Occupational exposome: A network-based approach for characterizing Occupational Health Problems

Autor: V. Bonneterre, Dominique J. Bicout, Régis de Gaudemaris, Laurie Faisandier
Přispěvatelé: Environnement et Prédiction de la Santé des Populations (TIMC-IMAG-EPSP), Techniques de l'Ingénierie Médicale et de la Complexité - Informatique, Mathématiques et Applications, Grenoble - UMR 5525 (TIMC-IMAG), VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Centre National de la Recherche Scientifique (CNRS)-Université Joseph Fourier - Grenoble 1 (UJF)
Jazyk: angličtina
Předmět:
Exposome
medicine.medical_specialty
Databases
Factual
Occupational disease
Context (language use)
Health Informatics
Network
Disease
Occupational safety and health
03 medical and health sciences
0302 clinical medicine
Multi-exposure
Occupational Exposure
Environmental health
medicine
Humans
030212 general & internal medicine
Occupational Health
030304 developmental biology
0303 health sciences
[SDV.MHEP.ME]Life Sciences [q-bio]/Human health and pathology/Emerging diseases
business.industry
Lymphoma
Non-Hodgkin
Public health
Computational Biology
Reproducibility of Results
medicine.disease
[SDE.ES]Environmental Sciences/Environmental and Society
3. Good health
Computer Science Applications
Occupational Diseases
Population Surveillance
France
Occupational exposure
business
[STAT.ME]Statistics [stat]/Methodology [stat.ME]
Medical Informatics
Zdroj: Journal of Biomedical Informatics
Journal of Biomedical Informatics, Elsevier, 2011, 44 (4), pp.545-552. ⟨10.1016/j.jbi.2011.02.010⟩
ISSN: 1532-0464
1532-0480
DOI: 10.1016/j.jbi.2011.02.010
Popis: International audience; Surveillance of work-related diseases and associated exposures is a major issue of public health, in particular for identifying and preventing new threats for health. In the occupational health context, the French national occupational disease surveillance and prevention network (RNV3P) have constructed a growing database that records every year all Occupational Health Problems (OHPs) diagnosed by a network of physician specialists. The network aims to provide and develop an expertise on the disease-exposure relationships, and uses the RNV3P database for developing the surveillance of OHPs and for the detection of emerging associations between diseases and occupational exposures. In this paper, we have developed the theoretical framework of the occupational exposome, defined as a network of OHPs linked by similar occupational exposures, as a novel approach which allows to characterize and to analyze the disease-exposure associations reported in the RNV3P database in the form of a relational network. Next, the occupational exposome is structured in terms of occupational exposure groups which constitute informative sub-sets of hazards considered as the backbone tree spectrum of the occupational exposures potentially related to a disease. To illustrate the wide possibilities of this method, the exposome approach is applied to the RNV3P database's sample of Non-Hodgkin Lymphomas (NHLs). As a result, we found that the NHL occupational exposome could be described in terms of 86 embedded exposure groups, defined as a set of OHPs sharing at least one component of the occupational multi-exposure. For example, "organic solvents and thinners" is the most represented hazards related to NHLs, but is also co-associated to "benzene", "ionizing radiations" or "agricultural products". From the knowledge stored in the database by physician experts, the occupational exposome constitutes a decisive step towards the evolving monitoring of multi-exposure associated to a given disease.
Databáze: OpenAIRE
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