A cross-sectional study was carried out to investigate the occurrence of the sick building syndrome (SBS) among office workers in Mauritius. A walk-through inspection and a questionnaire survey were carried out in 21 office building complexes to evaluate the prevalence of risk indicators for SBS symptoms among 302 office workers. Indoor climatic variables monitored were: carbon dioxide, carbon monoxide, nitrogen dioxide, air temperature, relative humidity, air movement, noise and light. All data collected were analysed using the EPl-info software.
Control of indoor pollution sources and ventilation are both means of improving indoor air quality. Three independent experiments have recently documented that removing a pollution source or increasing the ventilation rate will improve perceived air quality, reduce the intensity of several Sick Building Syndrome (SBS) symptoms and improve the productivity of office workers.
The aim was to develop a multiple logistic regression model to identify multi-family houses with an increase of sick building syndrome (SBS). In Stockholm, 609 multi-family buildings with 14,235 dwellings were selected by stratified random sampling. The response rate was 77%. Multiple logistic regression analysis was applied, adjusting for ownership of the building, building age and size, age, gender, and atopy. Females, subjects with allergy, those above 65 yr, and those in new buildings reported significantly more SBS.
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