Evidence Hub

Assessing Indoor Air Quality and Sick Building Syndrome in Public University Buildings: A Cross-Sectional Study of Office Worker Health and Well-Being

Mohd Fairus Awang, Roslena Md Zaini, Nasrul Amir Abdul, Mohd Rohaizat Mat Tahir, Aida Baharuddin, S. Husin, Nooraini Ahmad, Nik Lukman Nik Ibrahim et al.

Jurnal Kejuruteraan, 2023

3 citations

Abstract

Exposure to indoor air pollution among office workers can result in various health issues and increase the incidence of Sick Building Syndrome (SBS). The aim of the present study was to investigate the effect of exposure to Indoor Air Quality (IAQ) among office workers and the relationship with the prevalence of SBS at Universiti Kebangsaan Malaysia (UKM), Bangi. A cross-sectional comparison research involving 144 office workers from various new and old buildings was carried out at UKM, Bangi. Information was gathered and symptoms associated with SBS were determined using a series of questionnaires. During office hours, IAQ parameters were collected using air quality sensor. The old building had substantially higher levels of NO2 (24.26 ppb), CO (0.62 ppb), and PM10 (4.99 µg/m3) than the new building. It was found that, with a p < 0.001, the concentration of O3 in the new building (11.47 ppb) was significantly higher than in the old building (4.93 ppb). The study’s findings also showed that the difference in temperature between the old buildings (26°C) and new buildings (24°C) was statistically significant (p = 0.003). Referring to relative humidity (RH), the result of the old building is lower (56%) compared to the new building (62%). Although old buildings exhibited a higher prevalence of SBS (34.7%), it was found that there was no significant difference compared to new buildings (27.5%). According to the study’s findings, found that exposure to CO (χ2 = 5.242, p = 0.022),…

How strong is the evidence?

Evidence Hub reads this as a cross-sectional. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause.

How the five levels of evidence work. The level is assigned automatically from the abstract and can be wrong, so check the paper.

Read the paper

Related studies

Go deeper in Evidence Hub

Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.

Open this study Sign up free