Association between ventricular repolarization variables and cardiac diastolic function: A cross-sectional study of a healthy Chinese population

Table 4 Association of E/A ratio within tertiles of QTc and Tpe_c using binary logistic regression model

	Tertile 1				Tertile 2				Tertile 3
	Model 1		Model 2		Model 1		Model 2
	OR (95%CI)	P-value	OR (95%CI)	P-value	OR (95%CI)	P-value	OR (95%CI)	P-value	OR
Tertiles of QTc
Men (n = 186)	0.604 (0.272-1.342)	0.216	0.763 (0.317-1.836)	0.545	0.210 (0.087-0.506)	0.001	0.257 (0.102-0.649)	0.004	1 (ref)
Women (n = 228)	0.527 (0.176-1.579)	0.253	0.982 (0.284-3.396)	0.977	1.230 (0.539-2.806)	0.624	1.480 (0.574-3.815)	0.417	1 (ref)
Tertiles of Tpec
Men (n = 186)	0.890 (0.397-1.996)	0.777	0.980 (0.404-2.372)	0.963	0.465 (0.204-1.061)	0.069	0.423 (0.175-1.022)	0.056	1 (ref)
Women (n = 228)	0.483 (0.188-1.242)	0.131	0.477 (0.162-1.404)	0.179	0.487 (0.204-1.160)	0.104	0.532 (0.200-1.416)	0.206	1 (ref)

Model 1: Adjusted for age; Model 2: Fully adjusted for age, gender, body mass index, systolic blood pressure, diastolic blood pressure, triglyceride, total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, fasting blood glucose and serum creatinine. OR values and P-value were the outcome of binary logistic regression using abnormal diastolic function as the dependent variable.