For all statistical analyses, the following approaches were used:
i) univariate regression analyses, where each explanatory variable
was included individually in the model; and ii) a multiple regression
approach, including all explanatory variables with mutual
adjustment. The influence of the explanatory variables on microbial
exposure were expressed as a percentage change in concentrations
of fungi, bacteria, endotoxin and TIP according to each given
increment in the linear determinant variable or class variable.
Analysed data for fungi, bacteria and endotoxin was not normally
distributed. However, the data was normally distributed after natural
logarithmic transformation and the logarithmically transformed
data was used for the statistical analysis.
For all statistical analyses, the following approaches were used:i) univariate regression analyses, where each explanatory variablewas included individually in the model; and ii) a multiple regressionapproach, including all explanatory variables with mutualadjustment. The influence of the explanatory variables on microbialexposure were expressed as a percentage change in concentrationsof fungi, bacteria, endotoxin and TIP according to each givenincrement in the linear determinant variable or class variable.Analysed data for fungi, bacteria and endotoxin was not normallydistributed. However, the data was normally distributed after naturallogarithmic transformation and the logarithmically transformeddata was used for the statistical analysis.
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