Evidence map›Paper›PMID 24084758›Full record

ArticleJournal of exposure science & environmental epidemiology

Mapping the vertical distribution of population and particulate air pollution in a near-highway urban neighborhood: implications for exposure assessment.

Chih-Da Wu, Piers MacNaughton, Steve Melly, Kevin Lane, Gary Adamkiewicz, John L Durant, Doug Brugge, John D Spengler

Abstract read
In one paragraph

Article in Journal of exposure science & environmental epidemiology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. On the Need for Better Exposure Assessment for Air Pollution with High Spatial and Temporal Variation.International journal of environmental research and public health · 2019
    Article
  7. Article
  8. A Dynamic Three-Dimensional Air Pollution Exposure Model for Hong Kong.Research report (Health Effects Institute) · 2018
    Article
  9. Article
  10. 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

8 authors.

Chih-Da WuExposure, Epidemiology and Risk Program, Department of Environmental Health, Harvard School of Public Health, Boston, Massachusetts, USA.
Piers MacNaughtonExposure, Epidemiology and Risk Program, Department of Environmental Health, Harvard School of Public Health, Boston, Massachusetts, USA.
Steve MellyExposure, Epidemiology and Risk Program, Department of Environmental Health, Harvard School of Public Health, Boston, Massachusetts, USA.
Kevin LaneDepartment of Environmental Health, Boston University School of Public Health, Boston, Massachusetts, USA.
Gary AdamkiewiczExposure, Epidemiology and Risk Program, Department of Environmental Health, Harvard School of Public Health, Boston, Massachusetts, USA.
John L DurantDepartment of Civil and Environmental Engineering, School of Engineering, Tufts University, Medford, Massachusetts, USA.
Doug BruggeDepartment of Public Health and Community Medicine, School of Medicine, Tufts University, Boston, Massachusetts, USA.
John D SpenglerExposure, Epidemiology and Risk Program, Department of Environmental Health, Harvard School of Public Health, Boston, Massachusetts, USA.

Funding

Community Assessment of Freeway Pollution and HealthR01ES015462 · NIEHS · TUFTS UNIVERSITY BOSTON · PI BRUGGE, DOUG · 2008 to 2012
$2.5M
NIEHS NIH HHS ES015462NIEHS NIH HHS R01 ES015462
6 · The paper itself

Abstract

Owing to data collection challenges, the vertical variation in population in cities and particulate air pollution are typically not accounted for in exposure assessments, which may lead to misclassification of exposures based on elevation of residency. To better assess this misclassification, the vertical distribution of the potentially highly exposed population (PHEP), defined as all residents within the 100-m buffer zone of above-ground highways or the 200-m buffer zone of a highway-tunnel exit, was estimated for four floor categories in Boston's Chinatown (MA, USA) using the three-dimensional digital geography methodology. Vertical profiles of particle number concentration (7-3000 nm; PNC) and particulate matter (PM2.5) mass concentration were measured by hoisting instruments up the vertical face of an 11-story (35-m) building near the study area throughout the day on multiple days. The concentrations from all the profiles (n=23) were averaged together for each floor category. As measurement elevation increased from 0 to 35 m PNC decreased by 7.7%, compared with 3.6% for PM2.5. PHEP was multiplied by the average PNC for each floor category to assess exposures for near-highway populations. The results show that adding temporally-averaged vertical air pollution data had a small effect on residential ambient exposures for our study population; however, greater effects were observed when individual days were considered (e.g., winds were off the highways).

Indexed as

DemographyEnvironmental ExposureResidence CharacteristicsBostonGeographic Information SystemsHumansParticulate MatterParticulate Matter

Identifiers

PMID24084758
PMCPMC4530626

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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.