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International Journal of Public Health and Clinical Sciences e-ISSN : 2289-7577. Vol. 2:No. 3
May/June 2015
Nurul Atikah Rohizan, Abidin E.Z. 59
IJPHCS
Open Access: e-Journal
ASSESSMENT ON PHYSICAL FACTORS OF THERMAL
COMFORT, SICK BUILDING SYNDROME SYMPTOMS AND
PERCEPTION OF COMFORT AMONG OCCUPANTS IN A
PUBLIC RESEARCH UNIVERSITY LABORATORY
BUILDING
Nurul Atikah Rohizan1, Abidin E.Z.
1*
1Department of Environmental and Occupational Health, Faculty of Medicine and Health
Sciences, Universiti Putra Malaysia
*Corresponding author: Emilia Zainal Abidin, Department of Environmental and
Occupational Health, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia,
UPM Serdang, 43400 Selangor, Malaysia; Email: [email protected]
ABSTRACT
Background: Sick Building Syndrome (SBS) is a phenomenon where people have a range of
symptoms related to a certain building conditions, most often a workplace. Physical
environmental factors is one of the contributors of SBS. This study aimed to determine the
association between SBS symptoms and perception of comfort with physical factors among
occupants in offices at a public university in Malaysia.
Materials and Methods: This was a cross-sectional study conducted among 175 occupants in
19 offices inside a laboratory complex of a university performed in 2015. SBS symptoms and
perception of comfort were assessed using a self-administered questionnaire. Measurements
of physical factors for temperature, relative humidity (RH) and air velocity were performed.
Data was analysed using a statistical software.
Result: About 90% of respondents were female and were of Malay ethnicity. The prevalence
of SBS is 9.7% while 11% of the respondents reported the perception of discomfort. The
average temperature was 25.1±0.5 ºC, while for RH the average was 69.0±1.2%. The average
air velocity was 0.2±0.03 m/s. All the averages were within the occupational limit set in
Malaysia. From the multivariate analysis, it was found that higher level of RH (Odds Ratio,
OR=4.05, 95%Confidence Interval, CI=1.27-12.9) and the female gender (OR=5.12, 95%
CI=1.5-17.3) contributed significantly to the reporting of SBS while for perception of
comfort, lower temperature (OR=10.76, 95% CI=2.17-53.5), higher level of RH (OR=15.2,
95% CI=4.28-54.1) and the female gender (OR=6.52, 95% CI=1.49-28.6) were significant
contributors.
Conclusion: This study found significant relationship between RH with SBS and perception
of comfort. There is a need to ensure proper ventilation system and its continuous
maintenance are provided by employers to ensure workers continue to be safe and healthy.
Keywords: Sick building syndrome, thermal comfort, perception, indoor air quality, offices
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1.0 Introduction
Sick building syndrome or SBS is a poorly understood phenomenon where people have a
range of symptoms related to a certain building conditions, most often a workplace, and there
is no specific identifiable cause (Wang et al., 2008). SBS symptoms may include headache,
lethargy, eye, nose and throat irritation, breathing problems and skin irritation (Sarafis et al.,
2010). Thermal comfort has been described as a state of mind on the satisfaction of indoor
thermal environment (ASHRAE, 2010). It is influenced by physical variables that affect the
heat and mass transfer in energy balance model and is often characterized using thermal
comfort scale in which its average is called predicted mean vote. Results from the evaluation
and analysis of 95 buildings have showed significant effects of temperature on the prevalence
of SBS despite the physical factors being within the comfort zone (Mendell and Mirer, 2009).
Comfort zone is defined as a range of thermal environmental conditions of which more than
80% of occupants express satisfaction (ASHRAE, 2004). Increased severity of SBS
symptoms may negatively impact the performance of work of the affected occupants
(Seppänen and Fisk, 2006).
Internationally, several standards for indoor air quality (IAQ) have been identified. The
allowable range of temperature set by the American Society of Heating, Refrigerating, and
Air-Conditioning Engineers (ASHRAE) is between 21-23°C, while for RH, the allowable
range is between 20-70% and lastly for air velocity, the permissible value established is ≤
0.25 m/s (ASHRAE, 2013). In Malaysia, indoor air quality has been given due consideration
as one of the factors contributing to the safety and health of workers. The Department of
Occupational Safety and Health (DOSH) have introduced an Industrial Code of Practice
(ICOP) for Indoor Air Quality (IAQ) in 2010 (DOSH. 2010). The allowable range of
temperature set by ICOP, DOSH is between 23-26ºC, for RH, the allowable range is between
40-70% and lastly for air velocity, the permissible value established is between 0.15-0.50 m/s.
A study in the United Kingdom among office workers found that SBS was associated with
poor supervisor support and perception of poor physical environmental conditions at work
(Marmot et al, 2006). Possible risk factors for SBS may include poor ventilation (Seppänen et
al., 2003), low humidity (Mi et al., 2006) and high temperature or changes in temperature
throughout the day (Jones, 1999). A local study in Malaysia has been performed by
comparing the physical parameters of an old and a new building (Fadilah and Juliana, 2012).
The new building which has a lower temperature comply with the guidelines published by
ICOP, DOSH and had lower prevalence of SBS among its workers compared to the old
building which had a higher temperature range and slightly exceed the requirement by ICOP,
DOSH. The SBS prevalence among its workers was higher. Another study by Zamani et al.
(2013) concluded that an increase in ventilation rate would significantly reduce the prevalence
of SBS.
The use of Mechanical Ventilation And Air-Conditioning (MVAC) system is very common in
offices in Malaysia. Due to the tropical climate, air-conditioning is essential to ensure that the
temperature continue to stabilize within the range considered as acceptable. A well-
functioning mechanical ventilation system is a must in order to maintain a good indoor air
quality (Jones, 1999). The problem with the use of MVAC system is the issue of energy
saving, where the exchange of indoor and outdoor air or ventilation are reduced to the
minimal. Indoor humidity is influenced by ventilation rates with lower ventilation increases
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indoor moisture levels (Institute of Medicine, 2004) which in turn increases the RH. As have
been reiterated earlier, higher RH has been associated with SBS, which may also be linked to
the presence of mould as mould growth is supported in environment with low temperature and
high RH (Engvall et al., 2001). As such, problem with the IAQ is common in indoor offices
serviced by MVAC system.
Unofficial complaints regarding IAQ problem among office workers prompted a further
investigation in a set of offices housed in a laboratory complex of a public research university
in Selangor. It was reported that modifications to the offices have been made to add more
space for lecturers, support staffs and research assistants in 2013. Since then, many official
complaints were received from the building occupants about their discomfort that is believed
to have been due to improper ventilation system. Most of the complaints received were about
their dissatisfaction over thermal comfort and the occurrence of visible moulds on office
furniture. As such, this study was performed to determine the association between physical
factors and the occurrence of SBS and perception of comfort over thermal condition of
offices. The result of this study can be used to provide recommendation to the management
and can be used as a guide for other researchers in Malaysia.
2.0 Materials and Methods
The cross-sectional study was conducted in the offices of a public research university building
in Selangor. Data collection was performed from 2nd
to 13th
of February, 2015. The
populations of this study were lab staffs, lecturers, and postgraduate students housed in
offices in the laboratory building of the public university.
The total number of respondents required for this study was 175. In total, 180 numbers of
respondents were invited to participate in this study. The respondents were randomly selected
from the list of staffs obtained from the Registrar Office of the public university. Accepted
criteria that enable occupants to take part in this study is that, occupant must be between the
age of 18-50 years old, has worked six month and above and spend 60% of their work time in
their office. Occupants that report respiratory illness or are pregnant were exempted from
participating in this study.
SBS, background information and perception of comfort
A self-administered questionnaire was designed to obtain all information from the
respondents regarding the occurrence of SBS symptoms. The questionnaire was modified
from the Indoor Air Quality and Work Environment Symptoms Survey, NIOSH Indoor Air
Quality Survey (1991). The questionnaires were distributed randomly to 180 occupants. The
questionnaire was also used to collect background information related to the research.
Modified questionnaires were used to obtain information from the respondents regarding their
perception over the thermal condition of their office room in the public university lab
building. The questionnaire was modified from the American Society of Heating,
Refrigerating, and Air-Conditioning Engineers (ASHRAE) Thermal Comfort Questionnaire
(2005). For the occupants’ perception towards the thermal condition of their office room, the
answers were based on 7-point thermal sensation scale by ASHRAE.
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Physical Measurement
TSI 8386 Velocicalc Plus (TSI Incorporated, Shoreview, Minnesota) is used to measure air
temperature, RH, and air velocity of the selected office rooms. In total, there was 19 rooms
selected for this study. The measurement is taken four times a day as recommended by
Malaysia Indoor Air Quality Code of Practice (IAQ, COP) (DOSH, 2010) for a total of 2
weeks (working day). The measurement of the physical factors were taken in the morning (8
am and 11 am), afternoon (2 pm), and evening (5 pm). Three readings were obtained for each
parameter in each point. Three sampling points is taken for each room.
Data Analysis
The data was entered and analyzed using IBM Statistical Package for Social Science (SPSS)
version 22.0 (Chicago). Descriptive analysis was performed to identify for the mean, x2,
minimum and maximum value of the continuous data obtained. Multiple logistic regressions
were performed to identify the factors contributing to the reporting of SBS and perception of
comfort.
3.0 Result
3.1 Socio-demographic distribution
A total of 180 questionnaires were distributed to occupants and 97% (n=175) of the
questionnaires were answered and returned.
Table 1: Result from descriptive analysis of socio-demographic characteristics of respondents
Variables N=175 Mean (standard
deviation)
Range
Gender
Male
Female
26 (14.9)
149 (85.1)
- -
Ethnicity
Malay
Chinese
Indian
157 (89.7)
13 (7.4)
5 (2.9)
- -
Age (years)
18-25
26-35
36-50
26 (52.0)
77 (26.9)
72 (21.1)
32.3 (6.9)
24-48
Type of room
Office room
Shared room
Open space with
partition
Open space without
partition
68 (38.9)
47 (26.9)
36 (20.6)
24 (13.6)
- -
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Smoking status
No
Yes
158 (90.3)
17 (9.7)
- -
History of allergy
No
Yes
164 (93.7)
11 (6.3)
- -
History of chemical
allergy
No
Yes
173 (98.9)
2 (1.1)
- -
Duration of work in a
week (hours)
- 40.2 (2.09) 30-50
Duration working in
the building (years)
- 2.5 (1.3) 0.1-7
From Table 1, there were 85.1% of female respondents compared to males (14.9 %). For
ethnicity, majority of the respondents were of Malay ethnicity, which comprised of 89.7 % of
overall respondents. The average age of the respondents in this study was 32.3±6.9 years old
and has worked for about 2.5 years in the university.
There are four types of offices found at the laboratory building of the public research
university; enclosed single room, shared room, open space with partitions, and open space
without partition. Approximately 40% of the respondents worked in their own office room,
while 27% worked in shared room. Among the respondents, approximately 10% of them were
current smokers. About 6% of the respondents reported a history of allergy with 1.1%
reported the history of chemical allergy.
3.2 Physical measurements of the offices
Table 2: Result of data analysis on physical measurements of the offices
Physical factor n=19 Percentage (%) Mean±Std.
Deviation
Range
Temperature (ºC)
Not Comply
Comply
2
17
10.5
89.5
25.1±0.5
24.3-26.4
Relative Humidity
(RH)%
Not Comply
Comply
4
15
21.0
79.0
69.0±1.2
67.7-71.3
Air Velocity (m/s)
Not Comply
Comply
1
18
5.3
94.7
0.2±0.03
0.1-0.3
Table 2 presents the physical measurements of temperature, RH and air velocity for 19
offices. The average temperature was 25.1±0.5 ºC, while the humidity ranged from minimum
of 67.7% to maximum of 71.3%. The average air velocity was 0.2±0.03 m/s. The averages
were within the stipulated averages given by the ICOP (DOSH 2010). When compared to the
ICOP, it was found that for temperature, two of the rooms had levels which were not within
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the allowable limits. On the other hand, for RH, 4 out of the 19 rooms were not within the
acceptable range. For air velocity, only 1 of the office was not within the acceptable range as
stipulated by ICOP (DOSH 2010).
3.3 SBS symptoms
Table 3: Result of the reported SBS symptoms among respondents (n=175)
SBS symptomsa No
n (%)
Yes
n (%)
Headache 138 (78.9) 37 (21.1)
Heavy head 151 (86.3) 24 (13.7)
Fatigue 158 (90.3) 17 (9.7)
Sleepy 154 (88.0) 21 (12.0)
Dizzy 173 (98.9) 2 (1.1)
Nausea/vomit 175 (100) 0 (0)
Coughing 172 (98.3) 3 (1.7)
Runny nose 167 (95.4) 8 (4.6)
Sore throat 172 (98.3) 3 (1.7)
Skin rash/Itchy 173 (98.9) 0 (0)
Eye irritation 172 (98.3) 3 (1.7)
Scaly scalp/Itchy 175 (100) 0 (0)
Calculated SBSa 158 (90.3) 17 (9.7)
a SBS is defined as ‘yes’ to two or more symptoms
Table 3 describes the reporting of SBS symptoms among the respondents. Approximately
one-fifth of the respondents reported headache as the highest SBS prevalence. The prevalence
of SBS was 9.7%.
3.3.1 Perception of comfort
Approximately 11% of respondents reported that they were uncomfortable with the thermal
condition of their office room.
3.4 Multiple logistic regressions between physical factors, SBS, and perception
Table 4: Result of multiple logistic regressions between physical factors, SBS, and perception
of comfort
Variables SBS
OR(95%Cl)
Perception of comfort
OR(95%Cl)
Temperature
Comply
Not Comply
1
0.74 (0.07-7.26)
1
10.76 (2.17-53.5)*
Relative Humidity (RH)
Comply
Not Comply
1
4.05 (1.27-12.9)*
1
15.2 (4.28-54.1)*
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Age Category (year)
18-25
26-35
36-50
0.49 (0.85-2.81)
1.25 (0.39-4.00)
1
0.62 (1.08-3.62)
1.36 (0.36-5.14)
1
Gender
Male
Female
1
5.12 (1.5 – 17.3)*
1
6.52 (1.49-28.6)*
Duration of work per week
(hour)
30 - 40
40 – 55
1
0.12 ( 0.007- 2.05)
-
-
Duration of work (year)
< 3
≥ 3
1
0.47 (0.15 – 1.49)
1
0.62 (0.17-2.33)
R2(Nagelkerke) 0.16 0.42
*Significant at p ≤ 0.05
Table 4 shows the results obtained from the multiple logistic regressions. The results from the
multiple logistic regressions shows that RH (OR=4.05, 95% CI=1.27-12.9) and the female
gender (OR=5.12, 95% CI=1.5-17.3) were significantly linked with the reporting of SBS,
while for perception, temperature (OR=10.76, 95% CI=2.17-53.5), RH (OR=15.2, 95%
CI=4.28-54.1), and the female gender (OR=6.52, 95% CI=1.49-28.6) were significant
contributors.
4.0 Discussion
From this study, the data obtained showed that approximately 10% of the respondents in the
offices of the public research university experienced SBS. Compared to other studies done in
Malaysia, the prevalence of SBS found in the present study is relatively low. Notable studies
referred to was the study by Zamani et al. (2013), in which the prevalence of SBS was 24.9%
(Zamani et al., 2013) and the study by Fadilah and Juliana (2012), in which the SBS was
33.8%. When compared to other studies globally, a study in Italy reported a prevalence of
31.9% (Magnavita, 2015) while another study in Singapore reported a prevalence of 19.4%
(Ooi et al. 1998). In the present study, respondents were considered to have SBS when two or
more questions from the NIOSH Indoor Air Quality Survey were answered in the affirmative.
Compared to other report, SBS is calculated when affirmative answers were given to five or
more questions on SBS symptoms (Magnavita, 2015). It is likely that the various definition of
SBS causes the varying distribution of SBS prevalence.
One study reported that SBS symptoms were influenced by various environmental and non-
environmental variables (Rubin, 1996). Physical factors such as temperature, RH and velocity
are not the only factors found to be linked with the occurrence of SBS. A report by Shaw
(1997) showed that irritants were linked with SBS. As such, to reduce the prevalence of SBS
symptoms among office workers, minimization of the level of indoor air pollutants is
important to effectively remove localized contamination sources through specifying the
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building materials and furnishings with low emission potentials, locating the outdoor-air
intakes away from known outdoor sources, and using special exhaust system (Shaw, 1997).
Temperature, RH, and velocity have been used traditionally to express thermal comfort
(Seppänen et al., 2003). For this study, the range of these parameters for most offices in the
laboratory complex was within the acceptable limit as stipulated by ICOP (DOSH 2010).
There were a number of offices which reported that the temperature, RH and velocity was not
within the required range but the percentages were small. For the type of offices which were
found to have temperature, RH, and velocity outside the acceptable range, further
investigations found that the likely reason was because of the issue in the MVAC system. The
MVAC system for some of the rooms did not have a proper outlet for the air-conditioning
system. These rooms have been recently modified due to the placement of additional member
of staffs. However, the modification were made without proper redesigning of the ventilation
system. Partitions were added without upgrading the ventilation system. In the end, some of
the rooms only had diffuser ducts but did not have working return ducts. Ultimately, this
causes high humidity in such rooms which is believed to have led to the problems with mould
growth.
In Malaysia, there have been such reports of public buildings which have improper MVAC
system and caused IAQ problems (Ismail et al., 2010). It is important that to ensure good
IAQ, employers needs to provide a working MVAC system to comply with the requirements
set out in ICOP. Section 15 of the Occupational Safety and Health Act 1994 has stipulated
that the responsibility of the occupational safety and health lies with the employer (OSHA,
1994). Results from the monitoring of indoor air quality based on the ICOP by DOSH can be
used as an evidence in the court of justice should the health of employees be comprised from
causes arising from the workplace in later years.
This study showed that approximately 11% of the workers reported that they perceive their
working environment as uncomfortable. In a study in China, the researcher concluded that
thermal comfort for an individual not only depends on the environment but also depends on
the individual’s feeling or physiology and psychology (Chen et al., 2005). As such, the
perception of the workers is an important factor to consider in relation to comfort.
The results from the multiple logistic regressions shows that RH (OR=4.05, 95% CI=1.27-
12.9) and the female gender (OR=5.12, 95% CI=1.5-17.3) were significantly linked with the
reporting of SBS. RH is a common indoor exposure, related to an increase of respiratory
symptoms (Pieckova and Zdenka, 1999). In other studies, SBS may be related to personal
factors, such as the female gender (Stenberg and Wall, 1995; Engvall et al., 2001). As in the
present study, it was found that the female gender was more likely to report SBS and did not
have the perception of comfort. The office workers involved in this study consisted of mostly
women. Nevertheless, the study by Stenberg and Wall (1995) found that women usually
reported work-related and environmental symptoms more often than men, which may explain
the relatively high frequencies of complaints among the respondents.
The perception of comfort was significantly contributed by temperature (OR=10.76, 95%
CI=2.17-53.5), RH (OR=15.2, 95% CI=4.28-54.1), and the female gender (OR=6.52, 95%
CI=1.49-28.6). This is in agreement with a previous study performed by Wang et al. (2008),
temperature and humidity affect thermal comfort. Other research showed evidence of an
association between gender and perception of comfort (Karjalainen, 2007). Female shows
more dissatisfaction over the thermal comfort compared to male.
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This study had a few limitations that needs to be considered. This study did not measure the
presence of mould. Increased RH has been frequently associated with the presence of mould.
A previous study has also shown that mould is strongly associated with the occurrence of SBS
(Engvall et al., 2001). Although the number of rooms with parameters that were outside the
range of acceptable RH is minimal, most of the rooms have RH levels close to the upper limit
of the allowable RH range (i.e. 70). A study has shown that mould presence is evident in
indoor spaces with RH levels between 60 to 70% (Saijo et al., 2009). Although not reported in
the results, some of the offices have clear mould problems obvious from the patches of white
spots on the ceiling or furniture. Secondly, this study did not measure all the functions in
determining thermal comfort. Thermal sensation scale, expressed by ASHRAE (2013) as the
predicted mean vote comprised of six variable to represent thermal comfort. In addition to air
temperature, air velocity and air humidity, thermal comfort analysis is inclusive of the
assessment of mean radiant temperature, clothing resistance and activity level or metabolic
rate of the respondents (Hensen, 1990). All these variables are known as Fanger’s comfort
equation and should ideally be taken into account to give a more comprehensive overview of
thermal comfort. Last but not least, the significant results for the association between
temperature and RH with the perception of comfort in the multiple logistic regression needs to
be interpreted with caution. This is due to the large 95%CI upper limit estimation which may
likely be an overestimation of the logistics analysis (James and Savitri, 2005) due to the small
prevalence of the perception of comfort.
5.0 Conclusion and recommendation
The results obtained showed that the prevalence of SBS was 9.7% while for the perception of
comfort, 10.9% of respondents reported discomfort with the thermal condition of their
working area. The results from the multiple logistic regressions shows that RH (OR=4.05,
95% CI=1.27-12.9) and the female gender (OR=5.12, 95% CI=1.5-17.3) contributed
significantly to the reporting of SBS, while for perception, temperature (OR=10.76, 95%
CI=2.17-53.5), RH (OR=15.2, 95% CI=4.28-54.1), and the female gender (OR=6.52, 95%
CI=1.49-28.6) were significant contributors.
Since this study had a high response rate, the results obtained can represent the entire
population of the laboratory staffs being studied in the public research university. This
information can be used as guidance for the management of the public research university to
undertake improvement for the offices. The improvements or control measures should be
carried out to ensure that the occupants of the building are comfortable with their working
environment and also to decrease the prevalence of SBS occurrence among occupants in lab
building of public research university.
Improvements and control measures that can be done by management include improving
ventilation system of the building. The management can ensure that the inlet and outlet
system are installed as such that it functions well in every office rooms. Besides that, monthly
maintenance should be done to make sure that the ventilation system and also the air-
conditioner are well-functioned. The control measures are important to ensure safe and
healthy work environments which are the fundamental rights of the workers.
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Acknowledgement
The authors would like to express gratitude to all the staff and the department at the public
research university which have took part in this study as well as all the respondents who
participated in this research. The ethical approval of this study was obtained from the Ethics
Committee for Research Involving Human Subject, Universiti Putra Malaysia.
Declaration
The Authors declare that there is no conflict of interest.
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