Table.
Correlates of marijuana co-marketing and largest cigarillo pack for $1 or less: California, 2015–16
| Sample description | Marijuana co-marketing | Largest cigarillo pack for $1 or less | ||||
|---|---|---|---|---|---|---|
|
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| Fixed Effect | n | % | OR | 95% CI | Coef. | 95% CI |
| Intercept | 1.47 | (1.1, 2.0) | 2.2 | (2.1, 2.3) | ||
|
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| Store type (Level 1, n=530) | ||||||
|
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| Convenience | 243 | 45.8% | Ref. | Ref. | ||
| Discount store | 11 | 2.1% | 0.33 | (0.1, 1.1) | −0.5 | (−1.1, 0.1) |
| Liquor store | 91 | 17.2% | 1.89 | (1.1, 3.2) | 0.1 | (−0.1, 0.3) |
| Pharmacy | 34 | 6.4% | 1.03 | (0.4, 2.5) | −1.6 | (−2.1, −1.1) |
| Small market | 50 | 9.4% | 0.54 | (0.3, 1.0) | 0.1 | (−0.4, 0.6) |
| Supermarket | 33 | 6.2% | 0.22 | (0.1, 0.5) | −1.6 | (−1.9, −1.3) |
| Tobacco shop | 55 | 10.4% | 9.28 | (3.7, 23.1) | 0.6 | (0.3, 0.9) |
| Other | 13 | 2.5% | 2.01 | (0.5, 8.2) | −0.5 | (−1.3, 0.3) |
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| School characteristics (Level 2, n=132) | ||||||
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| School neighborhood | M | SD | ||||
| % School age (5–17 years) | 18.7 | 4.3 | 1.44 | (1.1, 1.9) | 0.1 | (0.0, 0.2) |
| % Young adult (18–24 years) | 10.6 | 3.2 | 1.06 | (0.8, 1.4) | −0.1 | (−0.2, 0.0) |
| Median household income | 65,807 | 25,240 | 0.68 | (0.5, 0.9) | −0.4 | (−0.6, −0.2) |
| Population density | 6386 | 4484 | 1.01 | (0.8, 1.3) | −0.1 | (−0.2, 0.0) |
| School enrollment | M | SD | ||||
| % Hispanic | 54.0 | 25.4 | 0.80 | (0.5, 1.3) | −0.3 | (−0.5, −0.1) |
| % African American | 7.3 | 9.7 | 0.87 | (0.7, 1.1) | 0.0 | (−0.1, 0.1) |
| % Asian/Pacific Islander | 13.5 | 16.1 | 1.11 | (0.8, 1.6) | 0.1 | (−0.1, 0.3) |
| % Free/reduced price meal | 57.7 | 24 | 1.20 | (0.8, 1.8) | 0.2 | (0.0, 0.4) |
| Number of students | 1600 | 734 | 0.94 | (0.8, 1.2) | −0.1 | (−0.2, 0.0) |
OR=Adjusted odds ratio; CI=Confidence Interval; Coef=coefficient; Ref=reference; M=mean; SD=Standard deviation. For marijuana co-marketing, cell entries are adjusted odds ratios (OR) and 95% CI from a population average generalized linear mixed model. For pack size, cell entries are regression coefficients and 95% CIs from a general linear mixed model. In school neighborhoods that contained more than one census tract, demographics were weighted in proportion to tract area. School/neighborhood variables were standardized. For example, for each standard deviation increase in % of school-age youth in the neighborhood, the odds of a tobacco retailer having marijuana co-marketing increased by 44%.