Table 4 Multilevel logistic regression odds ratios for each destination, across three buffer distances1
From: Does the presence and mix of destinations influence walking and physical activity?
| Â | Â | Â | Odds ratios (CI) | ||
|---|---|---|---|---|---|
Exposure variable | Buffer distance | Response category | Walking four times a week or more2 | Physical activity sufficiency3 | Physical activity sufficiency adjusted for walking |
Education | 400 | 0 education facilities | 1.00 | 1.00 | 1.00 |
1+ education facilities | 1.11 (0.90, 1.38), p = 0.326 | 1.16 (0.92, 1.46), p = 0.217 | 1.10 (0.85, 1.43), p = 0.470 | ||
Education | 800 | Tertile 1 | 1.00 | 1.00 | 1.00 |
Tertile 2 | 1.40 (1.11, 1.77), p = 0.005 | 1.45 (1.14, 1.83), p = 0.002 | 1.28 (0.97, 1.70), p = 0.081 | ||
Tertile 3 | 1.27 (0.96, 1.69), p = 0.099 | 1.50 (1.13, 1.99), p = 0.005 | 1.42 (1.03, 1.96), p = 0.035 | ||
Education | 1200 | Tertile 1 | 1.00 | 1.00 | 1.00 |
Tertile 2 | 1.77 (1.39, 2.24), p = 0.000 | 1.60 (1.24, 2.06), p = 0.000 | 1.28 (0.95, 1.73), p = 0.111 | ||
Tertile 3 | 1.54 (1.19, 1.98), p = 0.001 | 1.44 (1.10, 1.89), p = 0.009 | 1.25 (0.90, 1.72), 0.179 | ||
Cafes/takeaway stores | 400 | 0 cafes/takeaway | 1.00 | 1.00 | 1.00 |
1+ cafes/takeaway | 1.47 (1.18, 1.83), p = 0.001 | 1.36 (1.08, 1.73), p = 0.009 | 1.23 (0.94, 1.62), p = 0.130 | ||
Cafes/takeaway stores | 800 | Tertile 1 | 1.00 | 1.00 | 1.00 |
Tertile 2 | 1.34 (1.04, 1.73), p = 0.022 | 1.35 (1.04, 1.75), p = 0.023 | 1.18 (0.88, 1.60), p = 0.274 | ||
Tertile 3 | 1.80 (1.38, 2.34), p = 0.000 | 1.60 (1.22, 2.09), p = 0.001 | 1.28 (0.94, 1.75), p = 0.120 | ||
Cafes/takeaway stores | 1200 | Tertile 1 | 1.00 | 1.00 | 1.00 |
Tertile 2 | 1.18 (0.92, 1.53), p = 0.198 | 1.07 (0.82, 1.39), p = 0.622 | 1.00 (0.74, 1.37), p = 0.985 | ||
Tertile 3 | 1.66 (1.27, 2.17), p = 0.000 | 1.61 (1.23, 2.12), p = 0.001 | 1.37 (0.99, 1.88), p = 0.057 | ||
Transport stops/stations | 400 | Tertile 1 | 1.00 | 1.00 | 1.00 |
Tertile 2 | 1.59 (1.22, 2.08), p = 0.001 | 1.56 (1.18, 2.06), p = 0.002 | 1.30 (0.94, 1.79), p = 0.111 | ||
Tertile 3 | 1.58 (1.22, 2.06), p = 0.001 | 1.54 (1.17, 2.01), p = 0.002 | 1.32 (0.97, 1.81), p = 0.077 | ||
Transport stops/stations | 800 | Tertile 1 | 1.00 | 1.00 | 1.00 |
Tertile 2 | 1.06 (0.83, 1.37), p = 0.628 | 1.09 (0.84, 1.40), p = 0.531 | 1.05 (0.78, 1.40), p = 0.748 | ||
Tertile 3 | 1.35 (1.02, 1.79), p = 0.035 | 1.13 (0.84, 1.52), p = 0.409 | 1.02 (0.73, 1.42), p = 0.923 | ||
Transport stops/stations | 1200 | Tertile 1 | 1.00 | 1.00 | 1.00 |
Tertile 2 | 1.47 (1.14, 1.89), p = 0.003 | 1.49 (1.15, 1.93), p = 0.003 | 1.29 (0.95, 1.75), p = 0.104 | ||
Tertile 3 | 1.46 (1.11, 1.93), p = 0.007 | 1.33 (0.99, 1.79), p = 0.058 | 1.19 (0.85, 1.68), p = 0.309 | ||
Supermarkets | 400 | 0 supermarkets | 1.00 | 1.00 | 1.00 |
1 + supermarkets | 1.23 (0.73, 2.08), p = 0.441 | 0.82 (0.47, 1.44), p = 0.495 | 0.72 (0.38, 1.37), p = 0.317 | ||
Supermarkets | 800 | 0 supermarkets | 1.00 | 1.00 | 1.00 |
1 + supermarkets | 1.69 (1.30, 2.20), p = 0.000 | 1.43 (1.08, 1.88), p = 0.012 | 1.15 (0.83, 1.58), p = 0.406 | ||
Supermarkets | 1200 | 0 supermarkets | 1.00 | 1.00 | 1.00 |
1 + supermarkets | 1.40 (1.12, 1.77), p = 0.004 | 1.53 (1.22, 1.91), p = 0.000 | 1.41 (1.09, 1.83), p = 0.009 | ||
Sport facilities | 400 | 0 sport facilities | 1.00 | 1.00 | 1.00 |
1 + sport facilities | 1.33 (1.00, 1.76), p = 0.049 | 0.93 (0.68, 1.27), p = 0.647 | 0.76 (0.53, 1.09), p = 0.137 | ||
Sport facilities | 800 | 0 sport facilities | 1.00 | 1.00 | 1.00 |
|  | 1 + sport facilities | 1.21 (0.97, 1.52), p = 0.089 | 1.17 (0.93, 1.47), p = 0.178 | 1.05 (0.81, 1.36), p = 0.707 | |
Sport facilities | 1200 | Tertile 1 | 1.00 | 1.00 | 1.00 |
Tertile 2 | 1.53 (1.19, 1.98), p = 0.001 | 1.58 (1.22, 2.03), p = 0.000 | 1.39 (1.03, 1.87), p = 0.030 | ||
Tertile 3 | 1.66 (1.22, 2.25), p = 0.001 | 1.53 (1.14, 2.06), p = 0.005 | 1.22 (0.86, 1.73), p = 0.270 | ||
Community resources | 400 | 0 comm. resources | 1.00 | 1.00 | 1.00 |
1 + comm. resources | 1.12 (0.89, 1.40), p = 0.334 | 1.06 (0.82, 1.36), p = 0.661 | 1.04 (0.78, 1.37), p = 0.800 | ||
Community resources | 800 | Tertile 1 | 1.00 | 1.00 | 1.00 |
Tertile 2 | 1.85 (1.44, 2.37), p = 0.000 | 1.82 (1.40, 2.37), p = 0.000 | 1.55 (1.13, 2.12), p = 0.006 | ||
Tertile 3 | 1.92 (1.49, 2.48), p = 0.000 | 1.58 (1.2, 2.07), p = 0.001 | 1.23 (0.88, 1.70), p = 0.222 | ||
Community resources | 1200 | Tertile 1 | 1.00 | 1.00 | 1.00 |
Tertile 2 | 1.41 (1.11, 1.79), p = 0.006 | 1.45 (1.12, 1.89), p = 0.005 | 1.32 (0.96, 1.81), p = 0.084 | ||
Tertile 3 | 2.20 (1.71, 2.83), p = 0.000 | 1.97 (1.49, 2.58), p = 0.000 | 1.47 (1.06, 2.04), p = 0.023 | ||
Small food stores | 400 | 0 small food stores | 1.00 | 1.00 | 1.00 |
1 + small food stores | 1.12 (0.9, 1.4), p = 0.296 | 1.07 (0.85, 1.35), p = 0.573 | 1.04 (0.8, 1.37), p = 0.747 | ||
Small food stores | 800 | Tertile 1 | 1.00 | 1.00 | 1.00 |
Tertile 2 | 1.42 (1.08, 1.85), p = 0.011 | 1.39 (1.05, 1.85), p = 0.020 | 1.28 (0.92, 1.78), p = 0.146 | ||
Tertile 3 | 1.85 (1.41, 2.44), p = 0.000 | 1.70 (1.29, 2.26), p = 0.000 | 1.34 (0.96, 1.87), p = 0.081 | ||
Small food stores | 1200 | Tertile 1 | 1.00 | 1.00 | 1.00 |
Tertile 2 | 1.40 (1.09, 1.8), p = 0.009 | 1.18 (0.91, 1.54), p = 0.206 | 0.98 (0.72, 1.34), p = 0.922 | ||
Tertile 3 | 1.96 (1.49, 2.58), p = 0.000 | 1.96 (1.48, 2.58), p = 0.000 | 1.51 (1.09, 2.11), p = 0.015 | ||