Yuan Weihua, Wang Tiancheng, Yue Wei
School of Acupuncture-Moxibustion and Tuina, Anhui University of Chinese Medicine, Hefei, China.
School of Integrated Traditional and Western Medicine, Anhui University of Chinese Medicine, Hefei, China.
Front Nutr. 2024 May 27;11:1375010. doi: 10.3389/fnut.2024.1375010. eCollection 2024.
Studies have revealed a relationship between dietary potassium intake and albuminuria, despite the fact that the human body needs a lot of potassium. Our study concentrated on the link between dietary potassium intake and albuminuria.
This study used subgroup analysis and weighted multivariate regression analysis. Data from the National Health and Nutrition Examination Survey (NHANES) were examined to determine the urinary albumin-to-creatinine ratio (ACR) and participant age (20 years or older). ACR >30 mg/g was the threshold for albuminuria.
7,564 individuals in all were included in the study. The link between the two was significant in both our original model (OR = 0.99; 95% CI, 0.98-0.99, < 0.0001) and the minimum adjusted model (OR = 0.99; 95% CI, 0.98-0.99, < 0.0001). A fully adjusted model did not change the significance of the negative correlation between potassium consumption and albuminuria (OR = 0.99; 95% CI, 0.98-1.00, = 0.0005), indicating that each unit increase in potassium intake was related with a 1% decrease in the chance of developing albuminuria. The negative correlation between potassium intake and albuminuria was not significantly influenced by sex, age, BMI, hypertension, diabetes, or smoking, according to interaction tests ( for interaction >0.05).
Reduced risk of albuminuria was linked to higher dietary potassium intake. The particular mechanism linking the two still has to be explained by several inventive and prospective studies.
尽管人体需要大量钾,但研究已揭示饮食钾摄入量与蛋白尿之间的关系。我们的研究聚焦于饮食钾摄入量与蛋白尿之间的联系。
本研究采用亚组分析和加权多元回归分析。对来自美国国家健康与营养检查调查(NHANES)的数据进行检查,以确定尿白蛋白与肌酐比值(ACR)及参与者年龄(20岁及以上)。ACR>30mg/g为蛋白尿阈值。
该研究共纳入7564名个体。在我们的原始模型(OR = 0.99;95%CI,0.98 - 0.99,<0.0001)和最小调整模型(OR = 0.99;95%CI,0.98 - 0.99,<0.0001)中,二者之间的联系均具有显著性。完全调整模型并未改变钾摄入量与蛋白尿之间负相关的显著性(OR = 0.99;95%CI,0.98 - 1.00,= 0.0005),表明钾摄入量每增加一个单位,发生蛋白尿的几率就降低1%。根据交互作用检验(交互作用P>0.05),钾摄入量与蛋白尿之间的负相关不受性别、年龄、BMI、高血压、糖尿病或吸烟的显著影响。
较高的饮食钾摄入量与蛋白尿风险降低有关。两者之间的具体机制仍有待多项创新性前瞻性研究来阐释。