Association of insulin resistance indices with kidney stones and their recurrence in a non-diabetic population: an analysis based on NHANES data from 2007–2018
Objective To systematically evaluate the association between insulin resistance indices and the risk of kidney stones and their recurrence in U.S. non-diabetic individuals, while identifying predictive indicators.Materials and Methods This cross-sectional study analyzed data from the 2007–2018 NHANE...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2025-12-01
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| Series: | Renal Failure |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/0886022X.2025.2490203 |
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| author | Yu-Xuan Yang Jia-Cheng Xiang Gui-Chen Ye Kuang-Di Luo Shao-Gang Wang Qi-Dong Xia |
| author_facet | Yu-Xuan Yang Jia-Cheng Xiang Gui-Chen Ye Kuang-Di Luo Shao-Gang Wang Qi-Dong Xia |
| author_sort | Yu-Xuan Yang |
| collection | DOAJ |
| description | Objective To systematically evaluate the association between insulin resistance indices and the risk of kidney stones and their recurrence in U.S. non-diabetic individuals, while identifying predictive indicators.Materials and Methods This cross-sectional study analyzed data from the 2007–2018 NHANES. Five IR indices were calculated. Weighted logistic regression, restricted cubic spline, and mediation analyses were used to assess the independent associations between these indices and the risk of kidney stones and recurrence in non-diabetic individuals.Result This study of 9,605 non-diabetic participants showed an overall kidney stones incidence of 8.63% and a recurrence rate of 2.70%. Weighted logistic regression and RCS analyses revealed significant positive associations between METs-IR, HOMA-IR, TyG-BMI, and the risk of kidney stones and their recurrence. Every unit increase in METs-IR was linked to a 2% rise in the incidence of kidney stones (95% CI: 1.014–1.027, p < 0.001) and a 3.3% rise in recurrence (95% CI: 1.018–1.048, p < 0.001); each unit increase in HOMA-IR raised incidence by 5% (95% CI: 1.025–1.078, p < 0.001) and recurrence by 7.9% (95% CI: 1.041–1.118, p < 0.001). Adjusting for confounders shifted these relationships from nonlinear to linear (p > 0.05). METs-IR demonstrated the strongest diagnostic accuracy for predicting recurrence, with uric acid and vitamin D mediating associations between IR indices and the risk of kidney stones and their recurrence in non-diabetic individuals.Conclusion This study found that elevated IR indices (METs-IR, HOMA-IR, TyG-BMI) significantly increased kidney stone risk in a non-diabetic population. Serum uric acid and vitamin D mediated this association, with METs-IR best predicting kidney stones incidence and recurrence. |
| format | Article |
| id | doaj-art-d771db8938554b90b98b4ee1d5e08d10 |
| institution | OA Journals |
| issn | 0886-022X 1525-6049 |
| language | English |
| publishDate | 2025-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Renal Failure |
| spelling | doaj-art-d771db8938554b90b98b4ee1d5e08d102025-08-20T02:18:35ZengTaylor & Francis GroupRenal Failure0886-022X1525-60492025-12-0147110.1080/0886022X.2025.2490203Association of insulin resistance indices with kidney stones and their recurrence in a non-diabetic population: an analysis based on NHANES data from 2007–2018Yu-Xuan Yang0Jia-Cheng Xiang1Gui-Chen Ye2Kuang-Di Luo3Shao-Gang Wang4Qi-Dong Xia5Department and Institute of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, ChinaDepartment and Institute of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, ChinaDepartment and Institute of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, ChinaDepartment and Institute of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, ChinaDepartment and Institute of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, ChinaDepartment and Institute of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, ChinaObjective To systematically evaluate the association between insulin resistance indices and the risk of kidney stones and their recurrence in U.S. non-diabetic individuals, while identifying predictive indicators.Materials and Methods This cross-sectional study analyzed data from the 2007–2018 NHANES. Five IR indices were calculated. Weighted logistic regression, restricted cubic spline, and mediation analyses were used to assess the independent associations between these indices and the risk of kidney stones and recurrence in non-diabetic individuals.Result This study of 9,605 non-diabetic participants showed an overall kidney stones incidence of 8.63% and a recurrence rate of 2.70%. Weighted logistic regression and RCS analyses revealed significant positive associations between METs-IR, HOMA-IR, TyG-BMI, and the risk of kidney stones and their recurrence. Every unit increase in METs-IR was linked to a 2% rise in the incidence of kidney stones (95% CI: 1.014–1.027, p < 0.001) and a 3.3% rise in recurrence (95% CI: 1.018–1.048, p < 0.001); each unit increase in HOMA-IR raised incidence by 5% (95% CI: 1.025–1.078, p < 0.001) and recurrence by 7.9% (95% CI: 1.041–1.118, p < 0.001). Adjusting for confounders shifted these relationships from nonlinear to linear (p > 0.05). METs-IR demonstrated the strongest diagnostic accuracy for predicting recurrence, with uric acid and vitamin D mediating associations between IR indices and the risk of kidney stones and their recurrence in non-diabetic individuals.Conclusion This study found that elevated IR indices (METs-IR, HOMA-IR, TyG-BMI) significantly increased kidney stone risk in a non-diabetic population. Serum uric acid and vitamin D mediated this association, with METs-IR best predicting kidney stones incidence and recurrence.https://www.tandfonline.com/doi/10.1080/0886022X.2025.2490203Insulin resistance indicesNHANESinsulin resistancekidney stones |
| spellingShingle | Yu-Xuan Yang Jia-Cheng Xiang Gui-Chen Ye Kuang-Di Luo Shao-Gang Wang Qi-Dong Xia Association of insulin resistance indices with kidney stones and their recurrence in a non-diabetic population: an analysis based on NHANES data from 2007–2018 Renal Failure Insulin resistance indices NHANES insulin resistance kidney stones |
| title | Association of insulin resistance indices with kidney stones and their recurrence in a non-diabetic population: an analysis based on NHANES data from 2007–2018 |
| title_full | Association of insulin resistance indices with kidney stones and their recurrence in a non-diabetic population: an analysis based on NHANES data from 2007–2018 |
| title_fullStr | Association of insulin resistance indices with kidney stones and their recurrence in a non-diabetic population: an analysis based on NHANES data from 2007–2018 |
| title_full_unstemmed | Association of insulin resistance indices with kidney stones and their recurrence in a non-diabetic population: an analysis based on NHANES data from 2007–2018 |
| title_short | Association of insulin resistance indices with kidney stones and their recurrence in a non-diabetic population: an analysis based on NHANES data from 2007–2018 |
| title_sort | association of insulin resistance indices with kidney stones and their recurrence in a non diabetic population an analysis based on nhanes data from 2007 2018 |
| topic | Insulin resistance indices NHANES insulin resistance kidney stones |
| url | https://www.tandfonline.com/doi/10.1080/0886022X.2025.2490203 |
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