PURPOSES: The aim was to develop a new model to identify residential buildings with higher frequencies of "SBS" than expected, "risk buildings". METHODS: In 2005, 481 multi-family buildings with 10,506 dwellings in Stockholm were studied by a new stratified random sampling. A standardised self-administered questionnaire was used to assess "SBS", atopy and personal factors. The response rate was 73%. Statistical analysis was performed by multiple logistic regressions. RESULTS: Dwellers owning their building reported less "SBS" than those renting. There was a strong relationship between socio-economic factors and ownership. The regression model, ended up with high explanatory values for age, gender, atopy and ownership. Applying our model, 9% of all residential buildings in Stockholm were classified as "risk buildings" with the highest proportion in houses built 1961-1975 (26%) and lowest in houses built 1985-1990 (4%). CONCLUSION: To identify "risk buildings", it is necessary to adjust for ownership and population characteristics.
PURPOSES: The aim was to develop a new model to identify residential buildings with higher frequencies of "SBS" than expected, "risk buildings". METHODS: In 2005, 481 multi-family buildings with 10,506 dwellings in Stockholm were studied by a new stratified random sampling. A standardised self-administered questionnaire was used to assess "SBS", atopy and personal factors. The response rate was 73%. Statistical analysis was performed by multiple logistic regressions. RESULTS: Dwellers owning their building reported less "SBS" than those renting. There was a strong relationship between socio-economic factors and ownership. The regression model, ended up with high explanatory values for age, gender, atopy and ownership. Applying our model, 9% of all residential buildings in Stockholm were classified as "risk buildings" with the highest proportion in houses built 1961-1975 (26%) and lowest in houses built 1985-1990 (4%). CONCLUSION: To identify "risk buildings", it is necessary to adjust for ownership and population characteristics.
Authors: C G Bornehag; G Blomquist; F Gyntelberg; B Järvholm; P Malmberg; L Nordvall; A Nielsen; G Pershagen; J Sundell Journal: Indoor Air Date: 2001-06 Impact factor: 5.770
Authors: Greta Smedje; Juan Wang; Dan Norbäck; Håkan Nilsson; Karin Engvall Journal: Int Arch Occup Environ Health Date: 2017-06-17 Impact factor: 3.015
Authors: Rune Becher; Anja Hortemo Høie; Jan Vilhelm Bakke; Sverre Bjørn Holøs; Johan Øvrevik Journal: Int J Environ Res Public Health Date: 2017-10-17 Impact factor: 3.390