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Table 5 Conditional autoregressive model summaries for sufficient MVPA to improve health

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 (0.99-1.00)

1.00 (0.99-1.01)

0.99 (0.97-1.01)

1.00 (0.97-1.02)

0.98 (0.96-1.01)

Walkability

Low

1.00

1.00

Low-medium

1.00 (0.98-1.02)

1.00 (0.97-1.02)

Medium-high

1.01 (0.98-1.04)

1.01 (0.98-1.04)

High

1.05 (1.01-1.08)

1.04 (1.01-1.08)

Socioeconomic disadvantage

High

1.00

1.00

High-medium

1.00 (0.97-1.03)

1.00 (0.97-1.02)

Medium

1.00 (0.97-1.03)

1.00 (0.97-1.03)

Medium-low

1.02 (0.99-1.06)

1.02 (0.99-1.05)

Low

1.00 (0.97-1.03)

1.00 (0.97-1.03)

Model diagnostics

pD

67.54

30.68

28.77

32.31

30.16

DIC

1983.08

1906.15

1906.62

1909.87

1909.89

Fit (1=best, 5=poorest)

5

1

2

3

4

Spatial fraction

0.97

0.85

0.75

0.83

0.69

  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