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Predicting of pain, disability, and sick leave regarding a non-clinical sample among Swedish nurses
Uppsala University.
Uppsala University.
Mälardalen University, School of Health, Care and Social Welfare.ORCID iD: 0000-0002-5064-8820
2010 (English)In: Scandinavian Journal of Pain, ISSN 1877-8860, E-ISSN 1877-8879, Vol. 1, no 3, 160-166 p.Article in journal (Refereed) Published
Abstract [en]

Objectives: Health care providers, especially registered nurses (RNs), are a professional group with a high risk of musculoskeletal pain (MSP). This longitudinal study contributes to the literature by describing the prevalence and change in MSP, work-related factors, personal factors, self-reported pain, disability and sick leave (>7 days) among RNs working in a Swedish hospital over a 3-year period. Further, results concerning prediction of pain, disability and sick leave from baseline to a 3-year follow-up are reported. Method: In 2003, a convenience sample of 278 RNs (97.5% women, mean age 43 years) completed a questionnaire. In 2006, 244 RNs (88% of the original sample) were located, and 200 (82%) of these completed a second questionnaire. Results: Logistic regression analyses revealed that pain, disability and sick leave at baseline best predicted pain, disability, and sick leave at follow-up. The personal factors self-rated health and sleep quality during the last week predicted pain at follow-up, while age, self-rated health, and considering yourself as optimist or pessimist predicted disability at follow-up, however weakly. None of the work-related factors contributed significantly to the regression solution. Conclusions: The results support earlier studies showing that a history of pain and disability is predictive of future pain and disability. Attention to individual factors such as personal values may be needed in further research. 

Place, publisher, year, edition, pages
2010. Vol. 1, no 3, 160-166 p.
Keyword [en]
Disability, Musculoskeletal pain, Personal factors, Registered nurses, Sickness absence, Work-related factors, analgesic agent, article, backache, female, follow up, health, hospital, human, longitudinal study, low back pain, major clinical study, male, marriage, medical leave, neck pain, nurse, priority journal, questionnaire, self report, shoulder pain, sleep
National Category
Medical and Health Sciences
Identifiers
URN: urn:nbn:se:mdh:diva-20509DOI: 10.1016/j.sjpain.2010.05.029Scopus ID: 2-s2.0-77955045230OAI: oai:DiVA.org:mdh-20509DiVA: diva2:638520
Available from: 2013-07-30 Created: 2013-07-30 Last updated: 2017-12-06Bibliographically approved

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Denison, Eva

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