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Nonlinear relationship between oxidative balance score and hyperuricemia: analyses of NHANES 2007–2018

Fengmin Liu, Fangqin You, Lihang Yang, Xiaojuan Du, Cheng Li, Geng Chen, Diya Xie

2024Nutrition Journal28 citationsDOIOpen Access PDF

Abstract

BACKGROUND: Limited data regarding the correlation between oxidative balance score (OBS) and hyperuricemia highlights the necessity for thorough investigations. This study aims to examine the link between OBS, which incorporates dietary and lifestyle factors, and the occurrence of hyperuricemia. METHODS: We conducted a cross-sectional study involving 13,636 participants from the 2007-2018 National Health and Nutrition Examination Survey (NHANES). The oxidative balance score (OBS) was determined based on four lifestyle factors and sixteen dietary nutrients. We assessed the levels of serum uric acid (SUA) and the occurrence of hyperuricemia as outcomes. Weighted logistic regression and linear models were used for statistical analysis, using Restricted Cubic Splines (RCS) to examine potential nonlinear associations. Subgroup analysis and sensitivity assessments were performed to identify any variations and ensure the robustness of the findings. RESULTS: Higher OBS was consistently correlated with decreased SUA levels and a reduced prevalence of hyperuricemia. RCS highlighted a significant negative nonlinear association, particularly in females. Subgroup analysis revealed gender-based differences and interactive correlation, providing additional insights regarding OBS and hyperuricemia relationship. CONCLUSION: This study underscores a robust negative correlation between OBS and SUA levels as well as the incidence of hyperuricemia, emphasizing the importance of dietary and lifestyle factors. Incorporating RCS, subgroup analysis, and sensitivity assessments enhances the depth of our findings, providing valuable insights for further research.

Topics & Concepts

HyperuricemiaMedicineNational Health and Nutrition Examination SurveyClinical nutritionSubgroup analysisUric acidLogistic regressionInternal medicineCorrelationEnvironmental healthMeta-analysisPopulationMathematicsGeometryGout, Hyperuricemia, Uric AcidExercise and Physiological ResponsesDiet, Metabolism, and Disease
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