Exposure Determinants in the French Database COLCHIC (1987–2019): Statistical Modeling across 77 Chemicals.

Objectives The COLCHIC database contains workplace exposure results of chemical samples collected by the French prevention network since 1987. We aimed to investigate potential associations between exposure levels and ancillary variables in COLCHIC across a broad range of chemical agents in order to...

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Publicado en:Annals of Work Exposures & Health Vol. 66; no. 5; pp. 563 - 580
Autores principales: Mater, Gautier, Sauvé, Jean-François, Sarazin, Philippe, Lavoué, Jérôme
Formato: meta analysis research tables/charts Journal Article
Publicado: Oxford University Press / USA Jun2022
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jun2022
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      pub: Oxford University Press / USA
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        atl: Exposure Determinants in the French Database COLCHIC (1987–2019): Statistical Modeling across 77 Chemicals.
      aug:
        au:
          Mater, Gautier
          Sauvé, Jean-François
          Sarazin, Philippe
          Lavoué, Jérôme
        affil: Institut National de Recherche et de Sécurité, Pollutants Metrology Department , 1 rue du Morvan, Vandœuvre-lès-Nancy , France
      sug:
        subj:
          Occupational Exposure Evaluation
          Occupational Hazards Adverse Effects
          Organic Chemicals Adverse Effects
          Occupational Hazards Evaluation
          Models, Statistical
          Resource Databases
          Human
          Personal Protective Equipment
          Workforce
          Descriptive Statistics
          Occupational Exposure Epidemiology
          France
          Meta Analysis
      ab: Objectives The COLCHIC database contains workplace exposure results of chemical samples collected by the French prevention network since 1987. We aimed to investigate potential associations between exposure levels and ancillary variables in COLCHIC across a broad range of chemical agents in order to provide insight into how to best interpret and exploit the information in this national database. Methods We selected personal and area measurements in COLCHIC and collected outside respiratory personal protective equipment (PPE), restricted to chemical agents that had at least 1000 samples available. We used Tobit models to estimate associations between exposure concentrations and sample year, sampling duration, PPE, workforce size, collective protective equipment, origin of request, and reason for request for each chemical agent for the period 1987–2019. Models for period 2002–2019 also included type of process (open/closed) and exposure frequency. We used separate models for each combination of agent, period, and personal or area samples. We then applied Bayesian meta-analytical methods to assess average effects and effect heterogeneity of exposure factors across agents. Results COLCHIC contained 720 282 exposure results (62% personal and 38% area samples) to 77 agents, including 346 766 results for the more recent period 2002–2019 (67% personal and 33% area samples). Sample year and duration, PPE, and process type had the strongest and most consistent associations with exposure levels across agents. Personal and area exposure levels decreased yearly (6% for the entire period and 9% since 2002), and 30-min samples were approximately twice as high as 240-min samples. Workers wearing PPE were exposed to levels 1.7 times higher on average than those without PPE for both area and personal samples. Personal exposure levels associated with enclosed or semi-enclosed processes were approximately 20–30% lower compared with open processes. The associations for the other exposure variables were weaker and more inconsistent between agents. Between-agent heterogeneity of estimated effects, based on 80% prediction intervals, was lowest for sampling duration, time trends, and the presence of PPE. Conclusions Sampling duration, time trends, and the presence of PPE are important factors to take into account when analyzing COLCHIC and had similar associations with exposure levels across agents. Other variables generally showed weaker associations or variable effects. These results will be used to adjust exposure estimates for the French working population from measurements stored in COLCHIC.
      pubtype: Academic Journal
      doctype:
        meta analysis
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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