Evidence map›Paper›PMID 35886322›Full record

ArticleInternational journal of environmental research and public health2022

Occupational Exposure among Electronic Repair Workers in Ghana.

Stine Eriksen Hammer, Stephen L Dorn, Emmanuel Dartey, Balázs Berlinger, Yngvar Thomassen, Dag G Ellingsen

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. 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
0.2field-weighted citation impact, top 46% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  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

6 authors at 3 institutions in 2 countries.

Stine Eriksen HammerNational Institute of Occupational Health, Gydas vei 8, 0363 Oslo, Norway.ORCID 0000-0002-7632-9764
Stephen L DornTeam Analytics and Environment, Münster Electrochemical Energy Technology, University of Münster, Schlossplatz 3, D-48159 Münster, Germany.ORCID 0000-0002-6121-7591
Emmanuel DarteyDepartment of Chemistry Education, Akenten Appiah-Menka University of Skills Training and Entrepreneurial Development, Mampong P.O. Box 40, Ghana.
Balázs BerlingerNational Institute of Occupational Health, Gydas vei 8, 0363 Oslo, Norway.
Yngvar ThomassenNational Institute of Occupational Health, Gydas vei 8, 0363 Oslo, Norway.ORCID 0000-0001-7334-6385
Dag G EllingsenNational Institute of Occupational Health, Gydas vei 8, 0363 Oslo, Norway.
National Institute of Occupational Health · NOAkenten Appiah-Menka University of Skills Training and Entrepreneurial DevelopmentUniversity of Münster · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electronic repair workers may be exposed to lead, mercury, cadmium and other elements including rare earth elements used in electronic equipment. In this study, repair work took place in small repair shops where, e.g., televisions, radios, video players, compact discs and computers were repaired. Personal full-shift air samples of particulate matter were collected among 64 electronic repair workers in Kumasi (Ghana) and analysed for 29 elements by inductively coupled plasma mass spectrometry. Results showed that air concentrations of all elements were low. The highest air concentration was measured for iron with a geometric mean concentration and geometric standard deviation of 6.3 ± 0.001 µg/m3. The corresponding concentration of Pb and Hg were 157 ± 3 ng/m3 and 0.2 ± 2.7 ng/m3, respectively. The cerium concentration of 5 ± 2 ng/m3 was the highest among the rare earth elements. Source apportionment with ranked principal component analysis indicated that 63% of the variance could be explained by the repair and soldering of electronic components such as batteries, magnets, displays and printed circuit boards. An association between concentrations of lead in the workroom air and lead in whole blood was found (Pearson’s correlation coefficient r = 0.42, p < 0.001). There was, however, no statistically significant difference between whole blood lead concentrations in the workers and references indicating that lead did not exclusively originate from occupational exposure.

Indexed as

MercuryOccupational ExposureElectronicsEnvironmental MonitoringGhanaHumansLeadParticulate MatterLeadMercuryParticulate Matterelectronic repair workersexposure assessmentmetalsrare earth elementsremanufacturingsoldering

Identifiers

PMID35886322
PMCPMC9319286
OpenAlexW4285035733

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.