Class separation of buildings with high and low prevalence of SBS by principal component analysis
2004 (English)In: Indoor Air, ISSN 0905-6947, E-ISSN 1600-0668, Vol. 14, no 1, 16-23 p.Article in journal (Refereed) Published
In this study, we were able to separate buildings with high and low prevalence of sick building syndrome (SBS) using principal component analysis. The prevalence of SBS was defined by the presence of at least one typical skin, mucosal and general (headache and fatigue) symptom. Data from the Swedish Office Illness Study describing the presence and level of chemical compounds in outdoor, supply, and room air, respectively, were evaluated together with information about the buildings in six models. When all data were included the most complex model was able to separate 71% of the high prevalence buildings from the low prevalence buildings. The most important variable that separates the high prevalence buildings from the low prevalence buildings was a more frequent occurrence or a higher concentration of compounds with shorter retention time in the high prevalence buildings. Elevated relative humidity in supply and room air and higher levels of total volatile organic compounds in outdoor and supply air were more common in high prevalence buildings. Ten building variables also contributed to the separation of the two classes of low and high prevalence buildings.
Place, publisher, year, edition, pages
John Wiley & Sons, 2004. Vol. 14, no 1, 16-23 p.
Principal component analysis, VOC, Sick building syndrome, Indoor air, Ventilation duct, Office building
IdentifiersURN: urn:nbn:se:umu:diva-14022DOI: 10.1111/j.1600-0668.2004.00203.xOAI: oai:DiVA.org:umu-14022DiVA: diva2:153693
Errata Indoor Air 14 (2), 144–144. doi:10.1111/j.1600-0668.2004.00246.x2007-06-182007-06-182012-06-29Bibliographically approved