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. 2015 Nov 25;18(5):1363–1370. doi: 10.1093/ntr/ntv263

Table 2.

Multivariable, Multilevel Logistic Regression of the Odds of Compliance Among Points-of-Sale (POS) and Educational Institutions at Wave 2 (2013), Adjusting for City-Level Random Intercept

Odds of POS compliance ( N = 716 a ) Odds of educational institution compliance ( N = 276)
OR 95% CI P b OR 95% CI b P b
City size c
 Rural REF REF
 Small cities 2.48 1.00, 6.14 .049 0.45 0.15, 1.35 .156
 Mid-sized cities 0.75 0.30, 1.88 .538 0.78 0.27, 2.25 .641
 Large cities 1.59 0.64, 3.92 .317 0.68 0.23, 2.03 .494
Region
 North REF REF
 West 1.20 0.41, 3.48 .741 0.55 0.16, 1.89 .342
 South 0.97 0.37, 2.58 .957 1.13 0.39, 3.27 .827
 East 0.76 0.26, 2.19 .609 0.40 0.12, 1.37 .145
POS type
 Convenience, kirana, or general store REF
 Tobacco product store 1.10 0.44, 2.77 .833
 Other type of permanent store 1.30 0.85, 2.00 .226
 Mobile store 1.01 0.38, 2.69 .986
Institution level
 Primary REF
 Secondary 2.20 1.23, 3.91 .007
 College 1.50 0.67, 3.35 .320
Institution type
 Private REF
 Public 1.10 0.64, 1.88 .737

OR = odds ratio; CI = confidence interval.

a Two POS were missing the type of store and dropped from the analysis.

b Bold typeface indicates P < .05.

c Small cities (fewer than half a million inhabitants), mid-sized cities (half a million to 1.9 million inhabitants), large cities (at least 2 million inhabitants).