Table 4.

SEAR—Multinomial Regression Analysis

Multinomial logistic regression – SEAR Number of observations = 783 588
Dependent variable: tobacco use	RRR	p-value	95 % CI
No tobacco use	Base Outcome
Exclusive smoking
Pregnant (ref = no)
Yes	0.88	0.157	0.73–1.05
Residence (ref = urban)
Rural	0.62	<0.05	0.44–0.87
Education (ref = no education)
Primary	1.22	0.19	0.9–1.65
Secondary	0.67	0.001	0.53–0.85
Higher	0.43	<0.001	0.32–0.57
Wealth index (ref = poorest)
Poorer	0.6	<0.001	0.55–0.65
Middle	0.4	<0.001	0.36–0.45
Richer	0.3	<0.001	0.25–0.37
Richest	0.18	<0.001	0.13–0.25
Age	1.06	<0.001	1.04–1.07
Constant	0.009	<0.001	0.005–0.014
Exclusive smokeless
Pregnant (ref = no)
Yes	1.07	0.01	1.02–1.12
Residence (ref = urban)
Rural	0.76	0.09	0.55–1.05
Education (ref = no education)
Primary	1.07	0.82	0.6–1.89
Secondary	0.98	0.92	0.69–1.39
Higher	0.6	0.02	0.39–0.93
Wealth index (ref = poorest)
Poorer	1.08	0.2	0.96–1.2
Middle	0.81	0.04	0.67–0.99
Richer	0.55	<0.001	0.41–0.75
Richest	0.28	<0.001	0.18–0.42
Age	1.05	<0.001	1.05–1.06
Constant	0.03	<0.001	0.02–0.04
Dual tobacco use
Pregnant (ref = no)
Yes	1.1	0.53	0.82–1.48
Residence (ref = urban)
Rural	0.56	<0.001	0.45–0.77
Education (ref = no education)
Primary	1.67	0.19	0.77–3.6
Secondary	1.33	0.4	0.68–2.61
Higher	0.51	0.06	0.25–1.03
Wealth index (ref = poorest)
Poorer	0.87	0.31	0.66–1.14
Middle	0.86	0.27	0.66–1.12
Richer	0.94	0.69	0.7–1.27
Richest	0.56	<0.001	0.44–0.72
Age	1.06	<0.001	1.05–1.07
Constant	0.0005	<0.001	0.0002–0.0011