ArticleTranslational andrology and urology2025
Quantity-effect correlation between water intake and serum uric acid in US adults: a cross-sectional study based on NHANES data.
Article in Translational andrology and urology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Factors associated with hyperuricemia in overweight or obese adults of Shenzhen, China.Scientific reports · 2026Article
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12 authors.
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Abstract
Background: Hyperuricemia (HUA) imposes a substantial clinical and public health burden, affecting 43 million adults in the U.S. and 170 million in China. Increased hydration is often recommended as a preventive measure for HUA, but the quantity-effect correlation between water intake and serum uric acid (SUA) is unclear. This study aimed to investigate the quantity-effect correlation between water intake and SUA. Methods: This cross-sectional study evaluated the data of 15,174 participants from the National Health and Nutritional Examination Surveys (NHANES) 2009-2018. The SUA levels (mg/dL) of all the participants were tested, and their daily water intake (g) was estimated based on the average of two 24-hour dietary recalls. To more accurately assess individual water consumption, the ratio of water intake to body weight (g/kg) was employed as a treatment variable. Multivariate linear regression models were used to evaluate the association between the two variables. Generalized additive models with smooth curve fittings were also applied. A Sobel-Goodman analysis was conducted to determine whether osmolality served as a mediator between water intake and SUA levels. Results: The final 15,174 participants had a mean age of 44.28±16.33 years (49.0% male), with SUA quartiles showing significant differences in sex, age, and lifestyle factors. The multivariate regression analyses showed that water intake/body weight was negatively correlated with SUA after adjustment for other confounders. Subgroup analyses stratified by sex showed that this negative correlation was more significant in females. Further, a nonlinear negative correlation between water intake/body weight and SUA was observed in the generalized additive model (P<0.001), showing an L-shaped curve (inflection points: 7.591 and 33.57 g/kg for total plain water consumption/body weight and total moisture intake/body weight, respectively). Plasma osmolality mediated the relationship between water intake/body weight and SUA, with mediating effects of 9.14% and 5.84% for total plain water consumption/body weight and total moisture intake/body weight, respectively. Conclusions: This study found a negative correlation between water intake/body weight and SUA, particularly in females. Moreover, the negative relationship exhibited nonlinear characteristics, following an L-shaped curve. Plasma osmolality was found to play a mediating role in the reduction of SUA by water intake. These findings support personalized water intake guidance-targeting intake below inflection points (7.591 g/kg for total plain water, 33.57 g/kg for total moisture) may optimize SUA reduction (especially in females) and inform non-pharmacological HUA management in clinical practice.
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