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Qual Life Res. 2014 May;23(4):1371-6. doi: 10.1007/s11136-013-0557-8. Epub 2013 Oct 16.

The impact of weight loss on health-related quality-of-life: implications for cost-effectiveness analyses.

Author information

1
Division of Metabolism, Endocrinology and Diabetes, Department of Internal Medicine, University of Michigan, 24 Frank Lloyd Wright Drive, Lobby C, Suite 1300, PO Box 451, Ann Arbor, MI, 48106-0451, USA, arothber@umich.edu.

Abstract

PURPOSE:

To assess the impact of weight loss on health-related quality-of-life (HRQL), to describe the factors associated with improvements in HRQL after weight loss, and to assess the relationship between obesity as assessed by body mass index (BMI) and HRQL before and after weight loss.

METHODS:

We studied 188 obese patients with BMI ≥ 32 kg/m(2) with one or more comorbidities or ≥35 kg/m(2). All patients had baseline and follow-up assessments of BMI and HRQL using the EuroQol (EQ-5D) and its visual analog scale (VAS) before and after 6 months of medical weight loss that employed very low-calorie diets, physical activity, and intensive behavioral counseling.

RESULTS:

At baseline, age was 50 ± 8 years (mean ± SD), BMI was 40. 0 ± 5.0 kg/m(2), EQ-5D-derived health utility score was 0.85 ± 0.13, and VAS-reported quality-of-life was 0.67 ± 0.18. At 6-month follow-up, BMI decreased by 7.0 ± 3.2 kg/m(2), EQ-5D increased by 0.06 [interquartile range (IQR) 0.06-0.17], and VAS increased by 0.14 (IQR 0.04-0.23). In multivariate analyses, improvement in EQ-5D and VAS were associated with lower baseline BMI, greater reduction in BMI at follow-up, fewer baseline comorbidities, and lower baseline HRQL. For any given BMI category, EQ-5D and VAS tended to be higher at follow-up than at baseline.

CONCLUSION:

Measured improvements in HRQL between baseline and follow-up were greater than predicted by the reduction in BMI at follow-up. If investigators use cross-sectional data to estimate changes in HRQL as a function of BMI, they will underestimate the improvement in HRQL associated with weight loss and underestimate the cost-utility of interventions for obesity treatment.

PMID:
24129672
PMCID:
PMC3966959
DOI:
10.1007/s11136-013-0557-8
[Indexed for MEDLINE]
Free PMC Article

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