A Statistical Approach for the Evaluation of the Spirometric Alterations in Workers Exposed to Fiberglass
In this paper we performed a statistical study on the effects of exposure to fiberglass dusts in a sample of exposed subjects, in comparison to a control sample. Five spirometrie parameters were considered: VC, FVC, FEV1, PEF and FEF25-75. The low sampling number and the lucky of normality in the distributions didn't guarantee valid asymptotic results, therefore a non parametric approach was used. First of all, we performed a comparison between exposed and controls for each spirometrie parameter, successively, for only exposed subjects, a comparison between smokers and not smokers was carried on, in order to evaluate the influence of smoke; moreover a comparison among subjects with different duties has been conducted in order to evaluate the spirometrie alterations due to different exposition. Finally we estimated a logistic regression model to assess the dependence of each dichotomized spirometrie variable from an opportune risk index.(original abstract)
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