Table 2.
Multinomial logistic regression analysis for access to restaurants and grocery stores with home-cooking (n = 5076)
| 0–3/week RRR (95% CI) |
4 – 5/week RRR (95% CI) |
p value | 6 – 7/week RRR (95% CI) |
p value | ||
|---|---|---|---|---|---|---|
| Model 1 | ||||||
| Spatial access to restaurants | T1 (lowest) | 1 | 1 | 1 | ||
| T2 | 0.73 (0.49 – 1.10) | 0.135 | 0.61 (0.35 – 1.05) | 0.076 | ||
| T3 (highest) | 0.61 (0.39 – 0.96) | 0.031 | 0.42 (0.23 – 0.76) | 0.004 | ||
| Model 2 | ||||||
| Spatial access to grocery stores | T1 (lowest) | 1 | 1 | 1 | ||
| T2 | 0.83 (0.58 – 1.20) | 0.318 | 0.62 (0.35 – 1.13) | 0.117 | ||
| T3 (highest) | 0.70 (0.47 – 1.08) | 0.106 | 0.55 (0.29 – 1.01) | 0.054 | ||
| Model 3 | ||||||
| Spatial access to restaurants | T1 (lowest) | 1 | 1 | 1 | ||
| T2 | 0.75 (0.50 – 1.13) | 0.171 | 0.63 (0.37 – 1.09) | 0.101 | ||
| T3 (highest) | 0.65 (0.38 – 1.12) | 0.123 | 0.42 (0.21 – 0.87) | 0.019 | ||
| Spatial access to grocery stores | T1 (lowest) | 1 | 1 | 1 | ||
| T2 | 0.90 (0.65 – 1.25) | 0.533 | 0.72 (0.43 – 1.22) | 0.229 | ||
| T3 (highest) | 0.90 (0.56 – 1.44) | 0.652 | 0.91 (0.45 – 1.83) | 0.783 | ||
RRR Relative Risk Ratio, 95%CI 95% confidence intervals; Model 1: model with spatial access to restaurants as independent variable; Model 2: model with spatial access to grocery stores as independent variable; Model 3: model with spatial access to restaurants and spatial access to grocery stores as independent variables; T1, T2 and T3 are tertiles of spatial access, where individuals in T1 have the lowest access and individuals in T3 the highest access; All models were adjusted for age, sex, educational attainment, BMI, household composition, employment status, and urban region; Results in bold are statically significant (p < 0.05)