Evidence map›Paper›PMID 29884205›Full record

ArticleInternational journal of health geographics2018

Ambient air quality and spatio-temporal patterns of cardiovascular emergency department visits.

Eun-Hye Yoo, Patrick Brown, Youngseob Eum

Abstract read
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Article in International journal of health geographics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Eun-Hye YooDepartment of Geography, University at Buffalo, Buffalo, NY, USA. eunhye@buffalo.edu.ORCID 0000-0001-5057-2187
Patrick BrownDepartment of Statistical Sciences, University of Toronto, Toronto, Canada.
Youngseob EumDepartment of Geography, University at Buffalo, Buffalo, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAir pollutants have been associated with various adverse health effects, including increased rates of hospital admissions and emergency room visits. Although numerous time-series studies and case-crossover studies have estimated associations between day-to-day variation in pollutant levels and mortality/morbidity records, studies on geographic variations in emergency department use and the spatial effects in their associations with air pollution exposure are rare.

methodsWe focused on the elderly who visited emergency room for cardiovascular related disease (CVD) in 2011. Using spatially and temporally resolved multi-pollutant exposures, we investigated the effect of short-term exposures to ambient air pollution on emergency department utilization. We developed two statistical models with and without spatial random effects within a hierarchical Bayesian framework to capture the spatial heterogeneity and spatial autocorrelation remaining in emergency department utilization.

resultsAlthough the cardiovascular effect of spatially homogeneous pollutants, such as PM2.5 and ozone, was unchanged, we found the cardiovascular effect of NO[Formula: see text] was pronounced after accounting for the spatially correlated structure in emergency department utilization. We also identified areas with high ED utilization for CVD among the elderly and assessed the uncertainty associated with risk estimates.

conclusionsWe assessed the short-term effect of multi-pollutants on cardiovascular risk of the elderly and demonstrated the use of community multiscale air quality model-derived spatially and temporally resolved multi-pollutant exposures to an epidemiological study. Our results indicate that NO[Formula: see text] was significantly associated with the elevated ED utilization for CVD among the elderly.

Indexed as

Spatial AnalysisAdolescentAdultAgedAir PollutionCardiovascular DiseasesChildChild, PreschoolCross-Over StudiesEmergency Service, HospitalEnvironmental ExposureFemaleHumansInfantInfant, NewbornMaleParticulate MatterAmbient air qualityCardiovascular disease (CVD)Community multiscale air quality (CMAQ)Emergency department (ED) visitsHierarchical Bayesian modelSpatial effects

Identifiers

PMID29884205
PMCPMC5994043

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.