The cross-sectional correlation between the oxidative balance score and cardiometabolic risk factors and its potential correlation with longitudinal mortality in patients with cardiometabolic risk factors.

lai qiancheng, Liu Ye, Jun Luo, Cheng Zhang, shao yue
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Abstract

Abstract Background: This study sought to analyze the correlation between oxidative balance score (OBS) and cardiometabolic risk factors (CMRFs) and mortality in individuals with CMRFs. Methods: Data were chosen from the National Health and Nutrition Examination Survey. The survey-weighted multivariable logistic regression models were implemented to explore the relationship between OBS and the risk of CMRFs. Then, Cox proportional hazard models were employed to estimate the impact of OBS on mortality in individuals with CMRFs. Results: Following multivariate adjustment, the subjects in the highest quartile exhibited a 46% reduction in the risk of CMRFs, a 33% reduction in the risk of diabetes, a 31% reduction in the risk of hypertension, and a 36% reduction in the risk of hyperlipidemia, compared with those in the lowest quartile. Furthermore, each 1-unit increase in OBS was remarkably negatively correlated with the prevalence of CMRFs, diabetes, hypertension, and hyperlipidemia. The correlation between OBS and CMFRs was found to be mediated by serum ?-glutamyltransferase (GGT) and white blood cells (WBC), and the mediation effect of GGT levels and WBC, accounting for 6.90% and 11.51%, respectively. Lastly, the multivariate Cox regression model revealed that elevated OBS, irrespective of whether it was treated as a categorical or continuous variable, exhibited a significant association with decreased mortality from all causes, cardiovascular disease, and cancer. Conclusions: An increased OBS might reflect a lower risk of CMRFs and a favorable prognosis for individuals with CMRFs. Moreover, WBC and GGT may play a potential mediating role between OBS and CMRFs.
氧化平衡评分与心脏代谢危险因素的横断面相关性及其与心脏代谢危险因素患者纵向死亡率的潜在相关性
背景:本研究旨在分析氧化平衡评分(OBS)与心血管代谢危险因素(CMRFs)和CMRFs患者死亡率之间的相关性。方法:数据来源于全国健康与营养检查调查。采用调查加权多变量logistic回归模型探讨OBS与CMRFs风险之间的关系。然后,采用Cox比例风险模型估计OBS对CMRFs患者死亡率的影响。结果:经过多因素调整,与最低四分位数的受试者相比,最高四分位数的受试者CMRFs风险降低46%,糖尿病风险降低33%,高血压风险降低31%,高脂血症风险降低36%。此外,OBS每增加1个单位与CMRFs、糖尿病、高血压和高脂血症的患病率呈显著负相关。血清-谷氨酰转移酶(GGT)和白细胞(WBC)介导了OBS与CMFRs的相关性,GGT水平和WBC的介导作用分别占6.90%和11.51%。最后,多变量Cox回归模型显示,无论将OBS作为分类变量还是连续变量处理,OBS升高都与全因死亡率、心血管疾病和癌症的降低有显著关联。结论:增加的OBS可能反映CMRFs的风险较低,并且对CMRFs患者有良好的预后。此外,WBC和GGT可能在OBS和CMRFs之间发挥潜在的中介作用。
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