Table 3.

Binary logistic regression analysis showing association of knowledge, attitude, and practice scores.

Variables	Knowledge score				Attitude score				Practice score
	B	SE	P-value	OR	B	SE	P-value	OR	B	SE	P-value	OR
Age			0.736				0.035				0.782
29–39 years	0.014	0.255	0.956	1.014	−0.508	0.398	0.202	0.602	0.749	0.581	0.197	2.114
40–50 years	0.175	0.291	0.548	1.191	−0.762	0.437	0.081	0.467	0.570	0.642	0.375	1.768
51–60 years	−0.082	0.306	0.790	0.922	−1.308	0.443	0.003	0.270	0.417	0.634	0.511	1.517
>60 years	0.392	0.408	0.336	1.480	−1.085	0.517	0.036	0.338	19.103	5.545	0.997	1.977
Monthly income			0.000				0.903				0.454
30,000–50,000 rupees	0.032	0.242	0.896	1.032	−0.176	0.347	0.612	0.839	−0.123	0.459	0.789	0.885
50,001–100,000 rupees	0.491	0.245	0.045	1.635	0.032	0.347	0.926	1.033	0.623	0.517	0.228	1.864
>100,000 rupees	0.692	0.249	0.005	1.997	0.139	0.347	0.688	1.149	0.608	0.519	0.241	1.836
None	−0.164	0.191	0.391	0.849	0.044	0.288	0.877	1.045	0.180	0.366	0.623	1.197
Education level			0.077				0.108				0.000
High school degree	0.135	0.513	0.792	1.145	0.142	0.679	0.834	1.153	1.810	0.846	0.032	6.113
Bachelor's degree	0.087	0.507	0.864	1.091	0.196	0.665	0.768	1.217	0.672	0.798	0.400	1.958
Master's degree	0.156	0.522	0.765	1.169	0.774	0.691	0.263	2.169	0.586	0.842	0.486	1.798
Professional degree	0.483	0.514	0.347	1.621	0.676	0.681	0.321	1.966	2.117	0.865	0.014	8.307
Ph.D	0.388	0.647	0.549	1.474	0.403	0.820	0.623	1.497	0.950	1.316	0.471	2.585
Job			0.000				0.466				0.873
Private job	−0.519	0.246	0.035	0.595	−0.176	0.320	0.582	0.838	−0.196	0.588	0.739	0.822
Business	−0.174	0.387	0.653	0.840	−0.158	0.468	0.736	0.854	−0.670	0.770	0.384	0.512
Housewife	−0.091	0.324	0.778	0.913	−0.011	0.478	0.981	0.989	−0.648	0.808	0.422	0.523
Student	0.445	0.295	0.131	1.560	0.410	0.410	0.318	1.507	−0.230	0.661	0.728	0.794
Marital status			0.445				0.126				0.879
Unmarried	−0.089	0.222	0.690	0.915	−0.563	0.342	0.100	0.570	0.245	0.483	0.612	1.27
Divorced	0.890	0.792	0.261	2.435	−1.147	0.726	0.114	0.318	18.537	1.023	0.999	1.123