Indoor Air Quality and Sick Building Syndrome in Three Selected Buildings

The respondents presenting with indoor environmentally associated symptoms such as sick building syndrome (SBS) are apt to have been exposed to inadequate indoor air quality (IAQ). The main objective of this study is to determine the association between IAQ parameters and symptoms of SBS in three se...

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Main Authors:	Norhidayah, Abdull, Kuang, Lee Chia, M. K., Azhar, S., Nurulwahida
Format:	Article
Language:	English
Published:	Elsevier Ltd 2013
Subjects:	T Technology (General)
Online Access:	http://umpir.ump.edu.my/id/eprint/6212/ http://umpir.ump.edu.my/id/eprint/6212/ http://umpir.ump.edu.my/id/eprint/6212/ http://umpir.ump.edu.my/id/eprint/6212/1/Indoor_Air_Quality_and_Sick_Building_Syndrome_in_Three_Selected_Buildings.pdf

id	ump-6212
recordtype	eprints
spelling	ump-62122018-01-31T07:05:57Z http://umpir.ump.edu.my/id/eprint/6212/ Indoor Air Quality and Sick Building Syndrome in Three Selected Buildings Norhidayah, Abdull Kuang, Lee Chia M. K., Azhar S., Nurulwahida T Technology (General) The respondents presenting with indoor environmentally associated symptoms such as sick building syndrome (SBS) are apt to have been exposed to inadequate indoor air quality (IAQ). The main objective of this study is to determine the association between IAQ parameters and symptoms of SBS in three selected buildings. The criteria of buildings selection is based on long history of occupancy and age of building. The structured questionnaire was distributed to respondents and IAQ parameters were technically measured in the selected buildings. The survey shows that the prevalence of SBS symptoms was similar in the selected buildings. Besides, no association was found between building type and SBS occurrence. IAQ parameters measurement indicated that most of the IAQ parameters were complied with the Malaysia standard of IAQ, excluded air velocity. Significant differences (p < 0.001) between the selected buildings were observed among velocity, CO2 concentration, temperature and relative humidity. However, the CO concentration (p = 0.18) and fungal counts (p = 0.83) were not significant differences between building. The findings suggested that the important predictors of sick building syndromes are ventilation and accumulation of possible contaminants within the indoor environment. Elsevier Ltd 2013 Article PeerReviewed application/pdf en cc_by_nc_nd http://umpir.ump.edu.my/id/eprint/6212/1/Indoor_Air_Quality_and_Sick_Building_Syndrome_in_Three_Selected_Buildings.pdf Norhidayah, Abdull and Kuang, Lee Chia and M. K., Azhar and S., Nurulwahida (2013) Indoor Air Quality and Sick Building Syndrome in Three Selected Buildings. Procedia Engineering, 53. pp. 93-98. ISSN 1877-7058 http://dx.doi.org/10.1016/j.proeng.2013.02.014 DOI: 10.1016/j.proeng.2013.02.014
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	T Technology (General)
spellingShingle	T Technology (General) Norhidayah, Abdull Kuang, Lee Chia M. K., Azhar S., Nurulwahida Indoor Air Quality and Sick Building Syndrome in Three Selected Buildings
description	The respondents presenting with indoor environmentally associated symptoms such as sick building syndrome (SBS) are apt to have been exposed to inadequate indoor air quality (IAQ). The main objective of this study is to determine the association between IAQ parameters and symptoms of SBS in three selected buildings. The criteria of buildings selection is based on long history of occupancy and age of building. The structured questionnaire was distributed to respondents and IAQ parameters were technically measured in the selected buildings. The survey shows that the prevalence of SBS symptoms was similar in the selected buildings. Besides, no association was found between building type and SBS occurrence. IAQ parameters measurement indicated that most of the IAQ parameters were complied with the Malaysia standard of IAQ, excluded air velocity. Significant differences (p < 0.001) between the selected buildings were observed among velocity, CO2 concentration, temperature and relative humidity. However, the CO concentration (p = 0.18) and fungal counts (p = 0.83) were not significant differences between building. The findings suggested that the important predictors of sick building syndromes are ventilation and accumulation of possible contaminants within the indoor environment.
format	Article
author	Norhidayah, Abdull Kuang, Lee Chia M. K., Azhar S., Nurulwahida
author_facet	Norhidayah, Abdull Kuang, Lee Chia M. K., Azhar S., Nurulwahida
author_sort	Norhidayah, Abdull
title	Indoor Air Quality and Sick Building Syndrome in Three Selected Buildings
title_short	Indoor Air Quality and Sick Building Syndrome in Three Selected Buildings
title_full	Indoor Air Quality and Sick Building Syndrome in Three Selected Buildings
title_fullStr	Indoor Air Quality and Sick Building Syndrome in Three Selected Buildings
title_full_unstemmed	Indoor Air Quality and Sick Building Syndrome in Three Selected Buildings
title_sort	indoor air quality and sick building syndrome in three selected buildings
publisher	Elsevier Ltd
publishDate	2013
url	http://umpir.ump.edu.my/id/eprint/6212/ http://umpir.ump.edu.my/id/eprint/6212/ http://umpir.ump.edu.my/id/eprint/6212/ http://umpir.ump.edu.my/id/eprint/6212/1/Indoor_Air_Quality_and_Sick_Building_Syndrome_in_Three_Selected_Buildings.pdf
first_indexed	2023-09-18T22:01:47Z
last_indexed	2023-09-18T22:01:47Z
_version_	1777414447220916224

Indoor Air Quality and Sick Building Syndrome in Three Selected Buildings

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