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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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Formato: | Texto |
Lenguaje: | English |
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National Institute of Environmental Health Sciences
2008
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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 |
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author | Chen, Jiu-Chiuan Schwartz, Joel |
author_facet | Chen, Jiu-Chiuan Schwartz, Joel |
author_sort | Chen, Jiu-Chiuan |
collection | PubMed |
description | 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. |
format | Text |
id | pubmed-2367655 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | National Institute of Environmental Health Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-23676552008-05-09 Metabolic Syndrome and Inflammatory Responses to Long-Term Particulate Air Pollutants Chen, Jiu-Chiuan Schwartz, Joel Environ Health Perspect Research 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. National Institute of Environmental Health Sciences 2008-05 2008-02-25 /pmc/articles/PMC2367655/ /pubmed/18470293 http://dx.doi.org/10.1289/ehp.10565 Text en http://creativecommons.org/publicdomain/mark/1.0/ Publication of EHP lies in the public domain and is therefore without copyright. All text from EHP may be reprinted freely. Use of materials published in EHP should be acknowledged (for example, ?Reproduced with permission from Environmental Health Perspectives?); pertinent reference information should be provided for the article from which the material was reproduced. Articles from EHP, especially the News section, may contain photographs or illustrations copyrighted by other commercial organizations or individuals that may not be used without obtaining prior approval from the holder of the copyright. |
spellingShingle | Research Chen, Jiu-Chiuan Schwartz, Joel Metabolic Syndrome and Inflammatory Responses to Long-Term Particulate Air Pollutants |
title | Metabolic Syndrome and Inflammatory Responses to Long-Term Particulate Air Pollutants |
title_full | Metabolic Syndrome and Inflammatory Responses to Long-Term Particulate Air Pollutants |
title_fullStr | Metabolic Syndrome and Inflammatory Responses to Long-Term Particulate Air Pollutants |
title_full_unstemmed | Metabolic Syndrome and Inflammatory Responses to Long-Term Particulate Air Pollutants |
title_short | Metabolic Syndrome and Inflammatory Responses to Long-Term Particulate Air Pollutants |
title_sort | metabolic syndrome and inflammatory responses to long-term particulate air pollutants |
topic | Research |
url | 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 |
work_keys_str_mv | AT chenjiuchiuan metabolicsyndromeandinflammatoryresponsestolongtermparticulateairpollutants AT schwartzjoel metabolicsyndromeandinflammatoryresponsestolongtermparticulateairpollutants |