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Predictors of chronic pain intensity, spread, and sensitivity in the general population: A two-year follow-up study from the SWEPAIN cohort
Linköping University, Department of Medical and Health Sciences, Division of Community Medicine. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Anaesthetics, Operations and Specialty Surgery Center, Pain and Rehabilitation Center.
Linköping University, Department of Medical and Health Sciences, Division of Community Medicine. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Anaesthetics, Operations and Specialty Surgery Center, Pain and Rehabilitation Center.ORCID iD: 0000-0001-9019-4125
Health Metrics, University of Gothenburg, Gothenburg, Sweden.
Linköping University, Department of Medical and Health Sciences, Division of Community Medicine. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Anaesthetics, Operations and Specialty Surgery Center, Pain and Rehabilitation Center.
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2019 (English)In: Journal of Rehabilitation Medicine, ISSN 1650-1977, E-ISSN 1651-2081, Vol. 51, no 3, p. 183-192Article in journal (Refereed) Published
Abstract [en]

Objective: To determine whether the intensity, spread and sensitivity of chronic pain can be predicted using demographic features, socioeconomic conditions and comorbidities.

Design: A longitudinal study design was employed. Data was collected at baseline and at 2-year follow-up. Setting: General population in south-eastern Sweden.

Subjects: A representative stratified random sample of 34,000 individuals, between 18 and 85 years of age, selected from a sampling frame of 404,661 individuals based on the Swedish Total Population Register.

Methods: Eligible individuals were sent postal surveys in 2013 and 2015. The 2 surveys included the same questions about basic demographic data, comorbidities, and chronic pain intensity, spread and sensitivity.

Results: Several socio-demographic features and comorbidities at baseline were significant predictors of characteristics of pain (intensity, spread and sensitivity) at the 2-year follow-up. When characteristics of pain at baseline were included in the regression analyses they were relatively strong significant predictors of characteristics of pain after 2 years. After this adjustment there were fewer socio-demographic and comorbidity predictors; the effect estimates for those significant predictors had decreased.

Conclusion: Clinical assessment should focus on several characteristics of pain and include a broad medical screening to capture the overall burden of pain in adults from a longitudinal perspective.

Place, publisher, year, edition, pages
Uppsala, Sweden: Foundation for Rehabilitation Information , 2019. Vol. 51, no 3, p. 183-192
Keywords [en]
general population; follow-up; chronic pain characteristics; sociodemographic; comorbidities
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General Practice
Identifiers
URN: urn:nbn:se:liu:diva-155547DOI: 10.2340/16501977-2519ISI: 000460419000005PubMedID: 30815707Scopus ID: 2-s2.0-85062877324OAI: oai:DiVA.org:liu-155547DiVA, id: diva2:1299393
Note

Funding Agencies|Swedish Pain Foundation; Linkoping University; Medical Research Council of Southeast Sweden

Available from: 2019-03-26 Created: 2019-03-26 Last updated: 2019-06-27Bibliographically approved

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Larsson, BrittDragioti, ElenaGerdle, Björn

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