title: Constructing a Database of Similar Exposure Groups: The Application of the Exporisq-HAP Database from 1995 to 2015.
abstract: Similar exposure groups (SEGs) are needed to reliably assess occupational exposures and health risks. However, the construction of SEGs can turn out to be rather challenging because of the multifactorial variability of exposures.
  
  
  
  The objective of this study is to put forward a semi-empirical approach developed to construct and implement a SEG database for exposure assessments. An occupational database of airborne levels of polycyclic aromatic hydrocarbons (PAHs) was used as an illustrative and working example.
  
  
  
  The approach that was developed consisted of four steps. The first three steps addressed the construction and implementation of the occupational Exporisq-HAP database (E-HAP). E-HAP was structured into three hierarchical levels of exposure groups, each of which was based on exposure determinants, along 16 dimensions that represented the sampled PAHs. A fourth step was implemented to identify and generate SEGs using the geometric standard deviation (GSD) of PAH concentrations.
  
  
  
  E-HAP was restructured into 16 (for 16 sampled PAHs) 3 × 3 matrices: three hierarchical levels of description versus three degrees of dispersion, which included low (the SEG database: GSD ≤ 3), medium (3 < GSD ≤ 6), and high (GSD > 6). Benzo[a]pyrene (BaP) was the least dispersed particulate PAH with 41.5% of groups that could be considered as SEGs, 48.5% of groups of medium dispersion, and only 8% with high dispersion. These results were comparable for BaP, BaP equivalent toxic, or the sum of all carcinogenic PAHs but were different when individual gaseous PAHs or ∑PAHG were chosen.
  
  
  
  Within the framework of risk assessment, such an approach, based on groundwork studies, allows for both the construction of an SEG database and the identification of exposure groups that require improvements in either the description level or the homogeneity degree toward SEG.
authors.affiliation: Grenoble Alpes University, TIMC-IMAG (UMR 5525 CNRS - UJF), EPSP Team (Environment and Health Prediction of Populations), UFR de Médecine de Grenoble,F-38000 Grenoble, France.
authors.forename: Pascal
authors.initials: P
authors.lastname: Petit
authors.affiliation: Grenoble Alpes University, TIMC-IMAG (UMR 5525 CNRS - UJF), EPSP Team (Environment and Health Prediction of Populations), UFR de Médecine de Grenoble, F-38000 Grenoble, France.|VetAgro Sup, Biomathematics and Epidemiology Unit, Veterinary Campus of Lyon, F-69280 Marcy l'Etoile, France.
authors.forename: Dominique J
authors.initials: DJ
authors.lastname: Bicout
authors.affiliation: Grenoble Alpes University, TIMC-IMAG (UMR 5525 CNRS - UJF), EPSP Team (Environment and Health Prediction of Populations), UFR de Médecine de Grenoble, F-38000 Grenoble, France.|Grenoble Alpes Teaching Hospital, Occupational and Environmental Toxicology Laboratory, Biochemistry Toxicology and Pharmacology Department, Biology and Pathology Institute, F-38000 Grenoble, France.
authors.forename: Renaud
authors.initials: R
authors.lastname: Persoons
authors.affiliation: Grenoble Alpes University, TIMC-IMAG (UMR 5525 CNRS - UJF), EPSP Team (Environment and Health Prediction of Populations), UFR de Médecine de Grenoble, F-38000 Grenoble, France.|Grenoble Teaching Hospital, Occupational Diseases Consultations Center, Public Health Department, F-38000 Grenoble, France.
authors.forename: Vincent
authors.initials: V
authors.lastname: Bonneterre
authors.affiliation: Grenoble Alpes University, TIMC-IMAG (UMR 5525 CNRS - UJF), EPSP Team (Environment and Health Prediction of Populations), UFR de Médecine de Grenoble, F-38000 Grenoble, France.|Grenoble Alpes Teaching Hospital, Occupational and Environmental Toxicology Laboratory, Biochemistry Toxicology and Pharmacology Department, Biology and Pathology Institute, F-38000 Grenoble, France.
authors.forename: Damien
authors.initials: D
authors.lastname: Barbeau
authors.affiliation: Grenoble Alpes University, TIMC-IMAG (UMR 5525 CNRS - UJF), EPSP Team (Environment and Health Prediction of Populations), UFR de Médecine de Grenoble, F-38000 Grenoble, France.|Grenoble Alpes Teaching Hospital, Occupational and Environmental Toxicology Laboratory, Biochemistry Toxicology and Pharmacology Department, Biology and Pathology Institute, F-38000 Grenoble, France.
authors.forename: Anne
authors.initials: A
authors.lastname: Maître
mesh_terms: D000395:Air Pollutants, Occupational / Q000032:analysis*; D016208:Databases, Factual; D004781:Environmental Exposure / Q000032:analysis*; D004784:Environmental Monitoring / Q000379:methods; D006801:Humans; D007221:Industry; D008962:Models, Theoretical; D016273:Occupational Exposure; D011084:Polycyclic Aromatic Hydrocarbons / Q000032:analysis*; D018570:Risk Assessment / Q000379:methods
chemical_list: D000395:Air Pollutants, Occupational; D011084:Polycyclic Aromatic Hydrocarbons
keywords:  Exporisq-HAP database; PAHs; approach for creating SEGs; data collection and implementation; health risk assessment; occupational exposure assessment; occupational exposure database; polycyclic aromatic hydrocarbons; semi-empirical approach; similar exposure group