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Low Back Functional Health Status of Patient Handlers

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Abstract

Purpose The purpose of this study was to assess low back functional health among a group of nurses with a history of low back pain symptoms in a university hospital using a direct measure of low back functional performance and compare to traditional low back disability and pain questionnaires. Methods Fifty-two nurses and patient care associates volunteered for the study. The clinical lumbar motion monitor (LMM) was used to directly measure low back functional performance. The participants performed a series of standard tasks involving trunk flexion and extension at different asymmetries. The LMM measures the motion signature of the participant (range of motion, velocity and acceleration) in all three planes of the body. The clinical LMM evaluation documented objective assessment of low back function normalized for age and gender. The Oswestry Disability Index (ODI) was used to evaluate self-reported disability and the McGill Pain Questionnaire visual analog scale assessed pain symptom. Results The average functional performance probability was 0.49 with a standard deviation of 0.29, indicating that on average the functional performance was impaired. The average ODI score was 13.4 with a standard deviation of 11.6. The correlation between the functional performance probability and ODI was 0.046 (not statistically significant). Conclusions The clinical LMM functional performance measure provides a direct measure of trunk function. The low correlation between the ODI and clinical LMM functional performance probability indicates that the direct functional performance measure adds another component to our understanding of low back health or impairment that traditional questionnaires lack.

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References

  1. Goetzel R, Hawkins K, Ozminkowski R, Wang S. The health and productivity cost burden of the “Top 10” physical and mental health conditions affecting six large U.S. employers in 1999. J Occup Environ Med. 2003;45(1):5–14.

    Article  PubMed  Google Scholar 

  2. Freburger J, Holmes G, Agans R, Jackman A, Darter J, Wallacy A, et al. The rising prevalence of chronic low back pain. Arch Intern Med. 2009;169(3):251–8.

    Article  PubMed Central  PubMed  Google Scholar 

  3. Friedly J, Standaert C, Chan L. Epidemiology of spine care: the back pain dilemma. Phys Med Rehabil Clin N Am. 2010;21:659–77.

    Article  PubMed Central  PubMed  Google Scholar 

  4. Dunning K, Davis K, Cook C, Kotowski S, Hamrick C, Jewell G, et al. Costs by industry and diagnosis among musculoskeletal claims in a state workers compensation system: 1999–2004. Am J Ind Med. 2010;53:276–84.

    PubMed  Google Scholar 

  5. Dagenais S, Caro J, Halderman S. A systematic review of low back pain cost of illness studies in the United States and internationally. Spine J. 2008;8:8–20.

    Article  PubMed  Google Scholar 

  6. Hoy D, March L, Brooks P, Blyth F, Woolf A, Bain C, et al. The global burden of low back pain: estimates from the global burden of disease 2010 study. Ann Rheum Dis. 2014;73(6):968–73. doi:10.1136/annrheumdis-2013-204428.

    Article  PubMed  Google Scholar 

  7. Waters T, Collins J, Galinsky T, Caruso C. NIOSH research efforts to prevent musculoskeletal disorders in the healthcare industry. Orthop Nurs. 2006;25(6):380–9.

    Article  PubMed  Google Scholar 

  8. Marras WS, Davis K, Kirking B, Bertsche P. A comprehensive analysis of low-back disorder risk and spinal loading during the transferring and repositioning of patients using different techniques. Ergonomics. 1999;42(7):904–26.

    Article  CAS  PubMed  Google Scholar 

  9. Bos E, Krol B, van der Star L, Groothoff J. Risk factors and musculoskeletal complaints in non-specialized nurses, IC nurses, operation room nurses, and X-ray technologists. Int Arch Occup Environ Health. 2007;80:198–206.

    Article  PubMed  Google Scholar 

  10. Lorusso A, Bruno S, L’Abbate N. A review of low back pain and musculoskeletal disorders among Italian nursing personnel. Ind Health. 2007;45:637–44.

    Article  PubMed  Google Scholar 

  11. June KJ, Cho SH. Low back pain and work-related factors among nurses in intensive care units. J Clin Nurs. 2011;20(3–4):479–87.

    Article  PubMed  Google Scholar 

  12. Shields L, Hall J, Mamun A. The ‘gender gap’ in authorship in nursing literature. J R Soc Med. 2011;104(11):457–64. doi:10.1258//jrsm.2011.110015.

    Article  PubMed Central  PubMed  Google Scholar 

  13. Dulon M, Kromark K, Skudlik C, Nienhaus A. Prevalence of skin and back disease in geriatric care nurses. Int Arch Occup Environ Health. 2008;81:983–92.

    Article  PubMed  Google Scholar 

  14. Fritz J, Cleland J, Childs J. Subgrouping patients with low back pain: evolution of a classification approach to physical therapy. J Orthop Sports Phys Ther. 2007;37:290–302.

    Article  PubMed  Google Scholar 

  15. Neeb T, Aufdemkampe G, Wagener J, Mastenbroek L. Assessing anterior cruciate ligament injuries: the association and differential value of questionnaires, clinical tests and functional tests. J Orthop Sports Phys Ther. 1997;26(6):324–31.

    Article  CAS  PubMed  Google Scholar 

  16. Biggs A, Jenkins W, Urch S, Shelbourne K. Rehabilitation for patients following ACL reconstruction: a knee symmetry model. N Am J Sports Phys Ther. 2009;4(1):2–12.

    PubMed Central  PubMed  Google Scholar 

  17. Myer G, Ford K, Barber Foss K, Liu C, Nick T, Hewett T. The relationship of hamstrings and quadriceps strength to anterior cruciate ligament injury in female athletes. Clin J Sports Med. 2009;19:3–8.

    Article  Google Scholar 

  18. Myer G, Ford K, Khoury J, Succop P, Hewett T. Development and validation of a clinic-based prediction tool to identify female athletes at high risk for anterior cruciate ligament injury. Am J Sports Med. 2010;38(10):2025–33.

    Article  PubMed Central  PubMed  Google Scholar 

  19. Myer G, Martin L, Ford K, Paterno M, Schmitt L, Heidt R, et al. No association of time from surgery with functional deficits in athletes after anterior cruciate ligament reconstruction evidence for objective return-to-sport criteria. Am J Sports Med. 2012;40(10):2256–63.

    Article  PubMed Central  PubMed  Google Scholar 

  20. Barber-Westin S, Golloway M, Noyes F, Corbett G, Walsh C. Assessment of lower limb neuromuscular control in prepubescent athletes. Am J Sports Med. 2005;33(12):1853–60.

    Article  PubMed  Google Scholar 

  21. Greindem H, Logersteldt D, Eitzen I, Moksnes H, Axe M, Snyder-Mackler L, et al. Single-legged hop tests as predictors of self-reported knee function in nonoperatively treated individuals with anterior cruciate ligament injury. Am J Sports Med. 2011;39(11):2347–54.

    Article  Google Scholar 

  22. Marras WS, Ferguson SA, Gupta P, Bose J, Parnianpour M, Kim J, et al. The quantification of low back disorder using motion measures methodology and validation. Spine. 1999;24(20):2091–100.

    Article  CAS  PubMed  Google Scholar 

  23. Ferguson SA, Marras WS, Burr D, Woods S, Mendel E, Gupta P. Quantification of a meaningful change in low back functional impairment. Spine. 2009;34(19):2060–5.

    Article  PubMed  Google Scholar 

  24. Marras WS, Lewis KK, Ferguson SA, Parnianpour M. Impairment magnification during dynamic trunk motion. Spine. 2000;25(5):587–95.

    Article  CAS  PubMed  Google Scholar 

  25. Fairbank JC, Pynsent PB. The Oswestry Disability Index. Spine. 2000;25(22):2940–52.

    Article  CAS  PubMed  Google Scholar 

  26. Melzack R. The McGill pain questionnaire: major properties and scoring methods. Pain. 1975;1(3):277–99.

    Article  CAS  PubMed  Google Scholar 

  27. Katz J, Melzack R. The McGill Pain questionnaire development, psychometric properties and usefulness of the long form, short form, and short form-2. In: Turk DC, Melzack R, editors. Handbook of pain assessment. 3rd ed. New York: Guilford Press; 2011.

    Google Scholar 

  28. Strand L, Ljunggren A, Bogen B, Ask T, Johnson T. The short-form McGill Pain Questionnaire as an outcome measure: test-retest reliability and responsiveness. Eur J Pain. 2008;12:917–25.

    Article  PubMed  Google Scholar 

  29. Yakut Y, Yakut E, Bayar K, Uygur F. Reliability and validity of the Turkish version short-form McGill Pain Questionnaire in patients with rheumatoid arthritis. Clin Rheumatol. 2007;26:1083–7.

    Article  PubMed  Google Scholar 

  30. Love A, Leboeuf C, Crisp T. Chiropractic chronic low back pain sufferers and self-report assessment methods. Part 1. A reliability study of the visual analog scale, the pain drawing and the McGill Pain Questionnaire. J Manipulative Physiol Ther. 1989;12:21–5.

    CAS  PubMed  Google Scholar 

  31. Joyce C, Zutshi D, Hrubes V, Mason R. Comparison of fixed interval and visual analog scales for rating chronic pain. Eur J Clin Pharmocol. 1975;8:415–20.

    Article  CAS  Google Scholar 

  32. Jensen M, Karoly P. Self-report scales and procedures for assessing pain in adults. In: Turk D, Melzack R, editors. Handbook of pain assessment. 3rd ed. New York: Guilford Press; 2011. p. 19–41.

    Google Scholar 

  33. Chapman J, Norvell D, Hermsmeyer J, Bransford R, DeVine J, McGirt M, et al. Evaluating common outcomes for measuring treatment success for chronic low back pain. Spine. 2011;36(21s):s54–68.

    Article  PubMed  Google Scholar 

  34. Fairbank JC, Couper J, Davies J, O’Brien J. The Owestry low back pain questionnaire. Physiotherapy. 1980;66:271–3.

    CAS  PubMed  Google Scholar 

  35. Bossons C, Levy J, Sutterlin C. Reconstructive spinal surgery: assessment of outcome. South Med J. 1996;89:1045–52.

    Article  CAS  PubMed  Google Scholar 

  36. Marras WS, Parnianpour M, Ferguson S, Kim J, Crowell R, Bose S, et al. The classification of anatomic- and symptom-based low back disorders using motion measure models. Spine. 1995;20(23):2531–46.

    Article  CAS  PubMed  Google Scholar 

  37. Vianin M. Psychometric properties and clinical usefulness of the Oswestry Disability Index. J Chiropr Med. 2008;7:161–8.

    Article  PubMed Central  PubMed  Google Scholar 

  38. Ferguson SA, Gallagher S, Marras WS. Validity and reliability of sincerity test for dynamic trunk motion. Disabil Rehabil. 2003;25:236–41.

    Article  CAS  PubMed  Google Scholar 

  39. Taylor R. Interpretation of the correlation coefficient: a basic review. J Diagn Med Sonogr. 1990;6(1):35–9.

    Article  Google Scholar 

  40. Hignett S. Work-related back pain in nurses. J Adv Nurs. 1996;23:1238–46.

    Article  CAS  PubMed  Google Scholar 

  41. Darragh A, Huddleston W, King P. Work-related musculoskeletal injuries and disorders among occupational and physical therapists. Am J Occup Ther. 2009;63(3):351–62.

    Article  PubMed  Google Scholar 

  42. Campo M, Weiser S, Koenig K, Nordin M. Work-related musculoskeletal disorders in physical therapists: a prospective cohort study with 1-year follow-up. Phys Ther. 2008;88:608–19.

    Article  PubMed Central  PubMed  Google Scholar 

  43. Cromie J, Robertson V, Best M. Work-related musculoskeletal disorders in physical therapists: prevalence, severity, risk and responses. Phys Ther. 2000;80:336–51.

    CAS  PubMed  Google Scholar 

  44. Cromie J, Robertson V, Best M. Work-related musculoskeletal disorders and the culture of physical therapy. Phys Ther. 2002;82:459–72.

    PubMed  Google Scholar 

  45. Wilkerson G, Giles J, Seibel D. Prediction of core and lower extremity strains and sprains in collegiate football players: a preliminary study. J Athl Train. 2012;47(3):264–72.

    PubMed Central  PubMed  Google Scholar 

  46. Roland M, Fairbank J. The Roland–Morris Disability Questionnaire and the Oswestry Disability Questionnaire. Spine. 2000;25(24):3115–24.

    Article  CAS  PubMed  Google Scholar 

  47. Ferguson SA, Marras WS, Gupta P. Longitudinal quantitative measures of the natural course of low back pain recovery. Spine. 2000;25(15):1950–6.

    Article  CAS  PubMed  Google Scholar 

  48. Pryce R, Johnson M, Goytan M, Passmore S, Berrington N, Kriellaars D. Relationship between ambulatory performance and self-rated disability in patients with lumbar spinal stenosis. Spine. 2012;37(15):1316–23.

    Article  PubMed  Google Scholar 

  49. Ferguson SA, Marras WS, Burr DL. Differences among outcome measures in occupational low back pain. J Occup Rehabil. 2005;15(3):329–41.

    Article  PubMed  Google Scholar 

  50. Hush JM, Refshauge K, Sullivan G, De Souza L, Maher C, McAuley JH. Recovery:what does this mean to patients with low back pain. Arthritis Rheum. 2009;61(1):124–31.

    Article  PubMed  Google Scholar 

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Acknowledgments

This study was funded by The Ohio State University.

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Correspondence to Sue A. Ferguson.

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Ferguson, S.A., Grooms, D.R., Onate, J.A. et al. Low Back Functional Health Status of Patient Handlers. J Occup Rehabil 25, 296–302 (2015). https://doi.org/10.1007/s10926-014-9538-1

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