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Estimating Respirable Dust Exposure from Inhalable Dust Exposure.

Cornelia Wippich¹, Jörg Rissler¹, Dorothea Koppisch¹

¹Institute for Occupational Safety and Health of the German Soical Accident Insurance, Alte Heerstraße, Sankt Augustin, Germany.

Annals of Work Exposures and Health

|March 1, 2020

Summary

This study develops conversion functions to estimate respirable dust from inhalable dust measurements. These functions are crucial for retrospective occupational exposure assessments and understanding occupational diseases.

Keywords:

aerosols conversion functions inhalable dust occupational dust exposure regression analysis respirable dust retrospective exposure assessment workplace assessment

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Area of Science:

Occupational Safety and Health
Industrial Hygiene
Environmental Science

Background:

Limited research exists on converting inhalable to respirable dust fractions.
Accurate conversion is vital for retrospective exposure assessments and occupational disease evaluations.

Purpose of the Study:

To establish conversion functions for estimating respirable dust from inhalable dust measurements.
To improve the accuracy of retrospective occupational exposure assessments.

Main Methods:

Regression analysis of 15,120 parallel measurements from the MEGA exposure database.
Data stratification based on working activity and material type.
Development of group-specific conversion functions through iterative refinement.

Main Results:

Inhalable dust is the primary predictor, with an adjusted R² of 0.585.
Splitting data by working activity and material improved the model (adj. R² = 0.668).
Seven refined groups (e.g., soldering, welding) yielded high accuracy (adj. R² 0.733–0.835) using power functions.

Conclusions:

The derived power functions are suitable for data reconstruction and retrospective exposure assessment.
Accurate conversion requires careful analysis of specific working conditions.
Respirable and inhalable dust are not generally linearly correlated.