Literature DB >> 30637980

Course of Back Pain in the Canadian Population: Trajectories, Predictors, and Outcomes.

Mayilee Canizares1, Y Raja Rampersaud1, Elizabeth M Badley1.   

Abstract

OBJECTIVE: To identify and describe back pain trajectory groups and to compare indicators of health status, medication, and health care use in these groups.
METHODS: A representative sample (n = 12,782) of the Canadian population was followed-up from 1994/1995 to 2010/2011. Participants were interviewed biannually and provided data on sociodemographic (e.g., education) and behavior-related (e.g., physical activity) factors, depression, comorbidities, pain, disability, medication use (e.g., opioids), and health care use (e.g., primary care visits). We used group-based trajectory analysis to categorize participants according to patterns in the course of their back pain during the 16-year follow-up period and compared indicators of pain, disability, medication, and health care use in the trajectory groups.
RESULTS: A total of 45.6% of the participants reported back pain at least once during follow-up. Of those, we identified 4 trajectories: persistent (18.0%), developing (28.1%), recovery (20.5%), and occasional (33.4%). The persistent and developing groups were characterized as having pain that prevented activities, disability, depression, and comorbidities. There were significant differences in the patterns of medication and health care use across the groups, with a general trend of most to least health care and medication use in the persistent, developing, recovering, and occasional groups. Those in the recovery group had an increasing trajectory reflecting opioid and antidepressant use.
CONCLUSION: Approximately 1 in 5 people with back pain experience a persistent pain trajectory with an associated increase in pain, disability, and health care use. Further research is needed to determine whether the groups identified represent different diagnoses, which may provide insight into the selection of stratified treatment and aid in designing early prevention and management strategies in the population.
© 2018, American College of Rheumatology.

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Year:  2019        PMID: 30637980     DOI: 10.1002/acr.23811

Source DB:  PubMed          Journal:  Arthritis Care Res (Hoboken)        ISSN: 2151-464X            Impact factor:   4.794


  5 in total

1.  Pain over the adult life course: 15-year pain trajectories-The Doetinchem Cohort Study.

Authors:  H Susan J Picavet; W M Monique Verschuren; Lichelle Groot; Laura Schaap; Sandra H van Oostrom
Journal:  Eur J Pain       Date:  2019-07-25       Impact factor: 3.931

2.  Predicting Physician Consultations for Low Back Pain Using Claims Data and Population-Based Cohort Data-An Interpretable Machine Learning Approach.

Authors:  Adrian Richter; Julia Truthmann; Jean-François Chenot; Carsten Oliver Schmidt
Journal:  Int J Environ Res Public Health       Date:  2021-11-16       Impact factor: 3.390

3.  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

4.  Neck pain patterns and subgrouping based on weekly SMS-derived trajectories.

Authors:  P Irgens; A Kongsted; B L Myhrvold; K Waagan; K B Engebretsen; B Natvig; N K Vøllestad; H S Robinson
Journal:  BMC Musculoskelet Disord       Date:  2020-10-14       Impact factor: 2.362

5.  Trajectories of disability in low back pain.

Authors:  Tonny E Andersen; Karen-Inge Karstoft; Henrik H Lauridsen; Claus Manniche
Journal:  Pain Rep       Date:  2022-01-17
  5 in total

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