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Table 3 Fully adjusted percent difference of biomarkers by geocoding methodology

From: Highway proximity associated with cardiovascular disease risk: the influence of individual-level confounders and exposure misclassification

  Distance Ortho Corrected Parcel StreetMap TIGERLine
% Diff (95%CI) % Diff (95%CI) % Diff (95%CI) % Diff (95%CI)
HsCRP 0-50 m 44% (-18%,151%) 49% (-12%,149%) 79% (-11%,258%) 51% (-25%,197%)
51-150 m -2% (-37%,53%) 2% (-34%,57%) 13% (-27%,73%) 22% (-21%,88%)
151-250 m 40% (-11%,122%) 53% (-4%,143%) 22% (-25%,99%) 16% (-27%,85%)
251-450 m 46% (-7%,128%) 46% (-7%,130%) 39% (-12%,119%) 57% (-33%,119%)
> = 1000 m Ref Ref Ref Ref
IL-6 0-50 m 59% (2%,147%) 41% (-9%,119%) 27% (-37%,158%) 34% (-21%,128%)
51-150 m 41% (-0.2%,100%) 45% (3%,105%) 18% (-21%,77%) 53% (10%,112%)
151-250 m 4% (-27%,48%) 12% (-21%,60%) -13% (-45%,38%) 3% (-27%,47%)
251-450 m 60% (12%,128%) 55% (8%,123%) 8% (-31%,68%) 54% (5%,126%)
> = 1000 m Ref Ref Ref Ref
  1. The sample has been restricted to include those participants geocoded to all three methodologies and containing complete data for variables for each multi-variable regression model (Orthophoto and Parcel N = 223; TIGER N = 210).