Predictors of chronic pain intensity, spread, and sensitivity in the general population: A two-year follow-up study from the SWEPAIN cohort

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 po...

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Main Authors: Britt Larsson (Author), Elena Dragioti (Author), Anna Grimby-Ekman (Author), Björn Gerdle (Author), Jonas Björk (Author)
Format: Book
Published: Medical Journals Sweden, 2019-02-01T00:00:00Z.
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042 |a dc 
100 1 0 |a Britt Larsson  |e author 
700 1 0 |a Elena Dragioti  |e author 
700 1 0 |a Anna Grimby-Ekman  |e author 
700 1 0 |a Björn Gerdle  |e author 
700 1 0 |a Jonas Björk  |e author 
245 0 0 |a Predictors of chronic pain intensity, spread, and sensitivity in the general population: A two-year follow-up study from the SWEPAIN cohort 
260 |b Medical Journals Sweden,   |c 2019-02-01T00:00:00Z. 
500 |a 1650-1977 
500 |a 1651-2081 
500 |a 10.2340/16501977-2519 
520 |a 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-demogra-phic 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. 
546 |a EN 
690 |a general population 
690 |a follow-up 
690 |a chronic pain characteristics 
690 |a sociodemographic 
690 |a comorbidities. 
690 |a Therapeutics. Pharmacology 
690 |a RM1-950 
655 7 |a article  |2 local 
786 0 |n Journal of Rehabilitation Medicine, Vol 51, Iss 3, Pp 183-192 (2019) 
787 0 |n  https://www.medicaljournals.se/jrm/content/html/10.2340/16501977-2519  
787 0 |n https://doaj.org/toc/1650-1977 
787 0 |n https://doaj.org/toc/1651-2081 
856 4 1 |u https://doaj.org/article/8c08b87b0fb64b7895dcb9e97c77fd3f  |z Connect to this object online.