Literature DB >> 29462062

Back Pain and Co-occurring Conditions: Findings From a Nationally Representative Sample.

Elizabeth M Badley1,2, Dov B Millstone1, Anthony V Perruccio1,2,3,4.   

Abstract

STUDY
DESIGN: Cross-sectional population-level health survey.
OBJECTIVE: To describe the frequency of co-occurring conditions with back pain; to identify risk factors for back pain controlling for co-occurring conditions; and to examine the association between back pain and individual co-occurring conditions. SUMMARY OF BACKGROUND DATA: Back pain shares risk factors with a range of other conditions. Most studies have considered risk factors for back pain without taking into account the potential influence of co-occurring conditions.
METHODS: Analysis of the 2013 Canadian Community Health Survey (n = 61,854, age ≥15 yr). Back pain status and co-occurring conditions were determined from questions about long-term health conditions diagnosed by a health profession. Multivariable log-Poisson regression analysis was used to assess the adjusted association of back pain with demographic and lifestyle characteristics and co-occurring conditions.
RESULTS: The population prevalence of reported back pain was 19.3%. Most (71%) reported at least one co-occurring condition. Most frequently reported were arthritis (35%), high blood pressure (26%), migraine (18%), and mood disorders (14%). Following the addition of co-occurring condition count to the regression model, being female and being overweight/obese were no longer significantly associated with back pain, and the associations with ages 45 to 54 years and older, low-income, smoking, and being physical inactive were significantly attenuated. The highest prevalence ratio, 3.32 (95% confidence interval: 3.06-3.59), was for 3+ co-occurring conditions. In multivariable regression all but a few individual chronic conditions remained significant associated with back pain.
CONCLUSION: Established risk factors for back pain may be largely a reflection of shared risk factors with co-occurring conditions. The high frequency of co-occurring conditions likely reflects diverse mechanisms related to heterogeneity of back pain. The extent of association of co-occurring conditions with back pain has implications for clinical management and need for further research to characterize subgroups. LEVEL OF EVIDENCE: 2.

Entities:  

Mesh:

Year:  2018        PMID: 29462062     DOI: 10.1097/BRS.0000000000002590

Source DB:  PubMed          Journal:  Spine (Phila Pa 1976)        ISSN: 0362-2436            Impact factor:   3.468


  8 in total

1.  Contributions of birthweight, annualised weight gain and BMI to back pain in adults: a population-based co-twin control study of 2754 Australian twins.

Authors:  Hercules R Leite; Amabile B Dario; Alison R Harmer; Vinicius C Oliveira; Manuela L Ferreira; Lucas Calais-Ferreira; Paulo H Ferreira
Journal:  Eur Spine J       Date:  2018-12-06       Impact factor: 3.134

2.  Do medical conditions predispose to the development of chronic back pain? A longitudinal co-twin control study of middle-aged males with 11-year follow-up.

Authors:  Pradeep Suri; Edward J Boyko; Sean D Rundell; Nicholas L Smith; Jack Goldberg
Journal:  BMC Musculoskelet Disord       Date:  2018-10-10       Impact factor: 2.362

3.  Stable prevalence of chronic back disorders across gender, age, residence, and physical activity in Canadian adults from 2007 to 2014.

Authors:  Adriana Angarita-Fonseca; Catherine Trask; Tayyab Shah; Brenna Bath
Journal:  BMC Public Health       Date:  2019-08-15       Impact factor: 3.295

4.  Examining the effects of low back pain and mental health symptoms on healthcare utilisation and costs: a protocol for a population-based cohort study.

Authors:  Jessica J Wong; Pierre Côté; Andrea C Tricco; Laura C Rosella
Journal:  BMJ Open       Date:  2019-09-27       Impact factor: 2.692

5.  Multimorbidity and co-occurring musculoskeletal pain do not modify the effect of the SELFBACK app on low back pain-related disability.

Authors:  Cecilie K Øverås; Tom I L Nilsen; Barbara I Nicholl; Guy Rughani; Karen Wood; Karen Søgaard; Frances S Mair; Jan Hartvigsen
Journal:  BMC Med       Date:  2022-02-08       Impact factor: 8.775

6.  Predictors of response following standardized education and self-management recommendations for low back pain stratified by dominant pain location.

Authors:  Anthony V Perruccio; Jessica T Y Wong; Elizabeth M Badley; J Denise Power; Calvin Yip; Y Raja Rampersaud
Journal:  N Am Spine Soc J       Date:  2021-11-07

7.  Predicting EQ-5D-5L Utility Scores from the Oswestry Disability Index and Roland-Morris Disability Questionnaire for Low Back Pain.

Authors:  Thomas G Poder; Nathalie Carrier
Journal:  J Pain Res       Date:  2020-03-26       Impact factor: 3.133

8.  EQ-5D-5L and SF-6Dv2 utility scores in people living with chronic low back pain: a survey from Quebec.

Authors:  Thomas G Poder; Liang Wang; Nathalie Carrier
Journal:  BMJ Open       Date:  2020-09-15       Impact factor: 2.692

  8 in total

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