Evidence map›Paper›PMID 28488112›Full record

ArticleInternational archives of occupational and environmental health2017

Work characteristics predict the development of multi-site musculoskeletal pain.

Jodi Oakman, Astrid de Wind, Swenne G van den Heuvel, Allard J van der Beek

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in International archives of occupational and environmental health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
2.7field-weighted citation impact, top 11% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 39 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. First evidence on ergonomic exposures and musculoskeletal pain among the Faroese workforce.International archives of occupational and environmental health · 2026
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  9. The Correlation of Frequency of Work-Related Disorders with Type of Work among Polish Employees.International journal of environmental research and public health · 2023
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  16. Musculoskeletal pain among offshore wind industry workers: a cross-sectional study.International archives of occupational and environmental health · 2020
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  17. Recurrent pain and work disability: a record linkage study.International archives of occupational and environmental health · 2020
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  18. Poor Sleep Is a Risk Factor for Low-Back Pain among Healthcare Workers: Prospective Cohort Study.International journal of environmental research and public health · 2020
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 2 countries.

Jodi OakmanSchool of Psychology and Public Health, Centre for Ergonomics and Human Factors, College of Science, Health and Engineering, La Trobe University, Bundoora, VIC, 3086, Australia. j.oakman@latrobe.edu.au.ORCID http://orcid.org/0000-0002-0484-8442
Astrid de WindDepartment of Public and Occupational Health, EMGO+ Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands.
Swenne G van den HeuvelNetherlands Organisation for Applied Scientific Research TNO, Leiden, The Netherlands.
Allard J van der BeekDepartment of Public and Occupational Health, EMGO+ Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands.
Amsterdam Public Health · NLLa Trobe University · AUNetherlands Organisation for Applied Scientific Research · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMusculoskeletal pain in more than one body region is common and a barrier to sustaining employment. We aimed to examine whether work characteristics predict the development of multi-site pain (MSP), and to determine differences in work-related predictors between age groups.

methodsThis study is based on 5136 employees from the Study on Transitions in Employment, Ability and Motivation (STREAM) who reported no MSP at baseline. Measures included physical, emotional, mental, and psychological job demands, social support and autonomy. Predictors of MSP were studied by logistic regression analyses. Univariate and multivariate analyses with age stratification (45-49, 50-54, 55-59, and 60-64 years) were done to explore differences between age groups.

resultsAll work characteristics with the exception of autonomy were predictive of the development of MSP, with odds ratios varying from 1.21 (95% CI 1.04-1.40) for mental job demands to 1.63 (95% CI 1.43-1.86) for physical job demands. No clear pattern of age-related differences in the predictors of MSP emerged, with the exception of social support, which was predictive of MSP developing in all age groups except for the age group 60-64 years.

conclusionsAdverse physical and psychosocial work characteristics are associated with MSP. Organisations need to comprehensively assess work environments to ensure that all relevant workplace hazards, physical and psychosocial, are identified and then controlled for across all age groups.

Indexed as

AgingAge FactorsEmotionsFemaleHumansMaleMental HealthMiddle AgedMusculoskeletal PainOccupational DiseasesOccupationsOdds RatioPersonal AutonomyRisk FactorsSex FactorsSocial SupportAgeingMulti-site painMusculoskeletal disordersPhysical hazardsPsychosocial hazards

Identifiers

PMID28488112
OpenAlexW2613492172

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.