Evidence map›Paper›PMID 25160763›Full record

ArticleJournal of exposure science & environmental epidemiology

Personal particulate matter exposures and locations of students in four neighborhoods in Accra, Ghana.

Raphael E Arku, Kathie L Dionisio, Allison F Hughes, Jose Vallarino, John D Spengler, Marcia C Castro, Samuel Agyei-Mensah, Majid Ezzati

Abstract read
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In one paragraph

Article in Journal of exposure science & environmental epidemiology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Exposure of children to multiple long-term air pollutants (PMEnvironmental research letters : ERL [Web site] · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Characterising sources of PMThe Lancet. Child & adolescent health · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Spatial-temporal patterns of ambient fine particulate matter (PMEnvironmental research letters : ERL [Web site] · 2021
    Article
  13. Determinants of personal exposure to PMEnvironment international · 2021
    Article
  14. Article
  15. Article
  16. 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

8 authors.

Raphael E ArkuDepartment of Environmental Health, Harvard School of Public Health, Boston, Massachusetts, USA.
Kathie L DionisioDepartment of Environmental Health, Harvard School of Public Health, Boston, Massachusetts, USA.
Allison F HughesDepartment of Physics, University of Ghana, Legon, Ghana.
Jose VallarinoDepartment of Environmental Health, Harvard School of Public Health, Boston, Massachusetts, USA.
John D SpenglerDepartment of Environmental Health, Harvard School of Public Health, Boston, Massachusetts, USA.
Marcia C CastroDepartment of Global Health and Population, Harvard School of Public Health, Boston, Massachusetts, USA.
Samuel Agyei-MensahDepartment of Geography and Resource Development, University of Ghana, Legon, Ghana.
Majid EzzatiMRC-PHE Center for Environment and Health, Imperial College London, London, UK.

Funding

Medical Research Council G0801056Medical Research Council MR/K005901/1Wellcome Trust 100693
6 · The paper itself

Abstract

Air pollution exposure and places where the exposures occur may differ in cities in the developing world compared with high-income countries. Our aim was to measure personal fine particulate matter (PM2.5) exposure of students in neighborhoods of varying socioeconomic status in Accra, Ghana, and to quantify the main predictors of exposure. We measured 24-hour PM2.5 exposure of 56 students from eight schools in four neighborhoods. PM2.5 was measured both gravimetrically and continuously, with time-matched global positioning system coordinates. We collected data on determinants of exposure, such as distances of homes and schools from main roads and fuel used for cooking at their home or in the area of residence/school. The association of PM2.5 exposure with sources was estimated using linear mixed-effects models. Personal PM2.5 exposures ranged from less than 10 μg/m(3) to more than 150 μg/m(3) (mean 56 μg/m(3)). Girls had higher exposure than boys (67 vs 44 μg/m(3); P-value=0.001). Exposure was inversely associated with distance of home or school to main roads, but the associations were not statistically significant in the multivariate model. Use of biomass fuels in the area where the school was located was also associated with higher exposure, as was household's own biomass use. Paved schoolyard surface was associated with lower exposure. School locations in relation to major roads, materials of school ground surfaces, and biomass use in the area around schools may be important determinants of air pollution exposure.

Indexed as

AdolescentAir PollutantsChildEnvironmental ExposureEnvironmental MonitoringFemaleGeographic Information SystemsGhanaHumansMaleParticulate MatterResidence CharacteristicsSchoolsStudentsAir PollutantsParticulate Matter

Identifiers

PMID25160763

What OpenQuestion holds

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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.