Literature DB >> 20385661

Upper arm postures and movements in female hairdressers across four full working days.

Jens Wahlström1, Svend Erik Mathiassen, Per Liv, Pernilla Hedlund, Christina Ahlgren, Mikael Forsman.   

Abstract

OBJECTIVES: To describe upper arm postures and movements among female hairdressers, including the variability between hairdressers, between days within hairdresser, and between tasks, as a basis for understanding the characteristics of exposures in the job, considering possible sources of variation and recovery, and discussing appropriate exposure assessment strategies.
METHODS: Data on upper arm postures were collected using inclinometers during four working days the same week from 28 female hairdressers working in 13 salons. Twenty of the hairdressers noted customer on and off times in a diary, to allow separate analyses of customer tasks (CT) and auxiliary non-customer tasks (AT), including breaks. For a number of posture and movement variables, mean values and variance components between subjects (BS) and within subjects between days (BD) were estimated using restricted maximum likelihood algorithms in one-way random effect models.
RESULTS: For the 20 hairdressers with diaries, CT accounted for 279 min (58%) (SD(BS) = 39 min and SD(BD) = 85 min) of the working day and AT and breaks for 207 min (42%) (SD(BS) = 46 min and SD(BD) = 88 min). The hairdressers worked with the right arm elevated >60 degrees for 6.8% of the whole job (SD(BS) = 2.8% and SD(BD) = 2.0%). On average, the hairdressers worked with the right arm elevated >60 degrees for 9.0% of the time during CT, compared to 3.7% during AT, resulting in a contrast between tasks of 0.35.
CONCLUSIONS: Hairdressers may be at risk for developing musculoskeletal disorders in the neck and shoulders due to a considerable occurrence of highly elevated arms, especially during CT. On the other hand, we do not find reasons to classify hairdressing as a job with too little variation. Posture variability between days within hairdressers was in the same order of magnitude as that between hairdressers, suggesting that 'typical' workdays do not exist. The exposure contrast between CT and AT for variables describing elevated arm postures indicates that for these variables a simple task-based approach for estimating job exposure could be successful.

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Year:  2010        PMID: 20385661     DOI: 10.1093/annhyg/meq028

Source DB:  PubMed          Journal:  Ann Occup Hyg        ISSN: 0003-4878


  16 in total

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2.  Bias and imprecision in posture percentile variables estimated from short exposure samples.

Authors:  Svend Erik Mathiassen; Jens Wahlström; Mikael Forsman
Journal:  BMC Med Res Methodol       Date:  2012-03-25       Impact factor: 4.615

3.  Accuracy and repeatability of an inertial measurement unit system for field-based occupational studies.

Authors:  Mark C Schall; Nathan B Fethke; Howard Chen; Sakiko Oyama; David I Douphrate
Journal:  Ergonomics       Date:  2015-10-07       Impact factor: 2.561

4.  Optimizing cost-efficiency in mean exposure assessment--cost functions reconsidered.

Authors:  Svend Erik Mathiassen; Kristian Bolin
Journal:  BMC Med Res Methodol       Date:  2011-05-21       Impact factor: 4.615

5.  Accuracy and precision of variance components in occupational posture recordings: a simulation study of different data collection strategies.

Authors:  Per Liv; Svend Erik Mathiassen; Susanne Wulff Svendsen
Journal:  BMC Med Res Methodol       Date:  2012-06-18       Impact factor: 4.615

6.  Comparing upper arm and trunk kinematics between manufacturing workers performing predominantly cyclic and non-cyclic work tasks.

Authors:  Mark C Schall; Xuanxuan Zhang; Howard Chen; Sean Gallagher; Nathan B Fethke
Journal:  Appl Ergon       Date:  2021-01-14       Impact factor: 3.940

7.  Statistical performance of observational work sampling for assessment of categorical exposure variables: a simulation approach illustrated using PATH data.

Authors:  Svend Erik Mathiassen; Jennie A Jackson; Laura Punnett
Journal:  Ann Occup Hyg       Date:  2013-12-18

8.  Data processing costs for three posture assessment methods.

Authors:  Catherine Trask; Svend Erik Mathiassen; Jennie Jackson; Jens Wahlström
Journal:  BMC Med Res Methodol       Date:  2013-10-12       Impact factor: 4.615

9.  Cluster-based exposure variation analysis.

Authors:  Afshin Samani; Svend Erik Mathiassen; Pascal Madeleine
Journal:  BMC Med Res Methodol       Date:  2013-04-04       Impact factor: 4.615

10.  Physical activities at work and risk of musculoskeletal pain and its consequences: protocol for a study with objective field measures among blue-collar workers.

Authors:  Marie Birk Jørgensen; Mette Korshøj; Julie Lagersted-Olsen; Morten Villumsen; Ole Steen Mortensen; Jørgen Skotte; Karen Søgaard; Pascal Madeleine; Birthe Lykke Thomsen; Andreas Holtermann
Journal:  BMC Musculoskelet Disord       Date:  2013-07-20       Impact factor: 2.362

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