Abstract: Objective　To investigate the influencing factors of abnormal plasma viscosity (PV) and provide reference for the early prevention of chronic diseases. Methods　A total of 930 participants with abnormal PV (the abnormal group) were selected from the database of health examinees. After matching age, gender and type of work, 2 790 participants with normal PV (the normal group) were selected according to the ratio of normal group to abnormal group = 3∶1. Univariate analysis and conditional Logistic regression analysis were used to screen the related factors of abnormal PV. The aggregation of different levels of PV and related factors were demonstrated by correspondence analysed. The mediating effect verified the mediating role of PV between abnormal metabolic indicators and abnormal renal function. Results　The serum levels of creatinine (SCr), uric acid (UA), fasting plasma glucose (FPG), total cholesterol (TC) and triglyceride (TG) were significantly higher in the abnormal group than those in the normal group, while the estimated glomerular filtration rate (eGFR) was lower (P＜0.01). Conditional Logistic regression analysis showed that the higher SCr, TC and TG were risk factors for abnormal PV (P＜0.05). Correspondence analysis showed that during the gradual increase of PV, TC was the first to appear abnormal, followed by TG, and the increase of SCr appeared last. The mediating effect showed that in the changes of renal function, the mediating effects of PV on TC and TG were 44.0% and 47.1%, respectively. Conclusion　PV shows a positive correlation with SCr, TC and TG. TC and TG have a direct impacts on renal impairment, and PV plays a certain mediating role in TC, TG and renal function injury.

Key words: blood viscosity, dyslipidemias, kidney diseases, Logistic models, abnormal plasma viscosity, correspondence analysis, mediating effect