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Musculoskeletal pain in primary health care: subgroups based on pain intensity, disability, self-efficacy, and fear-avoidance variables
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Public Health and Caring Sciences, Caring Sciences.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Public Health and Caring Sciences, Caring Sciences.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Public Health and Caring Sciences, Caring Sciences.
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Public Health and Caring Sciences, Caring Sciences.
2007 (English)In: Journal of Pain, ISSN 1526-5900, E-ISSN 1528-8447, Vol. 8, no 1, 67-74 p.Article in journal (Refereed) Published
Abstract [en]

The purpose of this study was to identify and describe subgroup profiles based on self-reported pain intensity, disability, self-efficacy, fear of movement/(re)injury, and catastrophizing in patients with musculoskeletal pain. Two primary health care samples (n = 215 and n = 161) were used. Self-report questionnaires were completed at the start of physical therapy treatment. Cluster analysis was used to generate subgroups. Three subgroups were identified in sample 1 and replicated in sample 2. These were labeled "High self-efficacy-Low fear-avoidance," "Low self-efficacy-Low fear-avoidance," and "Low self-efficacy-High fear-avoidance." The subgroups differed significantly in work-status in both samples (P < .001), but not in age, gender, or duration of pain. The results show the presence of subgroups based on pain intensity, disability, self-efficacy, fear of movement/(re)injury, and catastrophizing. The profile patterns suggest that different management strategies may be relevant in each subgroup.

Perspective

 This article presents subgroups of patients with musculoskeletal pain with different profiles in pain intensity, disability, and psychosocial variables possible to modify by physical therapy management. The results could potentially aid clinicians in tailoring assessment and treatment approaches to each subgroup.

Place, publisher, year, edition, pages
2007. Vol. 8, no 1, 67-74 p.
Keyword [en]
Pain, classification, cluster analysis, primary health care, physical therapy
National Category
Medical and Health Sciences
Identifiers
URN: urn:nbn:se:uu:diva-22698DOI: 10.1016/j.jpain.2006.06.007ISI: 000244025700008PubMedID: 16950657OAI: oai:DiVA.org:uu-22698DiVA: diva2:50471
Available from: 2007-01-19 Created: 2007-01-19 Last updated: 2017-12-07Bibliographically approved

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Denison, EvaÅsenlöf, PernillaSandborgh, MariaLindberg, Per

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