Occupied with classification: Which occupational classification scheme better predicts health outcomes?

Area of Science:

• Occupational Health
• Social Epidemiology
• Environmental Health

Background:

• Health inequalities persist despite policy interventions.
• Work is often treated as a social class component, not an independent health determinant.
• Existing social class classifications may not accurately represent occupational exposures.

Purpose of the Study:

• To introduce the "work-related exposome" (worksome) model for analyzing work-related health.
• To empirically test if occupation-specific classifications predict health measures better than social class.
• To establish a conceptual framework for work-health research.

Main Methods:

• Development of the "work-related exposome" (worksome) model.
• Analysis of the European Working Conditions Survey (EWCS) data.
• Logistic regression with Bayesian Markov Chain Monte Carlo (MCMC) estimation.
• Model comparison using the Deviance Information Criterion (DIC).

Main Results:

• The 2-digit International Standard Classification of Occupations (ISCO) demonstrated the highest predictive accuracy for all health measures.
• The worksome model effectively separates occupational types from social classifications.
• Occupation-specific classifications significantly outperformed socio-economic class classifications in predicting health.

Conclusions:

• Occupation-specific classifications are superior to socio-economic class for studying work-health relationships.
• The worksome provides a robust framework for integrating physical and psychosocial work exposures.
• Future work-health research should prioritize occupation and industry-specific classifications.