Evidence map›Paper›PMID 30113644›Full record

ArticleAnnals of work exposures and health2018

Variability and Determinants of Occupational Noise Exposure Among Iron and Steel Factory Workers in Tanzania.

Israel P Nyarubeli, Alexander M Tungu, Magne Bråtveit, Erlend Sunde, Akwilina V Kayumba, Bente E Moen

Open access · bronzeAbstract read
In one paragraph

Article in Annals of work exposures and health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

7 citing papers in PubMed, 30 citations in OpenAlex.

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  6. Prevalence of Noise-Induced Hearing Loss Among Tanzanian Iron and Steel Workers: A Cross-Sectional Study.International journal of environmental research and public health · 2019
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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

6 authors at 3 institutions in 3 countries.

Israel P NyarubeliDepartment of Global Public Health and Primary Care, Centre for International Health, University of Bergen, Bergen, Norway.
Alexander M TunguDepartment of Environmental and Occupational Health, Muhimbili University of Health and Allied Sciences, Dar es salaam, Tanzania.
Magne BråtveitDepartment of Global Public Health and Primary Care, Centre for International Health, University of Bergen, Bergen, Norway.
Erlend SundeDepartment of Global Public Health and Primary Care, Centre for International Health, University of Bergen, Bergen, Norway.
Akwilina V KayumbaOccupational Safety and Health Authority (OSHA), Dar es Salaam, Tanzania.
Bente E MoenDepartment of Global Public Health and Primary Care, Centre for International Health, University of Bergen, Bergen, Norway.
University of Bergen · NOMuhimbili University of Health and Allied Sciences · TZOccupational Safety & Health Administration · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Machines, processes, and tasks in the iron and steel factories may produce noise levels that are harmful to hearing if not properly controlled. Studies documenting noise exposure levels and related determinants in sub-Saharan Africa, including Tanzania are lacking. The aim of this study was to document noise exposure and to identify determinants of noise exposure with a view to establishing an effective hearing conservation programme. Methods: A walk-through survey was conducted to describe the working environment in terms of noise sources in four metal factories (A-D) in Tanzania. Noise measurements were conducted by both personal, full-shift noise measurements (8 h) using dosimeters and area measurements (10-s measurements) using a sound level meter. A total of 163 participants had repeated personal noise measurements (Factory A: 46 participants, B: 43, C: 34, and D: 40). Workers were randomly selected and categorized into 13 exposure groups according to their job. Linear mixed effects models were used to identify significant determinants of noise exposure in the furnace section and the rolling mill section. Results: The average personal noise exposure in the four factories was 92.0 dB(A) (range of job group means; 85.4-96.2 dB(A)) (n = 326). Personal exposure was significantly higher in the rolling mill section (93.0 dB(A)) than in the furnace section (89.6 dB(A)). Among the job groups, the cutters located in the rolling mill section had the highest noise exposure (96.2 dB(A)). In the furnace section, furnace installation (below the ground floor), manual handling of raw materials/billets/crowbars, and billet weighing/transfer were significant determinants explaining 40% of the total variance in personal noise exposure. In the rolling mill section, the size of the cutting machine, steel billet weight and feeding re-heating furnace explained 46% of the total variance in personal noise exposure. The mean noise level of the area measurements was 90.5 dB(A) (n = 376). Conclusion: Workers in the four iron and steel factories in Tanzania were exposed to average noise of 92.0 dB(A), without using hearing protection, implying a high risk of developing hearing loss. Task and factory level determinants were identified in the furnace and the rolling mill sections of the plant, which can inform noise control in factories with similar characteristics.

Indexed as

Manufacturing IndustryAdultHumansIronLinear ModelsNoise, OccupationalOccupational ExposureSteelTanzaniaWorkplaceIronSteel

Identifiers

PMID30113644
PMCPMC6231025
OpenAlexW2886671646

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.