Skip to main content

Advertisement

Log in

The association between prevalent neck pain and health-related quality of life: a cross-sectional analysis

  • Original Article
  • Published:
European Spine Journal Aims and scope Submit manuscript

Abstract

The aim of this study was to examine the association between grades of neck pain severity and health-related quality of life (HRQoL), using a population-based, cross-sectional mailed survey. The literature suggests that physical and mental HRQoL is worse for individuals with neck pain compared to those without neck pain. However, the strength of the association varies across studies. Discrepancies in study results may be attributed to the use of different definitions and measures of neck pain and differences in the selection of covariates used as control variables in the analyses. The Saskatchewan Health and Back Pain Survey was mailed to 2,184 randomly selected Saskatchewan adults of whom 1,131 returned the questionnaire. Neck pain was measured with the Chronic Pain Questionnaire and categorized into four increasing grades of severity. We measured HRQoL with the SF-36 Health Survey and computed the physical and mental component summary scores. We built separate multiple linear regression models to examine the association between grades of neck pain and physical and mental summary scores while controlling for sociodemographic, general health and comorbidity covariates. Our crude analysis suggests that a gradient exists between the severity of neck pain and HRQoL. Compared to individuals without neck pain, those with Grades III–IV neck pain have significantly lower physical (mean difference = −13.9/100; 95% CI = −16.4, −11.3) and mental (mean difference = −10.8/100; 95% CI = −13.6, −8.1) HRQoL. Controlling for covariates greatly reduced the strength of association between neck pain and physical HRQoL and accounted for the observed association between neck pain and mental HRQoL. In the comorbidity model, the strength of association between Grades III–IV neck pain and PCS decreased by more than 50% (mean difference = −4.5/100; 95% CI = −6.9, −2.0). In the final PCS model, Grades III–IV neck pain coefficients changed only slightly from the comorbidity model (mean difference = −4.4/100; 95% CI = −6.9, −1.9). This suggests that comorbid conditions account for most of the association between neck pain and PCS score. It was concluded that prevalent neck pain is weakly associated with physical HRQoL, and that it is not associated with mental HRQoL. Our cross-sectional analysis suggests that most of the observed association between prevalent neck pain and HRQoL is attributable to comorbidities.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Beaton DE, Hogg-Johnson S, Bombardier C (1997) Evaluating changes in health status: reliability and responsiveness of five generic health status measures in workers with musculoskeletal disorders. J Clin Epidemiol 50(1):79–93

    Article  PubMed  CAS  Google Scholar 

  2. Beaton DE, Schemitsch E (2003) Measures of health-related quality of life and physical function. Clin Orthop Relat Res (413):90–105

  3. Blalock SJ, DeVellis RF, Brown GK et al (1989) Validity of the center for epidemiological studies depression scale in arthritis populations. Arthritis Rheum 32(8):991–997. doi:10.1002/anr.1780320808

    Article  PubMed  CAS  Google Scholar 

  4. Borghouts JA, Koes BW, Vondeling H et al (1999) Cost-of-illness of neck pain in The Netherlands in 1996. Pain 80(3):629–636

    Article  PubMed  CAS  Google Scholar 

  5. Boyd JH, Weissman MM, Thompson WD et al (1982) Screening for depression in a community sample. Understanding the discrepancies between depression symptom and diagnostic scales. Arch Gen Psychiatry 39(10):1195–1200

    PubMed  CAS  Google Scholar 

  6. Brazier JE, Harper R, Jones NMB et al (1992) Validating the SF-36 health survey questionnaire: new outcome measure for primary care. BMJ 305(6846):160–164

    Article  PubMed  CAS  Google Scholar 

  7. Côté P, Cassidy JD, Carroll L (2000) The factors associated with neck pain and its related disability in the Saskatchewan population. Spine 25(9):1109–1117. doi:10.1097/00007632-200005010-00012

    Article  PubMed  Google Scholar 

  8. Côté P, Cassidy D, Carroll L (1998) The Saskatchewan health and back pain survey: the prevalence of neck pain and related disability in Saskatchewan adults. Spine 23(15):1689–1698. doi:10.1097/00007632-199808010-00015

    Article  PubMed  Google Scholar 

  9. Daffner SD, Hilibrand AS, Hanscom BS et al (2003) Impact of neck and arm pain on overall health status. Spine 28(17):2030–2035

    Article  PubMed  Google Scholar 

  10. Ektor-Andersen J, Isacsson SO, Lindgren A et al (1999) The experience of pain from the shoulder-neck area related to the total body pain, self-experienced health and mental distress. The Malmo shoulder-neck study group. Pain 82(3):289–295

    Article  PubMed  CAS  Google Scholar 

  11. Fanuele JC, Birkmeyer NJ, Abdu WA et al (2000) The impact of spinal problems on the health status of patients: have we underestimated the effect? Spine 25(12):1509–1514

    Article  PubMed  CAS  Google Scholar 

  12. Fejer R, Kyvik KO, Hartvigsen J (2006) The prevalence of neck pain in the world population: a systematic critical review of the literature. Eur Spine J 15:834–848. doi:10.1007/s00586-004-0864-4

    Article  PubMed  Google Scholar 

  13. Hagen KB, Kvien TK, Bjorndal A (1997) Musculoskeletal pain and quality of life in patients with noninflammatory joint pain compared to rheumatoid arthritis: a population survey. J Rheumatol 24(9):1703–1709

    PubMed  CAS  Google Scholar 

  14. Hann D, Winter K, Jacobsen P (1999) Measurement of depressive symptoms in cancer patients: evaluation of the center for epidemiological studies depression scale (CES-D). J Psychosom Res 46(5):437–443. doi:10.1016/S0022-3999(99)00004-5

    Article  PubMed  CAS  Google Scholar 

  15. Hermann KM, Reese CS (2001) Relationships among selected measures of impairment, functional limitation, and disability in patients with cervical spine disorders. Phys Ther 81(3):903–914

    PubMed  CAS  Google Scholar 

  16. Jaroszynski G, Cassidy JD, Côté P et al (1998) Development, reliability, and concurrent validity of a new self-assessed comorbidity scale. Unpublished manuscript, University of Saskatchewan

  17. Lobbezoo F, Visscher CM, Naeije M (2004) Impaired health status, sleep disorders, and pain in the craniomandibular and cervical spinal regions. Eur J Pain 8(1):23–30

    Article  PubMed  Google Scholar 

  18. Luo X, Edwards CL, Richardson W et al (2004) Relationships of clinical, psychologic, and individual factors with the functional status of neck pain patients. Value Health 7(1):61–69

    Article  PubMed  Google Scholar 

  19. McHorney CA, Ware JE Jr, Rogers W et al (1992) The validity and relative precision of MOS short- and long-form health status scales and Dartmouth COOP charts: results from the medical outcomes study. Med Care 30(5 Suppl):MS253–MS265. doi:10.1097/00005650-199205001-00025

    Article  PubMed  CAS  Google Scholar 

  20. Orme JG, Reis J, Herz EJ (1986) Factorial and discriminant validity of the center for epidemiological studies depression (CES-D) scale. J Clin Psychol 42(1):28–33. doi:10.1002/1097-4679(198601)42:1<28::AID-JCLP2270420104>3.0.CO;2-T

    Article  PubMed  CAS  Google Scholar 

  21. Radloff LS (1977) The CES-D scale: a self-reported depression scale for research in the general population. Appl Psychol Meas 1:385–401. doi:10.1177/014662167700100306

    Article  Google Scholar 

  22. Rothman KJ, Greenland S (1998) Modern epidemiology, 2nd edn edn. Lippincott-Raven, Philadelphia

    Google Scholar 

  23. SAS/STAT User’s Guide (2003) Computer program, Version 9.1., SAS Institute Inc, Cary

  24. Smith BH, Penny KI, Purves AM et al (1997) The chronic pain grade questionnaire: validation and reliability in postal research. Pain 71(2):141–147

    Article  PubMed  CAS  Google Scholar 

  25. Tennant A, Badley EM (1991) A confidence interval approach to investigating non-response bias and monitoring response to postal questionnaires. J Epidemiol Community Health 45(1):81–85

    Article  PubMed  CAS  Google Scholar 

  26. Turk DC, Okifuji A (1994) Detecting depression in chronic pain patients: adequacy of self-reports. Behav Res Ther 32(1):9–16. doi:10.1016/0005-7967(94)90078-7

    Article  PubMed  CAS  Google Scholar 

  27. Von Korff M (1992) Epidemiological and survey methods: chronic pain assessment. In: Turk DC, Melzack R (eds) Handbook of pain assessment. The Guilford Press, New York, pp 391–408

    Google Scholar 

  28. Von Korff M, Deyo RA, Cherkin D et al (1993) Back pain in primary care. Outcomes at 1 year. Spine 18(7):855–862

    Article  Google Scholar 

  29. Von Korff M, Dworkin SF (1989) Problems in measuring pain by survey. The classification of chronic pain in field research. In: Chapman CR, Loeser JD (eds) Issues in pain management. Raven Press, New York, pp 519–533

    Google Scholar 

  30. Von Korff M, Dworkin SF, Le Resche L (1990) Graded chronic pain status: an epidemiologic evaluation. Pain 40:279–291. doi:10.1016/0304-3959(90)91125-3

    Article  Google Scholar 

  31. Von Korff M, Dworkin SF, Le Resche L, Kruger A (1988) An epidemiologic comparison of pain complaints. Pain 32(2):173–183

    Article  Google Scholar 

  32. Von Korff M, Le Resche L, Dworkin SF (1993) First onset of common pain symptoms: a prospective study of depression as a risk factor. Pain 55(2):251–258

    Article  Google Scholar 

  33. Von Korff M, Ormel J, Keefe FJ et al (1992) Grading the severity of chronic pain. Pain 50(2):133–149. doi:10.1016/0304-3959(92)90154-4

    Article  Google Scholar 

  34. Vermeulen S (2006) Assessing the performance of a self-report comorbidity scale. MSc Thesis. Unpublished manuscript, University of Alberta

  35. Ware JE Jr (1987) Standards for validating health measures: definition and content. J Chronic Dis 40(6):473–480. doi:10.1016/0021-9681(87)90003-8

    Article  PubMed  Google Scholar 

  36. Ware JE Jr (2000) SF-36 health survey update. Spine 25(24):3130–3139

    Article  PubMed  Google Scholar 

  37. Ware JE, Kosinski M (2001) SF-36 physical and mental health summary scales: a manual for users of version 1, 2nd edn edn. Quality Metric Incorporated, Lincoln

    Google Scholar 

  38. Ware JE Jr, Kosinski M, Keller S (1994) SF-36 physical and mental health summary scales: a user’s manual. The Health Institute, New England Medical Center, Boston

    Google Scholar 

  39. Ware JE Jr, Snow KK, Kosinski M et al (1993) SF-36 health survey: manual and interpretation guide. The Health Institute, New England Medical Center, Boston

    Google Scholar 

  40. Zich JM, Attkisson CC, Greenfield TK (1990) Screening for depression in primary care clinics: the CES-D and the BDI. Int J Psych Med 20(3):259–277

    CAS  Google Scholar 

Download references

Acknowledgments

We would like to thank the Chiropractors’ Association of Saskatchewan for funding the Saskatchewan Health and Back Pain Survey and Selahadin Ibrahim, Stella Chan and Amber Bielecky for their assistance with data analysis. The University of Saskatchewan Advisory Committee on Ethics in Human Experimentation approved the survey.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mana Rezai.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Rezai, M., Côté, P., Cassidy, J.D. et al. The association between prevalent neck pain and health-related quality of life: a cross-sectional analysis. Eur Spine J 18, 371–381 (2009). https://doi.org/10.1007/s00586-008-0823-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00586-008-0823-6

Keywords

Navigation