دورية أكاديمية
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Comparing the Health Effects of Ambient Particulate Matter Estimated Using Ground-Based versus Remote Sensing Exposure Estimates.

التفاصيل البيبلوغرافية
العنوان: Comparing the Health Effects of Ambient Particulate Matter Estimated Using Ground-Based versus Remote Sensing Exposure Estimates.
المؤلفون: Jerrett M; Department of Environmental Health Sciences, Fielding School of Public Health, University of California, Los Angeles, Los Angeles, California, USA., Turner MC, Beckerman BS, Pope CA, van Donkelaar A, Martin RV, Serre M, Crouse D, Gapstur SM, Krewski D, Diver WR, Coogan PF, Thurston GD, Burnett RT
المصدر: Environmental health perspectives [Environ Health Perspect] 2017 Apr; Vol. 125 (4), pp. 552-559. Date of Electronic Publication: 2016 Sep 09.
نوع المنشور: Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, P.H.S.; Research Support, Non-U.S. Gov't
اللغة: English
بيانات الدورية: Publisher: National Institute of Environmental Health Sciences Country of Publication: United States NLM ID: 0330411 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1552-9924 (Electronic) Linking ISSN: 00916765 NLM ISO Abbreviation: Environ Health Perspect Subsets: MEDLINE
أسماء مطبوعة: Original Publication: Research Triangle Park, N. C. National Institute of Environmental Health Sciences.
مواضيع طبية MeSH: Remote Sensing Technology*, Air Pollutants/*analysis , Environmental Exposure/*statistics & numerical data , Particulate Matter/*analysis, Air Pollution/statistics & numerical data ; Health Status ; Humans ; Models, Theoretical ; Risk Assessment
مستخلص: Background: Remote sensing (RS) is increasingly used for exposure assessment in epidemiological and burden of disease studies, including those investigating whether chronic exposure to ambient fine particulate matter (PM 2.5 ) is associated with mortality.
Objectives: We compared relative risk estimates of mortality from diseases of the circulatory system for PM 2.5 modeled from RS with that for PM 2.5 modeled using ground-level information.
Methods: We geocoded the baseline residence of 668,629 American Cancer Society Cancer Prevention Study II (CPS-II) cohort participants followed from 1982 to 2004 and assigned PM 2.5 levels to all participants using seven different exposure models. Most of the exposure models were averaged for the years 2002-2004, and one RS estimate was for a longer, contemporaneous period. We used Cox proportional hazards regression to estimate relative risks (RRs) for the association of PM 2.5 with circulatory mortality and ischemic heart disease.
Results: Estimates of mortality risk differed among exposure models. The smallest relative risk was observed for the RS estimates that excluded ground-based monitors for circulatory deaths [RR = 1.02, 95% confidence interval (CI): 1.00, 1.04 per 10 μg/m 3 increment in PM 2.5 ]. The largest relative risk was observed for the land-use regression model that included traffic information (RR = 1.14, 95% CI: 1.11, 1.17 per 10 μg/m 3 increment in PM 2.5 ).
Conclusions: We found significant associations between PM 2.5 and mortality in every model; however, relative risks estimated from exposure models using ground-based information were generally larger than those estimated using RS alone.
التعليقات: Comment in: Environ Health Perspect. 2017 Mar 31;125(4):A73. (PMID: 28362629)
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معلومات مُعتمدة: P30 ES000260 United States ES NIEHS NIH HHS; R01 ES019573 United States ES NIEHS NIH HHS
المشرفين على المادة: 0 (Air Pollutants)
0 (Particulate Matter)
تواريخ الأحداث: Date Created: 20160910 Date Completed: 20170803 Latest Revision: 20240325
رمز التحديث: 20240325
مُعرف محوري في PubMed: PMC5382001
DOI: 10.1289/EHP575
PMID: 27611476
قاعدة البيانات: MEDLINE
الوصف
تدمد:1552-9924
DOI:10.1289/EHP575