Guo Tuo, Zhou Yang, Yang Guifang, Sheng Lijuan, Chai Xiangping
Department of Emergency Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Emergency Medicine and Difficult Diseases Institute, Central South University, Changsha, Hunan, China.
Sci Rep. 2025 Feb 1;15(1):4007. doi: 10.1038/s41598-025-87029-0.
Hypertension, a major global health issue and leading cause of death, is often under-assessed by traditional metrics like Body Mass Index which fail to capture comprehensive cardiovascular risks associated with obesity. The Cardiometabolic Index (CMI), which evaluates abdominal obesity and dyslipidemia, offers a more accurate assessment of visceral fat and metabolic dysfunction. In this study, we analyzed data from 45,250 participants from the National Health and Nutrition Examination Survey spanning 1999 to 2020. Using multivariable logistic regression, we explored the association between CMI and hypertension, employing Restricted Cubic Spline analysis to assess non-linear relationships and two-piecewise linear regression to identify threshold effects. Subgroup analyses confirmed the consistency of our findings across various demographic and clinical characteristics. Findings confirmed that hypertensive participants exhibited significantly higher CMI levels (median 0.46 vs. 0.73), with adjusted logistic regression showing a notable association between increased CMI and hypertension prevalence (OR 1.30, 95% CI 1.25-1.35, P < 0.01), characterized by a nonlinear L-shaped curve with a critical threshold identified at a CMI value of 1.37. Subgroup analysis revealed a more pronounced impact of CMI on hypertension in females. These results underscore CMI's potential to enhance cardiovascular risk assessment across diverse U.S. populations.
高血压是一个重大的全球健康问题和主要死因,传统指标如体重指数往往对其评估不足,这些指标无法全面反映与肥胖相关的心血管风险。评估腹部肥胖和血脂异常的心脏代谢指数(CMI)能更准确地评估内脏脂肪和代谢功能障碍。在本研究中,我们分析了1999年至2020年美国国家健康与营养检查调查中45250名参与者的数据。我们使用多变量逻辑回归来探究CMI与高血压之间的关联,采用受限立方样条分析评估非线性关系,并使用两段式线性回归来确定阈值效应。亚组分析证实了我们的研究结果在不同人口统计学和临床特征中的一致性。研究结果证实,高血压患者的CMI水平显著更高(中位数分别为0.46和0.73),调整后的逻辑回归显示CMI升高与高血压患病率之间存在显著关联(OR 1.30,95%CI 1.25-1.35,P < 0.01),其特征为非线性L形曲线,在CMI值为1.37时确定了一个临界阈值。亚组分析显示,CMI对女性高血压的影响更为显著。这些结果强调了CMI在加强对美国不同人群心血管风险评估方面的潜力。