Department of Medical Science, Occupational and Environmental Medicine, Uppsala University, Uppsala, Sweden.
Int Arch Occup Environ Health. 2010 Jan;83(1):85-94. doi: 10.1007/s00420-009-0447-0. Epub 2009 Jul 26.
The aim was to develop a new model to identify residential buildings with higher frequencies of "SBS" than expected, "risk buildings".
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.
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%).
To identify "risk buildings", it is necessary to adjust for ownership and population characteristics.
目的是建立一个新的模型来识别比预期有更高频率“SBS”的住宅建筑，即“风险建筑”。
2005 年，对斯德哥尔摩的 481 座有 10506 套住宅的多户住宅建筑进行了一项新的分层随机抽样研究。使用标准化的自我管理问卷来评估“SBS”、特应性和个人因素。回应率为 73%。通过多元逻辑回归进行统计分析。
拥有自己房屋的居民比租房者报告的“SBS”少。社会经济因素与所有权之间存在很强的关系。回归模型对年龄、性别、特应性和所有权有很高的解释值。应用我们的模型，斯德哥尔摩 9%的所有住宅建筑被归类为“风险建筑”，其中建于 1961-1975 年的房屋比例最高（26%），建于 1985-1990 年的房屋比例最低（4%）。
要识别“风险建筑”，有必要根据所有权和人口特征进行调整。
