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Table 6 Percentage change in CAC* for pollutant IQR increases by analysis model and exposure estimation approach

From: Particulate matter components and subclinical atherosclerosis: common approaches to estimating exposure in a Multi-Ethnic Study of Atherosclerosis cross-sectional study

 

PM2.5*

EC*

OC*

Silicon

Sulfur

 

% Change (95% CI)

% Change (95% CI)

% Change (95% CI)

% Change (95% CI)

% Change (95% CI)

Model 1**

     

   Nearest Monitor

−1.52 (−3.31,0.26)

−1.65 (−3.54,0.24)

−0.59 (−3.14,1.96)

−3.96 (−8.62,0.70)

0.61 (−1.67,2.89)

   IDW

−1.00 (−2.21,0.21)

−1.26 (−2.76,0.24)

−0.61 (−2.29,1.08)

−3.14 (−6.09,-0.19)

0.70 (−1.68,3.08)

   City-Wide Average

−0.85 (−2.02,0.32)

−1.11 (−2.52,0.30)

0.19 (−1.32,1.70)

−3.41 (−6.36,-0.45)

0.66 (−1.76,3.07)

Model 2**

     

   Nearest Monitor

−1.56 (−3.34,0.21)

−1.61 (−3.49,0.27)

−0.98 (−3.52,1.57)

−3.08 (−7.73,1.58)

0.05 (−2.22,2.33)

   IDW

−1.03 (−2.23,0.17)

−1.22 (−2.71,0.28)

−0.86 (−2.54,0.83)

−2.52 (−5.47,0.43)

0.12 (−2.25,2.50)

   City-Wide Average

−0.63 (−1.84,0.58)

−0.83 (−2.28,0.63)

0.13 (−1.44,1.70)

−3.66 (−6.71,-0.61)

1.13 (−1.34,3.60)

Model 3**

     

   Nearest Monitor

−1.37 (−3.22,0.48)

−1.43 (−3.37,0.52)

−0.86 (−3.51,1.78)

−3.35 (−8.18,1.47)

0.58 (−1.76,2.92)

   IDW

−0.89 (−2.14,0.37)

−1.06 (−2.61,0.49)

−0.90 (−2.67,0.86)

−3.07 (−6.13,0.00)

0.67 (−1.77,3.12

   City-Wide Average

−0.72 (−1.94,0.49)

−0.90 (−2.36,0.57)

−0.05 (−1.63,1.53)

−3.21 (−6.27,-0.14)

0.64 (−1.85,3.12)

Model 4**

     

   Nearest Monitor

−3.10 (−8.08,1.89)

−3.40 (−8.76,1.97)

−1.05 (−8.03,5.93)

4.13 (−5.43,13.68)

−2.32 (−16.91,12.27)

   IDW

−3.78 (−8.75,1.19)

−5.42 (−12.52,1.69)

***

3.24 (−8.59,15.07)

8.51 (−24.75,41.77)

  1. *PM2.5, particulate matter less than or equal to 2.5 μm in aerodynamic diameter; EC, elemental carbon; OC, organic carbon; CAC, coronary artery calcification.
  2. **Model 1: covariates include age, gender, race-ethnicity.
  3. Model 2: Model 1 + total cholesterol, HDL cholesterol, smoking status, hypertension, lipid-lowering medication.
  4. Model 3: Model 2 + education, income, waist circumference, body surface area, BMI, BMI2, diabetes, LDL, triglycerides.
  5. Model 4: Model 2 + metropolitan area.
  6. ***unstable estimate.