Evidence map›Paper›PMID 24950160›Full record

ArticleEnvironment international2014

Health effects of multi-pollutant profiles.

Antonella Zanobetti, Elena Austin, Brent A Coull, Joel Schwartz, Petros Koutrakis

Abstract read
In one paragraph

Article in Environment international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
–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

30 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
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  8. Article
  9. Air Pollution, Neonatal Immune Responses, and Potential Joint Effects of Maternal Depression.International journal of environmental research and public health · 2021
    Article
  10. Article
  11. Article
  12. Using Latent Class Modeling to Jointly Characterize Economic Stress and Multipollutant Exposure.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    Article
  13. Review
  14. Exposure to urban particulate matter and its association with human health risks.Environmental science and pollution research international · 2020
    Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
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

5 authors.

Antonella ZanobettiDepartment of Environmental Health, Harvard School of Public Health, Boston, United States. Electronic address: azanobet@hsph.harvard.edu.
Elena AustinDepartment of Environmental Health, Harvard School of Public Health, Boston, United States.
Brent A CoullDepartment of Biostatistics, Harvard School of Public Health, Boston, United States.
Joel SchwartzDepartment of Environmental Health, Harvard School of Public Health, Boston, United States.
Petros KoutrakisDepartment of Environmental Health, Harvard School of Public Health, Boston, United States.

Funding

Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI SUSAN A KORRICK · 1985 to 2026
$44.6M
NIEHS NIH HHS ES000002.NIEHS NIH HHS P30 ES000002
6 · The paper itself

Abstract

backgroundThe association between exposure to particle mass and mortality is well established; however, there are still uncertainties as to whether certain chemical components are more harmful than others. Moreover, understanding the health effects associated with exposure to pollutant mixtures may lead to new regulatory strategies.

objectivesRecently we have introduced a new approach that uses cluster analysis to identify distinct air pollutant mixtures by classifying days into groups based on their pollutant concentration profiles. In Boston during the years 1999-2009, we examined whether the effect of PM2.5 on total mortality differed by distinct pollution mixtures.

methodsWe applied a time series analysis to examine the association of PM2.5 with daily deaths. Subsequently, we included an interaction term between PM2.5 and the pollution mixture clusters.

resultsWe found a 1.1% increase (95% CI: 0.0, 2.2) and 2.3% increase (95% CI: 0.9-3.7) in total mortality for a 10 μg/m(3) increase in the same day and the two-day average of PM2.5 respectively. The association is larger in a cluster characterized by high concentrations of the elements related to primary traffic pollution and oil combustion emissions with a 3.7% increase (95% CI: 0.4, 7.1) in total mortality, per 10 μg/m(3) increase in the same day average of PM2.5.

conclusionsOur study shows a higher association of PM2.5 on total mortality during days with a strong contribution of traffic emissions, and fuel oil combustion. Our proposed method to create multi-pollutant profiles is robust, and provides a promising tool to identify multi-pollutant mixtures which can be linked to the health effects.

Indexed as

Environmental ExposureAir PollutionBostonCluster AnalysisEnvironmental MonitoringHumansMortalityParticulate MatterTime FactorsVehicle EmissionsParticulate MatterVehicle EmissionsFine particulate air pollutionPollutant mixturesTotal mortality

Identifiers

PMID24950160
PMCPMC4383187

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.