logo BDSP

Base documentaire

  1. Comprehensive evaluation of long term trends in occupational exposure : part 2. Predictive models for declining exposures.

    Article - En anglais


    To explore the effects of various factors related to the industry, the contaminant, and the period and type of sampling on long term declining trends in occupational exposure.

    Methods-Linear regression analyses were used to assess the relation between reductions in exposure and geographical location, industrial sector, type of contaminant, type of monitoring, carcinogenic classification, calendar period, duration of sampling, and number of reductions in the threshold limit value during the sampling period.

    Both univariable and multivariable models were applied.


    Based on univariable analyses, the findings suggest that exposures declined more rapidly in manufacturing than in mining, more rapidly for aerosol contaminants than for vapours, and more rapidly when biological, rather than airborne, monitoring was conducted.

    Exposures collected more recently (first year of sampling in 1972 or later) fell more rapidly than exposures first evaluated during earlier periods.

    Irrespective of when the data were collected, the results also suggest that the longer the duration of sampling the slower the rate of decline.

    Taken together, we found that characteristics related to the contaminant, the industry, the sampling period, and the type of sampling explained a substantial proportion of the variability for exposures evaluated before 1972 (R2=0.78) and for sites evaluated both before and after 1972 (R2=0. (...)

    Mots-clés Pascal : Exposition professionnelle, Médecine travail, Tendance, Variation temporelle, Article synthèse, Base donnée, Rétrospective, Typologie, Industrie, Composé chimique, Analyse régression, Modèle prévision, Homme, Facteur prédictif

    Mots-clés Pascal anglais : Occupational exposure, Occupational medicine, Trend, Time variation, Review, Database, Retrospective, Typology, Industry, Chemical compound, Regression analysis, Forecast model, Human, Predictive factor

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

    Cote : 98-0263593

    Code Inist : 002B30B04. Création : 11/09/1998.