MARC details
| 000 -LEADER |
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| fixed length control field |
03569nam a22003857a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
231220s20232023 xxu||||| |||| 00| 0 eng d |
| 022 ## - INTERNATIONAL STANDARD SERIAL NUMBER |
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| International Standard Serial Number |
0013-9351 |
| 024 ## - OTHER STANDARD IDENTIFIER |
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| Standard number or code |
10.1016/j.envres.2023.117091 [doi] |
| 024 ## - OTHER STANDARD IDENTIFIER |
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| Standard number or code |
S0013-9351(23)01895-9 [pii] |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
Ovid MEDLINE(R) |
| 099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC) |
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| PMID |
37683786 |
| 245 ## - TITLE STATEMENT |
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| Title |
Fine particulate matter composition in American Indian vs. Non-American Indian communities. |
| 251 ## - Source |
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| Source |
Environmental Research. 237(Pt 2):117091, 2023 Sep 06. |
| 252 ## - Abbreviated Source |
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| Abbreviated source |
Environ Res. 237(Pt 2):117091, 2023 Sep 06. |
| 253 ## - Journal Name |
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| Journal name |
Environmental research |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
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| Year |
2023 |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
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| Manufacturer |
FY2024 |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
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| Publication date |
2023 Sep 06 |
| 265 ## - SOURCE FOR ACQUISITION/SUBSCRIPTION ADDRESS [OBSOLETE] |
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| Publication status |
aheadofprint |
| 265 ## - SOURCE FOR ACQUISITION/SUBSCRIPTION ADDRESS [OBSOLETE] |
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| Medline status |
Publisher |
| 266 ## - Date added to catalog |
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| Date added to catalog |
2023-12-20 |
| 520 ## - SUMMARY, ETC. |
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| Abstract |
BACKGROUND: Fine particulate matter (PM2.5) exposure is a known risk factor for numerous adverse health outcomes, with varying estimates of component-specific effects. Populations with compromised health conditions such as diabetes can be more sensitive to the health impacts of air pollution exposure. Recent trends in PM2.5 in primarily American Indian- (AI-) populated areas examined in previous work declined more gradually compared to the declines observed in the rest of the US. To further investigate components contributing to these findings, we compared trends in concentrations of six PM2.5 components in AI- vs. non-AI-populated counties over time (2000-2017) in the contiguous US. |
| 520 ## - SUMMARY, ETC. |
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| Abstract |
CONCLUSIONS: This study indicates time trend differences of specific components by AI-populated county type. Notably, decreases in sulfate and ammonium may contribute to steeper declines in total PM2.5 in non-AI vs. AI-populated counties. These findings provide potential directives for additional monitoring and regulations of key emissions sources impacting tribal lands. Copyright © 2023 Elsevier Inc. All rights reserved. |
| 520 ## - SUMMARY, ETC. |
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| Abstract |
METHODS: We implemented component-specific linear mixed models to estimate differences in annual county-level concentrations of sulfate, nitrate, ammonium, organic matter, black carbon, and mineral dust from well-validated surface PM2.5 models in AI- vs. non-AI-populated counties, using a multi-criteria approach to classify counties as AI- or non-AI-populated. Models adjusted for population density and median household income. We included interaction terms with calendar year to estimate whether concentration differences in AI- vs. non-AI-populated counties varied over time. |
| 520 ## - SUMMARY, ETC. |
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| Abstract |
RESULTS: Our final analysis included 3108 counties, with 199 (6.4%) classified as AI-populated. On average across the study period, adjusted concentrations of all six PM2.5 components in AI-populated counties were significantly lower than in non-AI-populated counties. However, component-specific levels in AI- vs. non-AI-populated counties varied over time: sulfate and ammonium levels were significantly lower in AI- vs. non-AI-populated counties before 2011 but higher after 2011 and nitrate levels were consistently lower in AI-populated counties. |
| 546 ## - LANGUAGE NOTE |
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| Language note |
English |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name entry element |
IN PROCESS -- NOT YET INDEXED |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Indexing |
Automated |
| 651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME |
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| Institution |
MedStar Health Research Institute |
| 657 ## - INDEX TERM--FUNCTION |
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| Medline publication type |
Journal Article |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
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| Local Authors |
Umans, Jason G |
| Institution Code |
MHRI |
| 790 ## - Authors |
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| All authors |
Li M, Do V, Brooks JL, Hilpert M, Goldsmith J, Chillrud SN, Ali T, Best LG, Yracheta J, Umans JG, van Donkelaar A, Martin RV, Navas-Acien A, Kioumourtzoglou MA |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
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| DOI |
<a href="https://dx.doi.org/10.1016/j.envres.2023.117091">https://dx.doi.org/10.1016/j.envres.2023.117091</a> |
| Public note |
https://dx.doi.org/10.1016/j.envres.2023.117091 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Koha item type |
Journal Article |
| Item type description |
Article |
