Evidence map›Paper›PMID 30478764›Full record

ArticleJournal of urban health : bulletin of the New York Academy of Medicine2019

Demographic Inequities in Health Outcomes and Air Pollution Exposure in the Atlanta Area and its Relationship to Urban Infrastructure.

Joseph L Servadio, Abiola S Lawal, Tate Davis, Josephine Bates, Armistead G Russell, Anu Ramaswami, Matteo Convertino, Nisha Botchwey

Abstract read
In one paragraph

Article in Journal of urban health : bulletin of the New York Academy of Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Impacts of Urban Green on Cardiovascular and Cerebrovascular Diseases-A Systematic Review and Meta-Analysis.International journal of environmental research and public health · 2023
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Exposure to PMEnvironmental geochemistry and health · 2024
    Article
  7. Article
  8. Article
  9. Greenness exposure: beneficial but multidimensional.Breathe (Sheffield, England) · 2023
    Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. 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

8 authors.

Joseph L ServadioDivision of Environmental Health Sciences, University of Minnesota School of Public Health, Minneapolis, MN, USA.
Abiola S LawalSchools of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Tate DavisSchool of City and Regional Planning, Georgia Institute of Technology, Atlanta, GA, USA.
Josephine BatesSchools of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Armistead G RussellGeorgia Institute of Technology College of Design, Atlanta, GA, USA.
Anu RamaswamiHumphrey School of Public Affairs, University of Minnesota, Minneapolis, MN, USA.
Matteo ConvertinoGraduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan.
Nisha BotchweySchool of City and Regional Planning, Georgia Institute of Technology, Atlanta, GA, USA. nisha.botchwey@design.gatech.edu.ORCID 0000-0003-1298-5065

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Environmental burdens such as air pollution are inequitably distributed with groups of lower socioeconomic statuses, which tend to comprise of large proportions of racial minorities, typically bearing greater exposure. Such groups have also been shown to present more severe health outcomes which can be related to adverse pollution exposure. Air pollution exposure, especially in urban areas, is usually impacted by the built environment, such as major roadways, which can be a significant source of air pollution. This study aims to examine inequities in prevalence of cardiovascular and respiratory diseases in the Atlanta metropolitan region as they relate to exposure to air pollution and characteristics of the built environment. Census tract level data were obtained from multiple sources to model health outcomes (asthma, chronic obstructive pulmonary disease, coronary heart disease, and stroke), pollution exposure (particulate matter and nitrogen oxides), demographics (ethnicity and proportion of elderly residents), and infrastructure characteristics (tree canopy cover, access to green space, and road intersection density). Conditional autoregressive models were fit to the data to account for spatial autocorrelation among census tracts. The statistical model showed areas with majority African-American populations had significantly higher exposure to both air pollutants and higher prevalence of each disease. When considering univariate associations between pollution and health outcomes, the only significant association existed between nitrogen oxides and COPD being negatively correlated. Greater percent tree canopy cover and green space access were associated with higher prevalence of COPD, CHD, and stroke. Overall, in considering health outcomes in connection with pollution exposure infrastructure and ethnic demographics, demographics remained the most significant explanatory variable.

Indexed as

Environment DesignAgedAged, 80 and overAir PollutantsAir PollutionBlack or African AmericanCitiesEnvironmental ExposureFemaleGeorgiaHumansMaleOutcome Assessment, Health CareParticulate MatterSocioeconomic FactorsAir PollutantsParticulate MatterAir pollutionCardiovascular diseaseInequityInfrastructureRacial disparityRespiratory disease

Identifiers

PMID30478764
PMCPMC6458195

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.