Table 1.
Cardio-metabolic health outcomes measured among 25 Michigan residents in relation to fine particulate matter air pollution exposures in an urban environment
Pre-exposure block period (Visit 1: Study day #5) |
Exposure block period (Visit 2: Study day #16) |
Post-exposure block period (Visit 3: Study day #23) |
p† | ||
---|---|---|---|---|---|
Microvascular Function | |||||
Reactive Hyperemia Index (RHI) | 2.20 ± 0.72 | 2.05 ± 0.43 | 1.85 ± 0.40 | 0.14 | |
Arterial Compliance and Hemodynamics | |||||
Brachial Systolic Blood Pressure (mm Hg) | 116 ± 13 | 118 ± 14 | 120 ± 14 | 0.13 | |
Brachial Diastolic Blood Pressure (mm Hg) | 75 ± 10 | 76 ± 9 | 77 ± 9 | 0.17 | |
Heart Rate (beats•min−1) | 72 ± 12 | 68 ± 10 | 72 ± 11 | 0.08 | |
Central Aortic Systolic Blood Pressure (mm Hg) | 106.9 ±12.6 | 107.5 ±13.3 | 109.1 ± 14.5 | 0.25 | |
Augmentation Index @ HR 75 (%) | 13.8 ± 13.5 | 14.1 ± 11.2 | 14.6 ± 10.7 | 0.83 | |
Pulse Wave Velocity (m•sec−1) | 6.7 ± 1.3 | 6.5 ± 1.3 | 6.7 ± 1.4 | 0.96 | |
Heart Rate Variability | |||||
Standard Deviation of Normal-to-Normal Beats (SDNN) (msec) | 57.3 ± 34.6 | 65.1 ± 29.2 | 61.1 ± 29.7 | 0.30 | |
High Frequency Peak (msec2) | 1217 ± 2274 | 1544 ± 3762 | 1225 ± 2014 | 0.73 | |
Low Frequency Peak (msec2) | 996 ± 1420 | 1168 ± 1364 | 1120 ± 1020 | 0.71 | |
Low/High Frequency ratio | 2.1 ± 2.2 | 2.4 ± 2.6 | 2.2 ± 2.2 | 0.38 | |
Metabolic Blood Biomarkers | |||||
Glucose (mg•dl−1)* | 84.0 ± 8.0, n=24 | 74.3 ± 6.3, n=23 | 78.5 ± 7.1, n=23 | 0.001 | |
Insulin (µU•ml−1)* | 15.1 ± 5.8, n=24 | 12.5 ± 4.6, n=24 | 15.1 ± 6.4, n=24 | 0.08 | |
Homeostasis model assessment of insulin resistance (HOMA-IR)* | 3.26 ± 1.53, n=24 | 2.39 ± 0.98, n=24 | 2.79 ± 1.24, n=23 | 0.05 | |
Adiponectin (ng•ml−1) | 7021 ± 3539 | 6652 ± 4082 | 6705 ± 3274 | 0.46 |
All data are presented as mean ± SD, n=25
Data <25 samples in Table 1 values represent the results excluding extreme outliers for insulin and glucose (changes > 2 SD from mean probably representing incomplete fasting state)
P value represents significance of differences between the three measures determined using a general linear model repeated measures analysis of variance.