Evidence map›Paper›PMID 40416386›Full record

ArticleFrontiers in nutrition2025

Association between the skeletal muscle-to-visceral fat ratio and kidney stones: a cross-sectional study.

Yuan-Zhuo Du, Jia-Qing Yang, Jian Tang, Chi-Teng Zhang, Yi-Fu Liu

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Article in Frontiers in nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yuan-Zhuo Du *Department of Urology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Jia-Qing Yang *Department of Urology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Jian TangThe Second Affiliated Hospital, Department of Urology, Hengyang Medical School, University of South China, Hengyang, Hunan, China.
Chi-Teng ZhangThe Second Affiliated Hospital, Department of Urology, Hengyang Medical School, University of South China, Hengyang, Hunan, China.
Yi-Fu LiuThe Second Affiliated Hospital, Department of Urology, Hengyang Medical School, University of South China, Hengyang, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Prior research has suggested links between skeletal muscle mass and visceral fat volume with kidney stone formation. However, the link between the skeletal muscle-to-visceral fat ratio (SVR) and kidney stone risk remains to be clarified. This study aims to explore the relationship between SVR and the risk of kidney stones, analyzing data from the National Health and Nutrition Examination Survey (NHANES). Methods: The research encompassed 8,522 individuals from NHANES surveys from 2011 to 2018. Kidney stones were diagnosed through a standardized questionnaire, and SVR was calculated using dual-energy X-ray absorptiometry (DXA). Participants were grouped into quartiles based on their SVR. All data underwent weighting according to official guidelines. Logistic regression models assessed the correlation between SVR and kidney stone incidence, and subgroup analysis was employed to investigate its stability. Results: Among the participants, 675 individuals, representing 8.73%, received a diagnosis of kidney stones, with an average age of 39.29 years (±0.28). Findings indicate that lower SVR correlates with increased kidney stone risk. Within the comprehensively adjusted multivariate model, compared to the lowest SVR quartile, the second, third, and fourth quartiles demonstrated significantly reduced risks, with ORs of 0.63 (95% CI = 0.47-0.84), 0.57 (95% CI = 0.42-0.79), and 0.39 (95% CI = 0.25-0.61), respectively. Restricted cubic spline (RCS) regression models demonstrated a non-linear relationship between SVR and kidney stone risk. The subgroup analysis demonstrated no significant differences in weighted associations across subgroups (interaction Conclusion: The findings underscore that lower SVR correlates with increased kidney stone risk, a relationship that remains consistent across most demographics.

Indexed as

cross-sectional studykidney stonesNHANESskeletal muscleskeletal muscle-to-visceral fat ratiovisceral fat

Identifiers

PMID40416386
PMCPMC12101122

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.