Literature DB >> 27845355

Prevalence and associated factors of pain in the Swiss spinal cord injury population.

R Müller1,2, M W G Brinkhof1,2, U Arnet1,2, T Hinrichs3, G Landmann4, X Jordan5, M Béchir6.   

Abstract

STUDY
DESIGN: Population-based, cross-sectional.
OBJECTIVES: To determine pain prevalence and identify factors associated with chronic pain in individuals with spinal cord injury (SCI) living in Switzerland.
SETTING: Swiss SCI Cohort Study (SwiSCI).
METHODS: Pain characteristics were assessed using an adapted version of the International SCI Pain Basic Data Set, adding one item of the SCI Secondary Conditions Scale to address chronic pain. Pain prevalence was calculated using stratification over demographic, SCI-related and socioeconomic characteristics; odds ratios (adjusted for non-response) for determinants of severity of chronic pain were calculated using stereotype logistic regressions.
RESULTS: Pain (in the past week) was reported by 68.9% and chronic pain by 73.5% (significant 36.9%) of all participants (N=1549; 28% female). Most frequently reported pain type was musculoskeletal (71.1%). Back/spine was the most frequently reported pain location (54.6%). Contrasting the 'significant' to the 'none/mild' category of chronic pain, adjusted odds ratios were 1.54 (95% CI: 1.18-2.01; P<0.01) for women (vs men); 6.64 (95% CI: 3.37-11.67; P<0.001) for the oldest age group 61+ (vs youngest (16-30)); 3.41 (95% CI: 2.07-5.62; P<0.001) in individuals reporting severe financial hardship (vs no financial hardship). Individuals reporting specific SCI-related health conditions were 1.41-2.92 (P<0.05) times more likely to report chronic pain as 'significant' rather than 'none/mild' compared with those without the respective condition.
CONCLUSIONS: Pain is highly prevalent in individuals with SCI living in Switzerland. Considered at risk for chronic pain are women, older individuals and individuals with financial hardship and specific secondary health conditions. Longitudinal studies are necessary to identify predictors for the development of pain and its chronification.

Entities:  

Mesh:

Year:  2016        PMID: 27845355     DOI: 10.1038/sc.2016.157

Source DB:  PubMed          Journal:  Spinal Cord        ISSN: 1362-4393            Impact factor:   2.772


  57 in total

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Authors:  Christine Fekete; Johannes Siegrist; Jan D Reinhardt; Martin W G Brinkhof
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