Abstract
Methods
We conducted a longitudinal cohort analysis of 338 overweight and obese women with UI enrolled in a randomized clinical trial
comparing a behavioral weight loss intervention to an educational control condition. At baseline, 6, and 18 months, health
utilities were estimated using the Health Utilities Index Mark 3 (HUI3), a transformation of the SF-36 to the preference-based
SF-6D, and the estimated Quality of Well-Being (eQWB) score (a summary calculated from the SF-36 physical functioning, mental
health, bodily pain, general health perceptions, and role limitations–physical subscale scores). Potential predictors of changes
in these outcomes were examined using generalized estimating equations.
comparing a behavioral weight loss intervention to an educational control condition. At baseline, 6, and 18 months, health
utilities were estimated using the Health Utilities Index Mark 3 (HUI3), a transformation of the SF-36 to the preference-based
SF-6D, and the estimated Quality of Well-Being (eQWB) score (a summary calculated from the SF-36 physical functioning, mental
health, bodily pain, general health perceptions, and role limitations–physical subscale scores). Potential predictors of changes
in these outcomes were examined using generalized estimating equations.
Results
In adjusted multivariable models, weight loss was associated with improvement in HUI3, SF-6D, and eQWB at 6 and 18 months
(P < 0.05). Increases in physical activity also were independently associated with improvement in HUI3 (P = 0.01) and SF-6D (P = 0.006) scores at 18 months. In contrast, reduction in UI frequency did not predict improvements in HRQL at 6 or 18 months.
(P < 0.05). Increases in physical activity also were independently associated with improvement in HUI3 (P = 0.01) and SF-6D (P = 0.006) scores at 18 months. In contrast, reduction in UI frequency did not predict improvements in HRQL at 6 or 18 months.
Conclusion
Weight loss and increased physical activity, but not reduction in UI frequency, were strongly associated with improvements
in health utilities measured by the HUI3, SF-6D, and eQWB. These findings provide important information that can be used to
inform cost–utility analyses of weight loss interventions.
in health utilities measured by the HUI3, SF-6D, and eQWB. These findings provide important information that can be used to
inform cost–utility analyses of weight loss interventions.
- Content Type Journal Article
- Pages 1-10
- DOI 10.1007/s11136-011-0086-2
- Authors
- Angela Marinilli Pinto, Psychology Department, Baruch College, CUNY, 55 Lexington Avenue, B8-215, New York, NY 10010, USA
- Leslee L. Subak, Department of Obstetrics, Gynecology & Reproductive Sciences, University of California, San Francisco (UCSF), San Francisco, CA, USA
- Sanae Nakagawa, Department of Obstetrics, Gynecology & Reproductive Sciences, University of California, San Francisco (UCSF), San Francisco, CA, USA
- Eric Vittinghoff, Department of Epidemiology & Biostatistics, UCSF, San Francisco, CA, USA
- Rena R. Wing, Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI, USA
- John W. Kusek, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD, USA
- William H. Herman, Department of Internal Medicine and Epidemiology, University of Michigan, Ann Arbor, MI, USA
- Delia Smith West, Department of Health Behavior and Health Education, University of Arkansas for Medical Sciences, Little Rock, AR, USA
- Miriam Kuppermann, Department of Obstetrics, Gynecology & Reproductive Sciences, University of California, San Francisco (UCSF), San Francisco, CA, USA
- Journal Quality of Life Research
- Online ISSN 1573-2649
- Print ISSN 0962-9343