Evidence map›Paper›PMID 30934853›Full record

ArticleInternational journal of environmental research and public health2019

Social and Environmental Neighborhood Typologies and Lung Function in a Low-Income, Urban Population.

Jamie L Humphrey, Megan Lindstrom, Kelsey E Barton, Prateek Man Shrestha, Elizabeth J Carlton, John L Adgate, Shelly L Miller, Elisabeth Dowling Root

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.9field-weighted citation impact, top 29% of its field
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

14 citing papers in PubMed, 18 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Jamie L HumphreyDepartment of Mechanical Engineering, University of Colorado Boulder, 427 UCB, Boulder, CO 80309 USA. JLH563@Drexel.Edu.
Megan LindstromDepartment of Geography and Division of Epidemiology, The Ohio State University, 1036 Derby Hall, 154 North Oval Mall, Columbus, OH 43210, USA. Lindstrom.42@osu.edu.
Kelsey E BartonDepartment of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado, Anschutz Medical Campus, 13001 E 17th Place, Campus Box B119, Aurora, CO 80045, USA. kelsey.barton@ucdenver.edu.
Prateek Man ShresthaDepartment of Mechanical Engineering, University of Colorado Boulder, 427 UCB, Boulder, CO 80309 USA. prateek.shrestha@colorado.edu.
Elizabeth J CarltonDepartment of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado, Anschutz Medical Campus, 13001 E 17th Place, Campus Box B119, Aurora, CO 80045, USA. elizabeth.carlton@ucdenver.edu.
John L AdgateDepartment of Environmental and Occupational Health, Colorado School of Public Health, University of Colorado, Anschutz Medical Campus, 13001 E 17th Place, Campus Box B119, Aurora, CO 80045, USA. john.adgate@ucdenver.edu.
Shelly L MillerDepartment of Mechanical Engineering, University of Colorado Boulder, 427 UCB, Boulder, CO 80309 USA. shelly.miller@colorado.edu.ORCID 0000-0002-1967-7551
Elisabeth Dowling RootDepartment of Geography and Division of Epidemiology, The Ohio State University, 1036 Derby Hall, 154 North Oval Mall, Columbus, OH 43210, USA. Root.145@OSU.edu.ORCID 0000-0002-9566-4031
Colorado School of Public Health · USUniversity of Colorado Boulder · USThe Ohio State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Consensus is growing on the need to investigate the joint impact of neighborhood-level social factors and environmental hazards on respiratory health. This study used latent profile analysis (LPA) to empirically identify distinct neighborhood subtypes according to a clustering of social factors and environmental hazards, and to examine whether those subtypes are associated with lung function. The study included 182 low-income participants who were enrolled in the Colorado Home Energy Efficiency and Respiratory Health (CHEER) study during the years 2015⁻2017. Distinct neighborhood typologies were identified based on analyses of 632 census tracts in the Denver-Metro and Front Range area of Colorado; neighborhood characteristics used to identify typologies included green space, traffic-related air pollution, violent and property crime, racial/ethnic composition, and socioeconomic status (SES). Generalized estimating equations were used to examine the association between neighborhood typology and lung function. We found four distinct neighborhood typologies and provide evidence that these social and environmental aspects of neighborhoods cluster along lines of advantage/disadvantage. We provide suggestive evidence of a double jeopardy situation where low-income populations living in disadvantaged neighborhoods may have decreased lung function. Using LPA with social and environmental characteristics may help to identify meaningful neighborhood subtypes and inform research on the mechanisms by which neighborhoods influence health.

Indexed as

Residence CharacteristicsAir PollutionColoradoCrimeEthnicityHumansLungPovertyRacial GroupsRespiratory Function TestsUrban Populationlatent profile analysisneighborhoods and healthsocial and environmental determinants of health

Identifiers

PMID30934853
PMCPMC6479348
OpenAlexW2931569789

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.