The interaction between triglyceride-glucose index and visceral adiposity in cardiovascular disease risk: findings from a nationwide Chinese cohort

Cardiovascular Diabetology, Journal Year: 2024, Volume and Issue: 23(1)

Published: Nov. 27, 2024

Globally, cardiovascular disease (CVD) constitutes the primary cause of death, with insulin resistance (IR), measured by triglyceride-glucose (TyG) index, and visceral obesity, reflected Chinese Visceral Adiposity Index (CVAI), as key contributors. However, relationship between TyG index CVAI regarding CVD risk remains insufficiently understood. This research investigates interactive impact on disease. We analyzed data from 8,358 participants China Health Retirement Longitudinal Study (CHARLS) over a 9-year follow-up period. Participants were classified into four groups based median (8.59) values (101.26), baseline characteristics summarized. Missing addressed using multiple imputation chained equations (MICE). Cox proportional hazards models assessed associations CVAI, CVD, coronary heart (CHD), stroke risks, Kaplan-Meier analysis used for cumulative hazard. Interaction effects evaluated both multiplicative additive measures. Subgroup analyses age, gender, clinical conditions conducted to explore interaction across different populations. Sensitivity re-tested models, excluding covariates BMI diabetes, tertiles classification, re-evaluating imputed data. Over follow-up, 1,240 (14.8%) developed including 896 cases CHD 475 strokes. curves indicated that low but high had highest hazard CVD. regression showed this group (HR = 1.87, 95% CI: 1.57–2.24), followed those 1.75, 1.49–2.06). revealed negative effect no significant stroke. sensitivity further confirmed these findings, showing consistent results demographic under various analytical conditions. study suggests IR (TyG index) fat accumulation (CVAI) plays complex role in risk, potential antagonistic observed events. These findings highlight importance considering adiposity assessments improve identification high-risk individuals.

Language: Английский

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The role of the triglyceride-glucose index as a biomarker of cardio-metabolic syndromes

Lipids in Health and Disease, Journal Year: 2024, Volume and Issue: 23(1)

Published: Dec. 23, 2024

The Triglyceride-glucose (TyG) index represents a simple, cost-effective, and valid proxy for insulin resistance. This surrogate marker has also been proposed as predictor of metabolic cardiovascular disease (CVD). In this descriptive review, we aimed to assess the utility TyG predictive biomarker cardiometabolic diseases. A search was conducted in PubMed, Web Science identify cross-sectional more importantly prospective studies examining use biomarker. following terms were utilized addition index: "insulin resistance", "metabolic syndrome", "diabetes"; "cardiovascular diseases". review included thirty studies. Following adjustment confounding variables, an elevated associated with significantly increased risk development Metabolic Syndrome (MetS), Type 2 Diabetes, hypertension, CVD. Also limited studies, endothelial dysfunction, oxidative stress pro-inflammatory phenotype. Overall, our findings support developing MetS, T2DM, well atherosclerotic disease.

Language: Английский

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Association between triglyceride glucose index and biological aging in U.S. adults: National Health and Nutrition Examination Survey

Cardiovascular Diabetology, Journal Year: 2025, Volume and Issue: 24(1)

Published: Feb. 28, 2025

Insulin resistance (IR) has been reported to be associated with aging; however, few studies have investigated the relationship between IR and biological age (BA). The Triglyceride–glucose (TyG) index is a recognized marker of IR. Currently, there insufficient evidence regarding TyG aging. This study aims provide deeper insights into connections We conducted cross-sectional using data from National Health Nutrition Examination Survey (NHANES), including 12,074 adults (aged 20 older) 2001–2010 2015–2018 cycles. Comprehensive BA were extracted for analysis. To explore BA, linear regressions employed, while logistic regression models used examine association accelerated Additionally, trend tests, subgroup analyses, smoothed fitted curves assess robustness findings. included participants mean 46.91 years (SD, 16.64); these, 50.25% female 49.75% male. Each 1-unit increase in was 1.64-year rise Klemera–Doubal method (KDM) 117% higher risk Similarly, each corresponded 0.40-year phenotypic age, resulting 15% analysis also revealed nonlinear positive relationships aging, particularly KDM (P non-linearity < 0.001) = 0.005), turning point at 8.66. Across all subgroups, consistently showed correlation even presence significant interactions. There Higher levels are linked increased greater

Language: Английский

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Cholesterol, high-density lipoprotein, and glucose index versus triglyceride–glucose index in predicting cardiovascular disease risk: a cohort study

Cardiovascular Diabetology, Journal Year: 2025, Volume and Issue: 24(1)

Published: March 10, 2025

Cardiovascular disease (CVD) represents a significant global health challenge, characterized by high incidence rates and substantial morbidity mortality. A newer index, the Cholesterol, High-Density Lipoprotein, Glucose (CHG) has been proposed as potential diagnostic tool for metabolic disorders but not investigated its ability to predict CVD risk. This study aims evaluate predictive efficacy of CHG index in comparison well-established Triglyceride–Glucose (TyG) index. In this cohort study, 6249 adults aged 45 older were recruited from CHARLS database, with data collected 2011 2020. events tracked over nine-year follow-up. The TyG indices calculated, their relationships risk assessed using univariate multivariate Cox regression models. Additionally, restricted cubic spline (RCS) analysis was performed further explore these associations. Receiver operating characteristic (ROC) conducted compare performance both indices, subgroup evaluated applicability different populations. Among participants, 1667 (26.68%) developed during unadjusted models, had hazard ratio (HR) 1.18 (95% confidence interval CI 1.10–1.27, p < 0.001), while showed higher HR 1.35 1.21–1.51, 0.001). adjusted relationship still persisted. RCS models that exhibited non-linear CVD, demonstrated positive linear correlation. ROC curve revealed comparable indices. indicated there no interaction between subgroups (p > 0.05). An elevated is significantly correlated an increased demonstrating relationship. Furthermore, it exhibits capabilities those assessing Not applicable. leading issue, rising linked diabetes other conditions. indicator, recognized reliable predictor Recently, novel indicator. Does more effectively compared index? can serve composite indicator predicting risk, capability incorporation clinical assessments may enhance stratification personalized prevention strategies patients at CVD.

Language: Английский

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Associations between kidney function with all-cause and cause-specific mortality in type 2 diabetes mellitus patients: a prospective cohort study in China

Journal of Health Population and Nutrition, Journal Year: 2025, Volume and Issue: 44(1)

Published: March 13, 2025

Abnormal kidney function is associated with adverse outcomes in patients type 2 diabetes mellitus (T2DM). However, the evidence between and mortality among Chinese T2DM were still limited. This cohort study included 19,919 participants baseline from 2013 to 2014 Jiangsu, China. Serum estimated glomerular filtration rate (eGFR), urea, uric acid measured at baseline, Cox regression models used evaluate hazard ratios (HRs) 95% confidential intervals (95%CIs) of all-cause cause-specific mortality. Restricted cubic splines analyze dose-response relationships, we explored best cut-off values by receiver operating characteristic (ROC) curves. During a median follow-up 9.77 years, 4,428 deaths occurred, including 1,542 (34.8%) due cardiovascular disease (CVD), 1,074 (24.3%) cancer. Compared lowest quintile level (Q1), highest (Q5) eGFR was negatively (HR = 0.67, 95%CI: 0.58–0.77) CVD 0.57, 95%CI 0.44–0.75). The higher levels urea positively (Q5 vs. Q1: HR 1.27, 1.16–1.39; 1.21, 1.10–1.34), an overall "U-shaped" relationships. Moreover, cancer 0.79, 0.66–0.95). 88.50 ml/min/1.73m2, 6.95 mmol/L 342.50 µmol/L for eGFR, acid, respectively. We found abnormal people T2DM. More clinical researches are needed validate effects on risk prevention management.

Language: Английский

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The triglyceride-glucose index, blood glucose levels, and metabolic syndrome are associated with all-cause mortality in obesity.

Diabetes & Metabolic Syndrome Clinical Research & Reviews, Journal Year: 2024, Volume and Issue: 18(10), P. 103146 - 103146

Published: Oct. 1, 2024

Language: Английский

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The association between triglyceride-glucose index and neutrophil-lymphocyte ratio and all-cause mortality in the general US population: NHANES 2001–2018

Frontiers in Endocrinology, Journal Year: 2024, Volume and Issue: 15

Published: Dec. 10, 2024

The association between the triglyceride-glucose (TyG) index and mortality in general population remains controversial, with inconsistent findings across studies.

Language: Английский

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Metabolic syndrome prevalence in Mexican individuals exposed to polycyclic aromatic hydrocarbons and their association with an increased risk of cardiovascular events

Drug and Chemical Toxicology, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 10

Published: Dec. 29, 2024

Polycyclic aromatic hydrocarbons (PAHs) are an organic chemical family produced during incomplete combustion of materials. Besides, PAHs associated with different detrimental health effects. Therefore, this research was aimed to assess the association between exposure, metabolic syndrome (MetS) prevalence, and cardiovascular risk in a Mexican population. Urinary 1-hydroxypyrene (1-OHP) exposure biomarker quantified. MetS prevalence defined using National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III) International Diabetes Federation (IDF) criteria. Also, we used atherogenic index plasma (AIP) as biomarker. The mean urinary 1-OHP level quantified 2.50 ± 1.25 µmol/mol creatinine. found 35% (n = 222) 31% 197) NCEP IDF criteria, respectively. AIP value 0.32 0.15. Furthermore, data analysis showed robust associations PAH (urinary concentrations), (AIP). real significance findings study needs be clarified completely, diseases represent critical challenge contaminated zones developing countries such Mexico.

Language: Английский

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