Table 1 Odds ratios across the covariates (fixed effects) together with their 95 % credible interval and model parameters of four hierarchical logistic regression models. See text for the detailed description of differences between models
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 | 44,812.27 | 44,511.27 | 44,696.30 | 44,358.98 | |
| pD | 308.59 | 260.16 | 214.66 | 150.35 |