The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
Triglyceride-glucose index and triglyceride to high-density lipoprotein cholesterol ratio as potential cardiovascular disease risk factors: an analysis of UK biobank data
Open accessAbstract
Background: The triglyceride-glucose (TyG) index and triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio, two simple surrogate indicators of insulin resistance, have been demonstrated to predict cardiovascular disease (CVD). However, very few studies have investigated their associations with CVD in European populations. Methods: A total of 403,335 participants from the UK Biobank with data for TyG index and TG/HDL-C ratio and free from CVD at baseline were included. Cox models were applied to evaluate the association between TyG index and TG/HDL-C ratio and incident CVD. Mediation analyses were performed to evaluate the contribution of prevalent diabetes, hypertension, and dyslipidemia to observed associations. Results: During a median follow-up of 8.1 years, 19,754 (4.9%) individuals developed CVD, including 16,404 (4.1%) cases of CHD and 3976 (1.0%) cases of stroke. The multivariable-adjusted hazard ratios of total CVD in higher quartiles versus the lowest quartiles were 1.05, 1.05, and 1.19, respectively, for TyG index, and 1.07, 1.13, and 1.29, respectively, for TG/HDL-C ratio. There were significant trends toward an increasing risk of CVD across the quartiles of TyG index and TG/HDL-C ratio. In mediation analyses, dyslipidemia, type 2 diabetes, and hypertension explained 45.8%, 27.0%, and 15.0% of TyG index’s association with CVD, respectively, and 40.0%, 11.8%, and 13.3% of TG/HDL-C ratio’s association with CVD, respectively. Conclusions: Elevated baseline TyG index and TG/HDL-C ratio were associated with a higher risk of CVD after adjustment for the well-established CVD risk factors. These associations were largely mediated by greater prevalence of dyslipidemia, type 2 diabetes, and hypertension.
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Cites
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A New Equation to Estimate Glomerular Filtration Rate
Levey, A. S., Stevens, L. A., Schmid, C. H., Zhang, Y. (., Castro, A. F., Feldman, H. I., Kusek, J. W., Eggers, P., Van Lente, F., Greene, T., et al. (2009) · Annals of Internal Medicine · doi:10.7326/0003-4819-150-9-200905050-00006 · Cited by 25,603
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World Health Organization 2020 guidelines on physical activity and sedentary behaviour
Bull, F. C., Al-Ansari, S. S., Biddle, S., Borodulin, K., Buman, M. P., Cardon, G., Carty, C., Chaput, J.-P., Chastin, S., Chou, R., et al. (2020) · British Journal of Sports Medicine · doi:10.1136/bjsports-2020-102955 · Cited by 11,657 · cited 1×
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MethodRoth, G. A., Abate, D., Abate, K. H., Abay, S. M., Abbafati, C., Abbasi, N., Abbastabar, H., Abd-Allah, F., Abdela, J., Abdelalim, A., et al. (2018) · The Lancet · doi:10.1016/s0140-6736(18)32203-7 · Cited by 8,600
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Mechanisms of Insulin Action and Insulin Resistance
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Association between insulin resistance and the development of cardiovascular disease
Ormazabal, V., Nair, S., Elfeky, O., Aguayo, C., Salomon, C., & Zuñiga, F. A. (2018) · Cardiovascular Diabetology · doi:10.1186/s12933-018-0762-4 · Cited by 2,280
Cited by
He, Q., Sun, M., Zhao, H., Sun, N., Han, Q., Feng, Z., Li, T., Wang, Y., Li, G., Ma, Z., et al. (2023) · Food & Function · doi:10.1039/d3fo02069j · Cited by 24
Li, Y., Zhai, Y., Hu, S., Liu, J., Zhang, W., Yue, J., & Wang, Z. (2025) · Frontiers in Cardiovascular Medicine · doi:10.3389/fcvm.2025.1516326 · Cited by 7
Metadata
- Authors
- Che, B., Zhong, C., Zhang, R., Pu, L., Zhao, T., Zhang, Y., & Han, L.
- Venue
- Cardiovascular Diabetology
- Published
- 2023-02-16
- Volume
- 22
- Issue
- 1
- Pages
- 34-34
- ISSN
- 1475-2840 (ISSN-L)
- OpenAlex
- W4321083608
- Cited by
- 382
- References
- 39
- FWCI
- 63.21
- Type
- journal article
- Language
- en
- Open access
- gold
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