Evidence map›Paper›PMID 37773119›Full record

ArticleBMC public health2023

Work-related outcomes in individuals with and without lower limb osteoarthritis: an online survey.

Yousef S Alyousef, Venerina Johnston, Michelle D Smith

Abstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

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

5 citing papers in PubMed.

  1. Article
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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

3 authors.

Yousef S AlyousefThe University of Queensland, School of Health and Rehabilitation Sciences, Physiotherapy, Brisbane, QLD, Australia.
Venerina JohnstonCollege of Applied Medical Sciences, Majmaah University, Al Majmaah, Saudi Arabia.
Michelle D SmithCollege of Applied Medical Sciences, Majmaah University, Al Majmaah, Saudi Arabia. m.smith5@uq.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWhile osteoarthritis (OA) affects people who are still participating in the workforce, there is limited data about the impact of OA on work. The aim of this study was to compare work participation in individuals with and without lower limb OA.

methodsThis cross-sectional study included workers with (n = 124) and without (n = 106) lower limb OA. Work participation was assessed as work status (full/part time work), work ability (Work Ability Index (WAI)), absenteeism and presenteeism (World Health Organization's Health and Work Performance Questionnaire (WHO-HPQ)), and perceived difficulties meeting work demands (Work Role Functioning Questionnaire (WRFQ)). The data were analyzed using an analysis of covariance with age, body mass index and physical job demands included as covariates.

resultsWork ability was poorer (p < 0.001) and loss of work performance (p < 0.001) was higher among workers with OA than healthy controls. There was no statistical difference in absenteeism or overall ability to meet work demands between participants with and without lower limb OA. However, workers with lower limb OA had more difficulty with work scheduling demands (p = 0.05) and physical demands (p = 0.003) than healthy workers.

conclusionLower limb OA was associated with poorer work ability, loss of work performance and difficulty in meeting physical and work scheduling demands. Health professionals and employers should consider these challenges when managing individuals with lower limb OA and supporting them to remain in the workforce.

Indexed as

OsteoarthritisWork PerformanceAbsenteeismCross-Sectional StudiesEmploymentHumansSurveys and QuestionnairesAbsenteeismLower limbOsteoarthritisPresenteeismWork

Identifiers

PMID37773119
PMCPMC10540324

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.