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  • 1.
    Nilsson, Annika
    et al.
    University of Gävle, Faculty of Health and Occupational Studies, Department of Health and Caring Sciences, Nursing science. Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden.
    Lindberg, Per
    Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden.
    Denison, Eva
    Department of Caring and Public Health Sciences, Mälardalen University, Västerås, Sweden; Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden.
    Predicting of pain, disability, and sick leave regarding a non-clinical sample among Swedish nurses2010In: Scandinavian Journal of Pain, ISSN 1877-8860, E-ISSN 1877-8879, Vol. 1, no 3, p. 160-166Article in journal (Refereed)
    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 three-year period. Further, results concerning prediction of pain, disability and sick leave from baseline to a three-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 one 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. 

  • 2.
    Wiitavaara, Birgitta
    et al.
    University of Gävle, Faculty of Health and Occupational Studies, Department of Occupational Health Science and Psychology, Occupational Health Science. University of Gävle, Centre for Musculoskeletal Research.
    Rissén, Dag
    Centre for Research & Development, Uppsala University/Region Gävleborg, Gävle, Sweden..
    Nilsson, Annika
    University of Gävle, Faculty of Health and Occupational Studies, Department of Caring Science, Caring Science.
    Demographic and clinical factors associated with psychological wellbeing in people with chronic, non-specific musculoskeletal pain engaged in multimodal rehabilitation:– A cross-sectional study with a correlational design2023In: Scandinavian Journal of Pain, ISSN 1877-8860, E-ISSN 1877-8879, Vol. 23, no 4, p. 705-711Article in journal (Refereed)
    Abstract [en]

    Objectives

    To investigate which demographic and clinical factors were associated with psychological wellbeing in working-aged people in multimodal rehabilitation for musculoskeletal disorders.

    Methods

    116 participants met the criteria for inclusion: persistent or intermittent pain for at least three months; pain that adversely impacts daily life; potential for active change despite pain; no co-morbidity or condition that will hinder participation in the rehabilitation program. Primary outcome was psychological wellbeing and independent measures were general, physical and mental health, pain intensity, limitations in daily life, depression and sleep.

    Results

    The results show decreased odds of psychological wellbeing for persons rating high on depression. The results remained significant after adjusting for sex and age. Being a woman increased the odds of high psychological wellbeing. Logistic regression showed that psychological wellbeing was not significantly associated with pain intensity; sleep; functional limitations; general, physical, or mental health. None of the other independent variables was significantly associated with high vs. low psychological wellbeing.

    Conclusions

    Depression turned out to be significantly related to psychological wellbeing, contrary to pain and limitations in daily life. If further studies with larger, random samples can confirm these results, this knowledge may be important both in clinical settings and in future research.

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