Skip to main content

Advertisement

Log in

Comparison and correlates of three preference-based health-related quality-of-life measures among overweight and obese women with urinary incontinence

  • Published:
Quality of Life Research Aims and scope Submit manuscript

Abstract

Purpose

To compare three preference-based health-related quality-of-life (HRQL) measures and examine independent correlates of HRQL among overweight and obese women with urinary incontinence (UI) enrolled in a weight loss intervention trial.

Methods

Participants completed baseline questionnaires, which included the Health Utilities Index 3 (HUI3) and Medical Outcomes Study Short Form-36 (SF-36). The SF-36 was used to derive SF-6D and estimated Quality of Well-Being (eQWB) scores. Height, weight, medical history, incontinence measures, and level of physical activity also were assessed. The intraclass correlation coefficient (ICC) was computed, and differences in mean scores across HRQL measures were examined. Potential correlates of HUI3, SF-6D, and eQWB scores were evaluated using multivariable generalized linear models.

Results

Mean ± SD scores for the HUI3, SF-6D, and eQWB were 0.81 ± 0.18, 0.75 ± 0.10, and 0.71 ± 0.06, respectively. Significant differences were observed across measures (P < 0.0001), and the overall ICC was 0.36. In multivariable analyses, BMI was negatively associated with HUI3 (P = 0.003) and eQWB (P < 0.001), and UI episode frequency was negatively associated with eQWB (P = 0.015) and SF-6D (P < 0.001).

Conclusions

Significant differences in mean utilities across the HUI3, SF-6D, and eQWB indicate that these measures do not assess identical dimensions of HRQL. Both BMI and UI episode frequency were related to HRQL in this cohort; however, the magnitude of the relationship depended on the preference-based measure used. These findings highlight the need to consider the method used to generate HRQL values for calculating quality-adjusted life-years in cost-utility analyses, since choice of method may have a substantial impact on the outcome of the analysis.

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.

Similar content being viewed by others

References

  1. Chiarelli, P. E., Mackenzie, L. A., & Osmotherly, P. G. (2009). Urinary incontinence is associated with an increase in falls: A systematic review. Australian Journal of Physiotherapy, 55(2), 89–95.

    Article  PubMed  Google Scholar 

  2. Currie, C. J., McEwan, P., Poole, C. D., Odeyemi, I. A., Datta, S. N., & Morgan, C. L. (2006). The impact of the overactive bladder on health-related utility and quality of life. British Journal of Urology International, 97(6), 1267–1272.

    Article  Google Scholar 

  3. Flegal, K. M., Graubard, B. I., Williamson, D. F., & Gail, M. H. (2005). Excess deaths associated with underweight, overweight, and obesity. Journal of the American Medical Association, 293, 1861–1867.

    Article  PubMed  CAS  Google Scholar 

  4. Hu, F. B., Manson, J. E., Stampfer, M. J., Colditz, G., Liu, S., Solomon, C. G., et al. (2001). Diet, lifestyle, and the risk of type 2 diabetes mellitus in women. New England Journal of Medicine, 345(11), 790–797.

    Article  PubMed  CAS  Google Scholar 

  5. Danforth, K. N., Townsend, M. K., Lifford, K., Curhan, G. C., Resnick, N. M., & Grodstein, F. (2006). Risk factors for urinary incontinence among middle-aged women. American Journal of Obstetrics and Gynecology, 194(2), 339–345.

    Article  PubMed  Google Scholar 

  6. Hannestad, Y. S., Rortveit, G., Daltveit, A. K., & Hunskaar, S. (2003). Are smoking and other lifestyle factors associated with female urinary incontinence? The Norwegian EPINCONT Study. BJOG: An International Journal of Obstetrics and Gynaecology, 110(3), 247–254.

    Article  Google Scholar 

  7. Coyne, K. S., Zhou, Z., Thompson, C., & Versi, E. (2003). The impact on health-related quality of life of stress, urge and mixed urinary incontinence. British Journal of Urology International, 92(7), 731–735.

    Article  CAS  Google Scholar 

  8. Fontaine, K. R., & Barofsky, I. (2001). Obesity and health-related quality of life. Obesity Reviews, 2, 173–182.

    Article  PubMed  CAS  Google Scholar 

  9. Groessl, E. J., Kaplan, R. M., Barrett-Connor, E., & Ganiats, T. G. (2004). Body mass index and quality of well-being in a community of older adults. American Journal of Preventive Medicine, 26(2), 126–129.

    Article  PubMed  Google Scholar 

  10. Hassan, M. K., Joshi, A. V., Madhavan, S. S., & Amonkar, M. M. (2003). Obesity and health-related quality of life: A cross-sectional analysis of the US population. International Journal of Obesity, 27, 1227–1232.

    Article  PubMed  CAS  Google Scholar 

  11. Hopman, W. M., Berger, C., Joseph, L., Barr, S. I., Gao, Y., Prior, J. C., et al. (2007). The association between body mass index and health-related quality of life: data from CaMos, a stratified population study. Qualilty of Life Research, 16(10), 1595–1603.

    Article  Google Scholar 

  12. Hunskaar, S., & Vinsnes, A. (1991). The quality of life in women with urinary incontinence as measured by the sickness impact profile. Journal of the American Geriatrics Society, 39(4), 378–382.

    PubMed  CAS  Google Scholar 

  13. Jia, H., & Lubetkin, E. I. (2005). The impact of obesity on health-related quality of life in the general adult US population. Journal of Public Health, 27, 156–164.

    Article  PubMed  Google Scholar 

  14. Katz, D. A., McHorney, C. A., & Atkinson, R. L. (2000). Impact of obesity on health-related quality of life in patients with chronic illness. Journal of General Internal Medicine, 15(11), 789–796.

    Article  PubMed  CAS  Google Scholar 

  15. Mittmann, N., Trakas, K., Risebrough, N., & Liu, B. A. (1999). Utility scores for chronic conditions in a community-dwelling population. Pharmacoeconomics, 15(4), 369–376.

    Article  PubMed  CAS  Google Scholar 

  16. Ragins, A. I., Shan, J., Thom, D. H., Subak, L. L., Brown, J. S., & Van Den Eeden, S. K. (2008). Effects of urinary incontinence, comorbidity and race on quality of life outcomes in women. The Journal of Urology, 179(2), 651–655; discussion 655.

    Google Scholar 

  17. Rejeski, W. J., Lang, W., Neiberg, R. H., Van Dorsten, B., Foster, G. D., Maciejewski, M. L., et al. (2006). Correlates of health-related quality of life in overweight and obese adults with type 2 diabetes. Obesity, 14(5), 870–883.

    Article  PubMed  Google Scholar 

  18. Sach, T. H., Barton, G. R., Doherty, M., Muir, K. R., Jenkinson, C., & Avery, A. J. (2007). The relationship between body mass index and health-related quality of life: Comparing the EQ-5D, EuroQol VAS and SF-6D. International Journal of Obesity, 31(1), 189–196.

    Article  PubMed  CAS  Google Scholar 

  19. Schultz, S. E., & Kopec, J. A. (2003). Impact of chronic conditions. Health Reports, 14(4), 41–53.

    PubMed  Google Scholar 

  20. Serrano-Aguilar, P., Munoz-Navarro, S. R., Ramallo-Farina, Y., & Trujillo-Martin, M. M. (2009). Obesity and health related quality of life in the general adult population of the Canary Islands. Quality of Life Research, 18(2), 171–177.

    Article  PubMed  CAS  Google Scholar 

  21. Sundaram, M., Kavookjian, J., Patrick, J. H., Miller, L. A., Madhavan, S. S., & Scott, V. G. (2007). Quality of life, health status and clinical outcomes in Type 2 diabetes patients. Quality of Life Research, 16(2), 165–177.

    Article  PubMed  Google Scholar 

  22. Trakas, K., Oh, P. I., Singh, S., Risebrough, N., & Shear, N. H. (2001). The health status of obese individuals in Canada. International Journal of Obesity, 25(5), 662–668.

    Article  PubMed  CAS  Google Scholar 

  23. Gold, M. R., Siegel, J. E., Russell, L. B., & Weinstein, M. C. (Eds.). (1996). Cost-effectiveness in health and medicine. New York: Oxford University Press.

    Google Scholar 

  24. Furlong, W. J., Feeny, D. H., Torrance, G. W., & Barr, R. D. (2001). The Health Utilities Index (HUI) system for assessing health-related quality of life in clinical studies. Annals of Medicine, 33, 375–384.

    Article  PubMed  CAS  Google Scholar 

  25. Feeny, D., Furlong, W., Torrance, G. W., Goldsmith, C. H., Zhu, Z., DePauw, S., et al. (2002). Multiattribute and single-attribute utility functions for the health utilities index mark 3 system. Medical Care, 40(2), 113–128.

    Article  PubMed  Google Scholar 

  26. Kaplan, R. M., Atkins, C. J., & Timms, R. (1984). Validity of a quality of well-being scale as an outcome measure in chronic obstructive pulmonary disease. Journal of Chronic Diseases, 37(2), 85–95.

    Article  PubMed  CAS  Google Scholar 

  27. Kaplan, R. M., Hartwell, S. L., Wilson, D. K., & Wallace, J. P. (1987). Effects of diet and exercise interventions on control and quality of life in non-insulin-dependent diabetes mellitus. Journal of General Internal Medicine, 2(4), 220–228.

    Article  PubMed  CAS  Google Scholar 

  28. Kaplan, R. M., Ganiats, T. G., Sieber, W. J., & Anderson, J. P. (1998). The quality of well-being scale: Critical similarities and differences with SF-36. International Journal for Quality in Health Care, 10(6), 509–520.

    Article  PubMed  CAS  Google Scholar 

  29. Brazier, J., Roberts, J., & Deverill, M. (2002). The estimation of a preference-based measure of health from the SF-36. Journal of Health Economics, 21(2), 271–292.

    Article  PubMed  Google Scholar 

  30. Brazier, J. E., & Roberts, J. (2004). The estimation of a preference-based measure of health from the SF-12. Medical Care, 42(9), 851–859.

    Article  PubMed  Google Scholar 

  31. Group, Euro Qol. (1990). EuroQol–a new facility for the measurement of health-related quality of life. Health Policy, 16, 199–208.

    Article  Google Scholar 

  32. Shaw, J. W., Johnson, J. A., & Coons, S. J. (2005). US valuation of the EQ-5D health states: Development and testing of the D1 valuation model. Medical Care, 43(3), 203–220.

    Article  PubMed  Google Scholar 

  33. Brazier, J., Deverill, M., Green, C., Harper, R., & Booth, A. (1999). A review of the use of health status measures in economic evaluation. Health Technology Assessment, 3(9), 1–164.

    Google Scholar 

  34. Subak, L. L., Wing, R., West, D. S., Franklin, F., Vittinghoff, E., Creasman, J. M., et al. (2009). Weight loss to treat urinary incontinence in overweight and obese women. New England Journal of Medicine, 360(5), 481–490.

    Article  PubMed  CAS  Google Scholar 

  35. Paffenbarger, R. S., Wing, A. L., & Hyde, R. T. (1978). Physical activity as an index of heart attack risk in college alumni. American Journal of Epidemiology, 108, 161–175.

    PubMed  Google Scholar 

  36. Drummond, M. (2001). Introducing economic and quality of life measurements into clinical studies. Annals of Medicine, 33(5), 344–349.

    Article  PubMed  CAS  Google Scholar 

  37. Horsman, J., Furlong, W., Feeny, D., & Torrance, G. (2003). The Health Utilities Index (HUI): concepts, measurement properties and applications. Health and Quality of Life Outcomes, 1, 54.

    Article  PubMed  Google Scholar 

  38. Grootendorst, P., Feeny, D., & Furlong, W. (2000). Health utilities index mark 3: Evidence of construct validity for stroke and arthritis in a population health survey. Medical Care, 38(3), 290–299.

    Article  PubMed  CAS  Google Scholar 

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

    Google Scholar 

  40. Ware, J. E., Kosinski, M., & Gandek, B. (2000). SF-36 health survey: manual and interpretation guide. Lincoln, RI: QualityMetric Incorporated.

    Google Scholar 

  41. McDonough, C. M., Grove, M. R., Tosteson, T. D., Lurie, J. D., Hilibrand, A. S., & Tosteson, A. N. A. (2005). Comparison of EQ-5D, HUI, and SF-36-derived societal health state values among spine patient outcomes research trial (SPORT) participants. Quality of Life Research, 14, 1321–1332.

    Article  PubMed  Google Scholar 

  42. Fryback, D. G., Lawrence, W. F., Martin, P. A., Klein, R., & Klein, B. E. (1997). Predicting quality of well-being scores from the SF-36: Results from the Beaver Dam health outcomes study. Medical Decision Making, 17(1), 1–9.

    Article  PubMed  CAS  Google Scholar 

  43. Walters, S. J., & Brazier, J. E. (2003). What is the relationship between the minimally important difference and health state utility values? The case of the SF-6D. Health and Quality of Life Outcomes, 1, 4.

    Article  PubMed  Google Scholar 

  44. Walters, S. J., & Brazier, J. E. (2005). Comparison of the minimally important difference for two health state utility measures: EQ-5D and SF-6D. Quality of Life Research, 14(6), 1523–1532.

    Article  PubMed  Google Scholar 

  45. Hollingworth, W., Deyo, R. A., Sullivan, S. D., Emerson, S. S., Gray, D. T., & Jarvik, J. G. (2002). The practicality and validity of directly elicited and SF-36 derived health state preferences in patients with low back pain. Health Economics, 11(1), 71–85.

    Article  PubMed  Google Scholar 

  46. Kaplan, R. M. (2005). The minimally clinically important difference in generic utility-based measures. COPD: Journal of Chronic Obstructive Pulmonary Disease, 2(1), 91–97.

    Article  PubMed  Google Scholar 

  47. Cohen, J. (1992). A power primer. Psychological Bulletin, 112(1), 155–159.

    Article  PubMed  CAS  Google Scholar 

  48. Shrout, P. E., & Fleiss, J. L. (1979). Intraclass correlations: uses in assessing rater reliability. Psychological Bulletin, 86(2), 420–428.

    Article  PubMed  CAS  Google Scholar 

  49. Conner-Spady, B., & Suarez-Almazor, M. E. (2003). Variation in the estimation of quality-adjusted life-years by different preference-based instruments. Medical Care, 41(7), 791–801.

    Article  PubMed  Google Scholar 

  50. Fryback, D. G., Dunham, N. C., Palta, M., Hanmer, J., Buechner, J., Cherepanov, D., et al. (2007). US norms for six generic health-related quality-of-life indexes from the national health measurement study. Medical Care, 45(12), 1162–1170.

    Article  PubMed  Google Scholar 

  51. Hanmer, J., Lawrence, W. F., Anderson, J. P., Kaplan, R. M., & Fryback, D. G. (2006). Report of nationally representative values for the noninstitutionalized US adult population for 7 health-related quality-of-life scores. Medical Decision Making, 26(4), 391–400.

    Article  PubMed  Google Scholar 

  52. Kopec, J. A., & Willison, K. D. (2003). A comparative review of four preference-weighted measures of health-related quality of life. Journal of Clinical Epidemiology, 56(4), 317–325.

    Article  PubMed  Google Scholar 

  53. Marra, C. A., Esdaile, J. M., Guh, D., Kopec, J. A., Brazier, J. E., Koehler, B. E., et al. (2004). A comparison of four indirect methods of assessing utility values in rheumatoid arthritis. Medical Care, 42(11), 1125–1131.

    Article  PubMed  Google Scholar 

  54. O’Brien, B. J., Spath, M., Blackhouse, G., Severens, J. L., Dorian, P., & Brazier, J. (2003). A view from the bridge: Agreement between the SF-6D utility algorithm and the health utilities index. Health Economics, 12(11), 975–981.

    Article  PubMed  Google Scholar 

  55. Moock, J., & Kohlmann, T. (2008). Comparing preference-based quality of life measures: Results from rehabilitation patients with musculoskeletal, cardiovascular, or psychosomatic disorders. Quality of Life Research, 17, 485–495.

    Article  PubMed  Google Scholar 

  56. Kortt, M. A., & Clarke, P. M. (2005). Estimating utility values for health states of overweight and obese individuals using the SF-36. Quality of Life Research, 14(10), 2177–2185.

    Article  PubMed  Google Scholar 

Download references

Acknowledgments

The authors wish to acknowledge the contribution made by PRIDE investigators, staff, consultants, sponsor and Data and Safety Monitoring Board: The University of Alabama, Birmingham—Frank Franklin, MD, PhD (Principal Investigator), Holly Richter, PhD, MD (Co-Investigator), Leslie Abdo, BSN, RN, CCRC, Charlotte Bragg, MS, RD, LD, Kathy Burgio, PhD (Investigator), Kathy Carter,RN, BSN, Juan Dunlap, Stacey Gilbert, MPH, Sara Hannum, Anne Hubbell, MS, RD, LD, Karen Marshall, Lisa Pair, CRNP, Penny Pierce, RN, BSN, Clara Smith, MS, RD, Sue Thompson, RN, Janet Turman, Audrey Wrenn, MAEd. The Miriam Hospital—Rena Wing, PhD (Principal Investigator), Amy Gorin, PhD (Co-Investigator), Deborah Myers, MD (Co-Investigator), Tammy Monk, MS, Rheanna Ata, Megan Butryn, PhD, Pamela Coward, MEd, RD, Linda Gay, MS, RD, CDE, Jacki Hecht, MSN, RN, Anita Lepore-Ally, RN, Heather Niemeier, PhD, Yael Nillni, Angela Pinto, PhD, Deborah Ranslow-Robles, Phlebotomist/MedAsst, Natalie Robinson, MS, RD, Deborah Sepinwall, PhD, Margaret E. Hahn, MSN, RNP, Vivian W. Sung, MD, MPH, Victoria Winn, Nicole Zobel. The University of Arkansas for Medical Sciences—Delia West, PhD (Investigator). The University of Pennsylvania—Gary Foster, PhD (Consultant). The University of California, San Francisco (Coordinating Center)—Deborah Grady, MD, MPH (Principal Investigator), Leslee Subak, MD (Co-PI), Judith Macer, Ann Chang, Jennifer Creasman, MSPH, Judy Quan, PhD, Eric Vittinghoff, PhD, Jennifer Yang. Supported by grants #U01 DK067860, U01 DK067861 and U01 DK067862 from The National Institute of Diabetes and Digestive and Kidney Diseases—John W. Kusek, PhD, Leroy M. Nyberg, MD, PhD (Project Officers). Preparation of this manuscript was supported by 5K23DK075645 from the National Institute of Diabetes and Digestive and Kidney Diseases. Data and Safety Monitoring Board. The University of Utah Health Sciences Center—Ingrid Nygaard, MD (DSMB Chairperson). The Children’s Hospital Boston—Leslie Kalish, ScD. The University of California, San Diego—Charles Nager, MD. The Medical University of South Carolina—Patrick M. O’Neil, PhD. The Johns Hopkins School of Medicine—Cynthia S. Rand, PhD. The University of Virginia Health Systems—William D. Steers, MD.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Angela Marinilli Pinto.

Additional information

For the Program to Reduce Incontinence by Diet and Exercise (PRIDE). Clinical Trial Registration for “PRIDE” is NCT00091988 in www.clinicaltrials.gov

Rights and permissions

Reprints and permissions

About this article

Cite this article

Pinto, A.M., Kuppermann, M., Nakagawa, S. et al. Comparison and correlates of three preference-based health-related quality-of-life measures among overweight and obese women with urinary incontinence. Qual Life Res 20, 1655–1662 (2011). https://doi.org/10.1007/s11136-011-9896-5

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11136-011-9896-5

Keywords

Navigation