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The spectrosome of occupational health problems.

Abstract Given the increased prevalence of cancer, respiratory diseases, and reproductive disorders, for which multifactorial origins are strongly suspected, the impact of the environment on the population represents a substantial public health challenge. Surveillance systems have become an essential public health decision-making tool. Networks have been constructed to facilitate the development of analyses of the multifactorial aspects of the relationships between occupational contexts and health. The aim of this study is to develop and present an approach for the optimal exploitation of observational databases to describe and improve the understanding of the (occupational) environment-health relationships, taking into account key multifactorial aspects. We have developed a spectral analysis (SA) approach that takes into account both the multi-exposure and dynamic natures of occupational health problems (OHPs) and related associations. The main results of this paper are to present the construction method of the "spectrum" and "spectrosome" of OHPs (range and structured list of occupational exposures) and describe the information contained therein with an illustrative example. The approach is illustrated using the case of non-Hodgkin lymphoma (NHL) from the French National Occupational Diseases Surveillance and Prevention Network database as a working example of an occupational disease. We found that the NHL spectrum includes 40 sets of occupational exposures characterized by important multi-exposures, especially solvent combinations or pesticide combinations, but also specific exposures such as polycyclic aromatic hydrocarbons, formaldehyde and ionizing radiation. These findings may be useful for surveillance and the assessment of occupational exposure related to health risks.
PMID
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Authors

Mayor MeshTerms
Keywords
Journal Title plos one
Publication Year Start




PMID- 29304043
OWN - NLM
STAT- MEDLINE
DCOM- 20180129
LR  - 20180129
IS  - 1932-6203 (Electronic)
IS  - 1932-6203 (Linking)
VI  - 13
IP  - 1
DP  - 2018
TI  - The spectrosome of occupational health problems.
PG  - e0190196
LID - 10.1371/journal.pone.0190196 [doi]
AB  - Given the increased prevalence of cancer, respiratory diseases, and reproductive 
      disorders, for which multifactorial origins are strongly suspected, the impact of
      the environment on the population represents a substantial public health
      challenge. Surveillance systems have become an essential public health
      decision-making tool. Networks have been constructed to facilitate the
      development of analyses of the multifactorial aspects of the relationships
      between occupational contexts and health. The aim of this study is to develop and
      present an approach for the optimal exploitation of observational databases to
      describe and improve the understanding of the (occupational) environment-health
      relationships, taking into account key multifactorial aspects. We have developed 
      a spectral analysis (SA) approach that takes into account both the multi-exposure
      and dynamic natures of occupational health problems (OHPs) and related
      associations. The main results of this paper are to present the construction
      method of the "spectrum" and "spectrosome" of OHPs (range and structured list of 
      occupational exposures) and describe the information contained therein with an
      illustrative example. The approach is illustrated using the case of non-Hodgkin
      lymphoma (NHL) from the French National Occupational Diseases Surveillance and
      Prevention Network database as a working example of an occupational disease. We
      found that the NHL spectrum includes 40 sets of occupational exposures
      characterized by important multi-exposures, especially solvent combinations or
      pesticide combinations, but also specific exposures such as polycyclic aromatic
      hydrocarbons, formaldehyde and ionizing radiation. These findings may be useful
      for surveillance and the assessment of occupational exposure related to health
      risks.
FAU - Bosson-Rieutort, Delphine
AU  - Bosson-Rieutort D
AUID- ORCID: 0000-0002-5035-6457
AD  - Grenoble Alpes University / CNRS / TIMC-IMAG UMR 5525 (EPSP team - Environment
      and Health Prediction of Populations), Grenoble, France.
FAU - de Gaudemaris, Regis
AU  - de Gaudemaris R
AD  - Grenoble Alpes University / CNRS / TIMC-IMAG UMR 5525 (EPSP team - Environment
      and Health Prediction of Populations), Grenoble, France.
AD  - Occupational and Environmental Diseases Centre, Grenoble Teaching Hospital (CHU
      Grenoble), Grenoble, France.
FAU - Bicout, Dominique J
AU  - Bicout DJ
AD  - Grenoble Alpes University / CNRS / TIMC-IMAG UMR 5525 (EPSP team - Environment
      and Health Prediction of Populations), Grenoble, France.
AD  - Biomathematics and Epidemiology EPSP-TIMC, VetAgro Sup, Veterinary Campus of
      Lyon, Marcy l'Etoile, France.
AD  - Laue - Langevin Institute, Theory Group, France.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20180105
PL  - United States
TA  - PLoS One
JT  - PloS one
JID - 101285081
RN  - 0 (Polycyclic Aromatic Hydrocarbons)
RN  - 1HG84L3525 (Formaldehyde)
SB  - IM
MH  - Formaldehyde/toxicity
MH  - Humans
MH  - Occupational Diseases/classification/*epidemiology
MH  - Polycyclic Aromatic Hydrocarbons/toxicity
MH  - Population Surveillance
MH  - Prevalence
MH  - Radiation, Ionizing
PMC - PMC5755768
EDAT- 2018/01/06 06:00
MHDA- 2018/01/30 06:00
CRDT- 2018/01/06 06:00
PHST- 2017/05/09 00:00 [received]
PHST- 2017/12/08 00:00 [accepted]
PHST- 2018/01/06 06:00 [entrez]
PHST- 2018/01/06 06:00 [pubmed]
PHST- 2018/01/30 06:00 [medline]
AID - 10.1371/journal.pone.0190196 [doi]
AID - PONE-D-17-13316 [pii]
PST - epublish
SO  - PLoS One. 2018 Jan 5;13(1):e0190196. doi: 10.1371/journal.pone.0190196.
      eCollection 2018.