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Statistical precision of categorical PATH observations of trunk posture
University of Gävle, Faculty of Health and Occupational Studies, Department of Occupational and Public Health Sciences, CBF. University of Gävle, Centre for Musculoskeletal Research.ORCID iD: 0000-0003-2939-0236
Department of Work Environment, University of Massachusetts Lowell.
University of Gävle, Faculty of Health and Occupational Studies, Department of Occupational and Public Health Sciences, CBF. University of Gävle, Centre for Musculoskeletal Research.ORCID iD: 0000-0003-1443-6211
2012 (English)In: Work: A journal of Prevention, Assessment and rehabilitation, ISSN 1051-9815, E-ISSN 1875-9270, Vol. 41, no Suppl. 1, p. 5519-5521Article in journal (Refereed) Published
Abstract [en]

Background: Field studies assessing biomechanical occupational exposures frequently utilize direct observation. PATH (Postures, Activities, Tools, and Handling) is a tool for systematically observing occupational exposures during non-cyclic or long, irregular-cycle jobs. While PATH has been used in many studies, its statistical performance under different data collection strategies has not yet been investigated. The purpose of the current study was to examine this issue. Methods: Data from labourers performing the four tasks comprising a ‘Jacking Pit Construction’ operation was extracted from a previously collected data set. Using a probability based re-sampling bootstrap approach, categorical trunk posture exposure data was compared across nine simulated data collection strategies. Results/Conclusion: At the operational level, dispersion curves showed consistent trends of increased precision with increased sizes of the data set and curves tended to intersect at the expected value seen in the parent data set. At the task level, curves did not always follow the predicted pattern, highlighting the potential pitfalls of using PATH for infrequent tasks and the striking effect that individual workers can have on group exposure estimates of such tasks.

Place, publisher, year, edition, pages
2012. Vol. 41, no Suppl. 1, p. 5519-5521
Keywords [en]
Work related MSD, exposure assessment, manual materials handling, statistical efficiency, measurement strategies
National Category
Occupational Health and Environmental Health
Identifiers
URN: urn:nbn:se:hig:diva-11542DOI: 10.3233/wor-2012-0868-5519ISI: 000306361805132PubMedID: 22317601Scopus ID: 2-s2.0-84859820564OAI: oai:DiVA.org:hig-11542DiVA, id: diva2:505292
Available from: 2012-02-23 Created: 2012-02-23 Last updated: 2020-06-05Bibliographically approved

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Jackson, JennieMathiassen, Svend Erik

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