Association of Obesity and Lipid Indexes with Kidney Function Decline in a Chinese Cohort

A longitudinal cohort study of 3,829 middle-aged and older adults in China investigates the association between 20 obesity and lipid indexes and rapid kidney function decline (RKFD) or progression to chronic kidney disease (CKD). The analysis, authored by Wen-Ze Jiang and posted on figshare, used multivariate logistic regression, restricted cubic spline analysis, and ROC curve analysis to assess and compare the predictive value of non-invasive and invasive anthropometric indexes. The study identified 192 cases of RKFD and 60 cases of CKD progression.

Use Cases

• Comparing the predictive performance of different obesity and lipid indexes (e.g., TyG, CVAI) for kidney disease risk based on ROC analysis described.
• Investigating nonlinear relationships between anthropometric measures (e.g., WHtR, BRI) and renal outcomes using restricted cubic spline regression methods mentioned.
• Conducting subgroup analyses for CKD risk based on hypertension, diabetes, or cardiovascular disease status as performed in the study.
• Evaluating the association between invasive versus non-invasive anthropometric indexes and rapid kidney function decline as a core study aim.

Strengths

• Includes results from a large longitudinal cohort of 3,829 participants.
• Compares a specific set of 20 different obesity and lipid indexes.
• Reports concrete outcome counts: 192 cases of rapid kidney function decline and 60 cases of CKD progression.

Limitations

• The underlying data file is a DOCX document (11.9 KB), suggesting the primary data is likely summarized results, not the raw individual-level dataset.
• Row count and column-level documentation for any underlying data are unknown.
• Description metadata is limited; actual data quality and structure require manual inspection after download.

Provenance

Source

China Health and Retirement Longitudinal Study (CHARLS)

Collection Method

Longitudinal cohort study employing multivariate logistic regression and ROC analysis.

Freshness

Last updated 2026-05-04 05:34:25; freshness should be verified.

Geography

China