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Variability in risk factors for knee injury in construction
Sangwoo Tak1, Victor Paquet, Susan Woskie
1Department of Work Environment, University of Massachusetts Lowell, Lowell, Massachusetts, USA. stak@cdc.gov
Assessing knee pain risk factors in construction requires multiple days of observation due to high variability. Construction tasks and operations explain only 20-30% of exposure variance, highlighting the need for detailed, time-sensitive exposure assessments.
Area of Science:
- Occupational health
- Ergonomics
- Construction safety
Background:
- Knee pain is a common issue in construction trades.
- Understanding exposure to risk factors like kneeling, squatting, and load carrying is crucial for prevention.
- Previous studies may not have fully captured the variability in these exposures.
Purpose of the Study:
- To investigate the sources of variance in exposure to risk factors for knee pain among highway construction workers.
- To quantify the contributions of trade, operation, task, and individual worker to exposure variability.
- To inform the design of more accurate exposure assessment strategies for epidemiological and intervention studies.
Main Methods:
- Conducted over 15,000 discrete observations of leg postures and weights handled.
- Included 120 construction workers across five trades, nine operations, and 79 days.
- Utilized multilevel random effects models to analyze sources of variance.
Main Results:
- Construction operations and tasks explained 20% to 30% of the total variation in kneeling, squatting, and carrying loads.
- A significant unexplained component of variance suggests substantial day-to-day variability within tasks.
- Homogeneous exposure groups were difficult to define based on standard work organization.
Conclusions:
- Reliable assessment of knee exposure in construction necessitates multiple observation days to account for high intra-task and inter-task variability.
- Current organizational features of construction work do not easily define homogenous exposure groups.
- Future epidemiological and intervention studies must carefully consider these sources of variability for accurate exposure estimation.
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