Noise induced-hearing loss compensation model for construction industry

Noise—induced hearing loss (NIHL) is considered a chronic occupational disease with widespread prevalence among construction workers. Noise exposure is the main reason for NIHL to occur. Even though a strict regulation of permissible noise level for the industries has been introduced, NIHL cases amo...

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Main Author:	Mazlan, Ain Naadia
Format:	Thesis
Language:	English
Published:	2017
Subjects:	TA Engineering (General) Civil engineering (General)
Online Access:	http://eprints.utm.my/id/eprint/79224/1/AinNaadiaMazlanPFKA2017.pdf
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id	my-utm-ep.79224
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spelling	my-utm-ep.792242018-10-14T08:39:39Z Noise induced-hearing loss compensation model for construction industry 2017 Mazlan, Ain Naadia TA Engineering (General). Civil engineering (General) Noise—induced hearing loss (NIHL) is considered a chronic occupational disease with widespread prevalence among construction workers. Noise exposure is the main reason for NIHL to occur. Even though a strict regulation of permissible noise level for the industries has been introduced, NIHL cases among workers still increase annually. Severity of NIHL is inﬂuenced by multiple factors that should be incorporated to produce an accurate and comprehensive compensation system for construction related industries. The aim of this study is to develop a NIHL compensation predicting model for the construction industry. The study started by establishing the risk factors for NIHL. Subsequently, the relationship between risk factors and hearing loss was analysed and the coefﬁcient value of the risk factors was evaluated. Finally, the NIHL compensation model was developed. NIHL risk factors data were obtained from the Malaysian Social Security Organisation (SOCSO) reports on the workers’ noise exposure, area noise, chemical and heat exposure, smoking habit, medical condition, risky hobby, and working environment site reports. Feedback from related industry and academic experts was also recorded. In addition, the Mann—Whitney U—test, correlation, and scatterplot study were executed to identify the association between risk factors and NIHL value. Three NIHL compensation models namely Models 1, 2, and 3 were developed using linear multiple regression methods based on the significant NIHL risk factors such as daily noise exposure, area noise, smoking habit, cardiovascular disease, and age. The best model was chosen by comparing the Mean Absolute Percentage Error (MAPE) value of each model with an actual compensation value from SOCSO. Model 1 which consisted of daily noise exposure and the smoking habit was selected as the best model with the lowest MAPE value of 14.33 compared to Models 2 and 3 with MAPE values of 84.72 and 50.14, respectively. In conclusion, the study successfully proved the importance of the relationship between hearing impairment and NIHL risk factors by developing the three compensation NIHL models that can be utilised for monetary indemnity scheme in Malaysia. 2017 Thesis http://eprints.utm.my/id/eprint/79224/ http://eprints.utm.my/id/eprint/79224/1/AinNaadiaMazlanPFKA2017.pdf application/pdf en public phd doctoral Universiti Teknologi Malaysia, Faculty of Civil Engineering Faculty of Civil Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TA Engineering (General) Civil engineering (General)
spellingShingle	TA Engineering (General) Civil engineering (General) Mazlan, Ain Naadia Noise induced-hearing loss compensation model for construction industry
description	Noise—induced hearing loss (NIHL) is considered a chronic occupational disease with widespread prevalence among construction workers. Noise exposure is the main reason for NIHL to occur. Even though a strict regulation of permissible noise level for the industries has been introduced, NIHL cases among workers still increase annually. Severity of NIHL is inﬂuenced by multiple factors that should be incorporated to produce an accurate and comprehensive compensation system for construction related industries. The aim of this study is to develop a NIHL compensation predicting model for the construction industry. The study started by establishing the risk factors for NIHL. Subsequently, the relationship between risk factors and hearing loss was analysed and the coefﬁcient value of the risk factors was evaluated. Finally, the NIHL compensation model was developed. NIHL risk factors data were obtained from the Malaysian Social Security Organisation (SOCSO) reports on the workers’ noise exposure, area noise, chemical and heat exposure, smoking habit, medical condition, risky hobby, and working environment site reports. Feedback from related industry and academic experts was also recorded. In addition, the Mann—Whitney U—test, correlation, and scatterplot study were executed to identify the association between risk factors and NIHL value. Three NIHL compensation models namely Models 1, 2, and 3 were developed using linear multiple regression methods based on the significant NIHL risk factors such as daily noise exposure, area noise, smoking habit, cardiovascular disease, and age. The best model was chosen by comparing the Mean Absolute Percentage Error (MAPE) value of each model with an actual compensation value from SOCSO. Model 1 which consisted of daily noise exposure and the smoking habit was selected as the best model with the lowest MAPE value of 14.33 compared to Models 2 and 3 with MAPE values of 84.72 and 50.14, respectively. In conclusion, the study successfully proved the importance of the relationship between hearing impairment and NIHL risk factors by developing the three compensation NIHL models that can be utilised for monetary indemnity scheme in Malaysia.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Mazlan, Ain Naadia
author_facet	Mazlan, Ain Naadia
author_sort	Mazlan, Ain Naadia
title	Noise induced-hearing loss compensation model for construction industry
title_short	Noise induced-hearing loss compensation model for construction industry
title_full	Noise induced-hearing loss compensation model for construction industry
title_fullStr	Noise induced-hearing loss compensation model for construction industry
title_full_unstemmed	Noise induced-hearing loss compensation model for construction industry
title_sort	noise induced-hearing loss compensation model for construction industry
granting_institution	Universiti Teknologi Malaysia, Faculty of Civil Engineering
granting_department	Faculty of Civil Engineering
publishDate	2017
url	http://eprints.utm.my/id/eprint/79224/1/AinNaadiaMazlanPFKA2017.pdf
_version_	1747818176382500864

Noise induced-hearing loss compensation model for construction industry

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