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  1. Fulltext. Hierarchical cluster analysis applied to workers'exposures in fiberglass insulation manufacturing.

    Article - En anglais


    The objectives of this study were to explore the application of cluster analysis to the characterization of multiple exposures in industrial hygiene practice and to compare exposure groupings based on the result from cluster analysis with that based on non-measurement-based approaches commonly used in epidemiology.

    Cluster analysis was performed for 37 workers simultaneously exposed to three agents (endotoxin, phenolic compounds and formaldehyde) in fiberglass insulation manufacturing.

    Different clustering algorithms, including complete-linkage (or farthest-neighbor), single-linkage (or nearest-neighbor), group-average and model-based clustering approaches, were used to construct the tree structures from which clusters can he formed.

    Differences were observed between the exposure clusters constructed by these different clustering algorithms.

    When contrasting the exposure classification based on tree structures with that based on non-measurement-based information, the results indicate that the exposure clusters identified from the tree structures had little in common with the classification results from either the traditional exposure zone or the work group classification approach.

    In terms of the defining homogeneous exposure groups or from the standpoint of health risk, some toxicological normalization in the components of the exposure vector appears to be required in order to form meaningful exposure groupings from cluster analysis. (...)

    Mots-clés Pascal : Endotoxine, Phénols, Formaldéhyde, Association toxique, Exposition professionnelle, Industrie, Fibre verre, Analyse amas, Méthodologie, Epidémiologie, Méthode statistique, Médecine travail, Classification, Arbre graphe

    Mots-clés Pascal anglais : Endotoxin, Phenols, Formaldehyde, Toxic association, Occupational exposure, Industry, Glass fiber, Cluster analysis, Methodology, Epidemiology, Statistical method, Occupational medicine, Classification, Tree(graph)

    Logo du centre Notice produite par :
    Inist-CNRS - Institut de l'Information Scientifique et Technique

    Cote : 99-0136163

    Code Inist : 002B03L06. Création : 16/11/1999.