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ORIGINAL RESEARCH article

Front. Endocrinol.

Sec. Renal Endocrinology

Volume 16 - 2025 | doi: 10.3389/fendo.2025.1525078

Association between cumulative average triglyceride glucose-body mass index and the risk of CKD onset

Provisionally accepted
Jie Hou Jie Hou *Yu Wang Yu Wang Bin Chen Bin Chen Chongsen Zang Chongsen Zang
  • First Affiliated Hospital of Jilin University, Changchun, China

The final, formatted version of the article will be published soon.

    Background: Chronic kidney disease (CKD) has become a significant global public health challenge, which was reported to be highly correlated with the triglyceride glucose-body mass index (TyG-BMI). Nevertheless, literature exploring the association between changes in the TyG-BMI and CKD incidence is scant, with most studies focusing on individual values of the TyG-BMI. We aimed to investigate whether cumulative average in the TyG-BMI were associated with CKD incidence.Methods: Data in our study were obtained from the China Health and Retirement Longitudinal Study (CHARLS), which is an ongoing nationally representative prospective cohort study. The exposures was the cumulative average TyG-BMI from 2011 to 2015. The TyG-BMI was calculated by the formula ln [TG (mg/dl) × FBG (mg/dl)/2] × BMI (kg/m 2 ), and the cumulative average TyG-BMI was calculated as follows: (TyG-BMI2011+ TyG-BMI2015)/2. Logistic regressions were used to determine the association between different quartiles of cumulative average TyG-BMI and CKD incidence. Meanwhile, restricted cubic spline was applied to examine the potential nonlinear association of the cumulative average TyG-BMI and CKD incidence. In addition, subgroup analysis was used to test the robustness of results.Results: Of the 6117 participants (mean [SD] age at baseline, 58.64 [8.61] years), 2793 (45.7%) were men. During the 4 years of follow-up, 470 (7.7%) incident CKD cases were identified. After adjusting for potential confounders, compared to the participants in the lowest quartile of cumulative average TyG-BMI, participants in the 3rd and 4th quartile had a higher risk of CKD onset. The ORs and 95%CIs were [1.509(1.147, 1.990)] and [1.452(1.085, 1.948)] respectively. In addition, restricted cubic spline showed the cumulative average TyG-BMI had a liner association (p-nonlinear = 0.139).The cumulative average in the TyG-BMI are independently associated with the risk of CKD in middle-aged and older adults. Monitoring long-term changes in the TyG-BMI may assist with the early identification of individuals at high risk of CKD.

    Keywords: CHARLS, Chronic Kidney Disease, Triglyceride glucose-body mass index,, old age., Cumulative change

    Received: 11 Nov 2024; Accepted: 10 Mar 2025.

    Copyright: © 2025 Hou, Wang, Chen and Zang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Jie Hou, First Affiliated Hospital of Jilin University, Changchun, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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