Dataset Information

Fine particulate matter and cardiovascular disease: Comparison of assessment methods for long-term exposure.

ABSTRACT: Adverse cardiovascular events have been linked with PM2.5 exposure obtained primarily from air quality monitors, which rarely co-locate with participant residences. Modeled PM2.5 predictions at finer resolution may more accurately predict residential exposure; however few studies have compared results across different exposure assessment methods.We utilized a cohort of 5679 patients who had undergone a cardiac catheterization between 2002-2009 and resided in NC. Exposure to PM2.5 for the year prior to catheterization was estimated using data from air quality monitors (AQS), Community Multiscale Air Quality (CMAQ) fused models at the census tract and 12km spatial resolutions, and satellite-based models at 10km and 1km resolutions. Case status was either a coronary artery disease (CAD) index >23 or a recent myocardial infarction (MI). Logistic regression was used to model odds of having CAD or an MI with each 1-unit (?g/m3) increase in PM2.5, adjusting for sex, race, smoking status, socioeconomic status, and urban/rural status.We found that the elevated odds for CAD>23 and MI were nearly equivalent for all exposure assessment methods. One difference was that data from AQS and the census tract CMAQ showed a rural/urban difference in relative risk, which was not apparent with the satellite or 12km-CMAQ models.Long-term air pollution exposure was associated with coronary artery disease for both modeled and monitored data.

SUBMITTER: McGuinn LA

PROVIDER: S-EPMC6100751 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Fine particulate matter and cardiovascular disease: Comparison of assessment methods for long-term exposure.

McGuinn Laura A LA Ward-Caviness Cavin C Neas Lucas M LM Schneider Alexandra A Di Qian Q Chudnovsky Alexandra A Schwartz Joel J Koutrakis Petros P Russell Armistead G AG Garcia Val V Kraus William E WE Hauser Elizabeth R ER Cascio Wayne W Diaz-Sanchez David D Devlin Robert B RB

Environmental research 20170729

<h4>Background</h4>Adverse cardiovascular events have been linked with PM<sub>2.5</sub> exposure obtained primarily from air quality monitors, which rarely co-locate with participant residences. Modeled PM<sub>2.5</sub> predictions at finer resolution may more accurately predict residential exposure; however few studies have compared results across different exposure assessment methods.<h4>Methods</h4>We utilized a cohort of 5679 patients who had undergone a cardiac catheterization between 2002- ...[more]

PMID: 28763730

Similar Datasets

Project description:BACKGROUND: More than a decade of satellite observations offers global information about the trend and magnitude of human exposure to fine particulate matter (PM2.5). OBJECTIVE: In this study, we developed improved global exposure estimates of ambient PM2.5 mass and trend using PM2.5 concentrations inferred from multiple satellite instruments. METHODS: We combined three satellite-derived PM2.5 sources to produce global PM2.5 estimates at about 10 km × 10 km from 1998 through 2012. For each source, we related total column retrievals of aerosol optical depth to near-ground PM2.5 using the GEOS-Chem chemical transport model to represent local aerosol optical properties and vertical profiles. We collected 210 global ground-based PM2.5 observations from the literature to evaluate our satellite-based estimates with values measured in areas other than North America and Europe. RESULTS: We estimated that global population-weighted ambient PM2.5 concentrations increased 0.55 ?g/m3/year (95% CI: 0.43, 0.67) (2.1%/year; 95% CI: 1.6, 2.6) from 1998 through 2012. Increasing PM2.5 in some developing regions drove this global change, despite decreasing PM2.5 in some developed regions. The estimated proportion of the population of East Asia living above the World Health Organization (WHO) Interim Target-1 of 35 ?g/m3 increased from 51% in 1998-2000 to 70% in 2010-2012. In contrast, the North American proportion above the WHO Air Quality Guideline of 10 ?g/m3 fell from 62% in 1998-2000 to 19% in 2010-2012. We found significant agreement between satellite-derived estimates and ground-based measurements outside North America and Europe (r = 0.81; n = 210; slope = 0.68). The low bias in satellite-derived estimates suggests that true global concentrations could be even greater. CONCLUSIONS: Satellite observations provide insight into global long-term changes in ambient PM2.5 concentrations. Satellite-derived estimates and ground-based PM2.5 observations from this study are available for public use.

Project description:BACKGROUND:Long-term exposure to particulate matter (PM) air pollution may increase blood pressure and the risk of hypertension. However, epidemiological evidence is scarce and inconsistent. OBJECTIVES:We investigated the associations between long-term exposure to PM with an aerodynamic diameter <2.5?m (PM2.5), blood pressure, and incident hypertension in a large Taiwanese cohort. METHODS:We studied 361,560 adults ?18y old from a large cohort who participated in a standard medical examination program during 2001 to 2014. Among this group, 125,913 nonhypertensive participants were followed up. A satellite-based spatiotemporal model was used to estimate the 2-y average PM2.5 concentrations at each participant's address. Multivariable linear regression was used in the cross-sectional data analysis with the 361,560 participants to investigate the associations between PM2.5 and systolic blood pressure (SBP), diastolic blood pressure (DBP), and pulse pressure (PP), and Cox proportional hazard regression was used in the cohort data analysis with the 125,913 participants to investigate the associations between PM2.5 and incident hypertension. RESULTS:Each 10-?g/m3 increment in the 2-y average PM2.5 concentration was associated with increases of 0.45?mmHg [95% confidence interval (CI): 0.40, 0.50], 0.07?mmHg (95% CI: 0.04, 0.11), and 0.38?mmHg (95% CI: 0.33, 0.42) in SBP, DBP, and PP, respectively, after adjusting for a wide range of covariates and possible confounders. Each 10-?g/m3 increment in the 2-y average PM2.5 concentration was associated with an increase of 3% in the risk of developing hypertension [hazard?ratio=1.03 (95% CI: 1.01, 1.05)]. Stratified and sensitivity analyses yielded similar results. CONCLUSIONS:Long-term exposure to PM2.5 air pollution is associated with higher blood pressure and an increased risk of hypertension. These findings reinforce the importance of air pollution mitigation strategies to reduce the risk of cardiovascular disease. https://doi.org/10.1289/EHP2466.

Dataset Information

Fine particulate matter and cardiovascular disease: Comparison of assessment methods for long-term exposure.

Publications

Fine particulate matter and cardiovascular disease: Comparison of assessment methods for long-term exposure.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets