Abstract
Purpose
The objective of the paper is to describe trajectories of health-related quality of life (HRQL) associated with categories of body mass index (BMI): underweight, normal weight, overweight, obese class I, and obese classes II and III.
Methods
Data come from the longitudinal Canadian National Population Health Survey. Analyses are based on data for 3,864 men and 4,745 women who were 40+ in 1998/1999 and followed through 2006/2007. HRQL was measured with the Health Utilities Index Mark 3. Multi-level growth modeling was used.
Results
HRQL declined with age. For men, there was a large HRQL decrement for being underweight; trajectories for all other BMI categories were very similar. For women being underweight was associated with higher HRQL at younger ages but lower at older ages. Otherwise, for women, HRQL was ordered from highest to lowest: normal, overweight, obese class I, and obese classes II and III.
Conclusions
Given that excess weight is a risk factor for mortality and the development of chronic conditions, the HRQL results for men are surprising. The HRQL results for women may reflect both the importance of body image on mental health and the health effects of excess weight.
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Abbreviations
- BMI:
-
Body mass index
- HRQL:
-
Health-related quality of life
- HUI3:
-
Health Utilities Index Mark 3
- NHANES:
-
National Health and Nutrition Examination Survey
- NPHS:
-
National Population Health Survey
- RR:
-
Relative risk
- SF-36:
-
Short-Form 36
- US:
-
United States
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Acknowledgments
The authors acknowledge the contributions of Jillian Oderkirk and Kathy Easter to the research reported here. The authors also acknowledge the constructive comments and suggestions made by three anonymous reviewers. This study was supported by National Institutes of Health grants AG027129 from the National Institute on Aging and DK080277 from the National Institute of Diabetes and Digestive and Kidney Diseases. The funding source had no involvement in the collection, analysis, and interpretation of the data, in the writing of the paper, and did not review or approve of the manuscript prior to its submission for publication. The work reported here was previously presented at the Canadian Institute for Health Information and Statistics Canada Data Users Conference 2010 in Ottawa, September 20–21, 2010; Department of Clinical Epidemiology and Biostatistics CE & B Rounds, McMaster University, Hamilton, Ontario, September 22, 2010; and 17th Annual Meeting of the International Society for Quality of Life Research, London, October 27–30, 2010. The authors are grateful for the constructive comments received at those three presentations.
Conflict of interest
It should be noted that David Feeny has a proprietary interest in Health Utilities Incorporated (HUInc.), Dundas, Ontario, Canada. HUInc. distributes copyrighted Health Utilities Index (HUI) materials and provides methodological advice on the use of HUI. It should be noted that HUInc. received no payment for the use of HUI in the study reported in this manuscript. None of the other authors declare any competing interests.
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Appendix
Appendix
As noted in the main text of the paper, overall HUI3 scores were highly skewed and were transformed using the arcsine transformation to achieve normally distributed residuals.
The methods are explained in detail in Bernier et al. [52]. The formula used to adjust HUI3 values is given below:
Due to this adjustment and transformation, coefficients from growth curve models cannot be interpreted directly as changes in HUI3. Therefore, it was necessary to back-transform predicted values to the original metric prior to graphing the results.
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Garner, R.E., Feeny, D.H., Thompson, A. et al. Bodyweight, gender, and quality of life: a population-based longitudinal study. Qual Life Res 21, 813–825 (2012). https://doi.org/10.1007/s11136-011-9989-1
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DOI: https://doi.org/10.1007/s11136-011-9989-1