ArticleEnvironmental health : a global access science source2016
Asthma exacerbations and traffic: examining relationships using link-based traffic metrics and a comprehensive patient database.
Article in Environmental health : a global access science source, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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.
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.
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Who cites it
8 citing papers in PubMed, 21 citations in OpenAlex.
- Artificial intelligence-assisted clinical decision support for childhood asthma management: A randomized clinical trial.PloS one · 2021Trial
- A census tract-level assessment of social determinants of health, traffic exposure, and asthma exacerbations in New York State's Medicaid Population (2005-2015).Eco-Environment & Health · 2024Article
- A global time series of traffic volumes on extra-urban roads.Scientific data · 2024Article
- Adult asthma associated with roadway density and housing in rural Appalachia: the Mountain Air Project (MAP).Environmental health : a global access science source · 2023Article
- Road traffic density and recurrent asthma emergency department visits among Medicaid enrollees in New York State 2005-2015.Environmental health : a global access science source · 2022Article
- A Bayesian spatio-temporal analysis of neighborhood pediatric asthma emergency department visit disparities.Health & place · 2020Article
- Evaluation of associations between asthma exacerbations and distance to roadways using geocoded electronic health records data.BMC public health · 2020Article
- School Environmental Intervention Programs.The journal of allergy and clinical immunology. In practiceReview
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundThe Rochester Epidemiology Project (REP) is a unique community-based medical record data linkage system that provides individual patient address, diagnosis and visit information for all hospitalizations, as well as emergency department, urgent care and outpatient clinic visits for asthma. Proximity to traffic is known to be associated with asthma exacerbations and severity. Our null hypothesis was that there is no association between residential proximity to traffic and asthma exacerbations over eleven years of REP data.
methodsSpatial coordinates of the homes of 19,915 individuals diagnosed with asthma were extracted from the REP database. Three metrics of traffic exposure at residences were calculated from link-based traffic count data. We used exploratory statistics as well as logistic and Poisson regression to examine associations between three traffic metrics at the home address and asthma exacerbations.
resultsAsthma exacerbations increased as traffic levels near the home increased. Proximity to traffic was a significant predictor of asthma exacerbations in logistic and Poisson regressions controlling for age, gender and block group poverty.
conclusionsOver eleven years in a comprehensive county-wide data set of asthma patients, and after controlling for demographic effects, we found evidence that living in proximity to traffic increased the risk of asthma exacerbations.
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Registered trials
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.