Association and interaction analysis of excess weight and chronic kidney disease for cardiovascular autonomic neuropathy in the general Chinese population

Abstract

Background: The purpose of this study was to evaluate the associations of excess weight (EW) and/or chronic kidney disease (CKD) with cardiovascular autonomic neuropathy (CAN), and to detect the extent to which interaction of EW and CKD has on the outcome in a Chinese sample. Method: We conducted a large-scale, population-based study to analyze the association and interaction of the two factors on CAN in a sample of 2092 Chinese people. Multiple linear regression analysis to include the two main factors and its interaction were employed to detect these relationships. Relative excess risk due to interaction (RERI), the proportion attributable to interaction (AP) and the synergy index (S) were used to estimate the effect of interaction on an additive scale can. Result: Multivariable logistic regression (MLR) indicated that body mass index (BMI) was independently associated with CAN (p = 0.006). In addition, a significant positive interaction between BMI and CKD on CAN was estimated (p = 0.042, RETI = 0.473, 95% CI: 0.0615–0.884, AP = 0.203, 95% CI: −0.055 to 0.461 and S = 1.550, 95% CI: 0.667–2.589). Conclusion: Our findings suggest that BMI is independently associated with CAN and offer evidence to support the hypothesis that excess weight and CKD have significant positive interactions on CAN.