From: Finding big shots: small-area mapping and spatial modelling of obesity among Swiss male conscripts
Variable | Category | Model 1 | Model 2 | Model 3 | Model 4 |
---|---|---|---|---|---|
Age | (per 1 year) | - | 1.17 (1.13–1.21) | - | 1.18 (1.14–1.22) |
Professional status | Pupil | - | 0.75 (0.67–0.84) | - | 0.70 (0.63–0.79) |
 | Low | - | 1.10 (1.03–1.17) | - | 1.10 (1.03–1.17) |
 | Medium | - | 1.00 (ref.) | - | 1.00 (ref.) |
 | High | - | 0.73 (0.68–0.79) | - | 0.74 (0.68–0.80) |
Swiss-SEP | (per 10 units) | - | 0.83 (0.80–0.87) | - | 0.79 (0.75–0.84) |
Urbanicity | Urban | - | 0.97 (0.89–1.06) | - | 1.01 (0.93–1.09) |
 | Peri-urban | - | 1.00 (ref.) | - | 1.00 (ref.) |
 | Rural | - | 0.91 (0.84–0.98) | - | 0.90 (0.83–0.98) |
Variance of random effects | Total | 0.073 | 0.057 | 0.086 | 0.074 |
 | Spatial component | - | - | 0.065 | 0.065 |
DIC | Â | 44,812.27 | 44,511.27 | 44,696.30 | 44,358.98 |
pD | Â | 308.59 | 260.16 | 214.66 | 150.35 |