Evidence map›Paper›PMID 22669499›Full record

ArticleJournal of exposure science & environmental epidemiology2012

Time series analysis of personal exposure to ambient air pollution and mortality using an exposure simulator.

Howard H Chang, Montserrat Fuentes, H Christopher Frey

Abstract read
In one paragraph

Article in Journal of exposure science & environmental epidemiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
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  7. Article
  8. The Impact of Individual Mobility on Long-Term Exposure to Ambient PMInternational journal of environmental research and public health · 2021
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Howard H ChangDepartment of Biostatistics and Bioinformatics, Emory University, 1518 Clifton Road. NE. Mailstop: 1518-002-3AA, Atlanta, Georgia, USA.
Montserrat Fuentes
H Christopher Frey

Funding

Space-time Modeling for Linking Climate Change,Pollutant Exposure, Built EnvironmR01ES014843 · NIEHS · NORTH CAROLINA STATE UNIVERSITY RALEIGH · PI REICH, BRIAN J. · 2008 to 2013
$2.0M
NIEHS NIH HHS R01 ES014843NIEHS NIH HHS R01ES014843-01A2
6 · The paper itself

Abstract

This paper describes a modeling framework for estimating the acute effects of personal exposure to ambient air pollution in a time series design. First, a spatial hierarchical model is used to relate Census tract-level daily ambient concentrations and simulated exposures for a subset of the study period. The complete exposure time series is then imputed for risk estimation. Modeling exposure via a statistical model reduces the computational burden associated with simulating personal exposures considerably. This allows us to consider personal exposures at a finer spatial resolution to improve exposure assessment and for a longer study period. The proposed approach is applied to an analysis of fine particulate matter of <2.5 μm in aerodynamic diameter (PM(2.5)) and daily mortality in the New York City metropolitan area during the period 2001-2005. Personal PM(2.5) exposures were simulated from the Stochastic Human Exposure and Dose Simulation. Accounting for exposure uncertainty, the authors estimated a 2.32% (95% posterior interval: 0.68, 3.94) increase in mortality per a 10 μg/m(3) increase in personal exposure to PM(2.5) from outdoor sources on the previous day. The corresponding estimates per a 10 μg/m(3) increase in PM(2.5) ambient concentration was 1.13% (95% confidence interval: 0.27, 2.00). The risks of mortality associated with PM(2.5) were also higher during the summer months.

Indexed as

Air PollutionEnvironmental ExposureHumansMarkov ChainsModels, StatisticalMortalityNew York CityParticulate MatterRisk AssessmentSeasonsStochastic ProcessesParticulate Matter

Identifiers

PMID22669499
PMCPMC3657344

What OpenQuestion holds

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Registered trials

None linked

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.