Evidence map›Paper›PMID 31323934›Full record

ArticleInternational journal of environmental research and public health2019

Assessment of Traffic-Related Air Pollution: Case Study of Pregnant Women in South Texas.

Mohammad Hashem Askariyeh, Suriya Vallamsundar, Josias Zietsman, Tara Ramani

Abstract 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Near-Road Traffic-Related Air Pollution: Resuspended PMInternational journal of environmental research and public health · 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.

Mohammad Hashem AskariyehEnvironment and Air Quality Division, Texas A&M Transportation Institute, 1111 RELLIS Parkway, Suite 3401, Bryan, TX 77807, USA.ORCID 0000-0001-5376-8978
Suriya VallamsundarCenter for Advancing Research in Transportation Emissions, Energy and Health, Texas A&M Transportation Institute, 12700 Park Central Dr, Suite 1000, Dallas TX 75251, USA. s-vallamsundar@tti.tamu.edu.ORCID 0000-0003-2136-5407
Josias ZietsmanCenter for Advancing Research in Transportation Emissions, Energy and Health, Texas A&M Transportation Institute, 1111 RELLIS Parkway, Suite 3401, Bryan, TX 77807, USA.
Tara RamaniCenter for Advancing Research in Transportation Emissions, Energy and Health, Texas A&M Transportation Institute, 1111 RELLIS Parkway, Suite 3401, Bryan, TX 77807, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Population groups vulnerable to adverse effects of traffic-related air pollution correspond to children, pregnant women and elderly. Despite these effects, literature is limited in terms of studies focusing on these groups and a reason often cited is the limited information on their mobility important for exposure assessment. The current study presents a method for assessing individual-level exposure to traffic-related air pollution by integrating mobility patterns tracked by global positioning system (GPS) devices with dynamics of air pollutant concentrations. The study is based on a pool of 17 pregnant women residing in Hidalgo County, Texas. The traffic-related particulate matter with diameter of less than 2.5 micrometer (PM

Indexed as

Pregnant PeopleAdultEnvironmental ExposureEnvironmental MonitoringFemaleHumansParticulate MatterPregnancyPregnancy ComplicationsTexasVehicle EmissionsParticulate MatterVehicle Emissionsair pollutiondispersion methoddynamic exposureGPSparticulate matter PM2.5pregnant womenvehicle emissions

Identifiers

PMID31323934
PMCPMC6651470

What OpenQuestion holds

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LicenceCC BY
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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.