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, Lee, Chia Kuang, M. K., Azhar, S., Nurulwahida
Format: Article
Language:English
Published: Elsevier Ltd 2013
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Online Access:http://umpir.ump.edu.my/id/eprint/6212/1/Indoor_Air_Quality_and_Sick_Building_Syndrome_in_Three_Selected_Buildings.pdf
http://umpir.ump.edu.my/id/eprint/6212/
http://dx.doi.org/10.1016/j.proeng.2013.02.014
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Institution: Universiti Malaysia Pahang
Language: English
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spelling my.ump.umpir.62122023-09-25T02:04:20Z http://umpir.ump.edu.my/id/eprint/6212/ Indoor Air Quality and Sick Building Syndrome in Three Selected Buildings Norhidayah, Abdull Lee, Chia Kuang 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 Lee, Chia Kuang 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. (Published) http://dx.doi.org/10.1016/j.proeng.2013.02.014 DOI: 10.1016/j.proeng.2013.02.014
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Norhidayah, Abdull
Lee, Chia Kuang
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
Lee, Chia Kuang
M. K., Azhar
S., Nurulwahida
author_facet Norhidayah, Abdull
Lee, Chia Kuang
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/6212/1/Indoor_Air_Quality_and_Sick_Building_Syndrome_in_Three_Selected_Buildings.pdf
http://umpir.ump.edu.my/id/eprint/6212/
http://dx.doi.org/10.1016/j.proeng.2013.02.014
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