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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Medical Journals Sweden,
2019-02-01T00:00:00Z.
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LEADER | 00000 am a22000003u 4500 | ||
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001 | doaj_8c08b87b0fb64b7895dcb9e97c77fd3f | ||
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. |