Table 4

Associations between neighbourhood tobacco retail access measures and cognitive tobacco use risk factors, controlling for sociodemographic measures (n=1759: Mumbai=843, Kolkata=916)

Tobacco retail access	OR (95% CI)
	Perceived ease of access		Perceived norms about peer use		Intention to use tobacco
	Mumbai	Kolkata	Mumbai	Kolkata	Mumbai	Kolkata
Retailer visit frequency index	1.56** (1.20 to 2.02)	0.458** (0.381 to 0.552)	1.51** (1.18 to 1.93)	1.97** (1.58 to 2.45)	1.96** (1.52 to 2.54)	0.870 (0.684 to 1.11)
Mapped tobacco retailer density
Lowest tertile	Referent	Referent	Referent	Referent	Referent	Referent
Middle tertile	0.624 (0.339 to 1.15)	2.01* (1.03 to 3.91)	0.820 (0.391 to 1.72)	1.29 (0.571 to 2.90)	0.858 (0.396 to 1.86)	1.21 (0.742 to 1.98)
Highest tertile	1.12 (0.687 to 1.83)	0.780 (0.375 to 1.62)	0.801 (0.420 to 1.53)	0.824 (0.334 to 2.03)	0.862 (0.443 to 1.68)	0.769 (0.431 to 1.37)
Perceived tobacco retailer density near home
None	Referent	Referent	Referent	Referent	Referent	Referent
A few	1.22 (0.617 to 2.41)	0.345**(0.214 to 0.556)	1.35 (0.804 to 2.26)	4.05** (2.24 to 7.29)	0.848 (0.461 to 1.56)	0.948 (0.541 to 1.66)
A lot	1.91 (0.941 to 3.88)	0.0963** (0.0568 to 0.163)	2.06* (1.18 to 3.60)	3.87** (2.04 to 7.34)	1.18 (0.619 to 2.24)	0.491* (0.246 to 0.983)
Perceived tobacco retailer density near school
None	Referent	Referent	Referent	Referent	Referent	Referent
A few	0.961 (0.647 to 1.43)	0.203** (0.124 to 0.330)	1.46* (1.06 to 2.02)	3.31** (1.64 to 6.66)	1.21 (0.804 to 1.82)	1.26 (0.625 to 2.56)
A lot	1.47 (0.883 to 2.44)	0.635 (0.353 to 1.14)	1.86** (1.17 to 2.95)	10.1** (4.68 to 21.6)	1.71* (1.01 to 2.89)	1.42 (0.624 to 3.22)

*p<0.05; **p<0.01. We ran 24 regression models, one for each of the four measures of tobacco retail access and each of three psychological risk factors by each of the two cities. The models were adjusted for age, gender and religion, and accounted for sampling design and weights.