Osteoporosis International

, Volume 18, Issue 7, pp 981–989 | Cite as

Psychometric properties of the “Osteoporosis and You” questionnaire: osteoporosis knowledge deficits among older community-dwelling women

  • S. M. Cadarette
  • M. A. M. Gignac
  • D. E. Beaton
  • S. B. Jaglal
  • G. A. Hawker
Original Article

Abstract

Summary

In older women, knowledge about risk factors for osteoporosis was good, with over 75% responding correctly to questions about lifestyle factors, family history, height loss, and menopausal status. However, significant knowledge deficits were identified regarding osteoporosis “consequences” and “prevention and treatment.”

Introduction

We examined osteoporosis knowledge by testing the psychometric properties of the 10-item knowledge component of the “Osteoporosis and You” questionnaire. Several knowledge domains were hypothesized.

Methods

Community-dwelling women aged 65–90 years residing within two regions of Ontario, Canada were studied (N = 869). Data were collected by standardized telephone interviews in 2003 and 2004. Items to which 75% or more responded correctly were identified as having a low index of difficulty; the remaining items identified areas of knowledge deficit. Confirmatory factor analysis was used to test scale structure.

Results

Six of the ten items had a low index of difficulty. These items largely examined osteoporosis risk factors. The remaining four items identified significant knowledge deficits in the areas of osteoporosis consequences, prevention, and treatment. Confirmatory factor analysis identified four distinct osteoporosis knowledge domains. However, the internal consistency was low for all but one domain, which examined “prevention and treatment.”

Conclusion

Although older women appear to be aware of osteoporosis risk factors, knowledge deficits regarding the consequences of osteoporosis and that treatment exists to prevent bone loss were identified. Better understanding of the multi-dimensional aspects of osteoporosis knowledge may help to inform the development of effective educational interventions.

Keywords

Factor analysis, Statistical Knowledge Osteoporosis 

References

  1. 1.
    Andersen RM (1995) Revisiting the behavioral model and access to medical care: Does it matter? J Health Soc Behav 36:1–10PubMedCrossRefGoogle Scholar
  2. 2.
    Glanz K, Rimer BK, Lewis FM (2002) Health behavior and health education: theory, research, and practice. Jossey-Bass, San FranciscoGoogle Scholar
  3. 3.
    Werner P (2005) Knowledge about osteoporosis: assessment, correlates and outcomes. Osteoporos Int 16:115–127PubMedCrossRefGoogle Scholar
  4. 4.
    Brenneman SK, Blau EM, Chen Y et al (2002) Validation of a patient questionnaire, ‘Osteoporosis and You’, designed to assess osteoporosis-related attitudes, knowledge and behavior [abstract]. J Bone Miner Res 17 [Suppl 1]:S466Google Scholar
  5. 5.
    Hawker GA, Wright JG, Coyte PC et al (2000) Differences between men and women in the rate of use of hip and knee arthroplasty. New Engl J Med 342:1016–1022PubMedCrossRefGoogle Scholar
  6. 6.
    Cadarette SM, Jaglal SB, Hawker GA (2005) Fracture prevalence and treatment with bone-sparing agents: are there urban-rural differences? A population based study in Ontario, Canada. J Rheumatol 32:550–558PubMedGoogle Scholar
  7. 7.
    Cadarette SM, Beaton DE, Gignac MAM et al (2006) Inequities in access to osteoporosis investigation and treatment among older community-dwelling women in Ontario, Canada [abstract]. J Bone Miner Res 21 [Suppl 1]:S273Google Scholar
  8. 8.
    Burgener M, Arnold M, Katz JN et al (2005) Older adults’ knowledge and beliefs about osteoporosis: results of semistructured interviews used for the development of educational materials. J Rheumatol 32:673–677PubMedGoogle Scholar
  9. 9.
    Kim K, Horan M, Gendler P (1991) Osteoporosis Health Belief Scale. Grand Valley State University, AllendaleGoogle Scholar
  10. 10.
    Cadarette SM, Beaton DE, Hawker GA (2004) Osteoporosis Health Belief Scale: minor changes were required after telephone administration among women. J Clin Epidemiol 57:154–166PubMedCrossRefGoogle Scholar
  11. 11.
    Kim K, Horan M, Gendler P (1991) Osteoporosis Knowledge Test. Grand Valley State University, AllendaleGoogle Scholar
  12. 12.
    Winzenberg TM, Oldenburg B, Frendin S et al (2003) The design of a valid and reliable questionnaire to measure osteoporosis knowledge in women: the Osteoporosis Knowledge Assessment Tool (OKAT). BMC Musculoskelet Disord 4:17PubMedCrossRefGoogle Scholar
  13. 13.
    Nunnally JC, Bernstein IH (1994) Psychometric theory. McGraw-Hill, TorontoGoogle Scholar
  14. 14.
    Jöreskog KG, Sörbom D (1981–2005) PRELIS. Scientific Software International, LincolnwoodGoogle Scholar
  15. 15.
    Hair JF, Anderson RE, Tatham RL et al (1998) Multivariate data analysis. Prentice Hall, Upper Saddle RiverGoogle Scholar
  16. 16.
    Jöreskog KG, Sörbom D (2005) LISREL. Scientific Software International, LincolnwoodGoogle Scholar
  17. 17.
    Hatcher L (1994) A step-by-step approach to using the SAS System for factor analysis and structural equation modeling. SAS Institute, CaryGoogle Scholar
  18. 18.
    Kline RB (2005) Principles and practice of structural equation modeling. Guilford Press, New YorkGoogle Scholar
  19. 19.
    DeVellis RF (2003) Scale development: theory and applications. Sage, Thousand OaksGoogle Scholar
  20. 20.
    Solomon DH, Finkelstein JS, Polinski JM et al (2006) A randomized controlled trial of mailed osteoporosis education to older adults. Osteoporos Int 17:760–767PubMedCrossRefGoogle Scholar
  21. 21.
    Wilkins K (2003) Social support and mortality in seniors. Health Rep 14:21–34PubMedGoogle Scholar
  22. 22.
    Wilkins K, Park E (1996) Chronic conditions, physical limitations and dependency among seniors living in the community. Health Rep 8:7–15PubMedGoogle Scholar
  23. 23.
    Statistics Canada (1999) Health among older adults. Health Rep 11:47–61Google Scholar
  24. 24.
    Statistics Canada (2002) 2001 Community profiles. Statistics Canada catalogue No. 93F0053XIE. http://www12.statcan.ca/english/Profil01/CP01/Index.cfm?Lang=E

Copyright information

© International Osteoporosis Foundation and National Osteoporosis Foundation 2007

Authors and Affiliations

  • S. M. Cadarette
    • 1
    • 2
    • 9
  • M. A. M. Gignac
    • 3
    • 4
    • 5
  • D. E. Beaton
    • 2
    • 5
    • 6
  • S. B. Jaglal
    • 1
    • 2
    • 4
    • 7
  • G. A. Hawker
    • 1
    • 2
    • 8
  1. 1.Osteoporosis Research ProgramWomen’s College HospitalTorontoCanada
  2. 2.Department of Health Policy, Management and EvaluationUniversity of TorontoTorontoCanada
  3. 3.Division of Outcomes and Population HealthUniversity Health NetworkTorontoCanada
  4. 4.Department of Public Health SciencesUniversity of TorontoTorontoCanada
  5. 5.Institute for Work and HealthTorontoCanada
  6. 6.Mobility Program Clinical Research UnitSt. Michael’s HospitalTorontoCanada
  7. 7.Department of Physical TherapyUniversity of TorontoTorontoCanada
  8. 8.Division of RheumatologyWomen’s College HospitalTorontoCanada
  9. 9.Division of Pharmacoepidemiology and Pharmacoeconomics, Department of MedicineBrigham and Women’s Hospital and Harvard Medical SchoolBostonUSA

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