Healthy Worker Effect Phenomenon: Revisited with Emphasis on Statistical Methods - A Review

Area of Science:

• Occupational Epidemiology
• Biostatistics
• Public Health

Background:

• The healthy worker effect (HWE) is a long-recognized phenomenon in occupational cohort studies.
• It represents a form of selection bias, impacting health outcome assessments.
• Its nature (confounding vs. selection bias) and impact remain subjects of ongoing scientific debate.

Purpose of the Study:

• To provide a comprehensive review of the healthy worker effect.
• To discuss the factors that influence the HWE.
• To summarize methods for assessing and accounting for HWE in statistical analyses.

Main Methods:

• Literature review of the healthy worker effect.
• Analysis of factors influencing HWE variability.
• Synthesis of statistical approaches for HWE mitigation.

Main Results:

• HWE is not uniform; it varies by demographics (age, gender, race) and occupation.
• The effect's magnitude can change over time.
• Assessing and statistically managing HWE requires complex methodologies.

Conclusions:

• Understanding HWE variability is crucial for accurate occupational health research.
• Sophisticated statistical methods are necessary to address HWE.
• Further research into HWE mitigation strategies is warranted.