Table 3.
Regressions of BMI on neighborhood shelf-space
| Coefficient (SE) |
||
|---|---|---|
| Variable | Model 1 | Model 2 |
| Shelf-space within 1 km of home | ||
| Fruits and vegetables | 0.000 (0.002) | |
| Energy-dense snacks | 0.001 (0.001)* | |
| Age (years; ref: ≤30) | ||
| 31–50 | 1.569 (0.460)** | 1.591 (0.462)** |
| ≥50 | 2.491 (0.395)** | 2.502 (0.397)** |
| Gender (female) | −0.809 (0.344)* | −0.783 (0.342)* |
| Race (ref: white + other) | ||
| African-American | 2.259 (0.431)** | 2.298 (0.428)** |
| Latino | 1.279 (0.863) | 1.276 (0.867) |
| Education (ref: high school or less) | ||
| Some college | −0.111 (0.449) | −0.059 (0.452) |
| College graduate | −0.255 (0.478) | −0.194 (0.484) |
| Income ($K; ref: $0K–$25K) | ||
| 25–50 | −0.145 (0.466) | −0.093 (0.466) |
| >50 | −0.293 (0.498) | −0.202 (0.494) |
| Household owns car | −0.846 (0.674) | −0.735 (0.669) |
| Intercept | 26.347 (0.809)** | 25.789 (0.836)** |
p<0.05
p<0.01