Cargando…

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

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Nyarubeli, Israel P, Tungu, Alexander M, Bråtveit, Magne, Sunde, Erlend, Kayumba, Akwilina V, Moen, Bente E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6231025/
https://www.ncbi.nlm.nih.gov/pubmed/30113644
http://dx.doi.org/10.1093/annweh/wxy071
_version_ 1783370156006703104
author Nyarubeli, Israel P
Tungu, Alexander M
Bråtveit, Magne
Sunde, Erlend
Kayumba, Akwilina V
Moen, Bente E
author_facet Nyarubeli, Israel P
Tungu, Alexander M
Bråtveit, Magne
Sunde, Erlend
Kayumba, Akwilina V
Moen, Bente E
author_sort Nyarubeli, Israel P
collection PubMed
description 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.
format Online
Article
Text
id pubmed-6231025
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-62310252018-11-15 Variability and Determinants of Occupational Noise Exposure Among Iron and Steel Factory Workers in Tanzania Nyarubeli, Israel P Tungu, Alexander M Bråtveit, Magne Sunde, Erlend Kayumba, Akwilina V Moen, Bente E Ann Work Expo Health Original Articles 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. Oxford University Press 2018-11 2018-08-03 /pmc/articles/PMC6231025/ /pubmed/30113644 http://dx.doi.org/10.1093/annweh/wxy071 Text en © The Author(s) 2018. Published by Oxford University Press on behalf of the British Occupational Hygiene Society. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Original Articles
Nyarubeli, Israel P
Tungu, Alexander M
Bråtveit, Magne
Sunde, Erlend
Kayumba, Akwilina V
Moen, Bente E
Variability and Determinants of Occupational Noise Exposure Among Iron and Steel Factory Workers in Tanzania
title Variability and Determinants of Occupational Noise Exposure Among Iron and Steel Factory Workers in Tanzania
title_full Variability and Determinants of Occupational Noise Exposure Among Iron and Steel Factory Workers in Tanzania
title_fullStr Variability and Determinants of Occupational Noise Exposure Among Iron and Steel Factory Workers in Tanzania
title_full_unstemmed Variability and Determinants of Occupational Noise Exposure Among Iron and Steel Factory Workers in Tanzania
title_short Variability and Determinants of Occupational Noise Exposure Among Iron and Steel Factory Workers in Tanzania
title_sort variability and determinants of occupational noise exposure among iron and steel factory workers in tanzania
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6231025/
https://www.ncbi.nlm.nih.gov/pubmed/30113644
http://dx.doi.org/10.1093/annweh/wxy071
work_keys_str_mv AT nyarubeliisraelp variabilityanddeterminantsofoccupationalnoiseexposureamongironandsteelfactoryworkersintanzania
AT tungualexanderm variabilityanddeterminantsofoccupationalnoiseexposureamongironandsteelfactoryworkersintanzania
AT bratveitmagne variabilityanddeterminantsofoccupationalnoiseexposureamongironandsteelfactoryworkersintanzania
AT sundeerlend variabilityanddeterminantsofoccupationalnoiseexposureamongironandsteelfactoryworkersintanzania
AT kayumbaakwilinav variabilityanddeterminantsofoccupationalnoiseexposureamongironandsteelfactoryworkersintanzania
AT moenbentee variabilityanddeterminantsofoccupationalnoiseexposureamongironandsteelfactoryworkersintanzania