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A new multiple regr...
A new multiple regression model to identify multi-family houses with a high prevalence of sick building symptoms "SBS", within the healthy sustainable house study in Stockholm (3H)
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- Engvall, Karin (author)
- Uppsala universitet,Arbets- och miljömedicin,Eva Vingård
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Hult, M (author)
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Corner, R (author)
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- Lampa, E (author)
- Uppsala universitet,Arbets- och miljömedicin,Eva Vingård
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- Norbäck, D (author)
- Uppsala universitet,Arbets- och miljömedicin,eva vingård
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- Emenius, G (author)
- Karolinska Institutet
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(creator_code:org_t)
- 2009-07-26
- 2010
- English.
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In: International Archives of Occupational and Environmental Health. - : Springer Science and Business Media LLC. - 0340-0131 .- 1432-1246. ; 83:1, s. 85-94
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
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- 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.
Keyword
- Atopy
- Building age
- Multi-family buildings
- Questionnaire
- Sick building symptoms “SBS”
- MEDICINE
- MEDICIN
Publication and Content Type
- ref (subject category)
- art (subject category)
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