Evidence map›Paper›PMID 32492811›Full record

ArticleInternational journal of environmental research and public health2020

Evaluating Residential Segregation's Relation to the Clustering of Poor Health across American Cities.

Joseph Gibbons, Tse-Chuan Yang, Elizabeth Brault, Michael Barton

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Participatory Approaches to Addressing Missing COVID-19 Race and Ethnicity Data.International journal of environmental research and public health · 2021
    Article
  9. Article
  10. Article
  11. Segregation and Life Satisfaction.Frontiers in psychology · 2020
    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

4 authors.

Joseph GibbonsDepartment of Sociology, San Diego State University, San Diego, CA 92182, USA.ORCID 0000-0003-2470-9068
Tse-Chuan YangDepartment of Sociology, University at Albany, SUNY, Albany, NY 12222, USA.ORCID 0000-0002-4271-4584
Elizabeth BraultDepartment of Sociology, Louisiana State University, Baton Rouge, LA 70802, USA.
Michael BartonDepartment of Sociology, Louisiana State University, Baton Rouge, LA 70802, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Residential segregation by race/ethnicity is widely recognized as a leading source of health disparities. Not clear from past research, however, is the overall health burden cities face due to clustering brought about by segregation. This study builds on previous research by directly measuring how spatially unequal health outcomes are within segregated cities. Utilizing Census-tract data from the Center for Disease Control and Prevention's 500 Cities project, we examine how different dimensions of spatial segregation are associated with the clustering of poor self-rated health in cities. We make novel usage of the Global Moran's I statistic to measure the spatial clustering of poor health within cities. We find spatial segregation is associated with poor health clustering, however the race/ethnicity and dimension of segregation matter. Our study contributes to existing research on segregation and health by unpacking the localized associations of residential segregation with poor health clustering in U.S. cities.

Indexed as

Social SegregationCitiesCluster AnalysisEthnicityFemaleHumansResidence CharacteristicsSocioeconomic FactorsUnited StatesMoran’s Ipoor health clusteringresidential segregationself-rated health

Identifiers

PMID32492811
PMCPMC7312480

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.