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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).