Table 4. Effect of demographic variables, cardiovascular risk factors and tea intake on calcium scores .

Variables		Calcium score		Univariate logistic regression*		Multivariate logistic regression**
		Normal	Abnormal	OR(95 % CI)	P	OR(95 % CI)	P
Tea consumption	Yes	102(91.9)	77(86.5)	4.65(1.66-13.06	0.004	4.36(1.84-10.36)	0.001
	no	9(8.1)	12(13.5)
Amount of tea consumption	No	9(8.1)	12(13.5)	1.11(0.63-1.95)	0.7	-	-
	1-3 glasses	45(40.5)	39(43.8)
	≥ 3 glasses	57(51.4)	38(42.7)
Age	<50	39(35.1)	10(11.2)	3.73(1.62-8.61)	0.002	3.57(1.62-7.87)	0.002
	≥ 50	72(64.9)	79(88.8)
Sex	Female	52(46.8)	40(44.9)	1.25(0.58-2.65	0.57	-	-
	Male	59(53.2)	49(55.1)
Occupation	Worker	9(8.1)	4(4.5)	0.98(0.71-1.36	0.91	-	-
	Employer	19(17.1)	12(13.5)
	Free job	23(20.7)	26(29.2)
	Household	47(42.3)	34(38.2)
	Retired	13(11.7)	13(14.6)
Family history	No	61(55)	51(57.3)	1.04(0.55-1.98)	0.90	-	-
	yes	50(45)	38(42.7)
Hypertension	No	69(62.2)	43(48.3)	1.84(0.93-3.62)	0.079	1.79(0.97-3.33)	0.064
	Yes	42(37.8)	46(51.7)
Smoking	No	101(91)	72(80.9)	2.04(0.79-5.3)	0.14	2.26(0.9-5.67)	0.082
	Yes	10(9)	17(19.1)
Hyperlipidemia	No	74(66.7)	48(53.9)	1.26(0.65-2.43)	0.5	-	-
	Yes	37(33.3)	41(46.1)
Diabetes	No	93(82.8)	72(80.9)	0.86(0.37-2)	0.72	-	-
	Yes	18(16.2)	17(19.1)

*Using Logistic regression by Inter method. ** Using Logistic regression by backward conditional method