Cited by 277Diabetes, Cardiovascular Risks, and LipoproteinsLipid metabolism and disordersDiet, Metabolism, and Disease

The DOI matches its Crossref record; 37 of the 38 references it cites were found in a registry or an index.

Ethnic differences in the ability of triglyceride levels to identify insulin resistance

Sumner, Anne E., Cowie, Catherine C.·2008·Atherosclerosis

DOI 10.1016/j.atherosclerosis.2006.12.018

Open this paper in CoChat — free account

Abstract

The Metabolic Syndrome is used to predict the onset of coronary artery disease and Type 2 diabetes. As the predictive value of the Metabolic Syndrome has been challenged, alternative syndromes have been developed. All of these syndromes were developed in populations that were predominantly non-Hispanic white (NHW). They include the Enlarged Waist Elevated Triglyceride Syndrome, the Overweight-Lipid Syndrome and the Hypertriglyceridemic Waist Syndrome. The first applies to postmenopausal women, the second to overweight individuals (BMI> or =25 kg/m(2)), and the third to men. Each syndrome uses hypertriglyceridemia as a criterion. However, the definition of hypertriglyceridemia varies by syndrome i.e. TG> or =128 mg/dL for the Enlarged Waist Elevated Triglyceride Syndrome, TG> or =130 mg/dL for the Overweight-Lipid Syndrome, > or =150 mg/dL for the Metabolic Syndrome, and TG> or =176 mg/dL for the Hypertriglyceridemic Waist Syndrome. Insulin resistance and hypertriglyceridemia are highly correlated. But as insulin resistant non-Hispanic blacks (NHB) often have triglyceride (TG) levels below the thresholds set by these syndromes, the ability of either TG or these syndromes to identify high risk NHB is unknown. Using the National Health and Nutrition Examination Survey (NHANES) 1999-2002, our goals were to determine by ethnicity: (1) the prevalence of each of these syndromes; (2) the ability of fasting TG concentrations to identify insulin resistance at cut-off levels established…

Integrity signals

Registry

Crossref · 10.1016/j.atherosclerosis.2006.12.018

Cites

37 of 37 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Homeostasis model assessment: insulin resistance and ?-cell function from fasting plasma glucose and insulin concentrations in man
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
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
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 metabolic syndrome
Eckel, R. H., Alberti, K., Grundy, S. M., & Zimmet, P. (2010) · The Lancet · doi:10.1016/s0140-6736(09)61794-3 · Cited by 6,317
The metabolic syndrome
Eckel, R. H., Grundy, S. M., & Zimmet, P. (2005) · The Lancet · doi:10.1016/s0140-6736(05)66378-7 · Cited by 5,755
C-Reactive Protein in Healthy Subjects: Associations With Obesity, Insulin Resistance, and Endothelial Dysfunction: A Potential Role for Cytokines Originating From Adipose Tissue?
Yudkin, J. S., Stehouwer, C. D. A., Emeis, J. J., & Coppack, S. W. (1999) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/01.atv.19.4.972 · Cited by 2,465
Homeostasis model assessment closely mirrors the glucose clamp technique in the assessment of insulin sensitivity: Studies in subjects with various degrees of glucose tolerance and insulin sensitivity
Bonora, E., Targher, G., Alberiche, M., Bonadonna, R. C., Saggiani, F., Zenere, M. B., Monauni, T., & Muggeo, M. (2000) · Diabetes Care · doi:10.2337/diacare.23.1.57 · Cited by 2,456
The Metabolic Syndrome: Time for a Critical Appraisal
Kahn, R., Buse, J. B., Ferrannini, E., & Stern, M. P. (2005) · Diabetes Care · doi:10.2337/diacare.28.9.2289 · Cited by 2,400
The Metabolic Syndrome: Prevalence and Associated Risk Factor Findings in the US Population From the Third National Health and Nutrition Examination Survey, 1988-1994
Park, Y.-W., Zhu, S., Palaniappan, L., Heshka, S., Carnethon, M. R., & Heymsfield, S. B. (2003) · Archives of Internal Medicine · doi:10.1001/archinte.163.4.427 · Cited by 2,074

Flagged first, then by citations

Show all 38 references

1 of the 38 references couldn’t be matched to a known paper.

Sorted by citations

Triglycerides and Cardiovascular Disease: A Scientific Statement From the American Heart Association
Miller, M., Stone, N. J., Ballantyne, C., Bittner, V., Criqui, M. H., Ginsberg, H. N., Goldberg, A. C., Howard, W. J., Jacobson, M. S., Kris-Etherton, P. M., et al. (2011) · Circulation · doi:10.1161/cir.0b013e3182160726 · Cited by 1,871
Sedentary time and cardio-metabolic biomarkers in US adults: NHANES 2003–06
Healy, G. N., Matthews, C. E., Dunstan, D. W., Winkler, E. A. H., & Owen, N. (2011) · European Heart Journal · doi:10.1093/eurheartj/ehq451 · Cited by 1,368
Trends in insulin resistance: insights into mechanisms and therapeutic strategy
Li, M., Chi, X., Wang, Y., Setrerrahmane, S., Xie, W., & Xu, H. (2022) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-022-01073-0 · Cited by 939
National Lipid Association Recommendations for Patient-Centered Management of Dyslipidemia: Part 2
Jacobson, T. A., Maki, K. C., Orringer, C. E., Jones, P. H., Kris-Etherton, P., Sikand, G., La Forge, R., Daniels, S. R., Wilson, D. P., Morris, P. B., et al. (2015) · Journal of Clinical Lipidology · doi:10.1016/j.jacl.2015.09.002 · Cited by 784
Challenges in the diagnosis of insulin resistance: Focusing on the role of HOMA-IR and Tryglyceride/glucose index
Tahapary, D. L., Pratisthita, L. B., Fitri, N. A., Marcella, C., Wafa, S., Kurniawan, F., Rizka, A., Tarigan, T. J. E., Harbuwono, D. S., Purnamasari, D., et al. (2022) · Diabetes & Metabolic Syndrome Clinical Research & Reviews · doi:10.1016/j.dsx.2022.102581 · Cited by 661
Effects of 4- and 6-h Time-Restricted Feeding on Weight and Cardiometabolic Health: A Randomized Controlled Trial in Adults with Obesity
Cienfuegos, S., Gabel, K., Kalam, F., Ezpeleta, M., Wiseman, E., Pavlou, V., Lin, S., Oliveira, M. L., & Varady, K. A. (2020) · Cell Metabolism · doi:10.1016/j.cmet.2020.06.018 · Cited by 597
Insulin resistance (HOMA-IR) cut-off values and the metabolic syndrome in a general adult population: effect of gender and age: EPIRCE cross-sectional study
Díz, P., Otero-González, A., Rodríguez‐Álvarez, M. X., Gudé, F., López, F. J. G., de Francisco, A., & González‐Quintela, A. (2013) · BMC Endocrine Disorders · doi:10.1186/1472-6823-13-47 · Cited by 554
Health Disparities in Endocrine Disorders: Biological, Clinical, and Nonclinical Factors—An Endocrine Society Scientific Statement
Golden, S. H., Brown, A., Cauley, J. A., Chin, M. H., Gary-Webb, T. L., Kim, C., Sosa, J. A., Sumner, A. E., & Anton, B. (2012) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2012-2043 · Cited by 405
Self-citation
The Triglyceride-to-HDL Cholesterol Ratio
Giannini, C., Santoro, N., Caprio, S., Kim, G. J., Lartaud, D., Shaw, M. M., Pierpont, B. M., & Weiss, R. (2011) · Diabetes Care · doi:10.2337/dc10-2234 · Cited by 362
Optimal cut-off values for the homeostasis model assessment of insulin resistance (HOMA-IR) and pre-diabetes screening: Developments in research and prospects for the future
Tang, Q., Li, X., Song, P., & Xu, L. (2015) · Drug Discoveries & Therapeutics · doi:10.5582/ddt.2015.01207 · Cited by 286
An examination of sex and racial/ethnic differences in the metabolic syndrome among adults: A confirmatory factor analysis and a resulting continuous severity score
Gurka, M. J., Lilly, C. L., Oliver, M. N., & DeBoer, M. D. (2013) · Metabolism · doi:10.1016/j.metabol.2013.10.006 · Cited by 269
Does the association of the triglyceride to high-density lipoprotein cholesterol ratio with fasting serum insulin differ by race/ethnicity?
Li, C., Ford, E. S., Meng, Y., Mokdad, A. H., & Reaven, G. M. (2008) · Cardiovascular Diabetology · doi:10.1186/1475-2840-7-4 · Cited by 232
Optimal cut-off of homeostasis model assessment of insulin resistance (HOMA-IR) for the diagnosis of metabolic syndrome: third national surveillance of risk factors of non-communicable diseases in Iran (SuRFNCD-2007)
Esteghamati, A., Ashraf, H., Khalilzadeh, O., Zandieh, A., Nakhjavani, M., Rashidi, A., Haghazali, M., & Asgari, F. (2010) · Nutrition & Metabolism · doi:10.1186/1743-7075-7-26 · Cited by 212
Cardiovascular Disease Risk Factors in Youth With Diabetes Mellitus
Maahs, D. M., Daniels, S. R., de Ferranti, S. D., Dichek, H. L., Flynn, J. T., Goldstein, B. I., Kelly, A. S., Nadeau, K. J., Martyn-Nemeth, P. A., Osganian, S. K., et al. (2014) · Circulation · doi:10.1161/cir.0000000000000094 · Cited by 199
Variation in the Calculation of Allostatic Load Score: 21 Examples from NHANES
Duong, M. T., Bingham, B. A., Aldana, P. C., Chung, S. T., & Sumner, A. E. (2016) · Journal of Racial and Ethnic Health Disparities · doi:10.1007/s40615-016-0246-8 · Cited by 194
Self-citation
Cardiometabolic Benefits of Intermittent Fasting
Varady, K. A., Cienfuegos, S., Ezpeleta, M., & Gabel, K. (2021) · Annual Review of Nutrition · doi:10.1146/annurev-nutr-052020-041327 · Cited by 186
Global Epidemiology of Nonalcoholic Fatty Liver Disease and Perspectives on US Minority Populations
Sherif, Z. A., Saeed, A., Ghavimi, S., Nouraie, M. S., Laiyemo, A. O., Brim, H., & Ashktorab, H. (2016) · Digestive Diseases and Sciences · doi:10.1007/s10620-016-4143-0 · Cited by 183
Insulin resistance determined by Homeostasis Model Assessment (HOMA) and associations with metabolic syndrome among Chinese children and teenagers
Yin, J., Li, M., Xu, L., Wang, Y., Cheng, H., Zhao, X., & Mi, J. (2013) · Diabetology & Metabolic Syndrome · doi:10.1186/1758-5996-5-71 · Cited by 177
Ethnic Differences in Triglyceride Levels and High-Density Lipoprotein Lead to Underdiagnosis of the Metabolic Syndrome in Black Children and Adults
Sumner, A. E. (2009) · The Journal of Pediatrics · doi:10.1016/j.jpeds.2009.04.049 · Cited by 166
Self-citation
A confirmatory factor analysis of the metabolic syndrome in adolescents: an examination of sex and racial/ethnic differences
Gurka, M. J., Lilly, C. L., Sun, S. S., & DeBoer, M. D. (2012) · Cardiovascular Diabetology · doi:10.1186/1475-2840-11-128 · Cited by 166
Allostatic Load: Importance, Markers, and Score Determination in Minority and Disparity Populations
Rodriquez, E. J., Kim, E. N., Sumner, A. E., Nápoles, A. M., & Pérez‐Stable, E. J. (2019) · Journal of Urban Health · doi:10.1007/s11524-019-00345-5 · Cited by 167
Self-citation
Lipid accumulation product: a powerful marker of metabolic syndrome in healthy population
Taverna, M. J., Martínez-Larrad, M. T., Frechtel, G. D., & Serrano‐Ríos, M. (2011) · European Journal of Endocrinology · doi:10.1530/eje-10-1039 · Cited by 155
Effects of alternate-day fasting or daily calorie restriction on body composition, fat distribution, and circulating adipokines: Secondary analysis of a randomized controlled trial
Trepanowski, J. F., Kroeger, C. M., Barnosky, A., Klempel, M. C., Bhutani, S., Hoddy, K. K., Rood, J. C., Ravussin, É., & Varady, K. A. (2017) · Clinical Nutrition · doi:10.1016/j.clnu.2017.11.018 · Cited by 152
Differential Effects of Alternate-Day Fasting Versus Daily Calorie Restriction on Insulin Resistance
Gabel, K., Kroeger, C. M., Trepanowski, J. F., Hoddy, K. K., Cienfuegos, S., Kalam, F., & Varady, K. A. (2019) · Obesity · doi:10.1002/oby.22564 · Cited by 144
Non‐alcoholic fatty liver disease as an independent manifestation of the metabolic syndrome: Results of a US national survey in three ethnic groups
Smits, M. M., Ioannou, G. N., Boyko, E. J., & Utzschneider, K. M. (2013) · Journal of Gastroenterology and Hepatology · doi:10.1111/jgh.12106 · Cited by 142
Nonalcoholic Steatohepatitis and Hepatic Fibrosis in HIV-1–Monoinfected Adults With Elevated Aminotransferase Levels on Antiretroviral Therapy
Morse, C. G., McLaughlin, M. E., Matthews, L., Proschan, M. A., Thomas, F., Gharib, A. M., Abu-Asab, M. S., Orenstein, A., Engle, R. E., Hu, X., et al. (2015) · Clinical Infectious Diseases · doi:10.1093/cid/civ101 · Cited by 130
Cardiovascular Risk Factors After Adolescent Bariatric Surgery
Michalsky, M. P., Inge, T. H., Jenkins, T. M., Xie, C., Courcoulas, A., Helmrath, M., Brandt, M. L., Harmon, C. M., Chen, M., Dixon, J. B., et al. (2018) · Pediatrics · doi:10.1542/peds.2017-2485 · Cited by 124
Racial/ethnic discrepancies in the metabolic syndrome begin in childhood and persist after adjustment for environmental factors
Walker, S. E., Gurka, M. J., Oliver, M. N., Johns, D. W., & DeBoer, M. D. (2010) · Nutrition Metabolism and Cardiovascular Diseases · doi:10.1016/j.numecd.2010.05.006 · Cited by 126
Optimal Cut-Offs of Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) to Identify Dysglycemia and Type 2 Diabetes Mellitus: A 15-Year Prospective Study in Chinese
Lee, C. H., Shih, A. Z. L., Woo, Y. C., Fong, C. H. Y., Leung, O. Y., Janus, E., Cheung, B. M. Y., & Lam, K. S. L. (2016) · PLOS ONE · doi:10.1371/journal.pone.0163424 · Cited by 114
The Cut-off Values of Triglycerides and Glucose Index for Metabolic Syndrome in American and Korean Adolescents
Moon, S., Park, J.-S., & Ahn, Y.-H. (2017) · Journal of Korean Medical Science · doi:10.3346/jkms.2017.32.3.427 · Cited by 118
Insulin resistance index (HOMA-IR) levels in a general adult population: Curves percentile by gender and age. The EPIRCE study
Díz, P., Otero-González, A., Rodríguez‐Álvarez, M. X., Gudé, F., Cadarso-Suárez, C., López, F. J. G., & de Francisco, A. (2011) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2011.07.015 · Cited by 114
The triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio as a predictor of insulin resistance, β-cell function, and diabetes in Hispanics and African Americans
Young, K. A., Maturu, A., Lorenzo, C., Langefeld, C. D., Wagenknecht, L. E., Chen, Y. I., Taylor, K. D., Rotter, J. I., Norris, J. M., & Rasouli, N. (2018) · Journal of Diabetes and its Complications · doi:10.1016/j.jdiacomp.2018.10.018 · Cited by 111
Low HDL-cholesterol with normal triglyceride levels is the most common lipid pattern in West Africans and African Americans with Metabolic Syndrome: Implications for cardiovascular disease prevention
Sumner, A. E., Zhou, J., Doumatey, A. P., Imoisili, O. E., Amoah, A. G. B., Acheampong, J. W., Oli, J., Johnson, T., Adebamowo, C., & Rotimi, C. N. (2010) · Global Heart · doi:10.1016/j.cvdpc.2010.07.003 · Cited by 106
Self-citation
Triglyceride-Rich Lipoprotein Remnants and Cardiovascular Disease
Duran, E. K., & Pradhan, A. D. (2020) · Clinical Chemistry · doi:10.1093/clinchem/hvaa296 · Cited by 108
The Triglyceride Paradox in People of African Descent
Yu, S. S. K., Castillo, D. C., Courville, A. B., & Sumner, A. E. (2012) · Metabolic Syndrome and Related Disorders · doi:10.1089/met.2011.0108 · Cited by 111
Self-citation
Clinical utility of metabolic syndrome severity scores: considerations for practitioners
DeBoer, M. D., & Gurka, M. J. (2017) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s101624 · Cited by 113
Triglycerides to high-density lipoprotein–cholesterol ratio, glycemic control and cardiovascular risk in obese patients with type 2 diabetes
Quispe, R., Martin, S. S., & Jones, S. R. (2016) · Current Opinion in Endocrinology Diabetes and Obesity · doi:10.1097/med.0000000000000241 · Cited by 97
Bedtime Variability and Metabolic Health in Midlife Women: The SWAN Sleep Study
Taylor, B. J., Matthews, K. A., Hasler, B. P., Roecklein, K. A., Kline, C. E., Buysse, D. J., Kravitz, H. M., Tiani, A. G., Harlow, S. D., & Hall, M. H. (2016) · SLEEP · doi:10.5665/sleep.5464 · Cited by 98
Neck Circumference Is a Predictor of Metabolic Syndrome and Obstructive Sleep Apnea in Short-Sleeping Obese Men and Women
Cizza, G., de Jonge, L., Piaggi, P., Mattingly, M., Zhao, X., Lucassen, E. A., Rother, K. I., Sumner, A. E., Csákó, G., & Study, F. T. N. S. E. (2014) · Metabolic Syndrome and Related Disorders · doi:10.1089/met.2013.0093 · Cited by 98
Self-citation
Use of a Metabolic Syndrome Severity Z Score to Track Risk During Treatment of Prediabetes: An Analysis of the Diabetes Prevention Program
DeBoer, M. D., Filipp, S. L., & Gurka, M. J. (2018) · Diabetes Care · doi:10.2337/dc18-1079 · Cited by 92
Hemodynamic Deterioration of Surgically Implanted Bioprosthetic Aortic Valves
Salaün, E., Mahjoub, H., Dahou, A., Mathieu, P., Larose, É., Després, J., Rodés‐Cabau, J., Arsenault, B. J., Puri, R., Clavel, M.-A. A., et al. (2018) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2018.04.064 · Cited by 93
Determinants of Insulin‐resistant Phenotypes in Normal‐weight and Obese Black African Women
Jennings, C., Lambert, E. V., Collins, M., Joffe, Y. T., Levitt, N. S., & Goedecke, J. H. (2008) · Obesity · doi:10.1038/oby.2008.233 · Cited by 90
Optimal Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) Cut-Offs: A Cross-Sectional Study in the Czech Population
Horáková, D., Štěpánek, L., Janout, V., Janoutová, J., Pastucha, D., Kollárová, H., Petráková, A., Štěpánek, L., Husár, R., & Martiník, K. (2019) · Medicina · doi:10.3390/medicina55050158 · Cited by 87
“Moreover, there are both ethnic differences in cut-offs and gender variations [3,13].”
Background
Differences in Systemic Oxidative Stress Based on Race and the Metabolic Syndrome: The Morehouse and Emory Team up to Eliminate Health Disparities (META-Health) Study
Morris, A. A., Zhao, L., Patel, R. S., Jones, D. P., Ahmed, Y. A., Stoyanova, N., Gibbons, G. H., Vaccarino, V., Din‐Dzietham, R., & Quyyumi, A. A. (2012) · Metabolic Syndrome and Related Disorders · doi:10.1089/met.2011.0117 · Cited by 90
Impact of race/ethnicity on insulin resistance and hypertriglyceridaemia
Raygor, V., Abbasi, F., Lazzeroni, L. C., Kim, S. H., Ingelsson, E., Reaven, G. M., & Knowles, J. W. (2019) · Diabetes and Vascular Disease Research · doi:10.1177/1479164118813890 · Cited by 88
Ethnic differences in serum lipoproteins and their determinants in South African women.
Goedecke, J., Utzschneider, K., Faulenbach, M., Rizzo, M., Berneis, K., Spinas, G., Dave, J., Levitt, N., Lambert, E., Olsson, T., et al. (2010) · Metabolism: Clinical and Experimental · doi:10.1016/j.metabol.2009.12.018 · Cited by 87
Worse Cardiometabolic Health in African Immigrant Men than African American Men: Reconsideration of the Healthy Immigrant Effect
O'Connor, M. Y., Thoreson, C. K., Ricks, M., Courville, A. B., Thomas, F., Yao, J., Katzmarzyk, P. T., & Sumner, A. E. (2014) · Metabolic Syndrome and Related Disorders · doi:10.1089/met.2014.0026 · Cited by 87
Self-citation
Optimal threshold of homeostasis model assessment for insulin resistance in an Iranian population: The implication of metabolic syndrome to detect insulin resistance
Esteghamati, A., Ashraf, H., Esteghamati, A.-R., Meysamie, A., Khalilzadeh, O., Nakhjavani, M., & Abbasi, M. (2009) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2009.03.005 · Cited by 77
The Relationship between Dietary Fatty Acids and Inflammatory Genes on the Obese Phenotype and Serum Lipids
Joffe, Y. T., Collins, M., & Goedecke, J. H. (2013) · Nutrients · doi:10.3390/nu5051672 · Cited by 75
The relationship of oxidative stress, adiposity and metabolic risk factors in healthy B lack and W hite A merican youth
Warolin, J., Coenen, K. R., Kantor, J., Whitaker, L., Wang, L., Acra, S. A., Roberts, L. J., & Buchowski, M. S. (2013) · Pediatric Obesity · doi:10.1111/j.2047-6310.2012.00135.x · Cited by 76
Associations between the number of natural teeth and metabolic syndrome in adults
Zhu, Y., & Hollis, J. (2015) · Journal Of Clinical Periodontology · doi:10.1111/jcpe.12361 · Cited by 69
Racial/ethnic and sex differences in the relationship between uric acid and metabolic syndrome in adolescents: an analysis of National Health and Nutrition Survey 1999-2006
DeBoer, M. D., Dong, L., & Gurka, M. J. (2011) · Metabolism · doi:10.1016/j.metabol.2011.09.003 · Cited by 69
Use of BMI as the marker of adiposity in a metabolic syndrome severity score: Derivation and validation in predicting long-term disease outcomes
Gurka, M. J., Filipp, S. L., Musani, S. K., Sims, M., & DeBoer, M. D. (2018) · Metabolism · doi:10.1016/j.metabol.2018.01.015 · Cited by 67
The Triglyceride/High-Density Lipoprotein Cholesterol Ratio Fails to Predict Insulin Resistance in African-American Women: An Analysis of Jackson Heart Study
Sumner, A. E., Harman, J. L., Buxbaum, S. G., Miller, B. V., Tambay, A. V., Wyatt, S. B., Taylor, H. A., Rotimi, C. N., & Sarpong, D. F. (2010) · Metabolic Syndrome and Related Disorders · doi:10.1089/met.2010.0028 · Cited by 66
Self-citation
Ethnicity, obesity and the metabolic syndrome: implications on assessing risk and targeting intervention
DeBoer, M. D. (2011) · Expert Review of Endocrinology & Metabolism · doi:10.1586/eem.11.17 · Cited by 69
Associations between TG/HDL ratio and insulin resistance in the US population: a cross-sectional study
Gong, R., Luo, G., Wang, M., Ma, L., Sun, S., & Wei, X. (2021) · Endocrine Connections · doi:10.1530/ec-21-0414 · Cited by 65
A Mediterranean diet supplemented with dairy foods improves markers of cardiovascular risk: results from the MedDairy randomized controlled trial
Wade, A. T., Davis, C. R., Dyer, K. A., Hodgson, J. M., Woodman, R. J., & Murphy, K. J. (2018) · The American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqy207 · Cited by 58
Efficacy and Safety of Semaglutide for Type 2 Diabetes by Race and Ethnicity: A Post Hoc Analysis of the SUSTAIN Trials
Desouza, C. V., Cariou, B., Garg, S. K., Lausvig, N. L., Navarria, A., & Fonseca, V. A. (2019) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgz072 · Cited by 59
Residual Hypertriglyceridemia and Estimated Atherosclerotic Cardiovascular Disease Risk by Statin Use in U.S. Adults With Diabetes: National Health and Nutrition Examination Survey 2007–2014
Fan, W., Philip, S., Granowitz, C. B., Toth, P. P., & Wong, N. D. (2019) · Diabetes Care · doi:10.2337/dc19-0501 · Cited by 58
The Prevalence and Clinical Correlates of Nonalcoholic Fatty Liver Disease (NAFLD) in African Americans: The Multiethnic Study of Atherosclerosis (MESA)
Foster, T., Anania, F. A., Li, D., Katz, R., & Budoff, M. J. (2013) · Digestive Diseases and Sciences · doi:10.1007/s10620-013-2652-7 · Cited by 53
Unmet Needs in Hispanic/Latino Patients with Type 2 Diabetes Mellitus
Cusi, K. J., & Ocampo, G. L. (2011) · The American Journal of Medicine · doi:10.1016/j.amjmed.2011.07.017 · Cited by 53
Sex Differences in Cardiovascular Disease Risk of Ghanaian‐ and Nigerian‐Born West African Immigrants in the United States: The Afro‐Cardiac Study
Commodore-Mensah, Y. Y., Hill, M., Allen, J. K., Cooper, L. A., Blumenthal, R. S., Agyemang, C. O., & Himmelfarb, C. D. (2016) · Journal of the American Heart Association · doi:10.1161/jaha.115.002385 · Cited by 59
Insulin Resistance Distribution and Cut-Off Value in Koreans from the 2008-2010 Korean National Health and Nutrition Examination Survey
Yun, K.-J., Han, K., Kim, M. K., Park, Y., Baek, K., Song, K., & Kwon, H. (2016) · PLoS ONE · doi:10.1371/journal.pone.0154593 · Cited by 54
Prediction of Incident Diabetes in the Jackson Heart Study Using High-Dimensional Machine Learning
Casanova, R., Saldana, S. J., Simpson, S. L., LACY, M. E., Subauste, A. R., Blackshear, C. T., Wagenknecht, L. E., & Bertoni, A. G. (2016) · PLoS ONE · doi:10.1371/journal.pone.0163942 · Cited by 56
Ethnic differences in the association between lipid metabolism genes and lipid levels in black and white South African women
Ellman, N., Keswell, D., Collins, M., Tootla, M., & Goedecke, J. H. (2015) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2015.03.027 · Cited by 55
Diagnosis of the Metabolic Syndrome Is Associated With Disproportionately High Levels of High-Sensitivity C-Reactive Protein in Non–Hispanic Black Adolescents
DeBoer, M. D., Gurka, M. J., & Sumner, A. E. (2011) · Diabetes Care · doi:10.2337/dc10-1877 · Cited by 51
Self-citation
Carotid Artery Intima-Media Thickness and Subclinical Atherosclerosis in Women With Remote Histories of Preeclampsia: Results From a Rochester Epidemiology Project-Based Study and Meta-analysis
Garovic, V. D., Milic, N. M., Weissgerber, T. L., Mielke, M. M., Bailey, K. R., Lahr, B. D., Jayachandran, M., White, W., Hodis, H. N., & Miller, V. M. (2017) · Mayo Clinic Proceedings · doi:10.1016/j.mayocp.2017.05.030 · Cited by 51
Higher Acute Insulin Response to Glucose May Determine Greater Free Fatty Acid Clearance in African-American Women
Chow, C. C., Periwal, V., Csako, G., Ricks, M., Courville, A. B., Miller, B. V., Vega, G. L., & Sumner, A. E. (2011) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2011-0532 · Cited by 50
Self-citation
Ethnic and Sex Differences in Fatty Liver on Cardiac Computed Tomography: The Multi-Ethnic Study of Atherosclerosis
Tota-Maharaj, R., Blaha, M. J., Zeb, I., Katz, R., Blankstein, R., Blumenthal, R. S., Budoff, M. J., & Nasir, K. (2014) · Mayo Clinic Proceedings · doi:10.1016/j.mayocp.2013.12.015 · Cited by 48
Racial/Ethnic and Sex Differences in the Ability of Metabolic Syndrome Criteria to Predict Elevations in Fasting Insulin Levels in Adolescents
DeBoer, M. D., Dong, L., & Gurka, M. J. (2011) · The Journal of Pediatrics · doi:10.1016/j.jpeds.2011.05.023 · Cited by 47
Determining the Waist Circumference in African Americans Which Best Predicts Insulin Resistance
Sumner, A. E., Sen, S., Ricks, M., Frempong, B. A., Sebring, N. G., & Kushner, H. (2008) · Obesity · doi:10.1038/oby.2008.11 · Cited by 46
Self-citation
Metabolic Syndrome Does Not Detect Metabolic Risk in African Men Living in the U.S.
Ukegbu, U., Castillo, D. C., Knight, M. G., Ricks, M., Miller, B. V., Onumah, B. M., & Sumner, A. E. (2011) · Diabetes Care · doi:10.2337/dc11-1055 · Cited by 45
Self-citation
Arm crank ergometry improves cardiovascular disease risk factors and community mobility independent of body composition in high motor complete spinal cord injury
Bresnahan, J. J., Farkas, G. J., Clasey, J. L., Yates, J. W., & Gater, D. R. (2018) · Journal of Spinal Cord Medicine · doi:10.1080/10790268.2017.1412562 · Cited by 48
Metabolic syndrome and benign prostatic hyperplasia: association or coincidence?
Rył, A., Rotter, I., Miazgowski, T., Słojewski, M., Dołęgowska, B., Lubkowska, A., & Laszczyńska, M. (2015) · Diabetology & Metabolic Syndrome · doi:10.1186/s13098-015-0089-1 · Cited by 44
Ethnic Differences in the Link Between Insulin Resistance and Elevated ALT
DeBoer, M. D., Wiener, R. C., Barnes, B. H., & Gurka, M. J. (2013) · PEDIATRICS · doi:10.1542/peds.2012-3584 · Cited by 42
Impact of Longitudinal Changes in Metabolic Syndrome Status over 2 Years on 10-Year Incident Diabetes Mellitus
Huh, J. H., Ahn, S. G., Kim, Y. I., Go, T., Sung, K., Choi, J. H., Koh, K. K., & Kim, J. (2019) · Diabetes & Metabolism Journal · doi:10.4093/dmj.2018.0111 · Cited by 40
Manipulation of intestinal microbiome as potential treatment for insulin resistance and type 2 diabetes
Ghorbani, Y., Schwenger, K. J. P., & Allard, J. P. (2021) · European Journal of Nutrition · doi:10.1007/s00394-021-02520-4 · Cited by 42
New markers in metabolic syndrome
Son, D., Ha, H., Park, H., Kim, H.-Y., & Lee, Y. (2022) · Advances in clinical chemistry · doi:10.1016/bs.acc.2022.06.002 · Cited by 39
The Association between the History of Cardiovascular Diseases and Chronic Low Back Pain in South Koreans: A Cross-Sectional Study
Ha, I., Lee, J., Kim, M.-R., Kim, H.-J., & Shin, J. (2014) · PLoS ONE · doi:10.1371/journal.pone.0093671 · Cited by 39
Ethnic distinctions in the pathophysiology of type 2 diabetes: a focus on black African-Caribbean populations
Goff, L. M., Ladwa, M., Hakim, O., & Bello, O. (2019) · Proceedings of The Nutrition Society · doi:10.1017/s0029665119001034 · Cited by 39
Hypertriglyceridaemia: an update
Wierzbicki, A. S., Kim, E. J., Esan, O., & Ramachandran, R. (2022) · Journal of Clinical Pathology · doi:10.1136/jclinpath-2021-207719 · Cited by 42
Effect of Low-Dose Oral Contraceptives on Metabolic Risk Factors in African-American Women
Frempong, B. A., Ricks, M., Sen, S., & Sumner, A. E. (2008) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2007-2599 · Cited by 39
Self-citation
A metabolic syndrome severity score to estimate risk in adolescents and adults: current evidence and future potential
Lee, A. M., Gurka, M. J., & DeBoer, M. D. (2016) · Expert Review of Cardiovascular Therapy · doi:10.1586/14779072.2016.1143360 · Cited by 39
Association Between Gestational Diabetes and Incident Maternal CKD: The Coronary Artery Risk Development in Young Adults (CARDIA) Study
Dehmer, E. W., Phadnis, M. A., Gunderson, E. P., Lewis, C. E., Bibbins-Domingo, K. B., Engel, S. M., Funk, M. J., Kramer, H., Kshirsagar, A. V., & HEISS, G. M. (2017) · American Journal of Kidney Diseases · doi:10.1053/j.ajkd.2017.08.015 · Cited by 37
The Association of Dietary Choline and Betaine With the Risk of Type 2 Diabetes: The Atherosclerosis Risk in Communities (ARIC) Study
Dibaba, D. T., Johnson, K., Kucharska‐Newton, A., Meyer, K. A., Zeisel, S. H., & Bidulescu, A. (2020) · Diabetes Care · doi:10.2337/dc20-0733 · Cited by 38
Impact of Gut Microbiota and SCFAs in the Pathogenesis of PCOS and the Effect of Metformin Therapy
Kukaev, E., Дмитриевна, К. Е., Tokareva, A., Rimskaya, E. N., Starodubtseva, N. L., Евгеньевна, Ч. Г., Priputnevich, T. V., Евгеньевич, Ф. В., & Sukhikh, G. T. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms251910636 · Cited by 43
Distribution of HOMA-IR in a population-based cohort and proposal for reference intervals
Matli, B., Schulz, A., Koeck, T., Falter, T., Lotz, J., Rossmann, H., Pfeiffer, N., Beutel, M. E., Münzel, T. F., Strauch, K., et al. (2021) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm-2021-0643 · Cited by 37
Evaluation of quantitative models of the effect of insulin on lipolysis and glucose disposal
Periwal, V., Chow, C. C., Bergman, R. N., Ricks, M., Vega, G. L., & Sumner, A. E. (2008) · American Journal of Physiology-Regulatory, Integrative and Comparative Physiology · doi:10.1152/ajpregu.90426.2008 · Cited by 37
Self-citation
Effects of different degrees of insulin resistance on endothelial function in obese adults undergoing alternate day fasting
Hoddy, K. K., Bhutani, S., Phillips, S. A., & Varady, K. A. (2016) · Nutrition and Healthy Aging · doi:10.3233/nha-1611 · Cited by 36
Assessing Baseline and Temporal Changes in Cardiometabolic Risk Using Metabolic Syndrome Severity and Common Risk Scores
Gurka, M. J., Filipp, S. L., Pearson, T. A., & DeBoer, M. D. (2018) · Journal of the American Heart Association · doi:10.1161/jaha.118.009754 · Cited by 36
Underdiagnosis of Metabolic Syndrome in Non-Hispanic Black Adolescents: A Call for Ethnic-Specific Criteria
DeBoer, M. D. (2010) · Current Cardiovascular Risk Reports · doi:10.1007/s12170-010-0104-x · Cited by 36
Assessing the added predictive ability of a metabolic syndrome severity score in predicting incident cardiovascular disease and type 2 diabetes: the Atherosclerosis Risk in Communities Study and Jackson Heart Study
Guo, Y. M., Musani, S. K., Sims, M., Pearson, T. A., DeBoer, M. D., & Gurka, M. J. (2018) · Diabetology & Metabolic Syndrome · doi:10.1186/s13098-018-0344-3 · Cited by 35
The atypical presentation of the metabolic syndrome components in black African women: the relationship with insulin resistance and the influence of regional adipose tissue distribution
Jennings, C., Lambert, E. V., Collins, M., Levitt, N. S., & Goedecke, J. H. (2009) · Metabolism · doi:10.1016/j.metabol.2008.09.007 · Cited by 35
The relationship of body fat to metabolic disease: Influence of sex and ethnicity
Sumner, A. E. (2008) · Gender Medicine · doi:10.1016/j.genm.2008.11.003 · Cited by 34
Self-citation
The threshold value of homeostasis model assessment for insulin resistance in Qazvin Metabolic Diseases Study (QMDS): assessment of metabolic syndrome.
Ziaee, A., Esmailzadehha, N., Oveisi, S., Ghorbani, A., & Ghanei, L. (2015) · PubMed · Cited by 34
The association of hypertriglyceridemic waist phenotype with type 2 diabetes mellitus among individuals with first relative history of diabetes.
Amini, M., Esmaillzadeh, A., Sadeghi, M., Mehvarifar, N., Amini, M., & Zare, M. (2011) · Europe PMC (PubMed Central) · Cited by 34
A functional nonsynonymous toll-like receptor 4 gene polymorphism is associated with metabolic syndrome, surrogates of insulin resistance, and syndromes of lipid accumulation
Steinhardt, A. P., Aranguren, F., Tellechea, M. L., Rosso, L. A. G., Brites, F. D., Martínez-Larrad, M. T., Serrano‐Ríos, M., Frechtel, G. D., & Taverna, M. J. (2009) · Metabolism · doi:10.1016/j.metabol.2009.09.015 · Cited by 33
Prevalence of insulin resistance in Korean women with polycystic ovary syndrome according to various homeostasis model assessment for insulin resistance cutoff values
Kim, J., Hwang, K. R., Oh, S. H., Chae, S. J., Yoon, S. H., & Choi, Y. M. (2019) · Fertility and Sterility · doi:10.1016/j.fertnstert.2019.06.035 · Cited by 34
The triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio as a predictor of β-cell function in African American women
Maturu, A., DeWitt, P. E., Kern, P. A., & Rasouli, N. (2015) · Metabolism · doi:10.1016/j.metabol.2015.01.004 · Cited by 32
Homeostasis model assessment of insulin resistance in a general adult population in Korea: additive association of sarcopenia and obesity with insulin resistance
Kwon, S. S., Lee, S., Lee, Y., Lim, J., & Kim, J. (2016) · Clinical Endocrinology · doi:10.1111/cen.13233 · Cited by 33

Authors: Sumner, A. E., & Cowie, C. C.
Affiliations: National Institutes of Health (US)
Corresponding author: Sumner, Anne E.
ORCID: Sumner, Anne E.
Cowie, Catherine C.
Venue: Atherosclerosis
Publisher: Elsevier BV
Published: 2008-02
Volume: 196
Issue: 2
Pages: 696-703
ISSN: 0021-9150 (ISSN-L)
DOI: 10.1016/j.atherosclerosis.2006.12.018
OpenAlex: W2079519649
Cited by: 273
References: 38
Citations by year: 2026: 6 · 2025: 14 · 2024: 22 · 2023: 7 · 2022: 16 · 2021: 13 · 2020: 13 · 2019: 16 · 2018: 17 · 2017: 11 · 2016: 20 · 2015: 18 · 2014: 10 · 2013: 18 · 2012: 13
FWCI: 9.03
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations: Atherosclerosis (publishedVersion)
PubMed (publishedVersion)
Funders: University of Minnesota
National Institutes of Health
National Institute of Diabetes and Digestive and Kidney Diseases (N01-DK-1-2478)
Topics: Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Lipid metabolism and disorders
Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diet, Metabolism, and Disease
Keywords: insulin resistance, hypertriglyceridemia, ethnic differences, metabolic syndrome, Mexican Americans, non-Hispanic blacks, non-Hispanic whites, HOMA
MeSH terms: Adult, Cardiovascular Diseases, Diabetes Mellitus, Type 2, Female, Health Surveys, Humans, Insulin Resistance, Male, Middle Aged, Nutrition Surveys, Regression Analysis, Risk, Triglycerides, Hypertriglyceridemia, Cohort Studies, Mexican Americans, Metabolic Syndrome, Black People, White People, Waist-Hip Ratio, Overweight

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Ethnic differences in the ability of triglyceride levels to identify insulin resistance

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks