Visceral adiposity index is closely associated with urinary albumin-creatinine ratio in the Chinese population with prediabetes.

AIMS: Visceral obesity is a major health issue and is a risk factor for an atherogenic state. Visceral obesity has been reported to be a crucial link between albuminuria and cardiovascular diseases (CVD). This study attempted to explore the association between visceral obesity and albuminuria in prediabetic individuals. METHODS: This cross-sectional study included 24871 prediabetic participants over 40 years of age from seven centres across China (REACTION study). The visceral adiposity index (VAI) was determined based on the measurements of anthropometric indices and lipid parameters. Increased albuminuria was defined as a urinary albumin-creatinine ratio (UACR) ≥30 mg/g, indicating kidney damage. Propensity score matching was used to reduce bias, and a multiple logistic regression model was performed to evaluate the association between visceral obesity and albuminuria in the population with prediabetes. RESULTS: Participants with increased UACR exhibited increased VAI, age, blood pressure, triglycerides, poor glycaemic control, CVD events, and decreased estimated glomerular filtration rate (eGFR). Multiple logistic regression analysis demonstrated that VAI quartiles were positively associated with an increased risk of albuminuria (Q2: odds rate [OR]: 1.10, 95% confidence intervals [CI] 0.96-1.25; Q3: OR: 1.16, 95% CI 1.01-1.32; Q4: OR: 1.26, 95% CI 1.10-1.44, p for trend = 0.001). Stratified analysis revealed that the association of VAI level with increased albuminuria risk also occurred in people who were young, women, overweight or obese, with poor control of blood pressure, and eGFR ≥90 ml/min per 1.73 m2 . CONCLUSIONS: Visceral obesity assessed by VAI is significantly associated with increased UACR in a Chinese population with prediabetes.

A high triglyceride glucose index is more closely associated with hypertension than lipid or glycemic parameters in elderly individuals: a cross-sectional survey from the Reaction Study.

BACKGROUND: Both lipid and glucose abnormalities are associated with hypertension (HTN). However, it is unclear whether the triglyceride-glucose (TyG) index is associated with HTN. Therefore the aim of this study is to investigate the association of the TyG index and HTN and to compare the discriminative power of the TyG index, lipid, glycemic parameters for the risk of HTN in elderly individuals. METHODS: The present study was nested in a longitudinal (REACTION) study from May 2011 to December 2011, which was designed to demonstrate the association of abnormal glucose metabolism with the risk of cancer in the Chinese population. In total, 47,808 participants were recruited in this cross-sectional study. The TyG index was divided into five groups: the < 20% group, the 20-39% group, the 40-59% group, the 60-79% group and the ≥ 80% group, according to quintile division of the subjects. Three multivariate logistic regression models were used to evaluate the association between the TyG vs. lipid parameters, glycemic parameters and HTN. RESULTS: Multivariate logistic regression analysis shows that compared with lipid and glycemic parameters, the TyG index remains significantly associated with HTN in either total subjects or subjects separated into men and women (odds ratio (OR) 1.33, 95% confidence interval (CI) 1.18-1.51, p < 0.0001 in total subjects; OR 1.39, 95% CI 1.11-1.74, p = 0.0042 in men; OR 1.28, 95% CI 1.11-1.49, p = 0.0010 in women). In a stratified analysis, an elevated TyG index is significantly associated with HTN in the subgroup of the oldest age (≥ 65) (OR 1.67, 95% CI 1.30-2.14, p < 0.0001), as well as with obesity (Body mass index (BMI) ≥ 28 kg/m2) (OR 1.85, 95% CI 1.29-2.66, p = 0.0009) or lower estimated glomerular filtration rate (eGFR) (< 90 mL/(min·1.73 m2)) (OR 1.72, 95% CI 1.33-2.21, p < 0.0001). CONCLUSION: The TyG index is significantly associated with HTN and shows the superior discriminative ability for HTN compared with lipid and glycemic parameters in the Chinese elderly population.