The use of pulmonary function test to predict occupational lung disease among workers in steel industry
Occupational lung diseases are a group of illnesses that are caused by repeated and continuous long term exposure to dusts, gases, vapors and fumes at work that can lead to respiratory system injuries.[1] Substances which are known to cause occupational lung diseases include asbestos, polycycli...
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iium-415302015-04-28T02:27:23Z http://irep.iium.edu.my/41530/ The use of pulmonary function test to predict occupational lung disease among workers in steel industry Ibrahim, Wisam Nabeel Ibrahim, Nabeel Issa, Layla QP Physiology Occupational lung diseases are a group of illnesses that are caused by repeated and continuous long term exposure to dusts, gases, vapors and fumes at work that can lead to respiratory system injuries.[1] Substances which are known to cause occupational lung diseases include asbestos, polycyclic hydrocarbons and radon in mines sulphur dioxide, chlorine, ammonia, oxides of nitrogen, mineral dust, [1]. Exposure to these irritant particles can cause several different types of lung diseases ranging from mild asymptomatic bronchial inflammation to advance stage of pulmonary fibrosis and bronchial carcinoma [2]. The range of injuries depend on size of the particles, large particles are deposited in the nose and upper air way, while small particles roughly between one and seven microns have a good chance of reaching and depositing in the alveoli [3]. 2013 Conference or Workshop Item NonPeerReviewed application/pdf en http://irep.iium.edu.my/41530/1/41530-.pdf Ibrahim, Wisam Nabeel and Ibrahim, Nabeel and Issa, Layla (2013) The use of pulmonary function test to predict occupational lung disease among workers in steel industry. In: IIUM Research, Invention and Innovation Exhibition (IRIIE) 2013, 19-20th February 2013, Cultural Activity Centre (CAC) and KAED Gallery, IIUM. (Unpublished) |
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International Islamic University Malaysia |
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IIUM Repository |
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Online Access |
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English |
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QP Physiology |
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QP Physiology Ibrahim, Wisam Nabeel Ibrahim, Nabeel Issa, Layla The use of pulmonary function test to predict occupational lung disease among workers in steel industry |
description |
Occupational lung diseases are a group of illnesses that are caused by repeated and continuous long term exposure to dusts, gases, vapors and fumes at work that can lead to respiratory system injuries.[1]
Substances which are known to cause occupational lung diseases include asbestos, polycyclic hydrocarbons and radon in mines sulphur dioxide, chlorine, ammonia, oxides of nitrogen, mineral dust, [1].
Exposure to these irritant particles can cause several different types of lung diseases ranging from mild asymptomatic bronchial inflammation to advance stage of pulmonary fibrosis and bronchial carcinoma [2].
The range of injuries depend on size of the particles, large particles are deposited in the nose and upper air way, while small particles roughly between one and seven microns have a good chance of reaching and depositing in the alveoli [3].
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format |
Conference or Workshop Item |
author |
Ibrahim, Wisam Nabeel Ibrahim, Nabeel Issa, Layla |
author_facet |
Ibrahim, Wisam Nabeel Ibrahim, Nabeel Issa, Layla |
author_sort |
Ibrahim, Wisam Nabeel |
title |
The use of pulmonary function test to predict occupational lung disease among workers in steel industry |
title_short |
The use of pulmonary function test to predict occupational lung disease among workers in steel industry |
title_full |
The use of pulmonary function test to predict occupational lung disease among workers in steel industry |
title_fullStr |
The use of pulmonary function test to predict occupational lung disease among workers in steel industry |
title_full_unstemmed |
The use of pulmonary function test to predict occupational lung disease among workers in steel industry |
title_sort |
use of pulmonary function test to predict occupational lung disease among workers in steel industry |
publishDate |
2013 |
url |
http://irep.iium.edu.my/41530/ http://irep.iium.edu.my/41530/1/41530-.pdf |
first_indexed |
2023-09-18T20:59:28Z |
last_indexed |
2023-09-18T20:59:28Z |
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1777410525801480192 |