Table 2.

Chi square analysis of response variables by selected socio-demographic factors

Variables	High blood pressure χ2 (%)	High blood cholesterol χ2 (%)	Diabetes χ2 (%)	Added salt χ2 (%)	Smoking χ2 (%)
Gender	χ2 = 3.16	χ2 = 3.88*	χ2 = 1.74	χ2 = .59	χ2 = 41.36*
Male	88.8	73.8	73.8	81.3	81.3
Female	73.9	52.2	87.0	73.9	0
Age	χ2 = 11.17*	χ2 = 12.38*	χ2 = 4.41*	χ2 = .63	χ2 = 9.88*
Below 60	89.2	74.2	79.6	80.6	69.9
Above 60	50.0	20	50	70	20
Education	χ2 = 11.91*	χ2 = 28.08*	χ2 = 10.87*	χ2 = 17.08*	χ2 = 47.27*
Below third level education	72.3	42.6	61.7	61.7	29.8
Above third level education	96.4	91.1	89.3	94.6	94.6
Occupation	χ2 = 8.86*	χ2 = 10.86	χ2 = .60	χ2 = 8.72*	χ2 = 58.23*
Employed	91.1	77.2	78.5	86.1	84.8
Unemployed	66.7	41.7	70.8	58.3	.0
Residence	χ2 = 8.80*	χ2 = 27.07*	χ2 = 22.94*	χ2 = 1.28	χ2 = 9.94*
Rural and semi urban	69.0	31.1	44.8	72.4	41.4
Urban	91.19	83.8	89.2	82.4	47.3

* p < 0.05