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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