The assumption that mold infestations might be detected by microbial VOC emissions must be considered with great reservation. The major part of the total variability of the measured MVOC concentrations originates from not known influencing factors and/or from factors not directly associated with the mold status of the dwellings (confounders). More specific and sensitive markers for the assessment of the mold status should be found, if the screening for mold infestations should be performed by volatile organic compounds.

Microorganisms like bacteria and molds produce a huge variety of substances, and a part of them are released into the environment. Some compounds like, e.g. alcohols or ketones are volatile, therefore found in the air and called MVOC. Those compounds were considered helpful to track especially hidden mold damage. The study presented here showed, that the emission pattern varies from genus to genus and sometimes even from fungal strain to fungal strain. The results concerning the emission rates from different infested building materials proved, that the concentrations produced are much too low to be detected in indoor air, especially considering the dilution because of ventilation. Therefore, we conclude that MVOC should not be used as predictors for mold damage in indoor environments.

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SUMMARYSince long, socio-economic status, often expressed as an index, is known to correlate with health outcomes like behavioural problems. We constructed a new index that encapsulated not only economic and social but also environmental stressors (ESES), using data of the German Health Interview and Examination Survey for Children and Adolescents, a nation-wide representative surveillance of 17,641 participants aged between 0-17 years. Different factors were selected to account for socio-economic stress (low parental education, low household income, low occupational status of the householder), domestic stress (living in large cities, exposure to tobacco smoke at home, crowded housing, mouldy walls), and prenatal stress (maternal smoking during pregnancy, drinking alcohol during pregnancy). Prior to the calculation of ESES, the different factors were multiplied by weights which were estimated by multivariate linear regression on a number of health outcomes. ESES was then used to predict emotional and social problems (SDQ scores). The resulting ORs were compared with those obtained for an established socio-economic index (SEI). ESES was superior to SEI as it could more clearly identify children and adolescents with emotional or social problems. Different types of stressors (i.e. socio-economic stress, domestic stress and prenatal stress) contributed independently to emotional and social problems.