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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
  1. Abbreviations: ref. reference category, DIC deviance information criterion, pD effective number of parameters