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Background <p>Although previous studies have evaluated the association between the Dietary Index for Gut Microbiota (DI-GM) and kidney stone formation, highlighting the potential role of diet-modulated gut microbiota in urolithiasis; however, the underlying mechanisms remain unclear. In particular, the mediating role of body mass index (BMI) in the relationship between DI-GM and kidney stone risk has not yet been thoroughly investigated.</p> Methods <p>This cross-sectional study used data from the National Health and Nutrition Examination Survey (NHANES) spanning 2007–2018. We applied weighted multivariable logistic regression models, restricted cubic spline (RCS) analysis, and subgroup analyses to examine the relationship between DI-GM and kidney stones. Additionally, mediation analysis was conducted to evaluate the potential role of BMI.</p> Results <p>The present study comprised a total of 29,988 participants, of whom 2,852 had a history of kidney stones. Fully adjusted model demonstrated an inverse association of DI-GM with kidney stones (odds ratio = 0.96, 95% CI: 0.93–0.99, <i>P</i> = 0.004). RCS analysis indicated a non-linear association (<i>P</i> for non-linearity &lt; 0.001). Mediation analysis estimated that BMI accounted for 9.8% of the total effect of DI-GM on kidney stones risk.</p> Conclusion <p>While prior studies have demonstrated a link between DI-GM and kidney stones, our findings extend this knowledge by identifying BMI as a significant mediator of this relationship. These results provide new insights into the potential pathways linking diet, gut microbiota, body weight, and kidney stone risk. Further longitudinal studies are needed to confirm these findings and clarify causal relationships.</p>

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Body mass index mediates the association between the dietary index for gut microbiota and kidney stones: a cross-sectional study

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年10月9日

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  • Jian Wu

摘要

Background

Although previous studies have evaluated the association between the Dietary Index for Gut Microbiota (DI-GM) and kidney stone formation, highlighting the potential role of diet-modulated gut microbiota in urolithiasis; however, the underlying mechanisms remain unclear. In particular, the mediating role of body mass index (BMI) in the relationship between DI-GM and kidney stone risk has not yet been thoroughly investigated.

Methods

This cross-sectional study used data from the National Health and Nutrition Examination Survey (NHANES) spanning 2007–2018. We applied weighted multivariable logistic regression models, restricted cubic spline (RCS) analysis, and subgroup analyses to examine the relationship between DI-GM and kidney stones. Additionally, mediation analysis was conducted to evaluate the potential role of BMI.

Results

The present study comprised a total of 29,988 participants, of whom 2,852 had a history of kidney stones. Fully adjusted model demonstrated an inverse association of DI-GM with kidney stones (odds ratio = 0.96, 95% CI: 0.93–0.99, P = 0.004). RCS analysis indicated a non-linear association (P for non-linearity < 0.001). Mediation analysis estimated that BMI accounted for 9.8% of the total effect of DI-GM on kidney stones risk.

Conclusion

While prior studies have demonstrated a link between DI-GM and kidney stones, our findings extend this knowledge by identifying BMI as a significant mediator of this relationship. These results provide new insights into the potential pathways linking diet, gut microbiota, body weight, and kidney stone risk. Further longitudinal studies are needed to confirm these findings and clarify causal relationships.