Association between weight-adjusted-waist index and the risk of hyperuricemia in adults: a population-based investigation

Objective: This investigation sought to elucidate the potential correlation between a recently characterized adiposity metric, termed the Weight-Adjusted-Waist Index (WWI) and hyperuricemia. Methods: A cross-sectional design was employed in this study, featuring both hyperuricemic and non-hyperurice...

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Hauptverfasser: Ding, Yunyi (VerfasserIn) , Xu, Zhuohan (VerfasserIn) , Zhou, Xue (VerfasserIn) , Luo, Yichen (VerfasserIn) , Xie, Ruijie (VerfasserIn) , Li, Yayu (VerfasserIn)
Dokumenttyp: Article (Journal)
Sprache:Englisch
Veröffentlicht: 11 October 2023
In: Frontiers in endocrinology
Year: 2023, Jahrgang: 14, Pages: 1-9
ISSN:1664-2392
DOI:10.3389/fendo.2023.1236401
Online-Zugang:Verlag, kostenfrei, Volltext: https://doi.org/10.3389/fendo.2023.1236401
Verlag, kostenfrei, Volltext: https://www.frontiersin.org/articles/10.3389/fendo.2023.1236401
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Verfasserangaben:Yunyi Ding, Zhuohan Xu, Xue Zhou, Yichen Luo, Ruijie Xie and Yayu Li

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520 |a Objective: This investigation sought to elucidate the potential correlation between a recently characterized adiposity metric, termed the Weight-Adjusted-Waist Index (WWI) and hyperuricemia. Methods: A cross-sectional design was employed in this study, featuring both hyperuricemic and non-hyperuricemic subjects with complete WWI data, sourced from the National Health and Nutrition Examination Survey (NHANES) spanning 2017 to March 2020. WWI was calculated utilizing the formula which involves the division of waist circumference (WC) by the square root of the body weight. In order to determine the relationship between WWI and hyperuricemia, both univariate and multivariate logistic regression models, appropriately weighted, were employed in the analysis. The linearity of relationships was validated using smooth curve fitting. Additionally, subgroup evaluations and interaction assessments were conducted. Results: The study sample comprised 7437 subjects, yielding a hyperuricemia prevalence of 18.22%. Stratifying WWI into tertiles, a progressive rise in hyperuricemia prevalence was evident with increasing WWI (Tertile 1: 11.62%, Tertile 2: 17.91%, Tertile 3: 25.13%). The odds ratio (OR) demonstrated that individuals within the highest WWI tertile were significantly more prone to hyperuricemia than those in the lowest tertile (OR = 2.41, 95% CI: 1.88-3.08). Conclusion: This study provides evidence that an elevated WWI is correlated with an increased risk of hyperuricemia in the adult population of the United States. These results suggest that WWI may serve as a viable anthropometric indicator for predicting hyperuricemia. 
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