This method was able to separate buildings with high and low prevalence of SBS in two different classes using principal component analysis (PCA). Data from the Northern 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. The most complex model was able to separate 71% of the high prevalence buildings from the low prevalence buildings. The most important variables that separate the high prevalence buildings from the low prevalence buildings was a more frequent occurrence of a higher concentration of terpenoid compounds and ketones in the high prevalence buildings. Relative air humidity in supply and room air, and TVOC in outdoor and supply air and 10 building variables also contributed to the separation of low and high prevalence buildings.
|Title of host publication||Proceedings of Indoor Air 2002|
|Publication status||Published - 2002|
|Event||9th International Conference on Indoor Air Quality and Climate - Monterey, CA, United States|
Duration: 30 Jun 2002 → 5 Jul 2002
Conference number: 9
|Conference||9th International Conference on Indoor Air Quality and Climate|
|Period||30/06/2002 → 05/07/2002|