Vascular Function and Short-Term Exposure to Fine Particulate Air Pollution

C. Arden Pope III Department of Economics, Brigham Young University, Provo, UT, USACorrespondence[email protected]

Jaron C. Hansen Department of Chemistry and Biochemistry, Brigham Young University, Provo, UT, USA

Roman Kuprov Department of Chemistry and Biochemistry, Brigham Young University, Provo, UT, USA

Matthew D. Sanders Department of Economics, Brigham Young University, Provo, UT, USA

Michael N. Anderson Department of Economics, Brigham Young University, Provo, UT, USA

Delbert J. Eatough Department of Chemistry and Biochemistry, Brigham Young University, Provo, UT, USA

Figures & data

Figure 1. Overall schematic of the measurement and exposure protocol for (a) first exposure and (b) second exposure.

Table 1. Summary study dates, subject numbers, controlled exposure, and mean MVRI

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Figure 2. Paired associations between mean MVRI (and standard error bars) and previous 2-day ambient PM_2.5 exposure for (a) all participants and (b) female participants. Mean of all MVRI measures across subjects in each of the four panels calculated for each of the two visits plotted over previous 2-day ambient PM_2.5 for each of the visits.

Table 2. Regression coefficients from models that regressed MVRI on subject-specific fixed effects indicator variables and various combinations of a variable indicating exposure in the chamber, average local ambient PM_2.5 concentrations for the previous 2 days, and a diurnal trend variable

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Vascular Function and Short-Term Exposure to Fine Particulate Air Pollution

Table 1. Summary study dates, subject numbers, controlled exposure, and mean MVRI

Table 2. Regression coefficients from models that regressed MVRI on subject-specific fixed effects indicator variables and various combinations of a variable indicating exposure in the chamber, average local ambient PM_2.5 concentrations for the previous 2 days, and a diurnal trend variable

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Vascular Function and Short-Term Exposure to Fine Particulate Air Pollution

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Table 1. Summary study dates, subject numbers, controlled exposure, and mean MVRI

Table 2. Regression coefficients from models that regressed MVRI on subject-specific fixed effects indicator variables and various combinations of a variable indicating exposure in the chamber, average local ambient PM2.5 concentrations for the previous 2 days, and a diurnal trend variable

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Table 2. Regression coefficients from models that regressed MVRI on subject-specific fixed effects indicator variables and various combinations of a variable indicating exposure in the chamber, average local ambient PM_2.5 concentrations for the previous 2 days, and a diurnal trend variable