Abstract

Objective: To study the association of health-related physical fitness (HPF) with kidney function and blood lipid to provide a basis to prevent chronic diseases and making exercise prescriptions. Methods: This study was conducted in December 2019 with 299 faculty members of a university in Shaanxi, testing HPF indicators (muscle mass, body fat percentage, grip, sit-and-reach, vital capacity) , kidney function indicators (creatinine, uric acid, urea) , and blood lipid indicators[triglyceride (TG) , total cholesterol (TC) , high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol (LDL-C) ]. Spearman correlation analysis and binary logistic regression were used to analyze the association between HPF with kidney function and blood lipid indicators. Results: In men, muscle mass and grip strength were positively correlated with uric acid, body fat percentage was positively correlated with TG, sit-and-reach and vital capacity were negatively correlated with TG (r(s)=0.266, 0.337, 0.300, -0.339, -0.239, P<0.05) . In women, body fat percentage was positively correlated with uric acid, TG, TC and LDL-C, negatively correlated with creatinine and HDL-C, grip strength was positively correlated with creatinine, sit-and-reach was positively correlated with HDL-C and negatively correlated with TG, vital capacity was negatively correlated with urea (r(s)=0.240, 0.349, 0.214, 0.249, -0.254, -0.209, 0.186, 0.207, -0.255, -0.154, P<0.05) . Logistic regression showed that high body fat percentage was risk factor for abnormal uric acid and dyslipidemia in female faculty members (OR=1.114, 95%CI:1.023-1.213; OR=1.116, 95%CI: 1.034-1.208; P<0.05) . And high body fat percentage was risk factor for dyslipidemia in male faculty members (OR=1.129, 95%CI: 1.017-1.252, P<0.05) . Conclusion: High body fat percentage is associated with dyslipidemia and uric acid abnormalities in university faculty. HPF fitness assessment may be important for the prevention of chronic diseases related to kidney function or lipids.

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