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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