]. Additionally, average outdoor temperature , provided by the Belgian Royal Meteorological Institute, was calculated as the daily mean temperatures measured at a representative measuring station averaged over the sampling period.
Upon sample collection, we obtained additional household information: number of household members, pet ownership, ventilation type, and sampling duration. Pet ownership was dichotomized into the presence of a furry pet or not and ventilation type into the use of passive ventilation or not.]. We screened for outliers using a threshold of more or less than three times the standard deviation away from the mean. We removed two outliers for the bacterial Shannon diversity index.
To examine the associations between microbial exposure and the child’s behavior, we used logistic regression models for the SDQ outcomes, adjusting for the aforementioned core variables , as well as the number of household members, which was identified as an additional potential confounder for this analysis. Results regarding microbial diversity are expressed as odds ratios per interquartile range increase in microbial diversity indices or for a 2-fold increase in microbial load.
To investigate microbial exposure in association with cognitive CANTAB outcomes, we log-transformed all response times to better comply with assumptions on model linearity. Furthermore, we performed multivariable linear regression models adjusting for the aforementioned core variables , as well as the time of examination, reflecting relevant technical information regarding the CANTAB outcomes.
To assess the robustness of our findings, we additionally adjusted for potential confounders: smoking, determinants for indoor microbiota , screen time , and number of household members. We performed two sensitivity analyses for CANTAB models, excluding children who showed any signs of possible disinterest during cognitive testing, based on behavioral remarks and irregular touch patterns .
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