Abstract
Individual cardiometabolic risk factors (CMRFs) are contributors to reduced kidney function, their cumulative impact and population-specific differences remain unclear. This cross-sectional study investigated the association between incremental CMRFs and estimated glomerular filtration rate (eGFR). We analyzed data from two nationally representative surveys, China Health and Retirement Longitudinal Study wave 3 (N = 10,043) and the U.S. Health and Retirement Study wave 13 (N = 9,373), comprising 19,416 participants aged ≥45 years. Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations, integrating serum creatinine and cystatin C, were applied to calculate eGFR(scr-cysc), categorized into normal (≥90 mL/min/1.73 m(2)), mildly decreased (60-89 mL/min/1.73 m(2)), and moderately/severely decreased (<60 mL/min/1.73 m(2)). Multinomial logistic regression was employed to assess the association between cumulative CMRFs (0-5) and eGFR(scr-cysc) categories, adjusting for covariables. Analyses were conducted on unweighted data without applying complex survey sampling weights. A graded association between the cumulative burden of CMRFs and eGFR(scr-cysc) decline was observed. Each additional CMRF was associated with an increased risk of mild eGFR(scr-cysc) decline in the fully adjusted model (relative risk ratio [RRR] = 1.141, 95% confidence interval [95% CI]: 1.108-1.175) and moderate/severe eGFR(scr-cysc) decline (RRR = 1.433, 95% CI: 1.364-1.505). Participants with five CMRFs had a significantly higher risk of moderate/severe eGFR(scr-cysc) decline compared to those without CMRFs (RRR = 6.178; 95% CI: 3.718-10.268). Predictive margins showed that eGFR(scr-cysc) decline was more prevalent in the American population compared to the Chinese population. These cross-sectional findings suggest that integrating routine screening and management of cardiometabolic risk factors into CKD prevention programs may help protect kidney health in aging populations.