Evidence map›Paper›PMID 29310629›Full record

ArticleBMC public health2018

The Canadian Urban Environmental Health Research Consortium - a protocol for building a national environmental exposure data platform for integrated analyses of urban form and health.

Jeffrey R Brook, Eleanor M Setton, Evan Seed, Mahdi Shooshtari, Dany Doiron, CANUE – The Canadian Urban Environmental Health Research Consortium

Abstract read
In one paragraph

Article in BMC public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing 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

53 citing papers in PubMed.

  1. Trial
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  15. From Fetus to Eight: the CHILD Cohort Study.American journal of epidemiology · 2024
    Article
  16. A cohort study of the multipollutant effects of PMEnvironmental epidemiology (Philadelphia, Pa.) · 2024
    Article
  17. Article
  18. Advancing Population Health Through Open Environmental Data Platforms.Current topics in behavioral neurosciences · 2024
    Review
  19. Article
  20. Association between First Trimester Exposure to AmbientEnvironmental health perspectives · 2023
    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

6 authors.

Jeffrey R BrookProcesses Research Section, Air Quality Research Division, Environment and Climate Change Canada, Toronto, ON, Canada. Jeff.Brook@canue.ca.
Eleanor M SettonGeography Department, University of Victoria, Victoria, Canada.
Evan SeedDalla Lana School of Public Health, University of Toronto, Toronto, Canada.
Mahdi ShooshtariGeography Department, University of Victoria, Victoria, Canada.
Dany DoironResearch Institute of McGill University Health Centre, Montreal, Canada.
CANUE – The Canadian Urban Environmental Health Research Consortium

Funding

CIHR 147101
6 · The paper itself

Abstract

backgroundMultiple external environmental exposures related to residential location and urban form including, air pollutants, noise, greenness, and walkability have been linked to health impacts or benefits. The Canadian Urban Environmental Health Research Consortium (CANUE) was established to facilitate the linkage of extensive geospatial exposure data to existing Canadian cohorts and administrative health data holdings. We hypothesize that this linkage will enable investigators to test a variety of their own hypotheses related to the interdependent associations of built environment features with diverse health outcomes encompassed by the cohorts and administrative data.

methodsWe developed a protocol for compiling measures of built environment features that quantify exposure; vary spatially on the urban and suburban scale; and can be modified through changes in policy or individual behaviour to benefit health. These measures fall into six domains: air quality, noise, greenness, weather/climate, and transportation and neighbourhood factors; and will be indexed to six-digit postal codes to facilitate merging with health databases. Initial efforts focus on existing data and include estimates of air pollutants, greenness, temperature extremes, and neighbourhood walkability and socioeconomic characteristics. Key gaps will be addressed for noise exposure, with a new national model being developed, and for transportation-related exposures, with detailed estimates of truck volumes and diesel emissions now underway in selected cities. Improvements to existing exposure estimates are planned, primarily by increasing temporal and/or spatial resolution given new satellite-based sensors and more detailed national air quality modelling. Novel metrics are also planned for walkability and food environments, green space access and function and life-long climate-related exposures based on local climate zones. Critical challenges exist, for example, the quantity and quality of input data to many of the models and metrics has changed over time, making it difficult to develop and validate historical exposures. DISCUSSION: CANUE represents a unique effort to coordinate and leverage substantial research investments and will enable a more focused effort on filling gaps in exposure information, improving the range of exposures quantified, their precision and mechanistic relevance to health. Epidemiological studies may be better able to explore the common theme of urban form and health in an integrated manner, ultimately contributing new knowledge informing policies that enhance healthy urban living.

Indexed as

Biomedical ResearchEnvironmental HealthUrban HealthAir PollutionCanadaCohort StudiesEnvironmental ExposureEnvironment DesignHumansInformation Storage and RetrievalNoiseAir pollutionClimateExposureGreen spaceNoise pollutionPublic healthTransportationUrban form

Identifiers

PMID29310629
PMCPMC5759244

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LicenceCC BY
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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.