Evidence map›Paper›PMID 34507585›Full record

ArticleBMC musculoskeletal disorders2021

Musculoskeletal pain intensity in different body regions and risk of disability pension among female eldercare workers: prospective cohort study with 11-year register follow-up.

Rúni Bláfoss, Jonas Vinstrup, Sebastian Venge Skovlund, Rubén López-Bueno, Joaquin Calatayud, Thomas Clausen, Lars Louis Andersen

Open access · goldAbstract read
In one paragraph

Article in BMC musculoskeletal disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.6field-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

11 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
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  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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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

7 authors at 4 institutions in 2 countries.

Rúni BláfossNational Research Centre for the Working Environment, Lersø Parkallé 105, 2100, Copenhagen, Denmark. rub@nfa.dk.
Jonas VinstrupNational Research Centre for the Working Environment, Lersø Parkallé 105, 2100, Copenhagen, Denmark.
Sebastian Venge SkovlundNational Research Centre for the Working Environment, Lersø Parkallé 105, 2100, Copenhagen, Denmark.
Rubén López-BuenoNational Research Centre for the Working Environment, Lersø Parkallé 105, 2100, Copenhagen, Denmark.
Joaquin CalatayudNational Research Centre for the Working Environment, Lersø Parkallé 105, 2100, Copenhagen, Denmark.
Thomas ClausenNational Research Centre for the Working Environment, Lersø Parkallé 105, 2100, Copenhagen, Denmark.
Lars Louis AndersenNational Research Centre for the Working Environment, Lersø Parkallé 105, 2100, Copenhagen, Denmark.
National Research Centre for the Working Environment · DKAalborg University · DKUniversidad de Zaragoza · ESUniversity of Southern Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMusculoskeletal pain is a risk factor for leaving the labour market temporarily and permanently. While the presence of multi-site pain increases the risk of disability pension, we lack detailed knowledge about pain intensity as a risk factor. This study investigated the association between musculoskeletal pain intensity in different body regions and risk of future disability pension among eldercare workers.

methodsEight thousand seven hundred thirty-one female eldercare workers replied to a questionnaire on work and health in 2005 and were followed for 11 years in the Danish Register for Evaluation of Marginalization. Time-to-event analyses estimated hazard ratios (HR) for disability pension from pain intensities (0-9 numeric rating scale (NRS)) in the low-back, neck/shoulders, and knees during the previous 3 months. Analyses were mutually adjusted for pain regions, age, education, lifestyle, psychosocial work factors, and physical exertion at work.

resultsDuring 11-year follow-up, 1035 (11.9%) of the eldercare workers received disability pension. For all body regions among all eldercare workers, dose-response associations were observed between higher pain intensity and risk of disability pension (p < 0.001). The risk for disability pension was increased when reporting "very high" pain levels (≥7 points on the 0-9 NRS) in the low-back (HR 2.19, 95% CI 1.70-2.82), neck/shoulders (HR 2.34, 95% CI 1.88-2.92), and knees (HR 1.89, 95% CI 1.44-2.47). Population attributable risks (PAR) were 15.5, 23.2, and 9.6% for pain > 2 on NRS in the low-back, neck/shoulders, and knees, respectively, indicating that 15.5, 23.2, and 9.6% fewer eldercare workers would likely receive disability pension if the pain intensity was reduced to 2 or less. For workers ≤45 years and > 45 years, PAR was highest for neck/shoulder pain (27.6%) and low-back pain (18.8%), respectively.

conclusionsThe present study found positive dose-response associations between pain intensity in the low-back, neck/shoulders, and knees, and risk of disability pension during 11-year follow-up. Moderate to very high levels of musculoskeletal pain in eldercare workers should, therefore, be considered an early warning sign of involuntary premature exit from the labour market. These findings underscore the importance of preventing, managing, and reducing musculoskeletal pain to ensure a long and healthy working life.

Indexed as

Musculoskeletal PainPersons with DisabilitiesFemaleFollow-Up StudiesHumansPensionsProspective StudiesRisk FactorsHealth personnelMusculoskeletal diseasesPensionsWork abilityWorking life

Identifiers

PMID34507585
PMCPMC8431848
OpenAlexW3196856949

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.