Multicollinearity of variables.

Background As we all known oxidative stress and inflammation were interdependent and interconnected. Oxidative balance score (OBS) could assess the antioxidant capacity of an individual’s body. The purpose of this study sought to investigate the connection between OBS and the recently proposed inflammatory indicator——Systemic immune-inflammation index (SII). Methods The study incorporated 16,080 participants from National Health and Nutrition Examination Survey (NHANES) database (2003–2018). We utilized weight multivariable linear regression analyses to assess this association. Additionally, subgroup analyses and linear relationships were performed for deeper insights. The robustness of the findings was ensured by conducting multiple sensitivity analyses. Results In the multivariate model using the first OBS category as the reference, higher OBS quartiles had a significantly negative association with SII [β = −51.52 (95%CI: −68.31, −34.73), P for trend < 0.001]. The interaction test showed that age (P < 0.001) and hypertension (P = 0.043) had a significant effect on this connection. Restricted cubic splines plot with four knots illustrated a linear relationship between OBS and SII (P-non-liner = 0.677). The findings from the sensitivity analysis aligned with the outcomes of the primary analysis, confirming the consistency and reliability of the results. Conclusions OBS based on diet and lifestyle had a strongly negative association with SII. This study emphasized the importance of improving an individual’s overall antioxidant status through diet and lifestyle changes, highlighting its effectiveness in reducing inflammation index.研究背景 众所周知，氧化应激与炎症相互依存、紧密关联。氧化平衡评分（Oxidative Balance Score, OBS）可用于评估个体机体的抗氧化能力。本研究旨在探讨OBS与新近提出的炎症指标——全身免疫炎症指数（Systemic Immune-Inflammation Index, SII）之间的关联。 研究方法 本研究从2003-2018年美国国家健康与营养检查调查（National Health and Nutrition Examination Survey, NHANES）数据库中纳入了16080名参与者。本研究采用加权多变量线性回归分析评估二者的关联，此外还开展了亚组分析与线性关联分析以进行更深入的探讨，并通过多项敏感性分析确保研究结果的稳健性。 研究结果 以第一组OBS类别作为参照的多变量模型分析结果显示，更高的OBS四分位数组与SII呈显著负相关（β=-51.52，95%CI：-68.31~-34.73，趋势P<0.001）。交互作用检验表明，年龄（P<0.001）与高血压（P=0.043）对该关联存在显著影响。设置4个结点的限制性立方样条图显示OBS与SII呈线性相关（非线性P=0.677）。敏感性分析结果与主要分析结果一致，证实了本研究结果的一致性与可靠性。 研究结论 基于饮食与生活方式的OBS与SII呈显著负相关。本研究强调了通过调整饮食与生活方式改善个体整体抗氧化状态的重要性，凸显了该手段在降低炎症指标方面的有效性。