Evidence map›Paper›PMID 16046603›Full record

ArticleOccupational and environmental medicine2005

Exposure to traffic related air pollutants: self reported traffic intensity versus GIS modelled exposure.

J Heinrich, U Gehring, J Cyrys, M Brauer, G Hoek, P Fischer, T Bellander, B Brunekreef

Abstract readMulticenter Study
In one paragraph

Article in Occupational and environmental medicine, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. The methodology of quantitative risk assessment studies.Environmental health : a global access science source · 2024
    Review
  2. Perception Matters: Perceived vs. Objective Air Quality Measures and Asthma Diagnosis among Urban Adults.International journal of environmental research and public health · 2023
    Article
  3. Article
  4. Insomnia associated with traffic noise and proximity to traffic-a cross-sectional study of the Respiratory Health in Northern Europe III population.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2020
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Are neighborhood-level characteristics associated with indoor allergens in the household?The Journal of asthma : official journal of the Association for the Care of Asthma · 2010
    Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Exposure to traffic: lung function and health status in adults with asthma.The Journal of allergy and clinical immunology · 2009
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

J HeinrichGSF-National Research Center for Environment and Health, Institute of Epidemiology, Ingolstädter Landstrasse 1, D-85764 Neuherberg, Germany. Joachim.Heinrich@gsf.de
U Gehring
J Cyrys
M Brauer
G Hoek
P Fischer
T Bellander
B Brunekreef

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn epidemiological studies of the potential health effects of traffic related air pollution, self reported traffic intensity is a commonly used, but rarely validated, exposure variable.

methodsAs part of a study on the impact of Traffic Related Air Pollution on Childhood Asthma (TRAPCA), data from 2633 and 673 infants from the Dutch and the German-Munich cohorts, respectively, were available. Parents subjectively assessed traffic intensity at the home address. Objective exposures were estimated by a combination of spatial air pollution measurements and geographic information system (GIS) based modelling using an identical method for both cohorts.

resultsThe agreement rates between self reported and GIS modelled exposure--accumulated over the three strata of self assessed traffic intensity--were 55-58% for PM(2.5), filter absorbance (PM(2.5) abs), and nitrogen dioxide in Munich and 39-40% in the Netherlands. Of the self reported low traffic exposed group, 71-73% in Munich and 45-47% in the Netherlands had low modelled exposure to these three air pollutants. Of the self assessed high exposed subgroups in Munich (15% of the total population) and the Netherlands (22% of the total population), only 22-33% and 30-32% respectively had high modelled exposure to the three air pollutants. The subjective assessments tend to overestimate the modelled estimates for PM(2.5) and NO2 in both study areas. When analysis was restricted to the portion of the Dutch cohort living in non-urban areas, the agreement rates were even lower.

conclusionsSelf reported and modelled assessment of exposure to air pollutants are only weakly associated.

Indexed as

AdultAgedAir PollutantsAir PollutionCohort StudiesData CollectionGeographic Information SystemsGermanyHumansMiddle AgedNetherlandsResidence CharacteristicsSelf DisclosureSensitivity and SpecificitySocial ClassVehicle EmissionsAir PollutantsVehicle Emissions

Identifiers

PMID16046603
PMCPMC1741068

What OpenQuestion holds

Textmetadata
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.