Evidence map›Paper›PMID 23149275›Full record

ArticleThe Science of the total environment2013

The Near-Road Exposures and Effects of Urban Air Pollutants Study (NEXUS): study design and methods.

Alan Vette, Janet Burke, Gary Norris, Matthew Landis, Stuart Batterman, Michael Breen, Vlad Isakov, Toby Lewis, M Ian Gilmour, Ali Kamal and 6 more

Abstract read
In one paragraph

Article in The Science of the total environment, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
5.9field-weighted citation impact, top 3% of its field
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

33 citing papers in PubMed, 81 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. On-Road Chemical Transformation as an Important Mechanism of NOEnvironmental science & technology · 2018
    Article
  12. Article
  13. Article
  14. Finely Resolved On-Road PMRisk analysis : an official publication of the Society for Risk Analysis · 2017
    Article
  15. Article
  16. Review
  17. Use of Medicaid and housing data may help target areas of high asthma prevalence.The Journal of asthma : official journal of the Association for the Care of Asthma · 2017
    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

16 authors at 2 institutions in 1 country.

Alan VetteUnited States Environmental Protection Agency, National Exposure Research Laboratory, 109 TW Alexander Dr., RTP, NC 27711, USA. vette.alan@epa.gov
Janet Burke
Gary Norris
Matthew Landis
Stuart Batterman
Michael Breen
Vlad Isakov
Toby Lewis
M Ian Gilmour
Ali Kamal
Davyda Hammond
Ram Vedantham
Sarah Bereznicki
Nancy Tian
Carry Croghan
Community Action Against Asthma Steering Committee
Environmental Protection Agency · USUniversity of Michigan–Ann Arbor · US

Funding

Strategic Vision & Impact on Environmental HealthP30ES017885 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI John D. Meeker · 2011 to 2026
$21.5M
Role of Diesel and Other Vehicular Exhaust in Exacerbation of Childhood AsthmaR01ES014677 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ROBINS, THOMAS G · 2007 to 2011
$4.0M
Interactions of Diesel Exhaust and Respiratory Viruses in Asthmatic ChildrenR01ES016769 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LEWIS, TOBY C · 2010 to 2014
$3.0M
NIEHS NIH HHS P30 ES017885NIEHS NIH HHS R01 ES014677NIEHS NIH HHS R01 ES016769NIEHS NIH HHS R01 ES016769-01PHS HHS 5-R01-ESO14677-02
6 · The paper itself

Abstract

The Near-Road Exposures and Effects of Urban Air Pollutants Study (NEXUS) was designed to examine the relationship between near-roadway exposures to air pollutants and respiratory outcomes in a cohort of asthmatic children who live close to major roadways in Detroit, Michigan USA. From September 2010 to December 2012 a total of 139 children with asthma, ages 6-14, were enrolled in the study on the basis of the proximity of their home to major roadways that carried different amounts of diesel traffic. The goal of the study was to investigate the effects of traffic-associated exposures on adverse respiratory outcomes, biomolecular markers of inflammatory and oxidative stress, and how these exposures affect the frequency and severity of respiratory viral infections in a cohort of children with asthma. An integrated measurement and modeling approach was used to quantitatively estimate the contribution of traffic sources to near-roadway air pollution and evaluate predictive models for assessing the impact of near-roadway pollution on children's exposures. Two intensive field campaigns were conducted in Fall 2010 and Spring 2011 to measure a suite of air pollutants including PM2.5 mass and composition, oxides of nitrogen (NO and NO2), carbon monoxide, and black carbon indoors and outdoors of 25 participants' homes, at two area schools, and along a spatial transect adjacent to I-96, a major highway in Detroit. These data were used to evaluate and refine models to estimate air quality and exposures for each child on a daily basis for the health analyses. The study design and methods are described, and selected measurement results from the Fall 2010 field intensive are presented to illustrate the design and successful implementation of the study. These data provide evidence of roadway impacts and exposure variability between study participants that will be further explored for associations with the health measures.

Indexed as

AdolescentAir PollutantsAsthmaBiomarkersCells, CulturedChildCitiesCohort StudiesEnvironmental MonitoringHumansInflammationMichiganModels, TheoreticalMotor VehiclesRespiratory Tract InfectionsSootAir PollutantsBiomarkersSootVehicle Emissions

Identifiers

PMID23149275
PMCPMC4243518
OpenAlexW2082352821

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.