Skip to main content
Log in

Factor Structure of the Arthritis-Related Health Belief Instrument in Ethnically Diverse Community-Dwelling Older Adults with Chronic Pain

  • Original Paper
  • Published:
Journal of Community Health Aims and scope Submit manuscript

Abstract

Nonpharmacological treatment of chronic pain in older people can be effective but attitudes and adherence to use of this treatment may differ by ethnicity. This study supports that a modified 14-item instrument based on the modified Health Belief Model—the arthritis-related health belief instrument (AHBI)—can be used across ethnically diverse older adults (i.e., European Americans, Hispanics, African Americans, and Afro-Caribbeans). Confirmatory factor analysis tested the factor structure of the AHBI to eliminate items inappropriate for this population. Structural equation modeling tested expected relationships among four latent variables—severity, susceptibility, barriers, and benefits—across the four ethnic groups. Findings suggest that the modified 14-item AHBI (eliminating two items from the original AHBI) adequately described the four latent factors pertaining to use of nonpharmacological pain therapy in this sample. All items registered substantial loadings (.41–.95) on the hypothesized factors, operating similarly across the four ethnic groups. The modified 14-item AHBI may be useful in (a) assessing how individual perceptions influence access to nonpharmacological pain therapy among ethnically diverse community-dwelling older adults, with the goal to develop and implement effective pain treatment for this population; and (b) measuring the likelihood of using nonpharmacological pain therapy by older adults. The modified 14-item AHBI can help health care providers to provide accurate pain assessment and examine domains that could affect use of nonpharmacological pain therapy by ethnically diverse older adults and guide practice with them by identifying barriers to use of such therapies and providing education to encourage their use.

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

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. International Association for the Study of Pain. (1994). Part III: Pain terms, a current list with definitions and notes on usage. In H. Merskey & N. Bogduk (Eds.), Classification of chronic pain (2nd ed., pp. 209–214). Seattle, WA: IASP Press.

    Google Scholar 

  2. Cole, B. E. (2002). Pain management: Classifying, understanding, and treating pain. Retrieved from http://209.85.165.104/search?q=cache:b5e4GpcazhcJ:www.turner-white.com/pdf/hp_jun02_pain.pdf+cole+%22+pain+management%22+classifying&hl=en&ct=clnk&cd=1&gl=us.

  3. Herr, K. (2002). Chronic pain: Challenges and assessment strategies. Journal of Gerontological Nursing, 28(1), 20–27.

    Article  PubMed  Google Scholar 

  4. Cavalieri, T. A. (2005). Management of pain in older adults. Journal of the American Osteopathic Association, 105, S12–S17.

    PubMed  Google Scholar 

  5. Elliott, A., Smith, B., Penny, K., Smith, W., & Chamber, W. (1999). The epidemiology of chronic pain in the community. Lancet, 354, 1248–1252.

    Article  CAS  PubMed  Google Scholar 

  6. McCaffrey, R., Frock, T. L., & Garguilo, H. (2003). Understanding chronic pain and the mind-body connection. Holistic Nursing Practice, 17, 281–287.

    Article  PubMed  Google Scholar 

  7. Schieffer, B. M., Pham, Q., Labus, J., et al. (2005). Pain medication belief and medication misuse in chronic pain. Journal of Pain, 6, 620–629.

    Article  PubMed  Google Scholar 

  8. American Geriatrics Society (AGS), & Panel on the Pharmacological Management of Persistent Pain. (2009). Pharmacological management of persistent pain in older persons. Journal of the American Geriatrics Society, 57, 1331–1346.

    Article  Google Scholar 

  9. Lavin, R., & Park, J. (2014). A characterization of pain in racially and ethnically diverse older adults: A review of the literature. Journal of Applied Gerontology, 33, 258–291. doi:10.1177/0733464812459372.

    Article  PubMed  Google Scholar 

  10. Benshoff, J. J., Harrawood, L. K., & Koch, D. S. (2003). Substance abuse and the elderly: Unique issue and concerns. Journal of Rehabilitation, 69(2), 43–48.

    Google Scholar 

  11. Dowling, L. S. (2006). An evaluation of the predictive validity of the Pain Medication Questionnaire with a heterogeneous group of chronic pain patients. Unpublished doctoral dissertation, University of Texas Southwestern Medical Center, Dallas.

  12. Nikolaus, T., & Zeyfang, A. (2004). Pharmacological treatments for persistent non-malignant pain in older persons. Drugs and Aging, 21, 19–41.

    Article  CAS  PubMed  Google Scholar 

  13. Horgas, A. L. (2003). Pain management in elderly adults. Journal of Infusion Nursing, 26(3), 161–165.

    Article  PubMed  Google Scholar 

  14. Berman, B. M., Lao, L., Langenberg, P., Lee, W. L., Gilpin, A. M., & Hochberg, M. C. (2004). Effectiveness of acupuncture as adjunctive therapy in osteoarthritis of the knee: A randomized, controlled trial. Annals of Internal Medicine, 141, 901–910.

    Article  PubMed  Google Scholar 

  15. Kolasinski, S. L., Garfinkel, M., Tsai, A. G., Matz, W., Dyke, A. V., & Schumacher, R. (2005). Iyengar yoga for treating symptoms of osteoarthritis of the knee: A pilot study. Journal of Alternative Complementary Medicine, 11, 689–693.

    Article  Google Scholar 

  16. Alexander, L. L. (2009). Palliative care and pain management at the end of life. CME Resource, 134(11), 61–109.

    Google Scholar 

  17. Tsui, P., & Leung, M. C. (2002). Comparison of the effectiveness between manual acupuncture and electro-acupuncture on patients with tennis elbow. Acupuncture and Electro-Therapeutics Research, 27(2), 107–117.

    PubMed  Google Scholar 

  18. National Center for Complementary and Alternative Medicine (NCCAM). (2013). What is complementary and alternative medicine? Retrieved from http://nccam.nih.gov/.

  19. Park, J., & Hughes, K. A. (2012). Nonpharmacological approaches to the management of chronic pain in older adults: A review of empirical evidence. Journal of American Geriatrics Society, 60, 555–568.

    Article  Google Scholar 

  20. Cheung, C. (2012). Complementary/alternative therapy use in older women with osteoarthritis. Research in Gerontological Nursing, 5, 275–283. doi:10.3928/19404921-20120906-06.

    Article  PubMed  Google Scholar 

  21. Park, J., Hirz, C. E., Manotas, K., & Hooyman, N. (2013). Nonpharmacological pain management by ethnically diverse older adults with chronic pain: Barriers and facilitators. Journal of Gerontological Social Work, 56, 487–508.

    Article  PubMed  Google Scholar 

  22. Park, J., Manotas, K., & Hooyman, N. (2013). Chronic pain management by ethnically and racially diverse older adults: Pharmacological and nonpharmacological pain therapies. Pain Management, 3, 435–454.

    Article  PubMed  Google Scholar 

  23. Austrian, J. S., Kerns, R. D., & Reid, M. C. (2005). Perceived barriers to trying self-management approaches for chronic pain in older persons. Journal of the American Geriatrics Society, 53, 856–861. doi:10.1111/j.1532-5415.2005.53268.x.

    Article  PubMed  Google Scholar 

  24. Rosenstock, J. M. (1966). Why people use health services. Milbank Memorial Fund Quarterly, 44(3), 94–127.

    Article  PubMed  Google Scholar 

  25. Becker, M. H., Maiman, L. A., Kirscht, J. P., Haefner, D. P., & Drachman, R. H. (1977). The Health Belief Model and prediction of dietary compliance: A field experiment. Journal of Health and Social Behavior, 18, 348–366.

    Article  CAS  PubMed  Google Scholar 

  26. Janz, N. K., & Becker, M. H. (1984). The Health Belief Model: A decade later. Health Education Quarterly, 11, 1–47.

    Article  CAS  PubMed  Google Scholar 

  27. Clark, M. M., Pera, V., Goldstein, M. G., Thebarge, R. W., & Guise, B. J. (1996). Counseling strategies for obese patients. American Journal of Preventive Medicine, 12, 266–270.

    CAS  PubMed  Google Scholar 

  28. Harris, R., & Linn, M. W. (1985). Health belief, compliance, and control of diabetes mellitus. Southern Medical Journal, 78, 162–166.

    Article  CAS  PubMed  Google Scholar 

  29. Norris, A. E., & Ford, K. (1995). Condom use by low-income African American and Hispanic youth with a well-known partner: Integrating the health belief model, theory of reasoned action, and the construct accessibility model. Journal of Applied Social Psychology, 25, 1801–1830.

    Article  Google Scholar 

  30. Vadaparampil, S. T., Champion, V. L., Miller, T. K., Menon, U., & Skinner, C. S. (2004). Using the Health Belief Model to examine differences in adherence to mammography among African American and Caucasian women. Journal of Psychosocial Oncology, 21(4), 59–79.

    Article  Google Scholar 

  31. Swanson, D. (2001). Mayo Clinic on chronic pain (2nd ed.). Anstey, Leicester: Ulverscroft Large Print Inc.

    Google Scholar 

  32. Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975). Mini-mental state: A practical method for grading the cognitive state of patients for the children. Journal of Psychiatric Research, 12(3), 189–198.

    Article  CAS  PubMed  Google Scholar 

  33. Ang, D. C., Monahan, P. O., & Cronan, T. A. (2008). Understanding ethnic disparities in the use of total joint arthroplasty: Application of the Health Belief Model. Arthritis Care & Research, 59(1), 102–108.

    Article  Google Scholar 

  34. Ang, D. C., Shen, J., & Monahan, P. O. (2008). Factorial invariance found in survey instrument measuring arthritis-related health beliefs among African Americans and Whites. Journal of Clinical Epidemiology, 61, 289–294.

    Article  PubMed  Google Scholar 

  35. Dean-Barr, S. L. (1991). Development of an instrument to measure the health beliefs of individuals with arthritis. Chicago, IL: Loyola University of Chicago.

    Google Scholar 

  36. Kline, R. B. (2004). Principles and practice of structural equation modeling (2nd ed.). New York, NY: Guilford.

    Google Scholar 

  37. Harrington, D. (2009). Confirmatory factor analysis. New York, NY: Oxford University Press.

    Google Scholar 

  38. Brown, T. A. (2006). Confirmatory factor analysis for applied research. New York, NY: Guilford Press.

    Google Scholar 

  39. Greeno, C. G., Colonna-Pydyn, C., & Shumway, M. (2007). The need to adapt standardized outcome measures for community mental health. Journal of Health and Social Policy, 23(2–3), 125–138.

    Google Scholar 

  40. Park, J., & McCaffrey, R. (2012). Benefits of participating in chair yoga for community-dwelling older adults with osteoarthritis. Journal of Gerontological Nursing, 38(5), 12–24. doi:10.3928/00989134-20120411-50.

    Article  PubMed  Google Scholar 

Download references

Acknowledgments

This project was funded by the John A. Hartford Foundation, Hartford Geriatric Social Work Faculty Scholars Program (2011–2013).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Juyoung Park.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Park, J., Clement, R., Hooyman, N. et al. Factor Structure of the Arthritis-Related Health Belief Instrument in Ethnically Diverse Community-Dwelling Older Adults with Chronic Pain. J Community Health 40, 73–81 (2015). https://doi.org/10.1007/s10900-014-9898-7

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10900-014-9898-7

Keywords

Navigation