Skip to main content

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