Evidence map›Paper›PMID 27149144›Full record

ArticleEnvironmental pollution (Barking, Essex : 1987)2016

Assessment of indoor and outdoor PM species at schools and residences in a high-altitude Ecuadorian urban center.

Amit U Raysoni, Rodrigo X Armijos, M Margaret Weigel, Teresa Montoya, Patricia Eschanique, Marcia Racines, Wen-Whai Li

Abstract read
In one paragraph

Article in Environmental pollution (Barking, Essex : 1987), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Exposure levels to PMEnvironmental monitoring and assessment · 2021
    Article
  7. Article
  8. Evaluation of Sources and Patterns of Elemental Composition of PMInternational journal of environmental research and public health · 2017
    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

7 authors.

Amit U RaysoniDepartment of Public Health Sciences, The University of Texas at El Paso, El Paso, TX, 79968, USA.
Rodrigo X ArmijosDepartment of Environmental Health, School of Public Health, Indiana University, Bloomington, IN 47405, USA; Proyecto Prometeo, Secretaria de Education Superior, Ciencia y Tecnologia (SENESCYT), Quito, Ecuador; Centro de Biomedicina, Universidad Central del Ecuador, Quito, Ecuador. Electronic address: rarmijos@iu.edu.
M Margaret WeigelDepartment of Environmental Health, School of Public Health, Indiana University, Bloomington, IN 47405, USA; Proyecto Prometeo, Secretaria de Education Superior, Ciencia y Tecnologia (SENESCYT), Quito, Ecuador; Centro de Biomedicina, Universidad Central del Ecuador, Quito, Ecuador.
Teresa MontoyaDepartment of Civil Engineering, The University of Texas at El Paso, El Paso, TX, 79968, USA.
Patricia EschaniqueFacultad de Medicina, Universidad Central del Ecuador, Quito, Ecuador.
Marcia RacinesFacultad de Medicina, Universidad Central del Ecuador, Quito, Ecuador.
Wen-Whai LiDepartment of Civil Engineering, The University of Texas at El Paso, El Paso, TX, 79968, USA.

Funding

Air Pollution, Systemic Inflammation, and Sub-Clinical Atherosclerosis in High-AlR21ES016637 · NIEHS · UNIVERSITY OF TEXAS EL PASO · PI ARMIJOS, RODRIGO XAVIER · 2009 to 2010
$407k
NIEHS NIH HHS R21 ES016637
6 · The paper itself

Abstract

An air monitoring campaign to assess children's environmental exposures in schools and residences, both indoors and outdoors, was conducted in 2010 in three low-income neighborhoods in Z1 (north), Z2 (central), and Z3 (southeast) zones of Quito, Ecuador - a major urban center of 2.2 million inhabitants situated 2850 m above sea level in a narrow mountainous basin. Z1 zone, located in northern Quito, historically experienced emissions from quarries and moderate traffic. Z2 zone was influenced by heavy traffic in contrast to Z3 zone which experienced low traffic densities. Weekly averages of PM samples were collected at schools (one in each zone) and residences (Z1 = 47, Z2 = 45, and Z3 = 41) every month, over a twelve-month period at the three zones. Indoor PM2.5 concentrations ranged from 10.6 ± 4.9 μg/m(3) (Z1 school) to 29.0 ± 30.5 μg/m(3) (Z1 residences) and outdoor PM2.5 concentrations varied from 10.9 ± 3.2 μg/m(3) (Z1 school) to 14.3 ± 10.1 μg/m(3) (Z2 residences), across the three zones. The lowest values for PM10-2.5 for indoor and outdoor microenvironments were recorded at Z2 school, 5.7 ± 2.8 μg/m(3) and 7.9 ± 2.2 μg/m(3), respectively. Outdoor school PM concentrations exhibited stronger associations with corresponding indoor values making them robust proxies for indoor exposures in naturally ventilated Quito public schools. Correlation analysis between the school and residential PM size fractions and the various pollutant and meteorological parameters from central ambient monitoring (CAM) sites suggested varying degrees of temporal relationship. Strong positive correlation was observed for outdoor PM2.5 at Z2 school and its corresponding CAM site (r = 0.77) suggesting common traffic related emissions. Spatial heterogeneity in PM2.5 concentrations between CAM network and sampled sites was assessed using Coefficient of Divergence (COD) analysis. COD values were lower when CAM sites were paired with outdoor measurements (<0.2) and higher when CAM and indoor values were compared (>0.2), suggesting that CAM network in Quito may not represent actual indoor exposures.

Indexed as

Residence CharacteristicsSchoolsVehicle EmissionsAdolescentAir PollutantsAir PollutionAir Pollution, IndoorAltitudeChildCitiesEcuadorEnvironmental ExposureEnvironmental MonitoringHousingHumansParticle SizeAir PollutantsParticulate MatterVehicle EmissionsAir pollutionIndoorOutdoorParticulate matterPublic schoolsQuitoResidences

Identifiers

PMID27149144
PMCPMC4893982

What OpenQuestion holds

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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.