Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Exposure assessment for a population-based case-control study combining a job-exposure matrix with interview data.

Sean E Semple1, Finlay Dick, John W Cherrie

  • 1Department of Environmental & Occupational Medicine, University of Aberdeen, Aberdeen, United Kingdom. sean.semple@abdn.ac.uk

Scandinavian Journal of Work, Environment & Health
|July 15, 2004
PubMed
Summary

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Reliability of self-reported career histories reported by former professional association football players included in the health and ageing data iN the game of football (HEADING) study.

Annals of work exposures and health·2026
Same author

Skin conditions associated with dermal exposure to oil spill chemicals among Deepwater Horizon disaster response and cleanup workers.

Ecotoxicology and environmental safety·2025
Same author

Reply to Letter to the Editor by Driscoll et al.

Annals of work exposures and health·2025
Same author

Seasonal analysis of indoor and outdoor ratios of PM<sub>2.5</sub> and PM<sub>10</sub> in Bangkok and Chiang Mai: A comparative study of haze and non-haze episodes.

Heliyon·2025
Same author

Should engineered stone products be banned?

Occupational and environmental medicine·2024
Same author

Estimating occupational disease burden: a way forward.

Annals of work exposures and health·2024

A new method combines job-exposure matrices with worker-specific data for accurate occupational exposure assessment in Parkinson's disease studies. This approach enhances ease of use and provides detailed quantitative exposure indices.

Area of Science:

  • Occupational epidemiology
  • Environmental health
  • Toxicology

Background:

  • Job-exposure matrices (JEMs) offer ease of use but lack individual specificity.
  • Accurate occupational exposure assessment is crucial for understanding disease etiology, particularly in complex diseases like Parkinson's.
  • Existing methods often struggle to balance usability with the need for detailed, job-specific exposure data.

Purpose of the Study:

  • To develop and present a detailed methodology for combining interview data with expert assessments for occupational exposure.
  • To create a system that integrates the simplicity of JEMs with the precision of job-specific data.
  • To enable accurate quantitative exposure indices for large-scale epidemiological studies, specifically Parkinson's disease.

Main Methods:

Related Experiment Videos

  • An interview-administered questionnaire triggers substance-specific modules to collect exposure-related information.
  • Expert assessors modify baseline JEM estimates using worker-specific data (e.g., control measures, symptoms, material quantity).
  • Detailed guidance is provided for adjusting exposure estimates based on these worker-specific modifiers.

Main Results:

  • The method demonstrated high agreement (Spearman's rho = 0.89) when compared to previously validated exposure reconstructions in a separate cohort.
  • A quality assurance system showed excellent repeatability of exposure values over time (Spearman's rho = 0.98) and between different assessors (Spearman's rho = 0.88).
  • The developed methodology provides robust and reproducible quantitative exposure indices.

Conclusions:

  • This novel method offers a practical and efficient approach to generating detailed quantitative exposure indices for occupational epidemiology.
  • Its strengths lie in its ease of use and speed, making it suitable for large population-based studies.
  • The methodology provides a valuable framework for future epidemiologic research on occupational exposures and disease.