Evidence map›Paper›PMID 28417255›Full record

ArticleInternational archives of occupational and environmental health2017

Lower limb pain among workers: a cross-sectional analysis of the fifth European Working Conditions Survey.

Maria-Gabriela Garcia, Margaret Graf, Thomas Läubli

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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. An erratum has been issued. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Maria-Gabriela GarciaSensory-Motor Systems Lab, Department of Health Sciences and Technology, ETH Zürich, Sonneggstrasse 3, ML G53.2, 8092, Zurich, Switzerland. gabriela.garcia@hest.ethz.ch.ORCID http://orcid.org/0000-0002-5666-2156
Margaret GrafState Secretariat of Economic Affairs SECO, Bern, Switzerland.
Thomas LäubliSensory-Motor Systems Lab, Department of Health Sciences and Technology, ETH Zürich, Sonneggstrasse 3, ML G53.2, 8092, Zurich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDevelop a model to predict the prevalence of lower limb pain using indicators of high workplace exposures based on the fifth European Working Conditions Survey, evaluate its impact and explore its significance for work-related health problems.

methodCross-sectional interview data of 35,372 workers from 27 countries of the European Union in 2010 (EU27) were used to develop (20% sample) and validate (80% sample) a logistic regression model for lower limb pain. Independent variables included descriptions of working conditions, assessments of physical and psychosocial exposures at work, and demographic factors. The impact of the model was explored through the amount of lower limb pain cases attributable to work and estimating work absences correlated with lower limb pain.

resultsThe resulting logistic model included ten risks indicators and one preventive factor. The highest odds ratios (OR) corresponded to "tiring or painful positions" OR 2.0, 99% confidence interval (99% CI) 1.9-2.2, and "not satisfied with level of working conditions in the job" (OR 1.6, 99% CI 1.5-1.7). The prevalence of work-related lower limb pain was 16.5% for men and 15.8% for women for the 27 countries of the European Union. Estimates based on the developed model revealed more than 34 million cases of work-related lower limb pain, where four physical risks explained about 22 million cases. In addition, more than 3 million days of absence from work in 2010 could be attributed to lower limb pain.

conclusionLower limb pain is highly prevalent among the European workforce and work exposures are a major contributing factor. Effective workplace interventions should aim at improving working conditions at workplaces with multiple risks.

Indexed as

Lower ExtremityAdultAge DistributionCross-Sectional StudiesCumulative Trauma DisordersEnvironmentEuropeFemaleHealth SurveysHot TemperatureHumansJob SatisfactionLogistic ModelsMaleMiddle AgedOccupational DiseasesExposureLower limbMusculoskeletal disordersPrevalenceRisk indicatorWork-related

Identifiers

PMID28417255
PMCPMC5934451

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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.