Evidence map›Paper›PMID 31629605›Full record

ArticleAnnals of epidemiology2019

Exposures at day labor corners: using existing georeferenced data to describe features of urban environments.

Maria Eugenia Fernández-Esquer, Amy E Hughes, Sandi L Pruitt

Abstract read
In one paragraph

Article in Annals of epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Maria Eugenia Fernández-EsquerDepartment of Health Promotion & Behavioral Sciences, University of Texas School of Public Health, Houston, TX.
Amy E HughesDepartment of Population and Data Sciences, The University of Texas Southwestern Medical Center, Dallas, TX; Harold C. Simmons Comprehensive Cancer Center, Dallas, TX. Electronic address: amye.hughes@utsouthwestern.edu.
Sandi L PruittDepartment of Population and Data Sciences, The University of Texas Southwestern Medical Center, Dallas, TX; Harold C. Simmons Comprehensive Cancer Center, Dallas, TX.

Funding

BEHAVIORAL SCIENCE EDUCATION--CANCER PREVENTION/CONTROLR25CA057712 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MULLEN, PATRICIA DOLAN · 1992 to 2017
$8.6M
Cancer Prevention and Control Research Training and Career Development ProgramT32CA057712 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI Bijal A. Balasubramanian, Maria Eulalia Fernandez · 2018 to 2026
$3.2M
Prevention Program to Reduce Injury Disparities Among Latino Day LaborersR24MD007975 · NIMHD · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI DIAMOND, PAMELA M, FERNANDEZ-ESQUER, MARIA EUGENIA · 2013 to 2015
$1.1M
NCI NIH HHS R25 CA057712NCI NIH HHS T32 CA057712NIMHD NIH HHS R24 MD007975
6 · The paper itself

Abstract

purposeLatino day laborers are male immigrants from mainly Mexico and Central America who congregate at corners, that is, informal hiring sites, to solicit short-term employment. Studies describing the occupational environment of Latino day laborers traditionally measure jobsite exposures, not corner exposures. We sought to elucidate exposures at corners by describing their demographic, socioeconomic, occupational, business, built, and physical environmental characteristics and by comparing corner characteristics with other locations in a large urban county in Texas.

methodsWe used multiple publicly available data sets from the U.S. Census, local tax authority, Google's Nearby Places Application Programming Interface, and Environmental Protection Agency at fine spatial scale to measure 34 characteristics of corners with matched comparison locations.

resultsCorners were located close to highways, high-traffic intersections, hardware and moving stores, and gas stations. Corners were in neighborhoods with large foreign-born and Latino populations, high rates of limited English proficiency, and high construction-sector employment.

conclusionsPublicly available data sources describe demographic, socioeconomic, occupational, business, built, and physical environment characteristics of urban environments at fine spatial scale. Using these data, we identified unique corner-based exposures experienced by day laborers. Future research is needed to understand how corner environments may influence health for this uniquely vulnerable population.

Indexed as

Environmental ExposureOccupational ExposureCentral AmericaEmigrants and ImmigrantsEmploymentHispanic or LatinoHumansMexicoOccupational HealthTexasDay laborersLatino healthNeighborhood exposuresOccupational exposuresUrban context

Identifiers

PMID31629605
PMCPMC6888997

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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.