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Development of Welding Fumes Health Index (WFHI) for Welding Workplace’s Safety and Health Assessment

BACKGROUND: This study aimed to develop an index that can rank welding workplace that associate well with possible health risk of welders. METHODS: Welding Fumes Health Index (WFHI) were developed based on data from case studies conducted in Plant 1 and Plant 2. Personal sampling of welding fumes to...

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Autores principales: HARIRI, Azian, PAIMAN, Nuur Azreen, LEMAN, Abdul Mutalib, MD. YUSOF, Mohammad Zainal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Tehran University of Medical Sciences 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4411901/
https://www.ncbi.nlm.nih.gov/pubmed/25927034
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author HARIRI, Azian
PAIMAN, Nuur Azreen
LEMAN, Abdul Mutalib
MD. YUSOF, Mohammad Zainal
author_facet HARIRI, Azian
PAIMAN, Nuur Azreen
LEMAN, Abdul Mutalib
MD. YUSOF, Mohammad Zainal
author_sort HARIRI, Azian
collection PubMed
description BACKGROUND: This study aimed to develop an index that can rank welding workplace that associate well with possible health risk of welders. METHODS: Welding Fumes Health Index (WFHI) were developed based on data from case studies conducted in Plant 1 and Plant 2. Personal sampling of welding fumes to assess the concentration of metal constituents along with series of lung function tests was conducted. Fifteen metal constituents were investigated in each case study. Index values were derived from aggregation analysis of metal constituent concentration while significant lung functions were recognized through statistical analysis in each plant. RESULTS: The results showed none of the metal constituent concentration was exceeding the permissible exposure limit (PEL) for all plants. However, statistical analysis showed significant mean differences of lung functions between welders and non-welders. The index was then applied to one of the welding industry (Plant 3) for verification purpose. The developed index showed its promising ability to rank welding workplace, according to the multiple constituent concentrations of welding fumes that associates well with lung functions of the investigated welders. CONCLUSION: There was possibility that some of the metal constituents were below the detection limit leading to ‘0’ value of sub index, thus the multiplicative form of aggregation model was not suitable for analysis. On the other hand, maximum or minimum operator forms suffer from compensation issues and were not considered in this study.
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spelling pubmed-44119012015-04-29 Development of Welding Fumes Health Index (WFHI) for Welding Workplace’s Safety and Health Assessment HARIRI, Azian PAIMAN, Nuur Azreen LEMAN, Abdul Mutalib MD. YUSOF, Mohammad Zainal Iran J Public Health Original Article BACKGROUND: This study aimed to develop an index that can rank welding workplace that associate well with possible health risk of welders. METHODS: Welding Fumes Health Index (WFHI) were developed based on data from case studies conducted in Plant 1 and Plant 2. Personal sampling of welding fumes to assess the concentration of metal constituents along with series of lung function tests was conducted. Fifteen metal constituents were investigated in each case study. Index values were derived from aggregation analysis of metal constituent concentration while significant lung functions were recognized through statistical analysis in each plant. RESULTS: The results showed none of the metal constituent concentration was exceeding the permissible exposure limit (PEL) for all plants. However, statistical analysis showed significant mean differences of lung functions between welders and non-welders. The index was then applied to one of the welding industry (Plant 3) for verification purpose. The developed index showed its promising ability to rank welding workplace, according to the multiple constituent concentrations of welding fumes that associates well with lung functions of the investigated welders. CONCLUSION: There was possibility that some of the metal constituents were below the detection limit leading to ‘0’ value of sub index, thus the multiplicative form of aggregation model was not suitable for analysis. On the other hand, maximum or minimum operator forms suffer from compensation issues and were not considered in this study. Tehran University of Medical Sciences 2014-08 /pmc/articles/PMC4411901/ /pubmed/25927034 Text en Copyright © Iranian Public Health Association & Tehran University of Medical Sciences This work is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License which allows users to read, copy, distribute and make derivative works for non-commercial purposes from the material, as long as the author of the original work is cited properly.
spellingShingle Original Article
HARIRI, Azian
PAIMAN, Nuur Azreen
LEMAN, Abdul Mutalib
MD. YUSOF, Mohammad Zainal
Development of Welding Fumes Health Index (WFHI) for Welding Workplace’s Safety and Health Assessment
title Development of Welding Fumes Health Index (WFHI) for Welding Workplace’s Safety and Health Assessment
title_full Development of Welding Fumes Health Index (WFHI) for Welding Workplace’s Safety and Health Assessment
title_fullStr Development of Welding Fumes Health Index (WFHI) for Welding Workplace’s Safety and Health Assessment
title_full_unstemmed Development of Welding Fumes Health Index (WFHI) for Welding Workplace’s Safety and Health Assessment
title_short Development of Welding Fumes Health Index (WFHI) for Welding Workplace’s Safety and Health Assessment
title_sort development of welding fumes health index (wfhi) for welding workplace’s safety and health assessment
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4411901/
https://www.ncbi.nlm.nih.gov/pubmed/25927034
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