Construction of a Job Exposure Matrix to Dust, Fluoride, and Polycyclic Aromatic Hydrocarbons in the Norwegian Aluminum Industry using Prediction Models.

Background: The Norwegian aluminum industry developed and implemented a protocol for prospective monitoring of employees' exposure using personal samplers. We analyzed these data to develop prediction lines to construct a job exposure matrix ( JEM) for the period 1986-1995. Methods: The protocol for...

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Publicado en:Annals of Occupational Hygiene Vol. 59; no. 9; pp. 1106 - 1122
Autores principales: Søyseth, Vidar, Henneberger, Paul, Virji, Mohammed Abbas, Bakke, Berit, Kongerud, Johny
Formato: research tables/charts Journal Article
Publicado: Oxford University Press / USA Nov2015
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Nov2015
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        atl: Construction of a Job Exposure Matrix to Dust, Fluoride, and Polycyclic Aromatic Hydrocarbons in the Norwegian Aluminum Industry using Prediction Models.
      aug:
        au:
          Søyseth, Vidar
          Henneberger, Paul
          Virji, Mohammed Abbas
          Bakke, Berit
          Kongerud, Johny
        affil: Medical Division, Akershus University Hospital, Lørenskog 1478, Norway
      sug:
        subj:
          Aluminum
          Manufacturing Industry
          Dust
          Fluorides
          Polycyclic Hydrocarbons, Aromatic
          Inhalation Exposure Analysis
          Occupational Exposure Analysis
          Human
          Norway
          Linear Regression
          Multimethod Studies
          Relative Risk
          Paired T-Tests
          Descriptive Statistics
          Confidence Intervals
      ab: Background: The Norwegian aluminum industry developed and implemented a protocol for prospective monitoring of employees' exposure using personal samplers. We analyzed these data to develop prediction lines to construct a job exposure matrix ( JEM) for the period 1986-1995. Methods: The protocol for personal monitoring of exposure was implemented in all seven Norwegian aluminum plants in 1986 and continued until 1995. Personal samplers were used to collect total dust, fluorides, and total polycyclic aromatic hydrocarbons (PAH). In addition, exposure could be categorized according to process, i.e. prebake, Søderberg, and 'other'. We constructed four-dimensional JEMs characterized by: Plant, Job descriptor, Process, and Year. Totally 8074, 6734, and 3524 measurements were available for dust, fluorides, and PAH, respectively. The data were analyzed using linear mixed models with two-way interactions. The models were assessed using the Akaike criterion (AIC) and unadjusted R². The significance level was set to 10% (two-sided) for retaining variables in the model. Results: In 1986, the geometric mean (95% confidence interval in parentheses) for total dust, total fluorides, and PAH were 3.18 (0.46-22.2) mg m-3, 0.58 (0.085-4.00) mg m-3, and 33.9 (2.3-504) µg m-3, respectively. During 10 years of follow-up, the exposure to total dust, fluorides, and PAH decreased by 9.2, 11.7, and 14.9% per year, respectively. Each model encompassed from 49 to 72 significant components of the interaction terms. The interaction components were at least as important as the main effects, and 65 to 91% of the significant components of the interaction terms were time-dependent. Conclusion: Our prediction models indicated that exposures were highly time-dependent. We expect that the time-dependent changes in exposure are of major importance for longitudinal studies of health effects in the aluminum industry.
      pubtype: Academic Journal
      doctype:
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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