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A cross-sectional analysis evaluated NHANES 2009–2018 data from 15,174 US adults. Daily water intake was estimated from two 24-hour recalls, using water intake/body weight as the key variable. Multivariable regression and generalized additive models assessed associations, and mediation testing evaluated osmolality as a pathway.",{"@graph":69,"@context":126},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/quantity-effect-correlation-between-water-intake-and-serum-uric-acid-in-us-adults-a-cross-sectional-study-based-on-nhanes-data/456687/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/quantity-effect-correlation-between-water-intake-and-serum-uric-acid-in-us-adults-a-cross-sectional-study-based-on-nhanes-data/456687.png","ImageObject",300,407,{"name":92,"@type":93},"Jiven","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-06","2026-09-30",true,{"@type":102,"interactionType":103,"userInteractionCount":81},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118,122],{"name":109,"@type":110,"acceptedAnswer":111},"What was the main objective of the study?","Question",{"text":112,"@type":113},"To investigate the quantity-effect correlation between water intake and serum uric acid (SUA) in US adults and clarify whether the relationship is mediated by plasma osmolality.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How was water intake measured and operationalized in the analysis?",{"text":117,"@type":113},"Daily water intake was estimated using the average of two 24-hour dietary recalls, and the ratio of water intake to body weight (g/kg) was used as the treatment variable.",{"name":119,"@type":110,"acceptedAnswer":120},"What relationship did the study find between water intake/body weight and SUA?",{"text":121,"@type":113},"Water intake/body weight was negatively correlated with SUA after adjustment. The association was nonlinear, showing an L-shaped curve with inflection points at 7.591 g/kg and 33.57 g/kg depending on the water measure.",{"name":123,"@type":110,"acceptedAnswer":124},"Did plasma osmolality mediate the effect of water intake on SUA?",{"text":125,"@type":113},"Yes. Mediation analysis indicated that plasma osmolality mediated the relationship, with reported mediating effects of 9.14% and 5.84% for total plain water/body weight and total moisture/body weight, respectively.","https://schema.org",{"og:url":83,"og:type":128,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":130,"canonical":83},"index,follow",{"doc_id":132,"site_id":62},456687,1791107138,{"code":4,"msg":5,"data":135},{"doc_id":132,"user_id":136,"nickname":92,"user_avatar":137,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":138,"file_id":139,"file_url":140,"file_type":141,"file_size":142,"view_count":81,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":143,"language":144,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":145,"faqs":146,"seo_title":147,"seo_description":67,"update_tm":148,"read_time":149},1099513958607,"https://ap-avatar.wpscdn.com/avatar/100002390cf8733938c?x-image-process=image/resize,m_fixed,w_180,h_180&k=1778829742770036399","Quantity-effect correlation between water intake and serum uric acid in US adults: a cross-sectional study based on NHANES data  \nXiang-Liang Meng1\\#, Chao Zhang1\\#, Tao Liu2\\#, Zhao-Kun Shi1, Yi-Xin Zhang1, Wei Hu1, Ling-Di Chang1, Jun Ding3, Xiao-Long Cao4, Li Guo5, Ke-Ying Zhang1, Wei-Jun Qin1  \n1Department of Urology, Xijing Hospital, Air Force Medical University, Xi’an, China; 2Department of Medical Service, The Hospital of Hebei Armed Police Corps, Shijiazhuang, China; 3Department of Urology, No. 904th Hospital of The PLA Joint Logistics Support Force, Wuxi, China; 4Department of General Practice, The Hospital of the 94857th Troop of the People’s Liberation Army of China, Wuhu, China; 5Department of Outpatient, the 986th Hospital of Air Force, Xi’an, China  \nContributions: (I) Conception and design: WJ Qin, KY Zhang, L Guo; (II) Administrative support: XL Meng, C Zhang, T Liu; (III) Provision of study materials or patients: ZK Shi, W Hu; (IV) Collection and assembly of data: LD Chang; (V) Data analysis and interpretation: XL Cao, YX Zhang, J Ding; (VI) Manuscript writing: All authors; (VII) Final approval of manuscript: All authors.  \n\\#These authors contributed equally to this work as co-first authors.  \nCorrespondence to: Wei-Jun Qin, MD; Ke-Ying Zhang, MD. Department of Urology, Xijing Hospital, Air Force Medical University, No. 127 Changle West Road, Xi’an 710032, China. Email: [qinwj@fmmu.edu.cn](qinwj@fmmu.edu.cn); [zhangky@fmmu.edu.cn](zhangky@fmmu.edu.cn); Li Guo, MD. Department of Outpatient, the 986th Hospital  \nof Air Force, No. 269 Youyi East Road, Xi’an 710054, China. Email: [sderzdej@126.com](sderzdej@126.com).  \nBackground: Hyperuricemia (HUA) imposes a substantial clinical and public health burden, affecting  \n43 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  \nSUA.  \nMethods: 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.  \nTo 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  \nbetween water intake and SUA levels.  \nResults: The final 15,174 participants had a mean age of 44.28±16.33 years (49.0% male), with SUAquartiles 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\u003C0.001), 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  \nintake/body weight, respectively.  \nConclusions: This study found a negative correlation between water intake/body weight and SUA, particularly in females. Moreover, the negative relationship exhibited nonlin","cbCaigw7dOJflw5L","https://ap.wps.com/l/cbCaigw7dOJflw5L","pdf",484606,15,"English","# Background\n# Methods\n# Results\n# Conclusions\n# Highlight box\n## Key findings","[{\"question\":\"What was the main objective of the study?\",\"answer\":\"To investigate the quantity-effect correlation between water intake and serum uric acid (SUA) in US adults and clarify whether the relationship is mediated by plasma osmolality.\"},{\"question\":\"How was water intake measured and operationalized in the analysis?\",\"answer\":\"Daily water intake was estimated using the average of two 24-hour dietary recalls, and the ratio of water intake to body weight (g/kg) was used as the treatment variable.\"},{\"question\":\"What relationship did the study find between water intake/body weight and SUA?\",\"answer\":\"Water intake/body weight was negatively correlated with SUA after adjustment. The association was nonlinear, showing an L-shaped curve with inflection points at 7.591 g/kg and 33.57 g/kg depending on the water measure.\"},{\"question\":\"Did plasma osmolality mediate the effect of water intake on SUA?\",\"answer\":\"Yes. Mediation analysis indicated that plasma osmolality mediated the relationship, with reported mediating effects of 9.14% and 5.84% for total plain water/body weight and total moisture/body weight, respectively.\"}]","Quantity-effect correlation between water intake and serum uric acid in US adults - a cross-sectional study based on NHANES data | PDF",1790746725,38]