Evidence map›Paper›PMID 39134443›Full record

ArticleBMJ open2024

Identifying pain profiles in employees including work-related factors and pain perceptions: a cross-sectional study in Belgian companies.

Stijn Keyaerts, Lode Godderis, Vero Vanden Abeele, Liesbeth Daenen

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Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Stijn KeyaertsDepartment of Public Health and Primary Care, KU Leuven, Leuven, Belgium stijn.keyaerts@idewe.be.ORCID 0000-0001-6431-092X
Lode GodderisDepartment of Public Health and Primary Care, KU Leuven, Leuven, Belgium.
Vero Vanden AbeeleDepartment of Computer Science, KU Leuven, Leuven, Belgium.
Liesbeth DaenenDepartment of Public Health and Primary Care, KU Leuven, Leuven, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesStudies usually investigate a limited number or a predefined combinations of risk factors for sickness absence in employees with pain. We examined frequently occurring combinations across a wide range of work-related factors and pain perceptions.

designCross-sectional study.

settingBelgian companies that are under supervision of IDEWE, an external service for prevention and protection at work.

participantsIn total, 249 employees experiencing pain for at least 6 weeks were included and filled out an online survey. OUTCOMES: Latent profile analysis was used to differentiate profiles of work-related factors (physical demands, workload, social support and autonomy) and pain perceptions (catastrophising, fear-avoidance beliefs and pain acceptance). Subsequently, profiles were compared on sociodemographics (age, gender, level of education, work arrangement, duration of complaints, multisite pain and sickness absence in the previous year) and predictors of sickness absence (behavioural intention and perceived behavioural control).

resultsFour profiles were identified. Profile 1 (38.2%) had favourable scores and profile 4 (14.9%) unfavourable scores across all indicators. Profile 2 (33.3%) had relatively high physical demands, moderate autonomy levels and favourable scores on the other indicators. Profile 3 (13.7%) showed relatively low physical demands, moderate autonomy levels, but unfavourable scores on the other indicators. Predictors of profiles were age (OR 0.93 and 95% CI (0.89 to 0.98)), level of education (OR 0.28 and 95% CI (0.1 to 0.79)) and duration of sickness absence in the previous year (OR 2.29 and 95% CI (0.89 to 5.88)). Significant differences were observed in behavioural intention (χ

conclusionThis study highlights the significance of considering the interplay between work-related factors and pain perceptions in employees. Unfavourable scores on a single work factor might not translate into maladaptive pain perceptions or subsequent sickness absence, if mitigating factors are in place. Special attention must be devoted to employees dealing with unfavourable working conditions along with maladaptive pain perceptions. In this context, social support emerges as an important factor influencing sickness absence.

Indexed as

WorkloadAdultBelgiumCross-Sectional StudiesFemaleHumansMaleMiddle AgedOccupational DiseasesPainPain PerceptionRisk FactorsSick LeaveSocial SupportSurveys and QuestionnairesWorkplaceChronic PainHealth WorkforceOCCUPATIONAL & INDUSTRIAL MEDICINESocial Support

Identifiers

PMID39134443
PMCPMC11331899

What OpenQuestion holds

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LicenceCC BY-NC
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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.