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Table 2 Built environment characteristics used one at a time to predict walking for exercise

From: Using built environment characteristics to predict walking for exercise

Built Environment Characteristic Median
(Interquartile range)
Walking or not
C-statistic (95% CI)
Walking time
Proportion of variation explained
Density (thousands of residential units per km2) 177 (105, 256) 0.52 (0.49, 0.55) 0.0 %
Connectivity (mean block size in km2) 0.13 (0.04, 0.44) 0.49 (0.46, 0.51) 0.6 %
Sidewalksa (km of sidewalk-lined streets) 12 (1, 33) 0.51 (0.47, 0.54) 0.1 %
Destinations (count within 1 km buffer)    
   Grocery stores 1 (0, 5) 0.50 (0.46, 0.52) 0.0 %
   Restaurants 3 (0, 11) 0.50 (0.48, 0.53) 0.1 %
   Retail stores 8 (0, 26) 0.51 (0.48, 0.54) 0.0 %
   Grocery-restaurant-retail complexes 0 (0, 1) 0.52 (0.50, 0.54) 0.0 %
   Offices 6 (1, 23) 0.52 (0.49, 0.54) 0.2 %
   Office complexes 0 (0, 1) 0.52 (0.49, 0.54) 0.0 %
   Banks 1 (0, 7) 0.49 (0.46, 0.52) 0.1 %
   Churches 4 (1, 12) 0.48 (0.44, 0.51) 0.1 %
   Schools 4 (1, 9) 0.50 (0.47, 0.53) 0.2 %
   School-church combinations 0 (0, 1) 0.50 (0.48, 0.53) 0.2 %
   Fitness centers 1 (0, 5) 0.49 (0.46, 0.52) 0.1 %
Parks (percent of 1-km buffer covered) 2 (0, 5) 0.51 (0.49, 0.54) 0.5 %
  1. Notes: Built environment characteristics were measured within a one-kilometer airline buffer; a Sidewalk data were available only for King County, and were investigated as predictors of walking in this subset