Literature DB >> 19390518

Changes in health state utilities with changes in body mass in the Diabetes Prevention Program.

Ronald T Ackermann1, Sharon L Edelstein, K M Venkat Narayan, Ping Zhang, Michael M Engelgau, William H Herman, David G Marrero.   

Abstract

Health utilities are measures of health-related quality of life (HRQL) used in cost-effectiveness research. We evaluated whether changes in body weight were associated with changes in health utilities in the Diabetes Prevention Program (DPP) and whether associations differed by treatment assignment (lifestyle intervention, metformin, placebo) or baseline obesity severity. We constructed physical (PCS-36) and mental component summary (MCS-36) subscales and short-form-6D (SF-6D) health utility index for all DPP participants completing a baseline 36-item short form (SF-36) HRQL assessment (N = 3,064). We used linear regression to test associations between changes in body weight and changes in HRQL indicators, while adjusting for other demographic and behavioral variables. Overall differences in HRQL between treatment groups were highly statistically significant but clinically small after 1 year. In multivariable models, weight change was independently associated with change in SF-6D score (increase of 0.007 for every 5 kg weight loss; P < 0.001), but treatment effects independent of weight loss were not. We found no significant interaction between baseline obesity severity and changes in SF-6D with changes in body weight. However, increases in physical function (PCS-36) with weight loss were greater in persons with higher baseline obesity severity. In summary, improvements in HRQL are associated with weight loss but not with other effects of obesity treatments that are unrelated to weight loss. Although improvements in the SF-6D did not exceed commonly reported thresholds for a minimally important difference (0.04), these changes, if causal, could still have a significant impact on clinical cost-effectiveness estimates if sustained over multiple years.

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Year:  2009        PMID: 19390518      PMCID: PMC3135001          DOI: 10.1038/oby.2009.114

Source DB:  PubMed          Journal:  Obesity (Silver Spring)        ISSN: 1930-7381            Impact factor:   5.002


  31 in total

1.  The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection.

Authors:  J E Ware; C D Sherbourne
Journal:  Med Care       Date:  1992-06       Impact factor: 2.983

Review 2.  Recommendations of the Panel on Cost-effectiveness in Health and Medicine.

Authors:  M C Weinstein; J E Siegel; M R Gold; M S Kamlet; L B Russell
Journal:  JAMA       Date:  1996-10-16       Impact factor: 56.272

3.  A 12-Item Short-Form Health Survey: construction of scales and preliminary tests of reliability and validity.

Authors:  J Ware; M Kosinski; S D Keller
Journal:  Med Care       Date:  1996-03       Impact factor: 2.983

4.  A collection of Physical Activity Questionnaires for health-related research.

Authors:  M A Pereira; S J FitzerGerald; E W Gregg; M L Joswiak; W J Ryan; R R Suminski; A C Utter; J M Zmuda
Journal:  Med Sci Sports Exerc       Date:  1997-06       Impact factor: 5.411

5.  An inventory for measuring clinical anxiety: psychometric properties.

Authors:  A T Beck; N Epstein; G Brown; R A Steer
Journal:  J Consult Clin Psychol       Date:  1988-12

6.  Screening depressed patients in family practice. A rapid technic.

Authors:  A T Beck; R W Beck
Journal:  Postgrad Med       Date:  1972-12       Impact factor: 3.840

7.  The cost-effectiveness of lifestyle modification or metformin in preventing type 2 diabetes in adults with impaired glucose tolerance.

Authors:  William H Herman; Thomas J Hoerger; Michael Brandle; Katherine Hicks; Stephen Sorensen; Ping Zhang; Richard F Hamman; Ronald T Ackermann; Michael M Engelgau; Robert E Ratner
Journal:  Ann Intern Med       Date:  2005-03-01       Impact factor: 25.391

8.  The MOS 36-item Short-Form Health Survey (SF-36): III. Tests of data quality, scaling assumptions, and reliability across diverse patient groups.

Authors:  C A McHorney; J E Ware; J F Lu; C D Sherbourne
Journal:  Med Care       Date:  1994-01       Impact factor: 2.983

9.  The MOS 36-Item Short-Form Health Survey (SF-36): II. Psychometric and clinical tests of validity in measuring physical and mental health constructs.

Authors:  C A McHorney; J E Ware; A E Raczek
Journal:  Med Care       Date:  1993-03       Impact factor: 2.983

10.  Within-trial cost-effectiveness of lifestyle intervention or metformin for the primary prevention of type 2 diabetes.

Authors: 
Journal:  Diabetes Care       Date:  2003-09       Impact factor: 19.112

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  36 in total

1.  Role of metformin in overweight and obese people without diabetes: a systematic review and network meta-analysis.

Authors:  Fuhai Hui; Yingshi Zhang; Tianshu Ren; Xiang Li; Mingyi Zhao; Qingchun Zhao
Journal:  Eur J Clin Pharmacol       Date:  2018-12-03       Impact factor: 2.953

2.  The effect of weight loss on changes in health-related quality of life among overweight and obese women with urinary incontinence.

Authors:  Angela Marinilli Pinto; Leslee L Subak; Sanae Nakagawa; Eric Vittinghoff; Rena R Wing; John W Kusek; William H Herman; Delia Smith West; Miriam Kuppermann
Journal:  Qual Life Res       Date:  2011-12-10       Impact factor: 4.147

3.  The longitudinal association between weight change and health-related quality of life: the KORA S4/F4 cohort study.

Authors:  Michael Laxy; Rolf Holle; Angela Döring; Annette Peters; Matthias Hunger
Journal:  Int J Public Health       Date:  2013-09-03       Impact factor: 3.380

4.  Effect of diet and exercise, alone or combined, on weight and body composition in overweight-to-obese postmenopausal women.

Authors:  Karen E Foster-Schubert; Catherine M Alfano; Catherine R Duggan; Liren Xiao; Kristin L Campbell; Angela Kong; Carolyn E Bain; Ching-Yun Wang; George L Blackburn; Anne McTiernan
Journal:  Obesity (Silver Spring)       Date:  2011-04-14       Impact factor: 5.002

5.  The relationship between SF-6D utility scores and lifestyle factors across three life stages: evidence from the Australian Longitudinal Study on Women's Health.

Authors:  Jeeva Kanesarajah; Michael Waller; Jennifer A Whitty; Gita D Mishra
Journal:  Qual Life Res       Date:  2017-02-03       Impact factor: 4.147

6.  Design and methods of "diaBEAT-it!": a hybrid preference/randomized control trial design using the RE-AIM framework.

Authors:  Fabio A Almeida; Kimberlee A Pardo; Richard W Seidel; Brenda M Davy; Wen You; Sarah S Wall; Erin Smith; Mark H Greenawald; Paul A Estabrooks
Journal:  Contemp Clin Trials       Date:  2014-06-21       Impact factor: 2.226

7.  Changes in body weight and health-related quality of life: 2 cohorts of US women.

Authors:  An Pan; Ichiro Kawachi; Nan Luo; JoAnn E Manson; Walter C Willett; Frank B Hu; Olivia I Okereke
Journal:  Am J Epidemiol       Date:  2014-06-24       Impact factor: 4.897

8.  Cost-Effectiveness of a Weight Loss Intervention: An Adaptation of the Look AHEAD Lifestyle Intervention in the US Military.

Authors:  Karina C Manz; Teresa M Waters; Hannah E Clifton; Mehmet Kocak; Robert C Klesges; G Wayne Talcott; Rebecca A Krukowski
Journal:  Obesity (Silver Spring)       Date:  2019-11-26       Impact factor: 5.002

Review 9.  Intentional weight loss and changes in symptoms of depression: a systematic review and meta-analysis.

Authors:  A N Fabricatore; T A Wadden; A J Higginbotham; L F Faulconbridge; A M Nguyen; S B Heymsfield; M S Faith
Journal:  Int J Obes (Lond)       Date:  2011-02-22       Impact factor: 5.095

10.  A Prospective Programmatic Cost Analysis of Fuel Your Life: A Worksite Translation of DPP.

Authors:  Justin B Ingels; Rebecca L Walcott; Mark G Wilson; Phaedra S Corso; Heather M Padilla; Heather Zuercher; David M DeJoy; Robert J Vandenberg
Journal:  J Occup Environ Med       Date:  2016-11       Impact factor: 2.162

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