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Factor Analysis of Metabolic Syndrome Using Directly Measured Insulin Sensitivity
Open accessAbstract
Factor analysis, a multivariate correlation technique, has been used to provide insight into the underlying structure of metabolic syndrome, which is characterized by physiological complexity and strong statistical intercorrelation among its key variables. The majority of previous factor analyses, however, have used only surrogate measures of insulin sensitivity. In addition, few have included members of multiple ethnic groups, and only one has presented results separately for subjects with impaired glucose tolerance. The objective of this study was to investigate, using factor analysis, the clustering of physiologic variables using data from 1,087 nondiabetic participants in the Insulin Resistance Atherosclerosis Study (IRAS). This study includes information on the directly measured insulin sensitivity index (SI) from intravenous glucose tolerance testing among African-American, Hispanic, and non-Hispanic white subjects aged 40–69 years at various stages of glucose tolerance. Principal factor analysis identified two factors that explained 28 and 9% of the variance in the dataset, respectively. These factors were interpreted as 1) a “ metabolic” factor, with positive loadings of BMI, waist, fasting and 2-h glucose, and triglyceride and inverse loadings of log(SI+1) and HDL; and 2) a “blood pressure” factor, with positive loadings of systolic and diastolic blood pressure. The results were unchanged when surrogate measures of insulin resistance were used in place of log(SI+1). In addition, the results were similar within strata of sex, glucose tolerance status, and ethnicity. In conclusion, factor analysis identified two underlying factors among a group of metabolic syndrome variables in this dataset. Analyses using surrogate measures of insulin resistance suggested that these variables provide adequate information to explore the underlying intercorrelational structure of metabolic syndrome. Additional clarification of the physiologic characteristics of metabolic syndrome is required as individuals with this condition are increasingly being considered candidates for behavioral and pharmacologic intervention.
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“Factor analysis in epidemiological studies in different populations, including adolescents and ethnic minorities, demonstrates clustering of risk in the domains of adiposity and/or dyslipidemia, hyperglycemia or insulin resistance, and hypertension that explain 37% to 70% of variation and vary by sex and race (4-7).”
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Matthews, D. R., Hosker, J. P., Rudenski, A. S., Naylor, B. A., Treacher, D. F., & Turner, R. C. (1985) · Diabetologia · doi:10.1007/bf00280883 · Cited by 31,502
Tuomilehto, J., Lindström, J., Eriksson, J. G., Valle, T. T., Hämäläinen, H., Ilanne-Parikka, P., Keinänen-Kiukaanniemi, S., Laakso, M., Louheranta, A., Rastas, M., et al. (2001) · New England Journal of Medicine · doi:10.1056/nejm200105033441801 · Cited by 10,873
Coated Charcoal Immunoassay of Insulin
Herbert, V. D., Lau, K., Gottlieb, C. W., & Bleicher, S. J. (1965) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jcem-25-10-1375 · Cited by 2,969
Assessment of Insulin Sensitivityin Vivo*
Bergman, R. N., Finegood, D. T., & Ader, M. (1985) · Endocrine Reviews · doi:10.1210/edrv-6-1-45 · Cited by 1,072
How good a marker is insulin level for insulin resistance?
Laakso, M. (1993) · American Journal of Epidemiology · doi:10.1093/oxfordjournals.aje.a116768 · Cited by 726
(1999) · Diabetes Care · doi:10.2337/diacare.22.4.623 · Cited by 725
Pacini, G., & Bergman, R. N. (1986) · Computer Methods and Programs in Biomedicine · doi:10.1016/0169-2607(86)90106-9 · Cited by 695
Haffner, S. M., Ralph, D., Saad, M. F., Rewers, M., Mykkänen, L., Selby, J., Howard, G., Savage, P. J., Hamman, R. F., Wegenknecht, L. E., et al. (1996) · Diabetes · doi:10.2337/diab.45.6.742 · Cited by 536
Self-citationRisk Variable Clustering in the Insulin Resistance Syndrome: The Framingham Offspring Study
Meigs, J. B., D’Agostino, R. B., Wilson, P. W. F., Cupples, L. A., Nathan, D. M., & Singer, D. E. (1997) · Diabetes · doi:10.2337/diacare.46.10.1594 · Cited by 525
Self-citationLemieux, S., Prud'homme, D., Bouchard, C., Tremblay, A., & Despres, J. (1996) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/64.5.685 · Cited by 519
Cited by
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Firefighters, Heart Disease, and Aspects of Insulin Resistance
Superko, H. R., Momary, K. M., PENDYALA, L. K., Williams, P. T., Frohwein, S., Garrett, B. C., Skrifvars, C., Gadesam, R., King, S. B., Rolader, S., et al. (2011) · Journal of Occupational and Environmental Medicine · doi:10.1097/jom.0b013e31821f64c3 · Cited by 25
Association of exonic variants of Klotho with metabolic syndrome in Asian Indians
Majumdar, V., & Christopher, R. (2011) · Clinica Chimica Acta · doi:10.1016/j.cca.2011.02.034 · 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
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
Lee, I., Lee, W., Huang, C., & Sheu, W. H. (2007) · Metabolism · doi:10.1016/j.metabol.2007.07.015 · Cited by 25
Madeo, S. F., Zagaroli, L., Vandelli, S., Calcaterra, V., Crinò, A., SANCTIS, L. D., Faienza, M. F., Fintini, D., Guazzarotti, L., Licenziati, M. R., et al. (2024) · Frontiers in Endocrinology · doi:10.3389/fendo.2024.1382583 · Cited by 24
Vonbank, A., Saely, C. H., Rein, P., & Drexel, H. (2013) · Cardiovascular Diabetology · doi:10.1186/1475-2840-12-106 · Cited by 24
Kim, M.-S., Kim, H.-N., & Choi, W.-S. (2018) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2018.06.016 · Cited by 23
Lara, A., Rosas, M., Pastelı́n, G., Aguilar, C. A., Attié, F., & Monroy, Ó. V. (2004) · Revista Portuguesa de Pneumologia · Cited by 23
Second World Congress on the Insulin Resistance Syndrome
Bloomgarden, Z. T. (2005) · Diabetes Care · doi:10.2337/diacare.28.8.2073 · Cited by 22
Andersen, M. L. M., Rasmussen, M. A., Pörksen, S., Svensson, J., Vikre-Jørgensen, J., Thomsen, J. F., Hertel, N. T., Johannesen, J., Pociot, F., Petersen, J. S., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0064632 · Cited by 21
Adiponectin: An Indicator for Metabolic Syndrome
Yosaee, S., Khodadost, M., Esteghamati, A., Speakman, J. R., Djafarian, K., Bitarafan, V., & Shidfar, F. (2020) · Iranian Journal of Public Health · doi:10.18502/ijph.v48i6.2921 · Cited by 21
Pathophysiology of the Metabolic Syndrome
Nolan, J. J., & O’Gorman, D. J. (2013) · Springer eBooks · doi:10.1007/978-3-7091-1331-8_3 · Cited by 22
Ferguson, T. F., Funkhouser, E. M., & Roseman, J. M. (2010) · Annals of Epidemiology · doi:10.1016/j.annepidem.2009.11.002 · Cited by 19
Association between Adiponectin and Metabolic Syndrome in Older Adults from Major Cities of China
Zhuo, Q., Wang, Z., Fu, P. P., Jian-Hua, P. I. A. O., Tian, Y., Xu, J., & Yang, X. (2010) · Biomedical and Environmental Sciences · doi:10.1016/s0895-3988(10)60032-3 · Cited by 21
Tsai, C.-H., Li, T., Lin, C., & Tsay, H.-S. (2011) · Endocrine · doi:10.1007/s12020-011-9466-1 · Cited by 18
Miyazaki, S., Hiasa, Y., Takahashi, T., Tobetto, Y., Chen, H., Mahara, K., Ogura, R., Miyajima, H., Yuba, K., Hosokawa, S., et al. (2009) · Journal of Cardiology · doi:10.1016/j.jjcc.2009.11.006 · Cited by 18
JYVÄSKYLÄ STUDIES IN EDUCATION, PSYCHOLOGY AND SOCIAL RESEARCH 275
Kinnunen, M.-L. (2005) · Cited by 19
Beta-cell function is associated with metabolic syndrome in Mexican subjects
Pérez-Fuentes, R. (2010) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmsott.s12375 · Cited by 18
Lentz, M., Lee, V., Westmoreland, S. V., Ratai, E., Halpern, E., & González, R. (2008) · NMR in Biomedicine · doi:10.1002/nbm.1276 · Cited by 19
Karelis, A. D., Henry, J., St‐Pierre, D. H., Prud’homme, D., & RABASA-LHORET, R. P. R. (2005) · Diabetes Obesity and Metabolism · doi:10.1111/j.1463-1326.2005.00503.x · Cited by 18
Herbeth, B., Samara, A., Ndiaye, C., Marteau, J., Berrahmoune, H., Siest, G., & Visvikis‐Siest, S. (2010) · Clinica Chimica Acta · doi:10.1016/j.cca.2010.02.070 · Cited by 17
Xu, R., Blanchard, B. E., McCaffrey, J. M., Woolley, S. B., Corso, L. M. L., & Duffy, V. B. (2020) · Nutrients · doi:10.3390/nu12040882 · Cited by 16
Metabolic syndrome components in Indian migrants with type 2 diabetes. A matched comparative study.
Foucan, L., Deloumeaux, J., Donnet, J., Bangou, J., Larifla, L., Messerchmitt, C., Salmi, L., & Kangambega, P. (2006) · Diabetes & Metabolism · doi:10.1016/s1262-3636(07)70288-4 · Cited by 24
Appel, S. J. (2005) · Journal of the American Academy of Nurse Practitioners · doi:10.1111/j.1745-7599.2005.0052.x · Cited by 16
Contribution of visceral adiposity and insulin resistance to metabolic risk factors in Japanese men
Oka, R., Kobayashi, J., Inazu, A., Yagi, K., Miyamoto, S., Sakurai, M., Nakamura, K., Miura, K., Nakagawa, H., & Yamagishi, M. (2009) · Metabolism · doi:10.1016/j.metabol.2009.09.020 · Cited by 15
Genetic analysis of common factors underlying cardiovascular disease-related traits
Liu, X.-Q., Hanley, A. J., & Paterson, A. D. (2003) · BMC Genetics · doi:10.1186/1471-2156-4-s1-s56 · Cited by 15
Self-citationFactor Analysis of Cardiometabolic Risk Factors Clustering in Children and Adolescents
Khader, Y. S., Batieha, A. M., Jaddou, H., Batieha, Z., El-Khateeb, M. S., & Ajlouni, K. M. (2010) · Metabolic Syndrome and Related Disorders · doi:10.1089/met.2010.0097 · Cited by 14
Vonbank, A., Saely, C. H., Rein, P., Beer, S., Breuss, J., Boehnel, C., & Drexel, H. (2011) · Clinica Chimica Acta · doi:10.1016/j.cca.2011.02.008 · Cited by 14
Donahue, R. P., Stranges, S., Rafalson, L. B., Dmochowski, J., Dorn, J. M., & Trevisan, M. (2013) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2013.06.006 · Cited by 14
Clustering trend of components of metabolic syndrome
Aizawa, Y., Watanabe, H., Ramadan, M. M., Usuda, Y., Watanabe, T., & Sasaki, S. (2006) · International Journal of Cardiology · doi:10.1016/j.ijcard.2006.08.051 · Cited by 14
Inoue, T., Iseki, K., Iseki, C., Ohya, Y., Kinjo, K., & Takishita, S. (2008) · Circulation Journal · doi:10.1253/circj.72.454 · Cited by 14
Lin, M., Hwu, C. M., Huang, Y. H., Sheu, W. H., Shih, K., Chiang, F., Olshen, R. A., Chen, Y. I., Curb, J. D., & Rodríguez, B. L. (2006) · American Journal of Hypertension · doi:10.1016/j.amjhyper.2006.04.003 · Cited by 14
Düzel, S., Buchmann, N., Drewelies, J., Gerstorf, D., Lindenberger, U., Steinhagen‐Thiessen, E., Norman, K., & Demuth, I. (2018) · PLoS ONE · doi:10.1371/journal.pone.0208231 · Cited by 13
Tsai, T., Hsu, P., Lin, C.-C., Wang, Y., Ding, Y.-Z., Liou, T., Wang, Y.-W., Huang, S., Chan, W., Lin, S., et al. (2020) · PLoS ONE · doi:10.1371/journal.pone.0242365 · Cited by 13
C-reactive protein and glucose regulation in familial longevity
Rozing, M. P., Mooijaart, S. P., Beekman, M., Wijsman, C. A., Maier, A. B., Bartke, A., Westendorp, R. G. J., Slagboom, P. E., & van Heemst, D. (2011) · AGE · doi:10.1007/s11357-011-9206-8 · Cited by 13
Kim, T. K., Won, J. Y., Shin, J. A., Park, Y., Yim, H. W., & Park, Y. (2016) · PLoS ONE · doi:10.1371/journal.pone.0157006 · Cited by 13
Campbell, K. L., Kushner, H., & Falkner, B. E. (2004) · Journal of Clinical Hypertension · doi:10.1111/j.1524-6175.2004.03536.x · Cited by 13
Penno, G., Miccoli, R., Pucci, L., & Prato, S. D. (2006) · Pharmacological Research · doi:10.1016/j.phrs.2006.03.010 · Cited by 13
Wu, C., Lin, J. D., Li, J.-C., Hsiao, F., Hsieh, C. H., Kuo, S. W., Hung, Y. J., Lu, C.-H., He, C., & Pei, D. (2008) · PubMed · Cited by 12
Associations of Fibrinogen with Metabolic Syndrome in Rural Chinese Population
Ma, J., Xu, A., Jia, C., Liu, L., Fu, Z., Dong, J., Guo, X., Su, J., & Bi, Z. (2010) · Journal of Atherosclerosis and Thrombosis · doi:10.5551/jat.1529 · Cited by 12
PPARα: its role in the human metabolic syndrome
Azhar, S., & Kelley, G. (2007) · Future Lipidology · doi:10.2217/17460875.2.1.31 · Cited by 12
Nikbakht, H., Rezaianzadeh, A., Seif, M., & Ghaem, H. (2021) · Iranian Journal of Public Health · doi:10.18502/ijph.v50i9.7059 · Cited by 12
Impaired glucose tolerance and impaired fasting glucose share similar underlying pathophysiologies.
Lin, J.-D., Wan, H.-L., Li, J.-C., Wu, C.-Z., Kuo, S.-W., Hsieh, C.-H., Lian, W.-C., Lee, C.-H., Kao, M., & Pei, D. (2007) · Tohoku journal of experimental medicine · doi:10.1620/tjem.212.349 · Cited by 12
Insulin resistance is not necessarily an essential element of metabolic syndrome
Karnchanasorn, R., Ou, H.-Y., Chuang, L., & Chiu, K. C. (2012) · Endocrine · doi:10.1007/s12020-012-9702-3 · Cited by 12
Metabolic Associations with Skin Tags
Maluki, A. (2016) · International Journal of Dermatology and Clinical Research · doi:10.17352/2455-8605.000013 · Cited by 13
Godsland, I., & Johnston, D. (2008) · Metabolism: Clinical and Experimental · doi:10.1016/j.metabol.2008.04.010 · Cited by 13
Factor analysis of metabolic syndrome components in severely obese girls and boys
Lafortuna, C. L., Adorni, F., Agosti, F., Col, A. D., Zennaro, R. G., Caranti, D. A., & Sartório, A. (2009) · Journal of Endocrinological Investigation · doi:10.1007/bf03346506 · Cited by 11
Alpha-1 antitrypsin: A novel biomarker and potential therapeutic approach for metabolic diseases
Zhang, X., Ostrov, D. A., & Tian, H. (2022) · Clinica Chimica Acta · doi:10.1016/j.cca.2022.07.005 · Cited by 10
Ionescu-Tirgoviste, C., Ioacără, S., Guja, C., Sabău, S. V., Lichiardopol, R., Mihai, A. D., & Apetrei, E. (2006) · Archives of Physiology and Biochemistry · doi:10.1080/13813450600976374 · Cited by 10
Larsson, C., Daka, B., Gullberg, B., Råstam, L., & Lindblad, U. (2013) · International Journal of Cardiology · doi:10.1016/j.ijcard.2013.08.047 · Cited by 10
Peeters, C. F. W., Dziura, J., & van Wesel, F. (2014) · Annals of Epidemiology · doi:10.1016/j.annepidem.2014.07.012 · Cited by 11
Ambulatory Blood Pressure and the Metabolic Syndrome in Normotensive and Untreated Hypertensive Men
McCaffery, J. M., Shen, B., Muldoon, M. F., & Manuck, S. B. (2007) · Metabolic Syndrome and Related Disorders · doi:10.1089/met.2006.0014 · Cited by 10
Current literature in diabetes
Nazlıel, B., Yetkin, İ., İrkeç, C., & Koçer, B. (2001) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.173 · Cited by 10
Choi, Y.-J., Kim, G. S., Chu, S. H., Lee, K. H., Park, C. G., & Sohn, M. (2024) · Scientific Reports · doi:10.1038/s41598-024-72403-1 · Cited by 9
Asgharnezhad, M., Joukar, F., Naghipour, M., Nikbakht, H., Hassanipour, S., Arab‐Zozani, M., & Mansour‐Ghanaei, F. (2020) · Clinical Nutrition ESPEN · doi:10.1016/j.clnesp.2020.09.011 · Cited by 9
Cui, D., Li, Z., Xing, M., Sheng, J., Cui, M., Su, Y., Zhang, C., Chen, X., & Fang, Y. (2022) · Current Neuropharmacology · doi:10.2174/1570159x20666220302153123 · Cited by 9
Combe, H., Vol, S., Thévenot, A., Lasfargues, G., Cacès, E., Tichet, J., & Lecomte, P. (2004) · Diabetes & Metabolism · doi:10.1016/s1262-3636(07)70103-9 · Cited by 9
Öhrvik, J., Hedberg, P., Jonason, T., Lönnberg, I., & Nilsson, G. (2009) · Metabolic Syndrome and Related Disorders · doi:10.1089/met.2008.0028 · Cited by 9
Systems genetics of metabolic health in the BXD mouse genetic reference population
Li, X., Morel, J., Masi, A. D., Lalou, A., Sulc, J., Benegiamo, G., Poisson, J., Liu, Y. J., von Alvensleben, G., Maxime, N., et al. (2024) · Cell Systems · doi:10.1016/j.cels.2024.05.006 · Cited by 9
Park, S. K., Ryoo, J., Oh, C., Choi, J., & Jung, J. Y. (2018) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2018-01102 · Cited by 8
Yoon, J., Park, J.-K., Oh, S., Lee, K.-H., Kim, S.-K., Kim, J.-K., Kang, H., Youn, Y. J., Lee, J., Lee, S., et al. (2011) · Annals of Human Biology · doi:10.3109/03014460.2011.598188 · Cited by 8
REVUELTA, M. (2004) · Mitochondrion · doi:10.1016/j.mito.2004.06.008 · Cited by 8
Epidemiología del síndrome metabólico y diabetes mellitus tipo 2: ¿El diluvio que viene?
Trejo-Gutiérrez, J. F. (2004) · Revista Portuguesa de Pneumologia · Cited by 8
Tazhibi, M., Sarrafzade, S., & Amini, M. (2014) · Journal of Education and Health Promotion · doi:10.4103/2277-9531.139251 · Cited by 7
The Potentials Of Antioxidant Micronutrients In The Management Of Metabolic Syndrome
Bilbis, L. S., Muhammad, S. A., & Saidu, Y. (2014) · Journal of Antioxidant Activity · doi:10.14302/issn.2471-2140.jaa-14-423 · Cited by 6
Metabolic Syndrome: An Evolving Threat in the Genesis of Coronary Artery Disease
Jain, P., & Lahiri, A. (2007) · Journal of the CardioMetabolic Syndrome · doi:10.1111/j.1559-4564.2007.888105.x · Cited by 7
Leutzinger, J. A., Pirner, M., Landschulz, W. H., Nevins, R. L., Sullivan, S. D., & Silberman, C. (2006) · American Journal of Health Promotion · doi:10.4278/0890-1171-21.1.tahp-1 · Cited by 6
Prevalence of diabetes mellitus among obese and non-obese patients with coronary artery disease.
Khan, S. B., Hafiz-Ur-Rehman, Noor, L., Hameedullah, Hafeezullah, M., Gul, A. M., & Hadi, A. (2010) · PubMed · Cited by 6
Park, S. K., Oh, C., & Jung, J. Y. (2021) · Public Health Nutrition · doi:10.1017/s1368980021003803 · Cited by 4
Diabetes Mellitus and Metabolic Syndrome
Cosentino, F., Rydén, L., Francia, P., & Mellbin, L. (2009) · doi:10.1093/med/9780199566990.003.014 · Cited by 6
Hsieh, C., Hung, Y., Wu, D., Kuo, S., Lee, C.-H., Sheu, W. H., Li, J.-C., Yeh, K.-H., Chen, C., & Pei, D. (2007) · Journal of Korean Medical Science · doi:10.3346/jkms.2007.22.1.74 · Cited by 6
Hajian‐Tilaki, K. (2018) · Diabetes & Metabolism Journal · doi:10.4093/dmj.2018.0010 · Cited by 5
The metabolic syndrome Modify root causes, treat risk factors
Rassman, J., & Gupta, S. K. (2005) · JAAPA · doi:10.1097/01720610-200503000-00005 · Cited by 5
Vascular biomarkers in the metabolic syndrome
Thande, N. K., & Rosenson, R. S. (2009) · Expert Review of Molecular Diagnostics · doi:10.1586/erm.09.2 · Cited by 4
Luo, H., Wu, P., Chen, X. '., Wang, B., Chen, G., & Su, X. (2022) · International Immunopharmacology · doi:10.1016/j.intimp.2022.109077 · Cited by 4
Clustering Characteristics of Risk Variables of Metabolic Syndrome in Korean Rural Populations
Park, Y., Kwon, H., Lim, S., Lee, J. H., Kim, S. R., Yoon, K., Cha, B. Y., Son, H., Park, Y. G., Kim, D. S., et al. (2006) · The Journal of Korean Diabetes Association · doi:10.4093/jkda.2006.30.3.177 · Cited by 4
Frequency of Metabolic Syndrome in Female Patients with Systemic Sclerosis: A Preliminary Report
Lee, S., Kim, J., Lee, S.-H., Kim, N., Choi, S.-A., Park, E., Jung, W.-J., Park, Y. E., Park, S.-H., Lee, J., et al. (2012) · Journal of Rheumatic Diseases · doi:10.4078/jrd.2012.19.5.262 · Cited by 4
The Metabolic Syndrome: Time for a Critical Appraisal
Kahn, R., Buse, J. B., Ferrannini, E., & Stern, M. P. (2006) · Arterial’naya Gipertenziya (Arterial Hypertension) · doi:10.18705/1607-419x-2006-12-2-99-116 · Cited by 5
Lee, S. R., Han, Y., Kim, J. W., Park, J. Y., Kim, J. M., Suh, S., Park, M., Lee, H., & Kim, D. K. (2012) · Diabetes & Metabolism Journal · doi:10.4093/dmj.2012.36.5.357 · Cited by 3
Risk assessment chart for predicting fatty liver in Japanese subjects.
Inabe, F., Takahashi, E., Moriyama, K., Negami, M., & Otsuka, H. (2012) · PubMed · Cited by 3
Metabolic syndrome awareness and attitudes among family medicine residents in Riyadh 2019–2020
Alshuniefi, A. S. A., Aljuhani, N. K., Allafi, A. H., Alruwayshid, M. S., Alaraik, E. F., Alreshidi, F. F., & Almughais, E. S. (2021) · Journal of Family Medicine and Primary Care · doi:10.4103/jfmpc.jfmpc_1744_20 · Cited by 3
Hajian‐Tilaki, K. (2018) · Intern J Endocrinol Metab · doi:10.5812/ijem.14159 · Cited by 3
Nazare, J., Balkau, B., & Borel, A. (2017) · Contemporary diabetes · doi:10.1007/978-3-319-61013-9_3 · Cited by 3
Doza, B. (2010) · Natural Science · doi:10.4236/ns.2010.27093 · Cited by 3
Yang, Y., Wu, J., Lu, F., Chang, W., Wu, C., & Chang, C. (2006) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2006.08.002 · Cited by 3
Metabolic Syndrome Phenotype in Very Obese Women
Chang, C. G., García-García, A.-B., Hamilton, E. C., Shah, B., Meguro, S., Grundy, S. M., Provost, D. A., & Vega, G. L. (2007) · Metabolic Syndrome and Related Disorders · doi:10.1089/met.2006.0016 · Cited by 3
Saraç, F., Berdelı, A., Sarac, S., Savaş, S., Atan, M., & Akçiçek, F. (2013) · Journal of Diabetes Mellitus · doi:10.4236/jdm.2013.34033 · Cited by 3
Factor analysis of traditional cardiovascular risk traits in Punjabi adolescents in India
Badaruddoza, B., & Brar, S. K. (2014) · Egyptian Journal of Basic and Applied Sciences · doi:10.1016/j.ejbas.2014.11.002 · Cited by 3
Mochizuki, K., Miyauchi, R., Misaki, Y., Ichikawa, Y., & Goda, T. (2011) · European Journal of Nutrition · doi:10.1007/s00394-011-0287-z · Cited by 3
Prevalence of Metabolic Syndrome in Schizophrenic Patients
Al-Hamzawi, A. O. (2015) · doi:10.13140/2.1.1342.5444 · Cited by 3
Grugni, G., Fanolla, A., Lupi, F., Longhi, S., Saezza, A., Sartório, A., & Radetti, G. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10235635 · Cited by 2
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Metadata
- Authors
- Hanley, A. J. G., Karter, A. J., Festa, A., D’Agostino, R., Wagenknecht, L. E., Savage, P., Tracy, R. P., Saad, M. F., & Haffner, S.
- Affiliations
- Mount Sinai Hospital (CA)
- Kaiser Permanente (US)
- The University of Texas at San Antonio Health Science Center (US)
- Wake Forest University Health Sciences (US)
- National Heart, Lung, and Blood Institute (US)
- University of Vermont (US)
- University of Southern California (US)
- ORCID
- Venue
- Diabetes
- Publisher
- American Diabetes Association
- Published
- 2002-08-01
- Volume
- 51
- Issue
- 8
- Pages
- 2642-2647
- ISSN
- 0012-1797 (ISSN-L)
- 1939-327X
- OpenAlex
- W2120101762
- Cited by
- 229
- References
- 36
- Citations by year
- 2025: 2 · 2024: 4 · 2023: 1 · 2022: 3 · 2021: 5 · 2020: 6 · 2018: 6 · 2017: 6 · 2016: 5 · 2015: 5 · 2014: 12 · 2013: 8 · 2012: 15
- FWCI
- 10.90
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Diabetes (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Bristol-Myers Squibb
- Eli Lilly and Company
- Pfizer
- National Institutes of Health (5u01hl047887-09, 5u01hl047889-09)
- Genentech
- U.S. Public Health Service (R01-58329)
- Canadian Institutes of Health Research
- National Heart, Lung, and Blood Institute (U01HL047902, U01-HL 47889, U01-HL 47887, U01HL047892, DK-29867)
- National Institute of Diabetes and Digestive and Kidney Diseases (R01DK029867, DK29867)
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diet, Metabolism, and Disease
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Adipokines, Inflammation, and Metabolic Diseases
- Keywords
- metabolic syndrome, insulin sensitivity, insulin resistance, factor structure, impaired glucose tolerance, blood pressure, body mass index, waist circumference, triglycerides, HDL cholesterol, African Americans, Hispanic Americans, Insulin Resistance Atherosclerosis Study
- MeSH terms
- Arteriosclerosis, Body Constitution, Cardiovascular Diseases, Creatinine, Ethnicity, Factor Analysis, Statistical, Female, Humans, Hypertension, Insulin, Insulin Resistance, Male, Middle Aged, Risk Factors, Smoking, Triglycerides, Body Mass Index
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