Regional variations in risk factors for asthma in school children: METHODS (2)

Regional variations in risk factors for asthma in school children: METHODS (2)“Does your house have any damage caused by dampness (eg, wet spots on walls, floors)?”, or the question, “Are there signs of mould or mildew in any living areas in your home?”. Crowding was defined as the number of persons in the home divided by the number of rooms in the home. The proportion of life spent living in the current community was expressed as the number of years in the current location over age. Premature birth was defined as being born more than two weeks before the expected date. A history of early respiratory illness was considered to have occurred if there was a report of bronchitis, pneumonia, whooping cough or croup in the first two years of life. The type of dwelling was classified as single-family house or as other dwelling type, which included duplex, a more than two-family home and recreational vehicles, mobile homes and trailers. Buy Asthma Inhalers Online
Statistical analysis
All data were analyzed with the Statistical Package for the Social Sciences version 11.0 (SPSS Inc, USA). The prevalence of potential risk factors between the towns were compared using the % test for proportions between categorical variables, and the independent samples t test or Mann-Whitney test for continuous variables. Associations between asthma and various personal and indoor environmental characteristics were examined using a multivariate logistic regression model. Variables were included based on statistical significance, potential confounding and biological/clinical importance. The interaction between town and the other variables included in the main effects model was examined at the multivariate level. The OR and corresponding 95% CI of the main effects were then adjusted based on the interaction effect. Goodness of fit was tested using the Hosmer-Lemeshow test. Finally, multivariate analyses were conducted separately for boys and girls.

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