To Örebro University

oru.seÖrebro University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
The Örebro Musculoskeletal Pain Screening Questionnaire-Short Form and 2-year follow-up of registered work disability
Research Unit of Population Health, University of Oulu, Oulu, Finland; Medical Research Center Oulu, University of Oulu and Oulu University Hospital, Oulu, Finland; Wellbeing Services, County of Lapland, Rovaniemi, Finland.
Medical Research Center Oulu, University of Oulu and Oulu University Hospital, Oulu, Finland; Research Unit of Health Sciences and Technology, University of Oulu, Oulu, Finland.
Research Unit of Population Health, University of Oulu, Oulu, Finland; Medical Research Center Oulu, University of Oulu and Oulu University Hospital, Oulu, Finland.
Research Unit of Population Health, University of Oulu, Oulu, Finland.
Show others and affiliations
2023 (English)In: European Journal of Public Health, ISSN 1101-1262, E-ISSN 1464-360X, Vol. 33, no 3, p. 442-447Article in journal (Refereed) Published
Abstract [en]

BACKGROUND: The Örebro Musculoskeletal Pain Screening Questionnaire (ÖMPSQ) was developed to identify psychological and functioning-related risk factors among individuals with musculoskeletal pain at risk of work disability. This study aimed to examine whether the short version of the ÖMPSQ (ÖMPSQ-SF) can be used for this purpose, using registry-based outcomes.

METHODS: The ÖMPSQ-SF was completed by the members of the Northern Finland Birth Cohort 1966 at the age of 46 years (baseline). These data were enriched with national registers, including information on sick leaves and disability pensions (indicators of work disability). The associations between the ÖMPSQ-SF categories (low-, medium- and high risk) and work disability over a 2-year follow-up were analysed using negative binomial regression and binary logistic regression models. We made adjustments for sex, baseline education level, weight status and smoking.

RESULTS: Overall, 4063 participants provided full data. Of these, 90% belonged to the low-risk, 7% to the medium-risk and 3% to the high-risk group. Compared to the low-risk group, the high-risk group had a 7.5 [Wald 95% confidence interval (CI) 6.2-9.0] times higher number of sick leave days and 16.1 (95% CI 7.1-36.8) times higher odds of disability pension after adjustments in the 2-year follow-up.

CONCLUSIONS: Our study suggests that the ÖMPSQ-SF could be used for predicting registry-based work disability at midlife. Those allocated to the high-risk group seemed to have a particularly great need of early interventions to support their work ability.

Place, publisher, year, edition, pages
Oxford University Press, 2023. Vol. 33, no 3, p. 442-447
National Category
Occupational Health and Environmental Health
Identifiers
URN: urn:nbn:se:oru:diva-105967DOI: 10.1093/eurpub/ckad079ISI: 000987197200001PubMedID: 37192056Scopus ID: 2-s2.0-85163089831OAI: oai:DiVA.org:oru-105967DiVA, id: diva2:1757606
Available from: 2023-05-17 Created: 2023-05-17 Last updated: 2023-12-08Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textPubMedScopus

Authority records

Linton, Steven J.

Search in DiVA

By author/editor
Linton, Steven J.
By organisation
School of Behavioural, Social and Legal Sciences
In the same journal
European Journal of Public Health
Occupational Health and Environmental Health

Search outside of DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 45 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf