Table 5.

Binary logistic regression presenting factors influencing the participant’s lifestyle, attitude, and behavior change after COVID-19 vaccination (N = 1227)

		Lifestyle change			Attitude change			Behavior change
Variable	Categories	Coef.	AOR	P-value	Coef.	AOR	P-value	Coef.	AOR	P-value
Age	Old aged (>51) (Ref)
	Middle aged (37–51)	0.32	1.34	0.17	0.82	1.12	0.26	0.09	1.12	0.23
	Young (18–36)	−0.26	0.72	0.04**	0.43	1.76	0.00***	−0.16	0.89	0.00***
Sex	Male (Ref.)
	Female	−0.18	0.92	0.25	0.04	1.29	0.66	0.10	1.41	0.57
Residence area	Rural (Ref.)
	Urban	1.27	3.58	0.00***	1.04	2.85	0.00***	0.21	1.23	0.18
	Semi-urban	0.35	1.42	0.25	0.65	1.21	0.15	0.17	1.19	0.42
Economic class	Low income (Ref.)
	Lower-middle income	0.92	2.44	0.19	1.01	2.78	0.24	1.36	2.17	0.46
	Upper-middle income	1.67	3.78	0.07*	1.91	4.21	0.03**	0.92	1.79	0.21
	High income	1.92	4.19	0.00***	1.28	3.08	0.0.8*	0.02	1.28	0.06*
Education level	Primary (Ref.)
	Secondary	0.78	1.43	0.23	1.30	1.94	0.17	0.10	1.02	0.49
	Higher secondary	0.89	1.67	0.11	1.89	2.38	0.08*	0.78	2.31	0.05**
	Graduate	1.20	3.89	0.01**	0.06	1.19	0.09*	1.88	4.03	0.00***
	Postgraduate	0.56	1.26	0.00***	0.89	2.01	0.04**	2.23	5.47	0.00***
Suffering from side effects of vaccination	Yes (Ref.)
	No	−0.89	0.81	0.62	1.23	1.08	0.74	−1.36	0.75	0.36

Note: ***, ** and * indicates significance at 1%, 5% and 10% level, respectively. In binary logistic regression, explained variables are lifestyle change (1 if have positive change, 0 for otherwise), attitude change (1 if have positive change, 0 for otherwise), and behavior change (1 if have positive change, 0 for otherwise). AOR = Adjusted Odds Ratio, Ref. = Reference category, Coef. = Coefficient.