Skip to main content
Top
Published in: Cardiovascular Diabetology 1/2024

Open Access 01-12-2024 | Coronary Heart Disease | Research

The association between triglyceride-glucose index and its combination with obesity indicators and cardiovascular disease: NHANES 2003–2018

Authors: Keke Dang, Xuanyang Wang, Jinxia Hu, Yuntao Zhang, Licheng Cheng, Xiang Qi, Lin Liu, Zhu Ming, Xinmiao Tao, Ying Li

Published in: Cardiovascular Diabetology | Issue 1/2024

Login to get access

Abstract

Background

In the American population, the relationship between the triglyceride-glucose (TyG) index and TYG combined with indicators of obesity and cardiovascular disease (CVD) and its mortality has been less well studied.

Methods

This cross-sectional study included 11,937 adults from the National Health and Nutrition Examination Survey (NHANES) 2003–2018. Cox proportional hazards model, binary logistic regression analyses, restricted cubic spline (RCS), and receiver operating characteristic (ROC) were used to analyze the relationship between TyG and its combined obesity-related indicators and CVD and its mortality. Mediation analysis explored the mediating role of glycated hemoglobin and insulin in the above relationships.

Results

In this study, except for no significant association between TyG and CVD mortality, TyG, TyG-WC, TyG-WHtR, and TyG-BMI were significantly and positively associated with CVD and CVD mortality. TyG-WHtR is the strongest predictor of CVD mortality (HR 1.66, 95% CI 1.21–2.29). The TyG index correlated better with the risk of coronary heart disease (OR 2.52, 95% CI 1.66–3.83). TyG-WC correlated best with total CVD (OR 2.37, 95% CI 1.77–3.17), congestive heart failure (OR 2.14, 95% CI 1.31–3.51), and angina pectoris (OR 2.38, 95% CI 1.43–3.97). TyG-WHtR correlated best with myocardial infarction (OR 2.24, 95% CI 1.45–3.44). RCS analyses showed that most of the above relationships were linear (P-overall < 0.0001, P-nonlinear > 0.05). Otherwise, ROC curves showed that TyG-WHtR and TyG-WC had more robust diagnostic efficacy than TyG. In mediation analyses, glycated hemoglobin mediated in all the above relationships and insulin-mediated in partial relationships.

Conclusions

TyG-WC and TyG-WtHR enhance CVD mortality prediction, diagnostic efficacy of CVD and its mortality, and correlation with some CVD over and above the current hottest TyG. TyG-WC and TyG-WtHR are expected to become more effective metrics for identifying populations at early risk of cardiovascular disease and improve risk stratification.
Appendix
Available only for authorised users
Literature
1.
go back to reference Vaduganathan M, Mensah GA, Turco JV, Fuster V, Roth GA. The global burden of cardiovascular diseases and risk. J Am Coll Cardiol. 2022;80(25):2361–71.PubMedCrossRef Vaduganathan M, Mensah GA, Turco JV, Fuster V, Roth GA. The global burden of cardiovascular diseases and risk. J Am Coll Cardiol. 2022;80(25):2361–71.PubMedCrossRef
2.
go back to reference Roth GA, Mensah GA, Johnson CO, Addolorato G, Ammirati E, Baddour LM, Barengo NC, Beaton AZ, Benjamin EJ, Benziger CP, et al. Global burden of cardiovascular diseases and risk factors, 1990–2019. J Am Coll Cardiol. 2020;76(25):2982–3021.PubMedPubMedCentralCrossRef Roth GA, Mensah GA, Johnson CO, Addolorato G, Ammirati E, Baddour LM, Barengo NC, Beaton AZ, Benjamin EJ, Benziger CP, et al. Global burden of cardiovascular diseases and risk factors, 1990–2019. J Am Coll Cardiol. 2020;76(25):2982–3021.PubMedPubMedCentralCrossRef
4.
go back to reference Simental-Mendía LE, Rodríguez-Morán M, Guerrero-Romero F. The product of fasting glucose and triglycerides as surrogate for identifying insulin resistance in apparently healthy subjects. Metab Syndr Relat Disord. 2008;6(4):299–304.PubMedCrossRef Simental-Mendía LE, Rodríguez-Morán M, Guerrero-Romero F. The product of fasting glucose and triglycerides as surrogate for identifying insulin resistance in apparently healthy subjects. Metab Syndr Relat Disord. 2008;6(4):299–304.PubMedCrossRef
5.
go back to reference Faerch K, Vaag A, Holst J, Hansen T, Jørgensen T, Borch-Johnsen K. Natural history of insulin sensitivity and insulin secretion in the progression from normal glucose tolerance to impaired fasting glycemia and impaired glucose tolerance: the Inter99 study. Diabetes Care. 2009;32(3):439–44.PubMedPubMedCentralCrossRef Faerch K, Vaag A, Holst J, Hansen T, Jørgensen T, Borch-Johnsen K. Natural history of insulin sensitivity and insulin secretion in the progression from normal glucose tolerance to impaired fasting glycemia and impaired glucose tolerance: the Inter99 study. Diabetes Care. 2009;32(3):439–44.PubMedPubMedCentralCrossRef
6.
go back to reference DeFronzo R, Ferrannini E, Groop L, Henry R, Herman W, Holst J, Hu F, Kahn C, Raz I, Shulman G, et al. Type 2 diabetes mellitus. Nat Rev Dis Primers. 2015;1:15019.PubMedCrossRef DeFronzo R, Ferrannini E, Groop L, Henry R, Herman W, Holst J, Hu F, Kahn C, Raz I, Shulman G, et al. Type 2 diabetes mellitus. Nat Rev Dis Primers. 2015;1:15019.PubMedCrossRef
8.
go back to reference Hill M, Yang Y, Zhang L, Sun Z, Jia G, Parrish A, Sowers J. Insulin resistance, cardiovascular stiffening and cardiovascular disease. Metab Clin Exp. 2021;119:154766.PubMedCrossRef Hill M, Yang Y, Zhang L, Sun Z, Jia G, Parrish A, Sowers J. Insulin resistance, cardiovascular stiffening and cardiovascular disease. Metab Clin Exp. 2021;119:154766.PubMedCrossRef
10.
go back to reference Ingelsson E, Sundström J, Arnlöv J, Zethelius B, Lind L. Insulin resistance and risk of congestive heart failure. JAMA. 2005;294(3):334–41.PubMedCrossRef Ingelsson E, Sundström J, Arnlöv J, Zethelius B, Lind L. Insulin resistance and risk of congestive heart failure. JAMA. 2005;294(3):334–41.PubMedCrossRef
11.
go back to reference Liang S, Wang C, Zhang J, Liu Z, Bai Y, Chen Z, Huang H, He Y. Triglyceride-glucose index and coronary artery disease: a systematic review and meta-analysis of risk, severity, and prognosis. Cardiovasc Diabetol. 2023;22(1):170.PubMedPubMedCentralCrossRef Liang S, Wang C, Zhang J, Liu Z, Bai Y, Chen Z, Huang H, He Y. Triglyceride-glucose index and coronary artery disease: a systematic review and meta-analysis of risk, severity, and prognosis. Cardiovasc Diabetol. 2023;22(1):170.PubMedPubMedCentralCrossRef
12.
go back to reference Wu Z, Liu L, Wang W, Cui H, Zhang Y, Xu J, Zhang W, Zheng T, Yang J. Triglyceride-glucose index in the prediction of adverse cardiovascular events in patients with premature coronary artery disease: a retrospective cohort study. Cardiovasc Diabetol. 2022;21(1):142.PubMedPubMedCentralCrossRef Wu Z, Liu L, Wang W, Cui H, Zhang Y, Xu J, Zhang W, Zheng T, Yang J. Triglyceride-glucose index in the prediction of adverse cardiovascular events in patients with premature coronary artery disease: a retrospective cohort study. Cardiovasc Diabetol. 2022;21(1):142.PubMedPubMedCentralCrossRef
15.
go back to reference Huang D, Mathurin P, Cortez-Pinto H, Loomba R. Global epidemiology of alcohol-associated cirrhosis and HCC: trends, projections and risk factors. Nat Rev Gastroenterol Hepatol. 2023;20(1):37–49.PubMedCrossRef Huang D, Mathurin P, Cortez-Pinto H, Loomba R. Global epidemiology of alcohol-associated cirrhosis and HCC: trends, projections and risk factors. Nat Rev Gastroenterol Hepatol. 2023;20(1):37–49.PubMedCrossRef
16.
go back to reference Lavie C, Laddu D, Arena R, Ortega F, Alpert M, Kushner R. Healthy weight and obesity prevention: JACC health promotion series. J Am Coll Cardiol. 2018;72(13):1506–31.PubMedCrossRef Lavie C, Laddu D, Arena R, Ortega F, Alpert M, Kushner R. Healthy weight and obesity prevention: JACC health promotion series. J Am Coll Cardiol. 2018;72(13):1506–31.PubMedCrossRef
17.
go back to reference Huang T, Qi Q, Zheng Y, Ley S, Manson J, Hu F, Qi L. Genetic predisposition to central obesity and risk of type 2 diabetes: two independent cohort studies. Diabetes Care. 2015;38(7):1306–11.PubMedPubMedCentralCrossRef Huang T, Qi Q, Zheng Y, Ley S, Manson J, Hu F, Qi L. Genetic predisposition to central obesity and risk of type 2 diabetes: two independent cohort studies. Diabetes Care. 2015;38(7):1306–11.PubMedPubMedCentralCrossRef
19.
go back to reference Iliodromiti S, Celis-Morales C, Lyall D, Anderson J, Gray S, Mackay D, Nelson S, Welsh P, Pell J, Gill J, et al. The impact of confounding on the associations of different adiposity measures with the incidence of cardiovascular disease: a cohort study of 296 535 adults of white European descent. Eur Heart J. 2018;39(17):1514–20.PubMedPubMedCentralCrossRef Iliodromiti S, Celis-Morales C, Lyall D, Anderson J, Gray S, Mackay D, Nelson S, Welsh P, Pell J, Gill J, et al. The impact of confounding on the associations of different adiposity measures with the incidence of cardiovascular disease: a cohort study of 296 535 adults of white European descent. Eur Heart J. 2018;39(17):1514–20.PubMedPubMedCentralCrossRef
20.
go back to reference Wormser D, Kaptoge S, Di Angelantonio E, Wood A, Pennells L, Thompson A, Sarwar N, Kizer J, Lawlor D, Nordestgaard B, et al. Separate and combined associations of body-mass index and abdominal adiposity with cardiovascular disease: collaborative analysis of 58 prospective studies. Lancet. 2011;377(9771):1085–95.PubMedCrossRef Wormser D, Kaptoge S, Di Angelantonio E, Wood A, Pennells L, Thompson A, Sarwar N, Kizer J, Lawlor D, Nordestgaard B, et al. Separate and combined associations of body-mass index and abdominal adiposity with cardiovascular disease: collaborative analysis of 58 prospective studies. Lancet. 2011;377(9771):1085–95.PubMedCrossRef
21.
go back to reference Yan S, Wang D, Jia Y. Comparison of insulin resistance-associated parameters in US adults: a cross-sectional study. Hormones. 2023;22(2):331–41.PubMedCrossRef Yan S, Wang D, Jia Y. Comparison of insulin resistance-associated parameters in US adults: a cross-sectional study. Hormones. 2023;22(2):331–41.PubMedCrossRef
22.
go back to reference Lim J, Kim J, Koo S, Kwon G. Comparison of triglyceride glucose index, and related parameters to predict insulin resistance in Korean adults: an analysis of the 2007–2010 Korean national health and nutrition examination survey. PLoS ONE. 2019;14(3):e0212963.PubMedPubMedCentralCrossRef Lim J, Kim J, Koo S, Kwon G. Comparison of triglyceride glucose index, and related parameters to predict insulin resistance in Korean adults: an analysis of the 2007–2010 Korean national health and nutrition examination survey. PLoS ONE. 2019;14(3):e0212963.PubMedPubMedCentralCrossRef
23.
go back to reference Zhang X, Zhang T, He S, Jia S, Zhang Z, Ye R, Yang X, Chen X. Association of metabolic syndrome with TyG index and TyG-related parameters in an urban Chinese population: a 15-year prospective study. Diabetol Metab Syndr. 2022;14(1):84.PubMedPubMedCentralCrossRef Zhang X, Zhang T, He S, Jia S, Zhang Z, Ye R, Yang X, Chen X. Association of metabolic syndrome with TyG index and TyG-related parameters in an urban Chinese population: a 15-year prospective study. Diabetol Metab Syndr. 2022;14(1):84.PubMedPubMedCentralCrossRef
24.
go back to reference Zhou S, Yu Y, Zhang Z, Ma L, Wang C, Yang M, Cheng X, Liu T, Sun R, Chen Y. Association of obesity, triglyceride-glucose and its derivatives index with risk of hyperuricemia among college students in Qingdao, China. Front Endocrinol. 2022;13:1001844.CrossRef Zhou S, Yu Y, Zhang Z, Ma L, Wang C, Yang M, Cheng X, Liu T, Sun R, Chen Y. Association of obesity, triglyceride-glucose and its derivatives index with risk of hyperuricemia among college students in Qingdao, China. Front Endocrinol. 2022;13:1001844.CrossRef
25.
go back to reference Xuan W, Liu D, Zhong J, Luo H, Zhang X. Impacts of triglyceride glucose-waist to height ratio on diabetes incidence: a secondary analysis of a population-based longitudinal data. Front Endocrinol. 2022;13:949831.CrossRef Xuan W, Liu D, Zhong J, Luo H, Zhang X. Impacts of triglyceride glucose-waist to height ratio on diabetes incidence: a secondary analysis of a population-based longitudinal data. Front Endocrinol. 2022;13:949831.CrossRef
26.
go back to reference Xue Y, Xu J, Li M, Gao Y. Potential screening indicators for early diagnosis of NAFLD/MAFLD and liver fibrosis: triglyceride glucose index-related parameters. Front Endocrinol. 2022;13:951689.CrossRef Xue Y, Xu J, Li M, Gao Y. Potential screening indicators for early diagnosis of NAFLD/MAFLD and liver fibrosis: triglyceride glucose index-related parameters. Front Endocrinol. 2022;13:951689.CrossRef
27.
go back to reference Er L, Wu S, Chou H, Hsu L, Teng M, Sun Y, Ko Y. Triglyceride glucose-body mass index is a simple and clinically useful surrogate marker for insulin resistance in nondiabetic individuals. PLoS ONE. 2016;11(3):e0149731.PubMedPubMedCentralCrossRef Er L, Wu S, Chou H, Hsu L, Teng M, Sun Y, Ko Y. Triglyceride glucose-body mass index is a simple and clinically useful surrogate marker for insulin resistance in nondiabetic individuals. PLoS ONE. 2016;11(3):e0149731.PubMedPubMedCentralCrossRef
28.
go back to reference Cheng Y, Fang Z, Zhang X, Wen Y, Lu J, He S, Xu B. Association between triglyceride glucose-body mass index and cardiovascular outcomes in patients undergoing percutaneous coronary intervention: a retrospective study. Cardiovasc Diabetol. 2023;22(1):75.PubMedPubMedCentralCrossRef Cheng Y, Fang Z, Zhang X, Wen Y, Lu J, He S, Xu B. Association between triglyceride glucose-body mass index and cardiovascular outcomes in patients undergoing percutaneous coronary intervention: a retrospective study. Cardiovasc Diabetol. 2023;22(1):75.PubMedPubMedCentralCrossRef
29.
go back to reference Hou W, Han T, Sun X, Chen Y, Xu J, Wang Y, Yang X, Jiang W, Sun C. Relationship between carbohydrate intake (quantity, quality, and time eaten) and mortality (total, cardiovascular, and diabetes): assessment of 2003–2014 national health and nutrition examination survey participants. Diabetes Care. 2022;45(12):3024–31.PubMedCrossRef Hou W, Han T, Sun X, Chen Y, Xu J, Wang Y, Yang X, Jiang W, Sun C. Relationship between carbohydrate intake (quantity, quality, and time eaten) and mortality (total, cardiovascular, and diabetes): assessment of 2003–2014 national health and nutrition examination survey participants. Diabetes Care. 2022;45(12):3024–31.PubMedCrossRef
30.
go back to reference Khan S, Sobia F, Niazi N, Manzoor S, Fazal N, Ahmad F. Metabolic clustering of risk factors: evaluation of Triglyceride-glucose index (TyG index) for evaluation of insulin resistance. Diabetol Metab Syndr. 2018;10:74.PubMedPubMedCentralCrossRef Khan S, Sobia F, Niazi N, Manzoor S, Fazal N, Ahmad F. Metabolic clustering of risk factors: evaluation of Triglyceride-glucose index (TyG index) for evaluation of insulin resistance. Diabetol Metab Syndr. 2018;10:74.PubMedPubMedCentralCrossRef
31.
go back to reference Du T, Yuan G, Zhang M, Zhou X, Sun X, Yu X. Clinical usefulness of lipid ratios, visceral adiposity indicators, and the triglycerides and glucose index as risk markers of insulin resistance. Cardiovasc Diabetol. 2014;13:146.PubMedPubMedCentralCrossRef Du T, Yuan G, Zhang M, Zhou X, Sun X, Yu X. Clinical usefulness of lipid ratios, visceral adiposity indicators, and the triglycerides and glucose index as risk markers of insulin resistance. Cardiovasc Diabetol. 2014;13:146.PubMedPubMedCentralCrossRef
32.
go back to reference Guerrero-Romero F, Simental-Mendía L, González-Ortiz M, Martínez-Abundis E, Ramos-Zavala M, Hernández-González S, Jacques-Camarena O, Rodríguez-Morán M. The product of triglycerides and glucose, a simple measure of insulin sensitivity. Comparison with the euglycemic-hyperinsulinemic clamp. J Clin Endocrinol Metab. 2010;95(7):3347–51.PubMedCrossRef Guerrero-Romero F, Simental-Mendía L, González-Ortiz M, Martínez-Abundis E, Ramos-Zavala M, Hernández-González S, Jacques-Camarena O, Rodríguez-Morán M. The product of triglycerides and glucose, a simple measure of insulin sensitivity. Comparison with the euglycemic-hyperinsulinemic clamp. J Clin Endocrinol Metab. 2010;95(7):3347–51.PubMedCrossRef
34.
go back to reference Park K, Ahn C, Lee S, Kang S, Nam J, Lee B, Kim J, Park J. Elevated TyG index predicts progression of coronary artery calcification. Diabetes Care. 2019;42(8):1569–73.PubMedCrossRef Park K, Ahn C, Lee S, Kang S, Nam J, Lee B, Kim J, Park J. Elevated TyG index predicts progression of coronary artery calcification. Diabetes Care. 2019;42(8):1569–73.PubMedCrossRef
35.
go back to reference Qu H, Long L, Chen L, Wu H, Fu C, Zhang S. Triglyceride-glucose index and estimated 10-year risk of a first hard cardiovascular event. Front Cardiovasc Med. 2022;9:994329.PubMedCrossRef Qu H, Long L, Chen L, Wu H, Fu C, Zhang S. Triglyceride-glucose index and estimated 10-year risk of a first hard cardiovascular event. Front Cardiovasc Med. 2022;9:994329.PubMedCrossRef
36.
go back to reference Zhang Q, Xiao S, Jiao X, Shen Y. The triglyceride-glucose index is a predictor for cardiovascular and all-cause mortality in CVD patients with diabetes or pre-diabetes: evidence from NHANES 2001–2018. Cardiovasc Diabetol. 2023;22(1):279.PubMedPubMedCentralCrossRef Zhang Q, Xiao S, Jiao X, Shen Y. The triglyceride-glucose index is a predictor for cardiovascular and all-cause mortality in CVD patients with diabetes or pre-diabetes: evidence from NHANES 2001–2018. Cardiovasc Diabetol. 2023;22(1):279.PubMedPubMedCentralCrossRef
37.
go back to reference Liu X, He G, Lo K, Huang Y, Feng Y. The triglyceride-glucose index, an insulin resistance marker, was non-linear associated with all-cause and cardiovascular mortality in the general population. Front Cardiovasc Med. 2020;7:628109.PubMedCrossRef Liu X, He G, Lo K, Huang Y, Feng Y. The triglyceride-glucose index, an insulin resistance marker, was non-linear associated with all-cause and cardiovascular mortality in the general population. Front Cardiovasc Med. 2020;7:628109.PubMedCrossRef
38.
go back to reference Kizer J, Arnold A, Jenny N, Cushman M, Strotmeyer E, Ives D, Ding J, Kritchevsky S, Chaves P, Hirsch C, et al. Longitudinal changes in adiponectin and inflammatory markers and relation to survival in the oldest old: the cardiovascular health study all stars study. J Gerontol A Biol Sci Med Sci. 2011;66(10):1100–7.PubMedCrossRef Kizer J, Arnold A, Jenny N, Cushman M, Strotmeyer E, Ives D, Ding J, Kritchevsky S, Chaves P, Hirsch C, et al. Longitudinal changes in adiponectin and inflammatory markers and relation to survival in the oldest old: the cardiovascular health study all stars study. J Gerontol A Biol Sci Med Sci. 2011;66(10):1100–7.PubMedCrossRef
39.
go back to reference Ludin A, Gur-Cohen S, Golan K, Kaufmann K, Itkin T, Medaglia C, Lu X, Ledergor G, Kollet O, Lapidot T. Reactive oxygen species regulate hematopoietic stem cell self-renewal, migration and development, as well as their bone marrow microenvironment. Antioxid Redox Signal. 2014;21(11):1605–19.PubMedPubMedCentralCrossRef Ludin A, Gur-Cohen S, Golan K, Kaufmann K, Itkin T, Medaglia C, Lu X, Ledergor G, Kollet O, Lapidot T. Reactive oxygen species regulate hematopoietic stem cell self-renewal, migration and development, as well as their bone marrow microenvironment. Antioxid Redox Signal. 2014;21(11):1605–19.PubMedPubMedCentralCrossRef
41.
go back to reference Lavie C, Milani R, Ventura H. Obesity and cardiovascular disease: risk factor, paradox, and impact of weight loss. J Am Coll Cardiol. 2009;53(21):1925–32.PubMedCrossRef Lavie C, Milani R, Ventura H. Obesity and cardiovascular disease: risk factor, paradox, and impact of weight loss. J Am Coll Cardiol. 2009;53(21):1925–32.PubMedCrossRef
42.
go back to reference Rexrode K, Carey V, Hennekens C, Walters E, Colditz G, Stampfer M, Willett W, Manson J. Abdominal adiposity and coronary heart disease in women. JAMA. 1998;280(21):1843–8.PubMedCrossRef Rexrode K, Carey V, Hennekens C, Walters E, Colditz G, Stampfer M, Willett W, Manson J. Abdominal adiposity and coronary heart disease in women. JAMA. 1998;280(21):1843–8.PubMedCrossRef
43.
go back to reference Wang H, He S, Wang J, An Y, Wang X, Li G, Gong Q. Hyperinsulinemia and plasma glucose level independently associated with all-cause and cardiovascular mortality in Chinese people without diabetes-A post-hoc analysis of the 30-year follow-up of Da Qing diabetes and IGT study. Diabetes Res Clin Pract. 2023;195:110199.PubMedCrossRef Wang H, He S, Wang J, An Y, Wang X, Li G, Gong Q. Hyperinsulinemia and plasma glucose level independently associated with all-cause and cardiovascular mortality in Chinese people without diabetes-A post-hoc analysis of the 30-year follow-up of Da Qing diabetes and IGT study. Diabetes Res Clin Pract. 2023;195:110199.PubMedCrossRef
44.
go back to reference Barzegar N, Tohidi M, Hasheminia M, Azizi F, Hadaegh F. The impact of triglyceride-glucose index on incident cardiovascular events during 16 years of follow-up: Tehran Lipid and Glucose Study. Cardiovasc Diabetol. 2020;19(1):155.PubMedPubMedCentralCrossRef Barzegar N, Tohidi M, Hasheminia M, Azizi F, Hadaegh F. The impact of triglyceride-glucose index on incident cardiovascular events during 16 years of follow-up: Tehran Lipid and Glucose Study. Cardiovasc Diabetol. 2020;19(1):155.PubMedPubMedCentralCrossRef
45.
go back to reference Li X, Chan J, Guan B, Peng S, Wu X, Lu X, Zhou J, Hui J, Lee Y, Satti D, et al. Triglyceride-glucose index and the risk of heart failure: evidence from two large cohorts and a Mendelian randomization analysis. Cardiovasc Diabetol. 2022;21(1):229.PubMedPubMedCentralCrossRef Li X, Chan J, Guan B, Peng S, Wu X, Lu X, Zhou J, Hui J, Lee Y, Satti D, et al. Triglyceride-glucose index and the risk of heart failure: evidence from two large cohorts and a Mendelian randomization analysis. Cardiovasc Diabetol. 2022;21(1):229.PubMedPubMedCentralCrossRef
46.
go back to reference Sánchez-Íñigo L, Navarro-González D, Fernández-Montero A, Pastrana-Delgado J, Martínez J. The TyG index may predict the development of cardiovascular events. Eur J Clin Invest. 2016;46(2):189–97.PubMedCrossRef Sánchez-Íñigo L, Navarro-González D, Fernández-Montero A, Pastrana-Delgado J, Martínez J. The TyG index may predict the development of cardiovascular events. Eur J Clin Invest. 2016;46(2):189–97.PubMedCrossRef
47.
go back to reference Liu L, Wu Z, Zhuang Y, Zhang Y, Cui H, Lu F, Peng J, Yang J. Association of triglyceride-glucose index and traditional risk factors with cardiovascular disease among non-diabetic population: a 10-year prospective cohort study. Cardiovasc Diabetol. 2022;21(1):256.PubMedPubMedCentralCrossRef Liu L, Wu Z, Zhuang Y, Zhang Y, Cui H, Lu F, Peng J, Yang J. Association of triglyceride-glucose index and traditional risk factors with cardiovascular disease among non-diabetic population: a 10-year prospective cohort study. Cardiovasc Diabetol. 2022;21(1):256.PubMedPubMedCentralCrossRef
48.
go back to reference Laakso M, Kuusisto J. Insulin resistance and hyperglycaemia in cardiovascular disease development. Nat Rev Endocrinol. 2014;10(5):293–302.PubMedCrossRef Laakso M, Kuusisto J. Insulin resistance and hyperglycaemia in cardiovascular disease development. Nat Rev Endocrinol. 2014;10(5):293–302.PubMedCrossRef
49.
go back to reference Sinning C, Makarova N, Völzke H, Schnabel R, Ojeda F, Dörr M, Felix S, Koenig W, Peters A, Rathmann W, et al. Association of glycated hemoglobin A levels with cardiovascular outcomes in the general population: results from the BiomarCaRE (biomarker for cardiovascular risk assessment in Europe) consortium. Cardiovasc Diabetol. 2021;20(1):223.PubMedPubMedCentralCrossRef Sinning C, Makarova N, Völzke H, Schnabel R, Ojeda F, Dörr M, Felix S, Koenig W, Peters A, Rathmann W, et al. Association of glycated hemoglobin A levels with cardiovascular outcomes in the general population: results from the BiomarCaRE (biomarker for cardiovascular risk assessment in Europe) consortium. Cardiovasc Diabetol. 2021;20(1):223.PubMedPubMedCentralCrossRef
50.
go back to reference Selvin E, Steffes M, Zhu H, Matsushita K, Wagenknecht L, Pankow J, Coresh J, Brancati F. Glycated hemoglobin, diabetes, and cardiovascular risk in nondiabetic adults. N Engl J Med. 2010;362(9):800–11.PubMedPubMedCentralCrossRef Selvin E, Steffes M, Zhu H, Matsushita K, Wagenknecht L, Pankow J, Coresh J, Brancati F. Glycated hemoglobin, diabetes, and cardiovascular risk in nondiabetic adults. N Engl J Med. 2010;362(9):800–11.PubMedPubMedCentralCrossRef
51.
go back to reference Pyöräla K. Relationship of glucose tolerance and plasma insulin to the incidence of coronary heart disease: results from two population studies in Finland. Diabetes Care. 1979;2(2):131–41.PubMedCrossRef Pyöräla K. Relationship of glucose tolerance and plasma insulin to the incidence of coronary heart disease: results from two population studies in Finland. Diabetes Care. 1979;2(2):131–41.PubMedCrossRef
52.
go back to reference Lamarche B, Tchernof A, Mauriège P, Cantin B, Dagenais G, Lupien P, Després J. Fasting insulin and apolipoprotein B levels and low-density lipoprotein particle size as risk factors for ischemic heart disease. JAMA. 1998;279(24):1955–61.PubMedCrossRef Lamarche B, Tchernof A, Mauriège P, Cantin B, Dagenais G, Lupien P, Després J. Fasting insulin and apolipoprotein B levels and low-density lipoprotein particle size as risk factors for ischemic heart disease. JAMA. 1998;279(24):1955–61.PubMedCrossRef
53.
go back to reference Sinha A, Bhattacharya S, Acharya K, Mazumder S. Stimulation of nitric oxide synthesis and protective role of insulin in acute thrombosis in vivo. Life Sci. 1999;65(25):2687–96.PubMedCrossRef Sinha A, Bhattacharya S, Acharya K, Mazumder S. Stimulation of nitric oxide synthesis and protective role of insulin in acute thrombosis in vivo. Life Sci. 1999;65(25):2687–96.PubMedCrossRef
54.
go back to reference Xi L, Kukreja R. Pivotal role of nitric oxide in delayed pharmacological preconditioning against myocardial infarction. Toxicology. 2000;155:37–44.PubMedCrossRef Xi L, Kukreja R. Pivotal role of nitric oxide in delayed pharmacological preconditioning against myocardial infarction. Toxicology. 2000;155:37–44.PubMedCrossRef
55.
go back to reference Yazar A, Polat G, Un I, Levent A, Kaygusuz A, Büyükafşar K, Çamdeviren H. Effects of glibenclamide, metformin and insulin on the incidence and latency of death by oubain-induced arrhythmias in mice. Pharmacol Res. 2002;45(3):183–7.PubMedCrossRef Yazar A, Polat G, Un I, Levent A, Kaygusuz A, Büyükafşar K, Çamdeviren H. Effects of glibenclamide, metformin and insulin on the incidence and latency of death by oubain-induced arrhythmias in mice. Pharmacol Res. 2002;45(3):183–7.PubMedCrossRef
56.
go back to reference Ren J, Wu N, Wang S, Sowers J, Zhang Y. Obesity cardiomyopathy: evidence, mechanisms, and therapeutic implications. Physiol Rev. 2021;101(4):1745–807.PubMedPubMedCentralCrossRef Ren J, Wu N, Wang S, Sowers J, Zhang Y. Obesity cardiomyopathy: evidence, mechanisms, and therapeutic implications. Physiol Rev. 2021;101(4):1745–807.PubMedPubMedCentralCrossRef
57.
go back to reference Ormazabal V, Nair S, Elfeky O, Aguayo C, Salomon C, Zuñiga F. Association between insulin resistance and the development of cardiovascular disease. Cardiovasc Diabetol. 2018;17(1):122.PubMedPubMedCentralCrossRef Ormazabal V, Nair S, Elfeky O, Aguayo C, Salomon C, Zuñiga F. Association between insulin resistance and the development of cardiovascular disease. Cardiovasc Diabetol. 2018;17(1):122.PubMedPubMedCentralCrossRef
Metadata
Title
The association between triglyceride-glucose index and its combination with obesity indicators and cardiovascular disease: NHANES 2003–2018
Authors
Keke Dang
Xuanyang Wang
Jinxia Hu
Yuntao Zhang
Licheng Cheng
Xiang Qi
Lin Liu
Zhu Ming
Xinmiao Tao
Ying Li
Publication date
01-12-2024
Publisher
BioMed Central
Published in
Cardiovascular Diabetology / Issue 1/2024
Electronic ISSN: 1475-2840
DOI
https://doi.org/10.1186/s12933-023-02115-9

Other articles of this Issue 1/2024

Cardiovascular Diabetology 1/2024 Go to the issue
Live Webinar | 27-06-2024 | 18:00 (CEST)

Keynote webinar | Spotlight on medication adherence

Live: Thursday 27th June 2024, 18:00-19:30 (CEST)

WHO estimates that half of all patients worldwide are non-adherent to their prescribed medication. The consequences of poor adherence can be catastrophic, on both the individual and population level.

Join our expert panel to discover why you need to understand the drivers of non-adherence in your patients, and how you can optimize medication adherence in your clinics to drastically improve patient outcomes.

Prof. Kevin Dolgin
Prof. Florian Limbourg
Prof. Anoop Chauhan
Developed by: Springer Medicine
Obesity Clinical Trial Summary

At a glance: The STEP trials

A round-up of the STEP phase 3 clinical trials evaluating semaglutide for weight loss in people with overweight or obesity.

Developed by: Springer Medicine

Highlights from the ACC 2024 Congress

Year in Review: Pediatric cardiology

Watch Dr. Anne Marie Valente present the last year's highlights in pediatric and congenital heart disease in the official ACC.24 Year in Review session.

Year in Review: Pulmonary vascular disease

The last year's highlights in pulmonary vascular disease are presented by Dr. Jane Leopold in this official video from ACC.24.

Year in Review: Valvular heart disease

Watch Prof. William Zoghbi present the last year's highlights in valvular heart disease from the official ACC.24 Year in Review session.

Year in Review: Heart failure and cardiomyopathies

Watch this official video from ACC.24. Dr. Biykem Bozkurt discusses last year's major advances in heart failure and cardiomyopathies.