UNASSIGNED: In this cross-sectional study, a total of 229,287 hypertensive patients aged 35 years and older were included from the National Basic Public Health Service Project. All participants underwent a face-to-face questionnaire survey, physical examination, and the collection of fasting venous blood samples. Multivariable logistic regression models were performed to estimate odds ratios (ORs) and 95% confidence intervals (CIs). Receiver operating characteristic curve was utilized to evaluate the identification ability for CMM.
UNASSIGNED: After adjusting for confounders, each 1-standard deviation increase in CMI, LAP, VAI, and CVAI was associated with a 14%, 8%, 12%, and 54% increased risk of CMM, respectively. When comparing the highest quartile of these indicators with the lowest quartile, individuals in the highest quartile of CMM, LAP, VAI, and CVAI had a 1.39-fold (95% CI 1.30, 1.48), 1.28-fold (95% CI 1.19, 1.37), 1.37-fold (95% CI 1.29, 1.46), and 2.56-fold (95% CI 2.34, 2.79) increased risk of CMM after adjusting for potential confounders. Notably, a nonlinear association was observed for CMI, LAP, and VAI with the risk of CMM (all P nonlinearity < 0.001). CVAI exhibited the highest area under the receiver operating characteristic curve (AUC) among all the included adiposity indices in this analysis.
UNASSIGNED: This study indicated the significant positive association of CMI, LAP, VAI, and CVAI with the risk of CMM in hypertensive patients. Among these indicators, CVAI demonstrated the most robust performance in predicting CMM risk and may serve as a valuable tool for identifying CMM risk in Chinese hypertensive patients.
■在这项横断面研究中,国家基本公共卫生服务项目共纳入229,287名35岁及以上的高血压患者。所有参与者都进行了面对面的问卷调查,体检,采集空腹静脉血样本.使用多变量逻辑回归模型来估计比值比(ORs)和95%置信区间(CIs)。利用接收器工作特征曲线来评估CMM的识别能力。
■调整混杂因素后,CMI每增加1个标准偏差,LAP,VAI,CVAI与14%相关,8%,12%,CMM的风险增加了54%,分别。当比较这些指标的最高四分位数与最低四分位数时,坐标测量机最高四分位数的个体,LAP,VAI,CVAI为1.39倍(95%CI1.30,1.48),1.28倍(95%CI1.19,1.37),1.37倍(95%CI1.29,1.46),校正潜在混杂因素后CMM风险增加2.56倍(95%CI2.34,2.79)。值得注意的是,观察到CMI的非线性关联,LAP,和VAI具有CMM的风险(所有P非线性<0.001)。在此分析中,CVAI在所有纳入的肥胖指数中,受试者工作特征曲线(AUC)下的面积最高。
■这项研究表明CMI呈显著正相关,LAP,VAI,和CVAI与高血压患者的CMM风险有关。在这些指标中,CVAI在预测CMM风险方面表现出最强大的性能,可能是识别中国高血压患者CMM风险的有价值的工具。