Table 4.
Multiple linear regression model of consumer and community environment predictors of healthy food availability in a sample of retail stores that sell food and tobacco products, n = 303, North Carolina, 2011.
| B value | SE | P value | |
|---|---|---|---|
| Intercept | 25.3 | 0.63 | < .0001 |
| Consumer environment | |||
| Interior tobacco marketing | 0.05 | 0.01 | 0.001 |
| Exterior tobacco marketing | − 0.08 | 0.03 | 0.02 |
| Store type | |||
| Chain supermarkets (reference) | |||
| Non-chain supermarkets | − 15.84 | 1.01 | < .0001 |
| Convenience stores | − 18.66 | 0.69 | < .0001 |
| Gas/convenience store | − 18.76 | 0.58 | < .0001 |
| Pharmacy and drug stores | − 15.40 | 0.68 | < .0001 |
| Community environment | |||
| Tobacco outlet density | − 0.16 | 0.28 | 0.56 |
| Low supermarket access | 0.17 | 0.38 | 0.64 |
| Neighborhood demographics | |||
| Non-Hispanic black, % | − 0.02 | 0.01 | 0.14 |
| Hispanic, % | 0.01 | 0.03 | 0.85 |
| Median household income, $10,000 | − 0.22 | 0.00 | 0.15 |
| Population, thousands | − 0.20 | 0.11 | 0.08 |
| County | |||
| New Hanover (reference) | |||
| Buncombe | 0.81 | 0.48 | 0.09 |
| Durham | 2.05 | 0.59 | 0.001 |
| Adjusted R-squared | 0.8378 |