氧化平衡评分与慢性肾脏病的关系1999-2018 年国家健康调查

Haibin Wen, Xianhua Li, Jiangming Chen, Yi Li, Nailong Yang, Ning Tan
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摘要

氧化平衡评分(OBS)可量化受饮食和生活方式影响的抗氧化剂和促氧化剂之间的平衡,鉴于氧化应激在慢性肾脏病(CKD)中的重要作用,该评分至关重要。本研究旨在利用美国国家健康与营养调查(NHANES)1999-2018 年的数据,确定 OBS 与 CKD 之间的关联。OBS由20个因素组成,包括膳食营养素和生活方式行为。采用加权逻辑回归模型评估了OBS与CKD风险之间的关系,并对潜在的混杂因素进行了调整,用广义加法模型(GAM)检验了非线性关联。在分析的32120名参与者中,有4786人被确认患有慢性肾脏病。完全调整加权逻辑回归分析显示,OBS 每增加一个单位,CKD 患病率就会降低 2% [OR: 0.98 (0.98-0.99),P < 0.001]。OBS 四分位数越高,患慢性肾脏病的风险越低 [Q4 vs. Q1: OR: 0.82 (0.68-0.98), P = 0.03; P for trend = 0.01]。GAM和平滑曲线拟合表明,OBS与CKD风险之间存在线性关系。我们从 NHANES 数据中得出的研究结果证实,在美国人群中,OBS 与 CKD 风险之间存在显著的反比关系,强调了优化饮食和生活方式因素在控制 CKD 风险中的作用。这些结果主张将 OBS 纳入 CKD 预防和治疗策略中。
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Association of oxidative balance score with chronic kidney disease: NHANES 1999-2018
The Oxidative Balance Score (OBS), which quantifies the balance between antioxidants and pro-oxidants influenced by diet and lifestyle, is crucial given oxidative stress’s significant role in Chronic Kidney Disease (CKD). This study aims to determine the association between OBS and CKD using data from the National Health and Nutrition Examination Survey (NHANES) 1999-2018.We analyzed data from the National Health and Nutrition Examination Survey (NHANES) spanning 1999 to 2018. OBS was constructed from a detailed array of 20 factors, including dietary nutrients and lifestyle behaviors. The relationship between OBS and CKD risk was evaluated using weighted logistic regression models, adjusted for potential confounders, with a generalized additive model (GAM) examining non-linear associations. Subgroup analyses and interaction effects across diverse demographic and clinical groups, along with sensitivity analyses, were performed to validate the findings.Among 32,120 participants analyzed, 4,786 were identified with CKD. Fully adjusted weighted logistic regression analysis revealed that each unit increase in OBS was associated with a 2% reduction in CKD prevalence [OR: 0.98 (0.98–0.99), P < 0.001]. Higher OBS quartiles were significantly correlated with a decreased CKD risk [Q4 vs. Q1: OR: 0.82 (0.68–0.98), P = 0.03; P for trend = 0.01]. The GAM and smoothed curve fit indicated a linear relationship between OBS and the risk of CKD. Stratified and sensitivity analyses further substantiated the inverse relationship between OBS and CKD prevalence.Our findings from the NHANES data affirm a significant inverse association between OBS and CKD risk in the U.S. population, underscoring the role of optimizing dietary and lifestyle factors in managing CKD risk. These results advocate for incorporating OBS considerations into CKD prevention and treatment strategies.
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