Evidence map›Paper›PMID 28445425›Full record

ArticleInternational journal of environmental research and public health2017

Association of Long-Term Near-Highway Exposure to Ultrafine Particles with Cardiovascular Diseases, Diabetes and Hypertension.

Yu Li, Kevin J Lane, Laura Corlin, Allison P Patton, John L Durant, Mohan Thanikachalam, Mark Woodin, Molin Wang, Doug Brugge

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 4 pooled it
–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

23 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Systematic review and meta-analysis on the health effects of long-term exposure to ultrafine particles.European respiratory review : an official journal of the European Respiratory Society · 2026
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  20. Relationship of Time-Activity-Adjusted Particle Number Concentration with Blood Pressure.International journal of environmental research and public health · 2018
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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

9 authors.

Yu LiDepartment of Rheumatology, Allergy and Immunology, Massachusetts General Hospital, Boston, MA 02114, USA. yul079@mail.harvard.edu.
Kevin J LaneYale School of Forestry and Environmental Studies, Yale University, New Haven, CT 06511, USA. k.lanejr@gmail.com.
Laura CorlinDepartment of Civil and Environmental Engineering, Tufts University, Medford, MA 02155, USA. lauracorlin25@gmail.com.
Allison P PattonDepartment of Civil and Environmental Engineering, Tufts University, Medford, MA 02155, USA. allison.patton@alumni.tufts.edu.
John L DurantDepartment of Civil and Environmental Engineering, Tufts University, Medford, MA 02155, USA. john.durant@tufts.edu.
Mohan ThanikachalamDepartment of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA 02111, USA. mohan.thanikachalam@tufts.edu.
Mark WoodinDepartment of Civil and Environmental Engineering, Tufts University, Medford, MA 02155, USA. m_woodin@yahoo.com.
Molin WangChanning Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA. stmow@channing.harvard.edu.
Doug BruggeDepartment of Civil and Environmental Engineering, Tufts University, Medford, MA 02155, USA. doug.brugge@gmail.com.

Funding

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

Abstract

Ultrafine particle (UFP) concentrations are elevated near busy roadways, however, their effects on prevalence of cardiovascular diseases, diabetes, and hypertension are not well understood. To investigate these associations, data on demographics, diseases, medication use, and time of activities were collected by in-home surveys for 704 participants in three pairs of near-highway and urban background neighborhoods in and near Boston (MA, USA). Body mass index (BMI) was measured for a subset of 435 participants. Particle number concentration (PNC, a measure of UFP) was collected by mobile monitoring in each area. Intra-neighborhood spatial-temporal regression models (approximately 20 m resolution) were used to estimate hourly ambient PNC at the residences of participants. We used participant time activity information to adjust annual average residential PNC values and assign individualized time activity adjusted annual average PNC exposures (TAA-PNC). Using multivariate logistic regression models, we found an odds ratio (OR) of 1.35 (95% CI: 0.83, 2.22) of TAA-PNC with stroke and ischemic heart diseases (S/IHD), an OR of 1.14 (95% CI: 0.81, 1.62) with hypertension, and an OR of 0.71 (95% CI: 0.46, 1.10) for diabetes. A subset analysis controlling for BMI produced slightly stronger associations for S/IHD (OR = 1.61, 95% CI: 0.88, 2.92) and hypertension (OR = 1.28, 95% CI: 0.81, 2.02), and no association with diabetes (OR = 1.09, 95% CI = 0.61, 1.96). Further research is needed with larger sample sizes and longitudinal follow-up.

Indexed as

Environmental ExposureAdultAgedAir PollutantsBostonCardiovascular DiseasesCross-Sectional StudiesDiabetes MellitusEnvironmental MonitoringFemaleHumansHypertensionMaleMiddle AgedParticle SizeParticulate MatterAir PollutantsParticulate MatterVehicle Emissionsdiabeteshypertensionischemic heart diseasetime-activity adjusted particle number concentrationultrafine particles

Identifiers

PMID28445425
PMCPMC5451912

What OpenQuestion holds

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LicenceCC BY
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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.