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Group-based measurement strategies in exposure assessment explored by bootstrapping
M J Hoozemans1, A Burdorf, A J van der Beek
1Coronel Institute for Occupational and Environmental Health, AmCOGG Amsterdam Center for Research into Health and Health Care, Academic Medical Center, University of Amsterdam, The Netherlands. m.j.hoozemans@amc.uva.nl
Optimizing exposure assessments requires balancing the number of workers and measurements. Observing more than 10 workers yields diminishing precision gains in occupational pushing exposure studies.
Area of Science:
- Occupational health and safety
- Ergonomics
- Industrial hygiene
Background:
- Assessing worker exposure to physical tasks like pushing is crucial for workplace safety.
- Understanding the precision of group mean exposure estimates is key for effective risk management.
Observation:
- Onsite observations were used to record the frequency and duration of pushing for two occupational groups.
- Data were segmented into 30-minute observation periods.
- Bootstrapping methods generated 90% confidence intervals to quantify the precision of group mean exposure.
Findings:
- Little precision was gained by observing more than 10 workers, with confidence intervals decreasing by less than 5% per additional worker after this threshold.
- When workers were observed for only 4 periods, an additional 4 workers were needed to maintain precision.
- An unbalanced observation strategy (approx. 8 periods/worker) minimally impacted group mean precision.
Implications:
- The number of workers observed and the number of measurements per worker significantly influence the precision of group-based mean exposure.
- Measurement strategies should proactively consider potential variance sources and assess exposure variability for accurate risk assessment.
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