| Autor: |
Lin C; Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA 02111, USA., Lane KJ; Department of Environmental Health, Boston University School of Public Health, Boston, MA 02118, USA., Chomitz VR; Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA 02111, USA., Griffiths JK; Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA 02111, USA.; Department of Medicine, Tufts University School of Medicine and Tufts Medical Center, Boston, MA 02111, USA.; Department of Civil and Environmental Engineering, Tufts University School of Engineering, Medford, MA 02155, USA., Brugge D; Department of Public Health Sciences, University of Connecticut School of Medicine, Farmington, CT 06030, USA. |
| Abstrakt: |
In this article, we explored the effects of ultrafine particle (UFP) peak exposure on inflammatory biomarkers and blood lipids using two novel metrics-the intensity of peaks and the frequency of peaks. We used data previously collected by the Community Assessment of Freeway Exposure and Health project from participants in the Greater Boston Area. The UFP exposure data were time-activity-adjusted hourly average concentration, estimated using land use regression models based on mobile-monitored ambient concentrations. The outcome data included C-reactive protein, interleukin-6 (IL-6), tumor necrosis factor-alpha receptor 2 (TNF-RII), low-density lipoprotein (LDL), high-density lipoprotein (HDL), triglycerides and total cholesterol. For each health indicator, multivariate regression models were used to assess their associations with UFP peaks (N = 364-411). After adjusting for age, sex, body mass index, smoking status and education level, an increase in UFP peak exposure was significantly ( p < 0.05) associated with an increase in TNF-RII and a decrease in HDL and triglycerides. Increases in UFP peaks were also significantly associated with increased IL-6 and decreased total cholesterol, while the same associations were not significant when annual average exposure was used. Our work suggests that analysis using peak exposure metrics could reveal more details about the effect of environmental exposures than the annual average metric. |
