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Prospectively measured 10-year changes in health-related quality of life and comparison with cross-sectional estimates in a population-based cohort of adult women and men

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Abstract

Purpose

To prospectively assess changes in health-related quality of life (HRQOL) over 10 years, by age and sex, and to compare measured within-person change to estimates of change based on cross-sectional data.

Methods

Participants in the Canadian Multicentre Osteoporosis Study completed the 36-item short form (SF-36) in 1995/1997 and 2005/2007. Mean within-person changes for domain and summary components were calculated for men and women separately, stratified by 10-year age groups. Projected changes based on published age- and sex-stratified cross-sectional data were also calculated. Mean differences between the two methods were then estimated, along with the 95 % credible intervals of the differences.

Results

Data were available for 5,569/9,423 (59.1 %) of the original cohort. Prospectively collected 10-year changes suggested that the four physically oriented domains declined in all but the youngest group of men and women, with declines in the elderly men exceeding 25 points. The four mentally oriented domains tended to improve over time, only showing substantial declines in vitality and role emotional in older women, and all four domains in older men. Cross-sectional estimates identified a similar pattern of change but with a smaller magnitude, particularly in men. Correspondence between the two methods was generally high.

Conclusions

Changes in HRQOL may be minimal over much of the life span, but physically oriented HRQOL can decline substantially after middle age. Although clinically relevant declines were more evident in prospectively collected data, differences in 10-year age increments of cross-sectional data may be a reasonable proxy for longitudinal changes, at least in those under 65 years of age. Results provide additional insight into the natural progression of HRQOL in the general population.

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References

  1. Ware, J. E., Jr., Snow, K. K., Kosinski, M., & Gandek, B. (1993). SF-36 health survey: Manual and interpretation guide. Boston: The Health Institute, New England Medical Center.

    Google Scholar 

  2. Ware, J. E., Jr., Kosinski, M., & Keller, S. D. (1994). SF-36 physical and mental summary scales: A user’s manual. Boston: The Health Institute, New England Medical Center.

    Google Scholar 

  3. Ware, J. E., Jr. (2000). SF-36 health survey updated. Spine, 25(24), 3130–3139.

    Article  PubMed  Google Scholar 

  4. Garratt, A., Schmidt, L., Mackintosh, A., & Fitzpatrick, R. (2002). Quality of life assessment: Bibliographic study of patient assessed health outcome measures. British Medical Journal, 324, 1417–1421.

    Article  PubMed Central  PubMed  Google Scholar 

  5. Hopman, W. M., Harrison, M., Coo, H., Friedberg, E., Buchanan, M., & Vandenkerkhof, E. (2009). The impact of chronic disease and increased age on physical and mental health. Chronic Diseases in Canada, 29(3), 108–116.

    CAS  PubMed  Google Scholar 

  6. Bayliss, E. A., Bayliss, M. S., Ware, J. E., Jr., & Steiner, J. F. (2004). Predicting declines in physical function in persons with multiple chronic medical conditions: What we can learn from the medical problem list. Health and Quality of Life Outcomes, 2, 47–55.

    Article  PubMed Central  PubMed  Google Scholar 

  7. Andreson, E. M., & Meyers, A. R. (2000). Health-related quality of life outcomes measures. Archives of Physical Medicine and Rehabilitation, 81(12 Suppl. 2), S30–S45.

    Article  Google Scholar 

  8. Hemingway, H., Stafford, M., Stansfield, S., Shipley, M., & Marmot, M. (1997). Is the SF-36 a valid measure of change in population health? Results from the Whitehall II study. British Medical Journal, 315, 1273–1279.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  9. Beaton, D. E., 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. Journal of Clinical Epidemiology, 50(1), 79–93.

    Article  CAS  PubMed  Google Scholar 

  10. Hopman, W. M., Towheed, T., Anastassiades, T., Tenenhouse, A., Poliquin, S., Berger, C., et al. (2000). Canadian normative data for the SF-36 health survey. Canadian Medical Association Journal, 163, 265–271.

    CAS  PubMed Central  PubMed  Google Scholar 

  11. Mein, G., Martikainen, P., Hemingway, H., Stansfield, S., & Marmot, M. (2003). Is retirement good or bad for mental and physical health functioning? Whitehall II longitudinal study of civil servants. Journal of Epidemiology and Community Health, 57(1), 46–49.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  12. Der-Martirosian, C., Kritz-Silverstein, D., & Barret-Connor, E. (2010). Five-year stability in associations of health-related quality of life measures in community-dwelling older adults: The Rancho Bernardo Study. Quality of Life Research, 19(9), 1333–1341.

    Article  PubMed Central  PubMed  Google Scholar 

  13. Hopman, W. M., Berger, C., Joseph, L., Towheed, T., vandenKerkhof, E., Anastassiades, T., et al. (2004). Stability of normative data for the SF-36: Results of a three-year prospective study in middle-aged Canadians. Canadian Journal of Public Health, 95(3), 387–391.

    PubMed  Google Scholar 

  14. Hopman, W. M., Berger, C., Joseph, L., Towheed, T., vandenKerkhof, E., Anastassiades, T., et al. (2006). The natural progression of health-related quality of life: Results of a five-year prospective study of SF-36 in a normative population. Quality of Life Research, 15(3), 527–536.

    Article  PubMed  Google Scholar 

  15. Kreiger, N., Tenenhouse, A., Joseph, L., MacKenzie, T., Poliquin, S., Brown, J., et al. (1999). Research Notes: The Canadian Multicentre Osteoporosis Study (CaMos): Background, rationale, methods. Canadian Journal on Aging, 18, 376–387.

    Article  Google Scholar 

  16. Rubin, D. B. (1976). Inference and missing data. Biometrika, 63(3), 581–592.

    Article  Google Scholar 

  17. Diehr, P., Patrick, D. L., Spertus, J., Kiefe, C. I., McDonell, M., & Fihn, S. D. (2001). Transforming self-rated health and the SF-36 scales to include death and improve interpretability. Medical Care, 39(7), 670–680.

    Article  CAS  PubMed  Google Scholar 

  18. Little, R. J., D’Agostino, R., Cohen, M. L., Dickersin, K., Emerson, S. S., et al. (2012). Special Report: The prevention and treatment of missing data in clinical trials. New England Journal of Medicine, 367(14), 1355–1360.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  19. Shih, W. J. (2002). Problems in dealing with missing data and informative censoring in clinical trials (review). Current Controlled Trials in Cardiovascular Medicine, 3(4), 7.

    Google Scholar 

  20. Wood, A. M., White, A. R., & Thompson, S. G. (2004). Are missing outcome data adequately handled? A review of published randomized controlled trials in major medical journals. Clinical Trials, 1(4), 368–376.

    Article  PubMed  Google Scholar 

  21. Kmetic, A., Joseph, L., Berger, C., & Tenenhouse, A. (2002). Multiple imputation to account for missing data in a survey: Estimating the prevalence of osteoporosis. Epidemiology, 13(4), 437–444.

    Article  PubMed  Google Scholar 

  22. Rubin, D. (1987). Multiple imputation for non-response in surveys. New York: Wiley.

    Book  Google Scholar 

  23. Testa, M. A. (2000). Interpretation of quality of life outcomes: Issues that affect magnitude and meaning. Medical Care, 38(Suppl. II), 166–174.

    Google Scholar 

  24. Oort, F. J., Visser, M. R., & Sprangers, M. A. (2009). Formal definitions and measurement of bias and explanation bias clarify measurement and conceptual perspectives on response shift. Journal of Clinical Epidemiology, 62, 1126–1137.

    Article  PubMed  Google Scholar 

  25. Schwartz, C. E., Bode, R., Repucci, N., Becker, J., Sprangers, M. A., & Fayers, P. M. (2006). The clinical significance of adaptation to changing health: A meta-analysis of response shift. Quality of Life Research, 15(9), 1533–1550.

    Article  PubMed  Google Scholar 

  26. Wagner, A. K., Gandek, B., Aaronson, N. K., Acquadro, C., Alonzo, J., Apolone, G., et al. (1998). Cross-cultural comparisons of the content of SF-36 translations across 10 countries: Results from the IQOLA Project International Quality of Life Assessment. Journal of Clinical Epidemiology, 51(11), 925–932.

    Article  CAS  PubMed  Google Scholar 

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Correspondence to Wilma M. Hopman.

Additional information

Please see the “Appendix” section for CaMos Research Group members.

Appendix: CaMos Research Group

Appendix: CaMos Research Group

  • David Goltzman (co-principal investigator, McGill University), Nancy Kreiger (co-principal investigator, Toronto), Alan Tenenhouse (principal investigator emeritus, Toronto).

  • CaMos Coordinating Centre, McGill University, Montreal, Quebec: Suzanne Godmaire (research assistant), Silvia Dumont (administrative assistant), Claudie Berger (study statistician), Lisa Langsetmo (Fellow), Wei Zhou (statistician).

  • Memorial University, St. John’s Newfoundland: Carol Joyce (director), Christopher Kovacs (co-director), Emma Sheppard (coordinator).

  • Dalhousie University, Halifax, Nova Scotia: Susan Kirkland, Stephanie Kaiser (co-directors), Barbara Stanfield (coordinator).

  • Laval University, Quebec City, Quebec: Jacques P. Brown (director), Louis Bessette (co-director).

  • Queen’s University, Kingston, Ontario: Tassos Anastassiades (director), Tanveer Towheed (co-director), Wilma Hopman (research associate), Karen Rees-Milton (coordinator).

  • University of Toronto, Toronto, Ontario: Bob Josse (director), Sophie Jamal (co-director), Barbara Gardner-Bray (coordinator).

  • McMaster University, Hamilton, Ontario: Jonathan D. Adachi (director), Alexandra Papaioannou (co-director), Laura Pickard (coordinator).

  • University of Saskatchewan, Saskatoon, Saskatchewan: Wojciech P. Olszynski (director), K. Shawn Davison (co-director), Jola Thingvold (coordinator).

  • University of Calgary, Calgary, Alberta: David A. Hanley (director), Jane Allan (coordinator).

  • University British Columbia, Vancouver, British Columbia: Jerilynn C. Prior (director), Millan Patel (co-director), Brian Lentle (radiologist), Nerkeza Andjelic (coordinator).

  • McGill University, Montreal, Quebec: Elham Rahme (biostatistician), Brent Richards (research associate).

  • University of Alberta, Edmonton, Alberta: Stuart Jackson (medical physicist).

  • University of Manitoba, Winnipeg, Manitoba: William Leslie (nuclear medicine physician). CaMos is currently funded by Canadian Institutes of Health Research (CIHR), Amgen Canada Inc., Dairy Farmers of Canada, Merck Canada, Eli Lilly Canada, Novartis Canada.

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Hopman, W.M., Berger, C., Joseph, L. et al. Prospectively measured 10-year changes in health-related quality of life and comparison with cross-sectional estimates in a population-based cohort of adult women and men. Qual Life Res 23, 2707–2721 (2014). https://doi.org/10.1007/s11136-014-0733-5

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  • DOI: https://doi.org/10.1007/s11136-014-0733-5

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