, S., Alsheikh-Ali, A. A. A., Porath, A., Corbalan, R. L., Umez-Eronini, A. A., et al. (2013) · European Journal of Preventive Cardiology · doi:10.1177/2047487313500541 · Cited by 20
Talavera-Garcia, E., Delgado‐Lista, J., García‐Ríos, A., Delgado‐Casado, N., Gómez-Luna, P., Gomez-Garduño, A., Gómez-Delgado, F., Alcala-Diaz, J. F., Yubero‐Serrano, E. M., Marı́n, C., et al. (2016) · PLoS ONE · doi:10.1371/journal.pone.0153096 · Cited by 20
Pasha, E. P., Birdsill, A. C., Oleson, S., Haley, A. P., & Tanaka, H. (2017) · American Journal of Hypertension · doi:10.1093/ajh/hpx132 · Cited by 19
Toschi‐Dias, E., Trombetta, I. C., da Silva, V. J. D., Maki‐Nunes, C., Alves, M. J. N. N., Ângelo, L. F., Cepeda, F. X., Martinêz, D. G., Negrão, C. E., & Rondon, M. U. P. B. (2012) · European Journal of Applied Physiology · doi:10.1007/s00421-012-2476-8 · Cited by 19
Wu, E., Ni, J., Zhu, Z., Xu, H., Tao, L., & Xie, T. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19169936 · Cited by 18
Lee, Y. H., Song, S. H., Song, S. H., Shin, H. S., Yang, J., Kim, M. S., Hwang, H. S., the KOTRY Study Group, Ahn, C., Yang, J., et al. (2023) · Nephrology Dialysis Transplantation · doi:10.1093/ndt/gfad115 · Cited by 18
Basal ganglia morphology links the metabolic syndrome and depressive symptoms
Onyewuenyi, I. C., Muldoon, M. F., Christie, I. C., Erickson, K. I., & Gianaros, P. J. (2013) · Physiology & Behavior · doi:10.1016/j.physbeh.2013.09.014 · Cited by 18
Metabolic syndrome, inflammation and atherothrombosis
Weiss, T. W., & Rohla, M. (2013) · Hämostaseologie · doi:10.5482/hamo-13-07-0035 · Cited by 18
Mechanisms and Significance of Progenitor Cell Reduction in the Metabolic Syndrome
Fadini, G. P., Agostini, C., Boscaro, E., & Avogaro, A. (2009) · Metabolic Syndrome and Related Disorders · doi:10.1089/met.2008.0067 · Cited by 19
Onat, A., Can, G., Hergenç, G., Küçükdurmaz, Z., Uğur, M., & Yüksel, H. (2010) · Cardiology · doi:10.1159/000312009 · Cited by 18
Shin, J., Park, J. B., Kim, K., Kim, J. H., Yang, D. H., Pyun, W. B., Kim, Y. G., Kim, G., & Chae, S. C. (2015) · Clinical Hypertension · doi:10.1186/s40885-014-0014-1 · Cited by 18
Kang, H. K., Park, H. Y., Jeong, B., Koh, W.-J., & Lim, S. Y. (2015) · Medicine · doi:10.1097/md.0000000000002089 · Cited by 18
Ahn, J., Kim, N.-S., Lee, B.-K., & Park, S. (2017) · Journal of Korean Medical Science · doi:10.3346/jkms.2017.32.9.1474 · Cited by 18
Díaz, A., Espeche, W. G., March, C., Flores, R. J. J., Parodi, R., Genesio, M. A., Sabio, R., & Poppe, S. (2017) · Hipertensión y Riesgo Vascular · doi:10.1016/j.hipert.2017.08.003 · Cited by 18
Asadi, Z., Shafiee, M., Sadabadi, F., Saberi‐Karimian, M., Darroudi, S., Tayefi, M., Ghazizadeh, H., Bakavoli, A. H., Moohebati, M., Esmaeily, H., et al. (2018) · Diabetes & Metabolic Syndrome Clinical Research & Reviews · doi:10.1016/j.dsx.2018.11.059 · Cited by 18
Velarde, G., Choudhary, N., Bravo‐Jaimes, K., Smotherman, C. R., Sherazi, S., & Kraemer, D. F. (2020) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2020.10.002 · Cited by 18
Sequí‐Domínguez, I., Cavero‐Redondo, I., Álvarez‐Bueno, C., Saz‐Lara, A., Mesas, A. E., & Martínez‐Vizcaíno, V. (2020) · Journal of Hypertension · doi:10.1097/hjh.0000000000002754 · Cited by 18
Jia, Z., Wu, S., Zhou, Y., Wang, W., Liu, X., Wang, L., Wang, Y., Wang, Y., Liang, W., Zhao, X., et al. (2011) · Neurological Research · doi:10.1179/016164111x13007856083882 · Cited by 18
Goodman, D., Fraga, M., Brodine, S. K., Ibarra, M.-D.-L.-L., & Garfein, R. S. (2012) · Journal of Immigrant and Minority Health · doi:10.1007/s10903-012-9717-0 · Cited by 18
Wakabayashi, I. (2013) · Metabolic Syndrome and Related Disorders · doi:10.1089/met.2012.0131 · Cited by 18
Shamliyan, T., Kane, R. L., & Jansen, S. (2012) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2011.10.017 · Cited by 18
Number of medications is associated with outcomes in the elderly patient with metabolic syndrome
Akshar, Y. P., Pratik, S., & Joseph, H. (2012) · 老年心脏病学杂志:英文版 · doi:10.3724/sp.j.1263.2011.12011 · Cited by 18
Formisano, A., Bammann, K., Fraterman, A., Hadjigeorgiou, C., Herrmann, D., Iacoviello, L., Mårild, S., Moreno, L. A., Nagy, P., den Bussche, K. V., et al. (2016) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2016.02.012 · Cited by 18
PREVALÊNCIA DE OBESIDADE E SÍNDROME METABÓLICA EM FREQUENTADORES DE UM PARQUE
de Souza, M. D. G., Vilar, L., de Andrade, C. B., ALBUQUERQUE, R. D. O. E., Cordeiro, L. H. D. O., Campos, J. M., & Ferraz, Á. A. B. (2015) · ABCD Arquivos Brasileiros de Cirurgia Digestiva (São Paulo) · doi:10.1590/s0102-6720201500s100010 · Cited by 18
Cubbon, R. M., Kahn, M., & Kearney, M. T. (2007) · International Journal of Clinical Practice · doi:10.1111/j.1742-1241.2007.01646.x · Cited by 18
Relación entre el síndrome metabólico y la mortalidad por cardiopatía isquémica en España
Latre, M. L., Andres, E. M., Cordero, A., Pascual, I., Vispe, C., Laclaustra, M., Luengo, E., & Casasnovas, J. A. (2009) · Revista Española de Cardiología · doi:10.1016/s0300-8932(09)73135-5 · Cited by 18
Mumme, K., Conlon, C., von Hurst, P. R., Jones, B., de Seymour, J. V., Stonehouse, W., Heath, A.-L., Coad, J., Haskell-Ramsay, C. F., Mugridge, O., et al. (2021) · British Journal Of Nutrition · doi:10.1017/s0007114521004682 · Cited by 17
Huang, W., Deng, S., Liu, S. M., Ma, Q., Cao, L., Liu, L., Wan, H., & Shen, J. (2024) · Frontiers in Endocrinology · doi:10.3389/fendo.2024.1346669 · Cited by 18
Martiniaková, M., Mondočková, V., Kováčová, V., Babikova, M., Zemanová, N., Bíro, R., Pénzes, N., & Omelka, R. (2024) · Diabetology & Metabolic Syndrome · doi:10.1186/s13098-024-01440-7 · Cited by 22
Jukema, J. W., Chiang, C.-W., Ferrières, J., Santos, R. D., Verdejo, J., Waters, D. D., Messig, M., Tarasenko, L. C., & on behalf of the L-TAP 2 Investigators (2010) · Current Medical Research and Opinion · doi:10.1185/03007995.2010.522490 · Cited by 17
Metabolic correlates of menopause
Ross, L. A., & Polotsky, A. J. (2012) · Current Opinion in Obstetrics & Gynecology · doi:10.1097/gco.0b013e32835a91bc · Cited by 18
Morelli, A., Vignozzi, L., Maggi, M., & Adorini, L. (2010) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2010.10.013 · Cited by 17
McKenney, M., Rodenbeck, S. D., Owen, M. K., Schultz, K. A., Alloosh, M., Tune, J. D., & Sturek, M. S. (2016) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2016.03.032 · Cited by 17
Wu, C., Kao, T., Chang, Y., Peng, T., Wu, L., Yang, H., & Chen, W. (2018) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2017-02320 · Cited by 18
Cardel, M. I., Min, Y., Sims, M., Musani, S. K., Dulin, A., DeBoer, M. D., & Gurka, M. J. (2018) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2018.02.014 · Cited by 17
Yu, W., Randhawa, A. K., Blair, S. N., Sui, X., & Kuk, J. L. (2019) · PLoS ONE · doi:10.1371/journal.pone.0218307 · Cited by 17
The Effects of Exercise Training on the Traditional Lipid Profile and Beyond
GORDON, B. L., Chen, S., & Durstine, J. L. (2016) · Translational Journal of the American College of Sports Medicine · doi:10.1249/tjx.0000000000000023 · Cited by 17
Cardiac Rehabilitation and Outcome in Stable Outpatients With Recent Myocardial Infarction
Coll-Fernández, R., Coll, R., Pascual, T., Muñoz-Torrero, J. F. S., Sahuquillo, J. C., Manzano, L., Aguilar, E., Alcalá-Pedrajas, J. N., Álvarez, L. R., García-Díaz, A. M., et al. (2013) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2013.09.020 · Cited by 17
Targeting abdominal obesity in cardiology: Can we be effective?
Poirier, P. (2008) · Canadian Journal of Cardiology · doi:10.1016/s0828-282x(08)71044-4 · Cited by 17
Kim, C. S., Choi, J. S., Bae, E. H., Kwon, S., Ahn, Y., Jeong, M. H., Kim, Y. J., Cho, M., Kim, C. J., & Kim, S. W. (2012) · Metabolism · doi:10.1016/j.metabol.2012.11.002 · Cited by 17
Prevalence of the Metabolic Syndrome and Associated Factors in Korean Cancer Survivors
Lee, J., Park, N. H., Song, Y. S., Park, S. M., Lee, H.-W., Kim, K. H., & Choi, K.-H. (2013) · Asian Pacific Journal of Cancer Prevention · doi:10.7314/apjcp.2013.14.3.1773 · Cited by 17
Tadaki, S., Sakata, Y., Miura, Y., Miyata, S., Asakura, M., Shimada, K., Yamamoto, T., Fukumoto, Y., Kadokami, T., Yasuda, S., et al. (2016) · Circulation Journal · doi:10.1253/circj.cj-15-0942 · Cited by 17
Kim, I., Kim, M. C., Sim, D. S., Hong, Y. J., Kim, J. H., Jeong, M. H., Cho, J. G., Park, J. C., Seung, K., Chang, K., et al. (2018) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2018.03.366 · Cited by 17
Lee, A., Ng, C. G., Koh, O. H., Gill, J. S., & Aziz, S. A. (2018) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph15050933 · Cited by 19
Sympathetic Neural Control in Humans with Anxiety‐Related Disorders
Bigalke, J. A., & Carter, J. R. (2021) · Comprehensive physiology · doi:10.1002/cphy.c210027 · Cited by 29
Pizarro-Montaner, C., Cancino-López, J., Reyes, A. P., & Flores‐Opazo, M. (2020) · Ergonomics · doi:10.1080/00140139.2020.1774079 · Cited by 16
Imaging techniques for the assessment of adverse cardiac remodeling in metabolic syndrome
Preda, A., Liberale, L., & Montecucco, F. (2021) · Heart Failure Reviews · doi:10.1007/s10741-021-10195-6 · Cited by 16
Tu, Y.-C., Liu, Y., Chen, S., & Su, H. (2023) · Nutrients · doi:10.3390/nu15051083 · Cited by 16
Shao, Q., Li, J., Wu, Y., Liu, X., Wang, N., Jiang, Y., Zhao, Q., & Zhao, G. (2023) · Nutrients · doi:10.3390/nu15143168 · Cited by 17
Patients with Celiac Disease Have High Prevalence of Fatty Liver and Metabolic Syndrome
Aggarwal, N., Agarwal, A. K., Alarouri, H. S., Dwarakanathan, V., Dang, S., Ahuja, V., & Makharia, G. K. (2024) · Digestive Diseases and Sciences · doi:10.1007/s10620-024-08426-5 · Cited by 16
Diabetes Mellitus and the Metabolic Syndrome
Huang, P. L., & Huang, P. L. (2013) · Springer eBooks · doi:10.1007/978-1-4471-4483-0_7 · Cited by 16
Kawano, Y., Ogihara, T., Saruta, T., Goto, Y., & Ishii, M. (2011) · American Journal of Hypertension · doi:10.1038/ajh.2011.138 · Cited by 16
Tu, S.-F., Chou, Y., Sun, C., Hsueh, S.-C., & Yang, T. (2012) · Global Journal of Health Science · doi:10.5539/gjhs.v4n5p53 · Cited by 16
Jeon, Y. J., Kim, J. W., Park, H. M., Jang, H. G., Kim, J. O., Oh, J., Chong, S. Y., Kwon, S. W., Kim, E. J., Oh, D., et al. (2014) · BMC Cancer · doi:10.1186/1471-2407-14-881 · Cited by 16
Hagström, E., Roe, M. T., Hafley, G. E., Neely, M. L., Sidhu, M. S., Winters, K. J., Prabhakaran, D., White, H. D., Armstrong, P. W., Fox, K. A. A., et al. (2016) · Clinical Cardiology · doi:10.1002/clc.22533 · Cited by 16
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Hardy, D. S., Garvin, J. T., Baye, T. M., & Racette, S. B. (2020) · Medicine · doi:10.1097/md.0000000000018820 · Cited by 16
Kobos, L. M., & Shannahan, J. H. (2021) · Experimental Biology and Medicine · doi:10.1177/1535370220983275 · Cited by 18
Li, D., Wang, L., Zhou, Z., Song, L., Chen, S., Yang, Y., Hu, Y., Wang, Y., Wu, S., & Tian, Y. (2021) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2021.10.014 · Cited by 16
Metabolic syndrome in patients with hematological diseases
Annaloro, C., Airaghi, L., Saporiti, G., Onida, F., Cortelezzi, A., & Deliliers, G. L. (2012) · Expert Review of Hematology · doi:10.1586/ehm.12.35 · Cited by 16
Ageno, W., Dentali, F., & Grandi, A. M. (2009) · Journal of Thrombosis and Haemostasis · doi:10.1111/j.1538-7836.2009.03327.x · Cited by 16
Nakatochi, M., Miyata, S., Tanimura, D., Izawa, H., Asano, H., Murase, Y., Kato, R., Ichihara, S., Naruse, K., Matsubara, T., et al. (2011) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2011.02.029 · Cited by 16
Kang, J. Y., Park, I. K., Lee, J. Y., Sung, S. H., Chang, Y. K., Park, Y. K., & Choi, T. (2012) · Journal of Korean Medical Science · doi:10.3346/jkms.2012.27.5.500 · Cited by 16
Harrell, J. W., & Schrage, W. G. (2013) · American Journal of Physiology-Heart and Circulatory Physiology · doi:10.1152/ajpheart.00709.2013 · Cited by 16
Factors associated with metabolic syndrome among Korean office workers
Ryu, H.-S., & Chin, D. L. (2016) · Archives of Environmental & Occupational Health · doi:10.1080/19338244.2016.1200004 · Cited by 16
Zhang, Z., Gillespie, C., & Yang, Q. (2017) · Nutrition Research · doi:10.1016/j.nutres.2017.05.008 · Cited by 16
MetS Risk Score: A Clear Scoring Model to Predict a 3-Year Risk for Metabolic Syndrome
Zou, T., Zhou, Y., Zhou, X., Liu, W., Poucke, S. V., Wu, W., Zheng, J.-N., Gu, X., Zhang, D.-C., Zheng, M., et al. (2018) · Hormone and Metabolic Research · doi:10.1055/a-0677-2720 · Cited by 18
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Metabolic Syndrome and Obesity
Alonso, J. (2014) · Elsevier eBooks · doi:10.1016/b978-1-4557-0318-0.00017-6 · Cited by 16
Metadata
- Authors
- Gami, A. S., Witt, B. J., Howard, D. E., Erwin, P. J., Gami, L. A., Somers, V. K., & Montori, V. M.
- Affiliations
- Mayo Clinic (US)
- Corresponding author
- Gami, Apoor S.
- ORCID
- Somers, Virend K.
- Venue
- Journal of the American College of Cardiology
- Publisher
- Elsevier BV
- Published
- 2007-01
- Volume
- 49
- Issue
- 4
- Pages
- 403-414
- ISSN
- 0735-1097 (ISSN-L)
- OpenAlex
- W74340591
- Cited by
- 1,888
- References
- 67
- Citations by year
- 2026: 31 · 2025: 38 · 2024: 70 · 2023: 58 · 2022: 76 · 2021: 91 · 2020: 87 · 2019: 99 · 2018: 103 · 2017: 84 · 2016: 113 · 2015: 125 · 2014: 131 · 2013: 140 · 2012: 122
- FWCI
- 91.62
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Journal of the American College of Cardiology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- World Health Organization
- 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, cardiovascular events, cardiovascular mortality, cardiovascular risk, sex differences, metabolic syndrome definitions, traditional cardiovascular risk factors, lifestyle intervention
- MeSH terms
- Cardiovascular Diseases, Humans, Longitudinal Studies, Risk Factors, Metabolic Syndrome
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