Evidence map›Paper›PMID 24090339›Full record

ArticleEnvironmental health : a global access science source2013

Highway proximity associated with cardiovascular disease risk: the influence of individual-level confounders and exposure misclassification.

Doug Brugge, Kevin Lane, Luz T Padró-Martínez, Andrea Stewart, Kyle Hoesterey, David Weiss, Ding Ding Wang, Jonathan I Levy, Allison P Patton, Wig Zamore and 1 more

Abstract read
In one paragraph

Article in Environmental health : a global access science source, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Noise causes cardiovascular disease: it's time to act.Journal of exposure science & environmental epidemiology · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

11 authors.

Doug BruggeTufts University School of Medicine, Boston, MA, USA. dbrugge@aol.com.
Kevin Lane
Luz T Padró-Martínez
Andrea Stewart
Kyle Hoesterey
David Weiss
Ding Ding Wang
Jonathan I Levy
Allison P Patton
Wig Zamore
Mkaya Mwamburi

Funding

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

Abstract

backgroundElevated cardiovascular disease risk has been reported with proximity to highways or busy roadways, but proximity measures can be challenging to interpret given potential confounders and exposure error.

methodsWe conducted a cross sectional analysis of plasma levels of C-Reactive Protein (hsCRP), Interleukin-6 (IL-6), Tumor Necrosis Factor alpha receptor II (TNF-RII) and fibrinogen with distance of residence to a highway in and around Boston, Massachusetts. Distance was assigned using ortho-photo corrected parcel matching, as well as less precise approaches such as simple parcel matching and geocoding addresses to street networks. We used a combined random and convenience sample of 260 adults >40 years old. We screened a large number of individual-level variables including some infrequently collected for assessment of highway proximity, and included a subset in our final regression models. We monitored ultrafine particle (UFP) levels in the study areas to help interpret proximity measures.

resultsUsing the orthophoto corrected geocoding, in a fully adjusted model, hsCRP and IL-6 differed by distance category relative to urban background: 43% (-16%,141%) and 49% (6%,110%) increase for 0-50 m; 7% (-39%,45%) and 41% (6%,86%) for 50-150 m; 54% (-2%,142%) and 18% (-11%,57%) for 150-250 m, and 49% (-4%, 131%) and 42% (6%, 89%) for 250-450 m. There was little evidence for association for TNF-RII or fibrinogen. Ortho-photo corrected geocoding resulted in stronger associations than traditional methods which introduced differential misclassification. Restricted analysis found the effect of proximity on biomarkers was mostly downwind from the highway or upwind where there was considerable local street traffic, consistent with patterns of monitored UFP levels.

conclusionWe found associations between highway proximity and both hsCRP and IL-6, with non-monotonic patterns explained partly by individual-level factors and differences between proximity and UFP concentrations. Our analyses emphasize the importance of controlling for the risk of differential exposure misclassification from geocoding error.

Indexed as

Environmental ExposureAdultAgedAir PollutantsBiomarkersBostonCardiovascular DiseasesCross-Sectional StudiesEnvironmental MonitoringFemaleHumansMaleMiddle AgedParticulate MatterResidence CharacteristicsRisk FactorsAir PollutantsBiomarkersParticulate MatterVehicle Emissions

Identifiers

PMID24090339
PMCPMC3907023

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LicenceCC BY
Read underepoch 390

Registered trials

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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.