Sun Jin-Yu, Su Zhenyang, Shen Hui, Hua Yang, Sun Wei, Kong Xiang-Qing
Gusu School, Nanjing Medical University, Suzhou, China.
Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Nutr J. 2024 Dec 2;23(1):153. doi: 10.1186/s12937-024-01058-5.
This study aims to ascertain whether abdominal fat accumulation evaluated by waist circumference increases the risk of hypertension using the nationwide population.
We enrolled 47,037 participants from the China Health and Nutrition Survey (CHNS), China Health and Retirement Longitudinal Study (CHARLS), and National Health, and Nutrition Examination Survey (NHANES). The adjusted logistic regression model was used to examine the relationship between waist circumference and prevalent hypertension. 9445 participants without baseline hypertension from the CHNS and CHARLS were followed up to investigate the association between waist circumference and onset hypertension. The association was evaluated using a Cox regression model and restricted cubic spline. Furthermore, Mendelian randomization was employed to explore causal inferences.
In the baseline survey, waist circumference demonstrated a notable correlation with hypertension, presenting an odds ratio (with 95% confidence intervals) of 1.34 (1.28 ~ 1.40). After a mean follow-up of 3.8 years for participants without baseline hypertension, 2,592 (27.5%) developed hypertension. In the pooled analysis, the Cox regression showed that every 10 cm increase in waist circumference was associated with 20% (95% CI: 13% ~ 27%) elevated risk of new-onset hypertension. Restricted cubic splines indicated a pronounced linear dose-response relationship. A subgroup analysis affirmed the persisting association between waist circumference and hypertension onset even in those with normal BMI. The Mendelian randomization method revealed a significant causative association between waist circumference and hypertension.
Elevated waist circumference stands as an independent risk factor for hypertension, even in those with normal BMI. Our results provide evidence supporting the routine measure for waist circumference.
本研究旨在利用全国人口来确定通过腰围评估的腹部脂肪堆积是否会增加患高血压的风险。
我们从中国健康与营养调查(CHNS)、中国健康与养老追踪调查(CHARLS)以及国家健康与营养检查调查(NHANES)中纳入了47037名参与者。采用调整后的逻辑回归模型来检验腰围与高血压患病率之间的关系。对CHNS和CHARLS中9445名无基线高血压的参与者进行随访,以研究腰围与高血压发病之间的关联。使用Cox回归模型和受限立方样条来评估这种关联。此外,采用孟德尔随机化来探索因果推断。
在基线调查中,腰围与高血压呈现出显著相关性,优势比(95%置信区间)为1.34(1.28~1.40)。对无基线高血压的参与者进行平均3.8年的随访后,2592人(27.5%)患上了高血压。在汇总分析中,Cox回归显示腰围每增加10厘米,新发高血压风险升高20%(95%CI:13%~27%)。受限立方样条表明存在明显的线性剂量反应关系。亚组分析证实,即使在BMI正常的人群中,腰围与高血压发病之间的关联依然存在。孟德尔随机化方法揭示了腰围与高血压之间存在显著的因果关联。
即使在BMI正常的人群中,腰围升高也是高血压的独立危险因素。我们的结果为腰围的常规测量提供了支持证据。