Evidence map›Paper›PMID 38547303›Full record

ArticlePloS one2024

Prevalence and associated factors of occupational injuries in an industrial city in Ghana.

Michael Tetteh Asiedu, Douglas Aninng Opoku, Nana Kwame Ayisi-Boateng, Joseph Osarfo, Alhassan Sulemana, Aliyu Mohammed, John Amissah, Jennifer Ashilevi, Ayongo Mate-Kole, Felix Agyemang Opoku and 2 more

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

12 authors.

Michael Tetteh AsieduDepartment of Occupational and Environmental Health, School of Public Health, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.ORCID 0009-0002-0304-591X
Douglas Aninng OpokuDepartment of Occupational and Environmental Health, School of Public Health, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.ORCID 0000-0003-2321-387X
Nana Kwame Ayisi-BoatengDepartment of Medicine, School of Medicine and Dentistry, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Joseph OsarfoDepartment of Community Health, School of Medicine, University of Health and Allied Health Science, Ho, Ghana.ORCID 0000-0002-5366-3997
Alhassan SulemanaDepartment of Environmental Science, College of Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.ORCID 0000-0001-9679-675X
Aliyu MohammedDepartment of Epidemiology and Biostatistics, School of Public Health, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
John AmissahDepartment of Epidemiology and Biostatistics, School of Public Health, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Jennifer AshileviUniversity Hospital, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Ayongo Mate-KoleFamily Medicine Sub BMC, Korle-Bu Teaching Hospital, Accra, Ghana.
Felix Agyemang OpokuDepartment of Occupational and Environmental Health, School of Public Health, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Isaac Kofi YanksonCouncil for Scientific and Industrial Research-Building and Road Research Institute, Kumasi, Ghana.ORCID 0000-0002-8308-1859
Emmanuel Kweku NakuaDepartment of Epidemiology and Biostatistics, School of Public Health, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWorkers are exposed to workplace hazards which increase their risk of occupational injury. Data on occupational injuries and associated factors are important for planning and informing national policy regarding workplace health and safety. This study sought to estimate the prevalence and factors associated with occupational injuries among workers in an industrial city in Ghana.

methodsA community-based cross-sectional survey was conducted among 459 workers in the Tema industrial enclave in Ghana from 22nd December 2020 to 27th February 2021. Participants were recruited using a two-stage sampling technique. Eight communities were randomly selected from twenty-five communities in the first stage while households in each community were randomly selected in the second stage. Data on socio-demographic characteristics, occupational health and safety and occupational injuries were collected. Logistic regression was used to examine the relationship between occupational injuries and associated factors.

resultsThe mean age of the workers was 33.9 (±6.8) years with a range of 21-53 while over 18.1% of them were working at the Port and Harbour. The prevalence of occupational injury among the workers in the preceding twelve months was 64.7%. The mechanism of injury was mainly the use of working tools (45.8%) and hot surfaces, substances or chemicals (14.1%). Being a casual staff (AOR: 2.26, 95%CI: 1.04-4.92), working at Port and Harbour (AOR: 3.77, 95%CI: 1.70-8.39), no health and safety training (AOR: 2.18, 95%CI: 1.08-4.39), dissatisfaction with health and safety measures (AOR: 4.31, 95%CI: 2.12-8.78) and tertiary education (AOR: 0.03, 95%CI: 0.01-0.10) were significantly associated with occupational injuries.

conclusionThe prevalence of occupational injuries in this study was high. Promoting machine tools' safety, health and safety training, and satisfaction with health and safety measures through rewarding workers who do not sustain injuries could be key to employees' health and safety.

Indexed as

Occupational InjuriesAdultCross-Sectional StudiesGhanaHumansIndustryMiddle AgedPrevalenceYoung Adult

Identifiers

PMID38547303
PMCPMC10977681

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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.