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Metabolic Syndrome and Inflammatory Responses to Long-Term Particulate Air Pollutants

BACKGROUND: Human data linking inflammation with long-term particulate matter (PM) exposure are still lacking. Emerging evidence suggests that people with metabolic syndrome (MS) may be a more susceptible population. OBJECTIVES: Our goal was to examine potential inflammatory responses associated wit...

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Detalles Bibliográficos
Autores principales: Chen, Jiu-Chiuan, Schwartz, Joel
Formato: Texto
Lenguaje:English
Publicado: National Institute of Environmental Health Sciences 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2367655/
https://www.ncbi.nlm.nih.gov/pubmed/18470293
http://dx.doi.org/10.1289/ehp.10565
Descripción
Sumario:BACKGROUND: Human data linking inflammation with long-term particulate matter (PM) exposure are still lacking. Emerging evidence suggests that people with metabolic syndrome (MS) may be a more susceptible population. OBJECTIVES: Our goal was to examine potential inflammatory responses associated with long-term PM exposure and MS-dependent susceptibility. METHODS: We conducted secondary analyses of white blood cell (WBC) count and MS data from The Third National Health and Nutrition Examination Survey and PM(10) (PM with aerodynamic diameter < 10 μm) data from the U.S. Environmental Protection Agency Aerometric Information Retrieval System. Estimated 1-year PM(10) exposures were aggregated at the centroid of each residential census-block group, using distance-weighted averages from all monitors in the residing and adjoining counties. We restricted our analyses to adults (20–89 years of age) with normal WBC (4,000–11,000 × 10(6)/L), no existing cardiovascular disease, complete PM(10) and MS data, and living in current residences > 1 year (n = 2,978; age 48.5 ± 17.8 years). Mixed-effects models were constructed to account for autocorrelation and potential confounders. RESULTS: After adjustment for demographics, socioeconomic factors, lifestyles, residential characteristics, and MS, we observed a statistically significant association between WBC count and estimated local PM(10) levels (p = 0.035). Participants from the least polluted areas (1-year PM(10) < 1st quartile cutoff: 27.8 μg/m(3)) had lower WBC counts than the others (difference = 145 × 10(6)/L; 95% confidence interval, 10–281). We also noted a graded association between PM(10) and WBC across subpopulations with increasing MS components, with 91 × 10(6)/L difference in WBC for those with no MS versus 214, 338, and 461 × 10(6)/L for those with 3, 4, and 5 metabolic abnormalities (trend-test p = 0.15). CONCLUSIONS: Our study revealed a positive association between long-term PM exposure and hematological markers of inflammation and supported the hypothesized MS-dependent susceptibility.