The role of assessment of biomechanical exposure at the workplace in the prevention of musculoskeletal disorders

Burdorf, Alex

doi:10.5271/sjweh.2882

Cited by 42 publications

(28 citation statements)

References 14 publications

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“…Previous studies have suggested that the minimum number of categories should be between five to seven, and that up to seven the reliability of the measure increases (39). A self-administered questionnaire is still the most widely used method for assessing physical workload (40).…”

Section: Haukka Et Almentioning

confidence: 99%

Predictors of sickness absence related to musculoskeletal pain: a two-year follow-up study of workers in municipal kitchens

Haukka¹,

Kaila-Kangas²,

Luukkonen³

et al. 2014

Scand J Work Environ Health

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Predictors of sickness absence related to musculoskeletal pain: a two-year follow-up study of workers in municipal kitchens by Haukka E, Kaila-Kangas L, Luukkonen R, Takala E-P, Viikari-Juntura E, Leino-Arjas P We identified three distinct trajectories of sickness absence (SA) due to musculoskeletal pain among female kitchen workers during two years. Depressive symptoms, musculoskeletal diseases, and multisite pain predicted belonging to a trajectory of high and increasing SA, while multisite pain, smoking, and overweight or obesity predicted belonging to a trajectory of intermediate occurrence of SA. Original article Scand J Work Environ Health. 2014;40(3):278-286. doi:10.5271/sjweh.3415 Predictors of sickness absence related to musculoskeletal pain: a two-year follow-up study of workers in municipal kitchens Haukka E, Kaila-Kangas L, Luukkonen R, Takala E-P, Viikari-Juntura E, Leino-Arjas P. Predictors of sickness absence related to musculoskeletal pain: a two-year follow-up study of workers in municipal kitchens. Scand J Work Environ Health. 2014;40(3):278-286. doi:10.5271/sjweh.3415 AffiliationObjective We studied predictors of sickness absences (SA) due to musculoskeletal pain over two years among 386 municipal female kitchen workers.Methods Pain and SA periods (no/yes) due to pain in seven sites during the past three months were assessed at 3-month intervals over two years by questionnaire. Age, musculoskeletal pain, multisite pain (pain in ≥3 sites), musculoskeletal and other somatic diseases, depressive symptoms, physical and psychosocial workload, body mass index, smoking, and leisure-time physical activity (LTPA) at baseline were considered as predictors. Trajectory analysis and multinomial logistic regression were used.Results Three trajectories of SA emerged, labelled as "none" (41% of the subjects), "intermediate" (48%), and "high" (11%). With the "none" trajectory (no SA) as reference, pain in all musculoskeletal sites excepting the low back predicted belonging to the "intermediate" [odds ratio (OR) 1.82-2.48] or "high" (OR 2.56-3.74) trajectory adjusted for age; multisite pain predicted membership of the "intermediate" [OR 2.15, 95% confidence interval (95% CI) 1.38-3.34] or "high" (OR 4.66, 95% CI 2.10-10.3) trajectories. In a mutually adjusted final model, smoking (OR 2.12, 95% CI 1.22-3.69), multisite pain (OR 1.87, 95% CI 1.15-3.02), and overweight/obesity (OR 1.71, 95% CI 1.08-2.72) predicted belonging to the "intermediate" trajectory, while depressive symptoms (OR 3.57, 95% CI 1.57-8.10), musculoskeletal diseases (OR 3.18, 95% CI 1.37-7.37), and multisite pain (OR 2.72, 95% CI 1.15-6.40) were associated with the "high" trajectory. ConclusionAlong with the number of pain sites and musculoskeletal diseases, attention to depressive symptoms, smoking, and overweight/obesity is needed to tackle SA related to musculoskeletal pain.

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Section: Haukka Et Almentioning

confidence: 99%

Predictors of sickness absence related to musculoskeletal pain: a two-year follow-up study of workers in municipal kitchens

Haukka¹,

Kaila-Kangas²,

Luukkonen³

et al. 2014

Scand J Work Environ Health

View full text Add to dashboard Cite

show abstract

“…However, it has been suggested that these estimates may be inaccurate because of the crude categorical scales (e.g. low, medium, high) often used (Spielholz et al 2001, Burdorf 2010, among other reasons. Although there are appropriate methods to analyse these ordinal scales (Svensson 2001), categorisation is highly dependent upon a number of factors (e.g.…”

Section: Summary Of Findings and Interpretationmentioning

confidence: 99%

“…upper arm flexion and neck flexion), high forces or a combination of these factors are associated with neck and shoulder pain (Palmer and Smedley 2007, Coˆte´et al 2008, van Rijn et al 2010). An important issue when assessing physical risk factors for MSP in epidemiological research and ergonomic practice is to choose an appropriate method of measurement (David 2005, Burdorf 2010). Work-related risk factors can be assessed by self-reports, observations (i.e.…”

Section: Introductionmentioning

confidence: 99%

Work-site musculoskeletal pain risk estimates by trained observers – a prospective cohort study

et al. 2012

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“…Therefore, valid and reliable low-back load assessment methods that can be applied in field settings are needed. Three types of measurement methods can be adopted: self-reports, observational techniques and direct measurement techniques (Burdorf, 2010;David, 2005). Although self-reports are highly efficient, they are assumed to be less reliable than observational techniques and direct measurements (Balogh et al, 2004;Hansson et al, 2001).…”

Section: Introductionmentioning

confidence: 99%

Inter-rater reliability of a video-analysis method measuring low-back load in a field situation

et al. 2013

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a b s t r a c tValid and reliable low-back load assessment tools that can be used in field situations are needed for epidemiologic studies and for ergonomic practice. The aim of this study was to assess the inter-rater reliability of a low-back load video-analysis method in a field setting.Five raters analyzed 50 work site manual material handling tasks of 14 workers. Peak and mean moments at the level of L5S1, and segment angles were obtained using the video-analysis method. Intraclass correlation coefficients (ICCs) and median standard deviations across raters were calculated.ICCs revealed excellent inter-rater reliability (>0.9) for peak and mean moments, ICCs of segment angles were variable. Median standard deviations showed relatively small inter-rater variance for moments (standard deviation <10 Nm) and segment angle variation ranging from 0 to 20 . The proposed video-analysis method, provides a reliable tool for obtaining low-back loads from occupational field tasks.

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The role of assessment of biomechanical exposure at the workplace in the prevention of musculoskeletal disorders

Cited by 42 publications

References 14 publications

Predictors of sickness absence related to musculoskeletal pain: a two-year follow-up study of workers in municipal kitchens

Predictors of sickness absence related to musculoskeletal pain: a two-year follow-up study of workers in municipal kitchens

Work-site musculoskeletal pain risk estimates by trained observers – a prospective cohort study

Inter-rater reliability of a video-analysis method measuring low-back load in a field situation

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