Observational Surveillance Approach to Detect Novel Work-Related Diseases and Hazards: An Application to a Belgian Occupational Health and Safety Database.

J Occup Environ Med

Innovation Hub and Population Health, University of Montreal Hospital Research Centre (CRCHUM), Montréal, Québec, Canada (Dr Bosson-Rieutort); University Grenoble Alpes, CNRS, G-INP, TIMC-IMAG, EPSP team (Environment and Health Prediction of Populations), Grenoble, France (Dr Bosson-Rieutort); IDEWE, External Service for Prevention and Protection at Work, Heverlee, Belgium (Dr Schouteden); IDEWE, External Service for Prevention and Protection at Work, Heverlee, Belgium (Dr Godderis); Katholieke Universiteit Leuven, Centre for Environment and Health, Leuven, Belgium (Dr Godderis); and University Grenoble Alpes, CNRS, G-INP, TIMC-IMAG, EPSP team (Environment and Health Prediction of Populations), Grenoble, France (Dr Bicout); VetAgro Sup, Biomathematics and Epidemiology Unit, Veterinary Campus of Lyon, Marcy l'Etoile, France (Dr Bicout).

Published: September 2018

AI Article Synopsis

  • The Spectrosome approach was used to analyze links between various occupational exposures and health issues, focusing on sore throat among agricultural workers.
  • The study utilized a large dataset (PRECUBE) from Belgian Occupational Health and Safety with over 381,000 observations to conduct the analysis.
  • Results indicated that the Spectrosome method identified more significant associations than traditional frequency analysis, highlighting the importance of considering multiple causes for health problems.

Article Abstract

Objectives: Rapid changes in working conditions give rise to new occupational health risks. We applied the Spectrosome approach, a network-based analysis, to investigate associations between disease and multiple occupational exposures.

Methods: We investigated work and health's associations in a specific sector: the agricultural sector and for a specific and frequent health complaint: sore throat; using PRECUBE dataset of the Belgian Occupational Health and Safety, containing 381.615 occupational health observations. We compared the results of the spectrosome with classic frequency analyses.

Results: Spectrosome approach reports more significant signals of multiple associations of agents compare to the frequency analysis.

Conclusion: This difference justifies the usefulness of taking into account the multiplicity of causes leading to a health event, which is a clear asset of the Spectrosome method.

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Source
http://dx.doi.org/10.1097/JOM.0000000000001399DOI Listing

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