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Table 6 Conditional autoregressive model summaries for high MVPA

From: The contribution of area-level walkability to geographic variation in physical activity: a spatial analysis of 95,837 participants from the 45 and Up Study living in Sydney, Australia

 

Model 1

Model 2

Model 3

Model 4

Model 5

Individual-level adjustment

No

Yes

Yes

Yes

Yes

Parameter estimates (PR, 95% CrI)

Constant

0.99 (0.98-1.00)

1.00 (0.99-1.01)

0.99 (0.97-1.02)

0.99 (0.96-1.01)

0.99 (0.95-1.02)

Walkability

Low

1.00

1.00

Low-medium

0.99 (0.97-1.02)

0.99 (0.96-1.02)

Medium-high

1.00 (0.96-1.03)

0.99 (0.96-1.03)

High

1.03 (0.98-1.07)

1.02 (0.98-1.07)

Socioeconomic disadvantage

High

1.00

1.00

High-medium

1.00 (0.97-1.03)

0.99 (0.96-1.03)

Medium

1.01 (0.98-1.04)

1.01 (0.97-1.04)

Medium-low

1.04 (1.00-1.07)

1.03 (1.00-1.07)

Low

1.01 (0.97-1.05)

1.01 (0.97-1.05)

Model diagnostics

pD

78.57

38.51

39.12

38.15

38.24

DIC

1963.23

1886.54

1889.39

1890.17

1892.30

Fit (1=best, 5=poorest)

5

1

2

3

4

Spatial fraction

0.98

0.90

0.88

0.86

0.83

  1. PR prevalence ratio, CrI credible interval, pD effective parameters, DIC Deviance Information Criterion
  2. Model 1 null model with expected cases proportional to the overall prevalence
  3. Model 2 null model with expected cases adjusted for individual-level factors
  4. Model 3 Model 2 + Sydney Walkability Index
  5. Model 4 Model 2 + Index of Relative Socioeconomic Disadvantage
  6. Model 5 Model 3 + Index of Relative Socioeconomic Disadvantage