ArticleTranslational andrology and urology2021
Relationship between urine specific gravity and the prevalence rate of kidney stone.
Article in Translational andrology and urology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Reference intervals for urine creatinine-to-specific gravity ratio as an indicator of relative creatinine excretion rate: a cross-sectional study.Annals of medicine and surgery (2012) · 2025Article
- Dietary index for gut microbiota and its protective role against kidney stones: evidence of diabetes as a mediator from NHANES cross-sectional data.Frontiers in nutrition · 2025Article
- Relationship between remnant cholesterol and risk of kidney stones in U.S. Adults: a 2007-2016 NHANES analysis.Annals of medicine · 2024Article
- Spectrochip-based Calibration Curve Modeling (CCM) for Rapid and Accurate Multiple Analytes Quantification in Urinalysis.Heliyon · 2024Article
- Localized Surface Plasmon Resonance Sensing and its Interplay with Fluidics.Langmuir : the ACS journal of surfaces and colloids · 2024Review
- Observational
- Kidney stones are associated with metabolic syndrome in a health screening population: a cross-sectional study.Translational andrology and urology · 2023Article
- Is the METS-IR Index a Potential New Biomarker for Kidney Stone Development?Frontiers in endocrinology · 2022Article
- The Association of Urine Creatinine With Kidney Stone Prevalence in US Adults: Data From NHANES 2009-2018.Frontiers in medicine · 2022Article
- Triglyceride-Glucose Index as a Novel Biomarker in the Occurrence of Kidney Stones: A Cross-Sectional Population-Based Study.International journal of general medicine · 2021Article
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8 authors.
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Abstract
backgroundThe purpose of this study was to evaluate the relationship between urine specific gravity (USG) and the prevalence rate of kidney stone.
methodsWe conducted a cross-sectional study of adult participants (≥20 years) of the National Health and Nutrition Examination Survey (NHANES) from 2007 to 2008. The USG was divided into three groups: <1.008, 1.008-1.020 and >1.020. Univariate and multivariate logistic regression analysis was used to determine the effect of USG on the prevalence rate of kidney stone.
resultsA total of 4,791 patients were included in this study, of which 464 (9.7%) reported a history of kidney stone. Univariate logistic regression analysis showed that age, gender, race, hypertension, diabetes, body mass index (BMI), estimated glomerular filtration rate (eGFR), USG and urine creatinine were closely related to the prevalence of kidney stones. After adjusting for known confounding factors, multivariate logistic regression showed that the prevalence rate of kidney stone increased with the increase of USG (1.008-1.020
conclusionsThe increase of USG was significantly correlated with self-reported kidney stone. This finding helps to identify risk factors for kidney stones as early as possible in the United States.
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