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The prototype of a preference-based index of weight-related quality of life: demonstrating the possibilities

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Abstract

Purpose

Evidence for comparative and cost-effectiveness of weight-loss interventions is lacking as there are no obesity-specific measures fit for this purpose. This study aimed to estimate the extent to which a prototype of a brief, multi-dimensional obesity-specific Preference-Based Index of Weight-Related Quality of Life (PBI-WRQL) could fill this gap.

Methods

Longitudinal data from a Canadian bariatric cohort was used. Forty-eight items from the IWQoL-Lite, EQ-5D-3L, and SF-12V2 were mapped onto the WHO ICF domains, and one item was chosen for the dimension based on fit to the Rasch model. Individuals’ health ratings (0–100) were regressed on each dimension, and the regression coefficients for the response options were used as weights to generate a total score. Generalized estimation equations were used to compare measure parameters across groups and levels of converging constructs.

Results

Pre-surgery data were available on 201 people (Women: 82%; BMI: 48.8 ± 6.7 kg/m2; age: 43 ± 9.0 years) and on 125 (62%) at 6 months post-bariatric surgery. Seven dimensions with three response options formed the PB-WRQL prototype: Mobility/Physical Function, Pain, Depression, Participation, Energy, Peripheral Edema, and Dyspnea. The prototype showed substantial change (mean + 40) with bariatric surgery, higher than the EQ-5D (mean + 11.5). The prototype showed the strongest relationship with BMI at baseline (t = − 3.68) and was the most sensitive to change in BMI (t = − 3.42).

Conclusion

This study demonstrates that a brief, 7-dimension index weighted by health impact performed as well as the 31-item IWQoL-Lite and better than the EQ-5D-3L. These findings demonstrate the potential value of the brief PB-WRQL prototype index and support its further development using preference weights to reflect the current generation’s needs and concerns.

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Data availability

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

References

  1. Lean, M. E., & Malkova, D. (2016). Altered gut and adipose tissue hormones in overweight and obese individuals: Cause or consequence? International Journal of Obesity, 40, 622–632.

    Article  CAS  PubMed  Google Scholar 

  2. Greenway, F. L. (2015). Physiological adaptations to weight loss and factors favouring weight regain. International Journal of Obesity, 39, 1188–1196.

    Article  CAS  PubMed  Google Scholar 

  3. WHOQOL Group. (1995). The World Health Organisation quality of life assessment (WHOQOL): Position paper from the World Health Organisation. Social Science and Medicine, 41, 1403–1409.

    Article  Google Scholar 

  4. Wood-Dauphinee, S. (1999). Assessing quality of life in clinical research: From where have we come and where are we going? Journal of Clinical Epidemiology, 52, 355–363.

    Article  CAS  PubMed  Google Scholar 

  5. Mayo, N. E. (2015). Dictionary of quality of life and health outcome measurement (1st ed.). Milwaukee: International Society of Quality of Life Research (ISOQOL).

  6. Laxy, M., Teuner, C., Holle, R., & Kurz, C. (2018). The association between BMI and health-related quality of life in the US population: Sex, age and ethnicity matters. International Journal of Obesity, 42, 318–326.

    Article  CAS  PubMed  Google Scholar 

  7. Ul-Haq, Z., Mackay, D. F., Fenwick, E., & Pell, J. P. (2012). Impact of metabolic comorbidity on the association between body mass index and health-related quality of life: A Scotland-wide cross-sectional study of 5,608 participants. BMC Public Health, 12, 143.

    Article  PubMed  PubMed Central  Google Scholar 

  8. 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 (Oxford, England), 27, 156–164.

    Article  Google Scholar 

  9. Pilone, V., Mozzi, E., Schettino, A. M., Furbetta, F., Di Maro, A., Giardiello, C., Battistoni, M., Gardinazzi, A., Micheletto, G., Perrotta, N., & Busetto, L. (2012). Improvement in health-related quality of life in first year after laparoscopic adjustable gastric banding. Surgery for Obesity and Related Diseases, 8, 260–268.

    Article  PubMed  Google Scholar 

  10. Twells, L. K., Driscoll, S., Gregory, D. M., Lester, K., Fardy, J. M., & Pace, D. (2017). Morbidity and health-related quality of life of patients accessing laparoscopic sleeve gastrectomy: A single-centre cross-sectional study in one province of Canada. BMC Obesity, 4, 40.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Ahmed, S., Berzon, R. A., Revicki, D. A., Lenderking, W. R., Moinpour, C. M., Basch, E., Reeve, B. B., & Wu, A. W. (2012). The use of patient-reported outcomes (PRO) within comparative effectiveness research: Implications for clinical practice and health care policy. Medical Care, 50, 1060–1070.

    Article  PubMed  Google Scholar 

  12. Bhaskaran, K., Douglas, I., & Forbes, H. (2014). dos-Santos-Silva I, Leon DA, Smeeth L: Body-mass index and risk of 22 specific cancers: A population-based cohort study of 5·24 million UK adults. The Lancet, 384, 755–765.

    Article  Google Scholar 

  13. Berrington de Gonzalez, A., Hartge, P., Cerhan, J. R., Flint, A. J., Hannan, L., MacInnis, R. J., Moore, S. C., Tobias, G. S., Anton-Culver, H., Freeman, L. B., Lawrence Beeson, W., Clipp, S. L., English, D. R., Folsom, A. R., Freedman, M., Giles, G., Hakansson, N., Henderson, K. D., Hoffman-Bolton, J., … Thun, M. J. (2010). Body-mass index and mortality among 1.46 million white adults. New England Journal of Medicine, 363, 2211–2219.

    Article  CAS  PubMed  Google Scholar 

  14. Cawley, J., & Meyerhoefer, C. (2012). The medical care costs of obesity: An instrumental variables approach. Journal of Health Economics, 31, 219–230.

    Article  PubMed  Google Scholar 

  15. Berzon, R. A., Mauskopf, J. A., & Simeon, G. P. (1996). Choosing a health profile (descriptive) and/or a patient-preference (utility) measure for a clinical trial. In B. S. Philadelphia (Ed.), Quality of life and pharmaeconomics in clinical trials (pp. 375–379). Lippincott-Raven Publishers.

    Google Scholar 

  16. Kind, P. (2005). Values and valuation in the measurement of HRQoL. In P. M. Fayers & R. Hays (Eds.), Assessing quality of life in clinical trials (pp. 391–404). Oxford University Press Inc.

    Google Scholar 

  17. Brazier, J., Ratcliffe, J., Salomon, J. A., & Tsuchiya, A. (2007). Measuring and valuing health benefits for economic evaluation. Oxford University Press Inc.

    Google Scholar 

  18. Feeny, D., Torrance, G. W., & Furlong, W. (1996). Health utilities index. In B. S. Philadelphia (Ed.), Quality of life and pharmaeconomics in clinicals trials (pp. 239–252). Lippincott-Raven Publishers.

    Google Scholar 

  19. Feeny, D. (2005). Preference-based measures: Utility and quality-adjusted life years. In P. Fayers & R. Hays (Eds.), Assessing quality of life in clinical trials (pp. 405–429). Oxford University Press.

    Google Scholar 

  20. Xia, Q., Campbell, J. A., Ahmad, H., Si, L., de Graaff, B., Otahal, P., & Palmer, A. J. (2020). Health state utilities for economic evaluation of bariatric surgery: A comprehensive systematic review and meta-analysis. Obesity Reviews, 21, e13028.

    PubMed  Google Scholar 

  21. EuroQol Research Foundation: EQ-5D-3L User Guide: Basic information on how to use the EQ-5D-3L instrument. https://euroqol.org/publications/user-guides. Accessed 21 Feb 2022.

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

    Article  CAS  PubMed  Google Scholar 

  23. Warkentin, L. M., Das, D., Majumdar, S. R., Johnson, J. A., & Padwal, R. S. (2014). The effect of weight loss on health-related quality of life: Systematic review and meta-analysis of randomized trials. Obesity Reviews, 15, 169–182.

    Article  CAS  PubMed  Google Scholar 

  24. Moga, A. M., Twells, L. K., Forhan, M., & Mayo, N. E. (2021). Using natural language processing to identify health and life areas that matter to people living with obesity across the globe. Quality Life Research, 30, 1–177.

    Google Scholar 

  25. US Food and Drug Administration (2009) Guidance for industry on patient-reported outcome measures: Use in medical product development to support labeling claims 74: 65132–65133.

  26. Ludwig, K., Ramos-Goñi, J. M., Oppe, M., Kreimeier, S., & Greiner, W. (2021). To what extent do patient preferences differ from general population preferences? Value in Health, 24, 1343–1349.

    Article  PubMed  Google Scholar 

  27. Col, N. F., Solomon, A. J., Springmann, V., Garbin, C. P., Ionete, C., Pbert, L., Alvarez, E., Tierman, B., Hopson, A., Kutz, C., et al. (2018). Whose preferences matter? A patient-centered approach for eliciting treatment goals. Medical Decision Making, 38, 44–55.

    Article  PubMed  Google Scholar 

  28. Moga, A. M., Twells, L., Ahmed, S., & Mayo, E. N. (2018). Methodology for developing preference-based measures from the patient’s perspective: An example from the development of a weight related quality of life index. Quality of Life Research, 27, S188.

    Google Scholar 

  29. Twells, L. K., Gregory, D. M., Midodzi, W. K., Dillon, C., Kovacs, C. S., MacDonald, D., Lester, K. K., Pace, D., Smith, C., Boone, D., & Murphy, R. (2016). The Newfoundland and labrador bariatric surgery cohort study: Rational and study protocol. BMC Health Services Research, 16, 618.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Falk, V., Twells, L., Gregory, D., Murphy, R., Smith, C., Boone, D., & Pace, D. (2016). Laparoscopic sleeve gastrectomy at a new bariatric surgery centre in Canada: 30-Day complication rates using the Clavien-Dindo classification. Canadian Journal of Surgery, 59, 93–97.

    Article  PubMed Central  Google Scholar 

  31. Gregory, D. M., Twells, L. K., Lester, K. K., Midodzi, W. K., Pedersen, M. R., Pace, D., Smith, C., Boone, D., Randell, E. W., & Kovacs, C. S. (2018). Preoperative and postoperative assessments of biochemical parameters in patients with severe obesity undergoing laparoscopic sleeve gastrectomy. Obesity Surgery, 28, 2261–2271.

    Article  PubMed  Google Scholar 

  32. Lau, D. C., Douketis, J. D., Morrison, K. M., Hramiak, I. M., Sharma, A. M., & Ur, E. (2007). 2006 Canadian clinical practice guidelines on the management and prevention of obesity in adults and children [summary]. CMAJ, 176, S1-13.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Bansback, N., Tsuchiya, A., Brazier, J., & Anis, A. (2012). Canadian valuation of EQ-5D health states: Preliminary value set and considerations for future valuation studies. PLoS ONE, 7, e31115.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Kolotkin, R. L., Crosby, R. D., Kosloski, K. D., & Williams, G. R. (2001). Development of a brief measure to assess quality of life in obesity. Obesity Research, 9, 102–111.

    Article  CAS  PubMed  Google Scholar 

  35. Ware, J., Jr., Kosinski, M., & Keller, S. D. (1996). A 12-item short-form health survey: Construction of scales and preliminary tests of reliability and validity. Medical Care, 34, 220–233.

    Article  PubMed  Google Scholar 

  36. Ware, J., Jr., Kosinski, M., & Keller, S. D. (1995). How to score the SF-12 physical and mental health summary scale. The Health Institute, New England Medical Center.

    Google Scholar 

  37. Moga, A. M., Mayo, E. N., & Twells, L. K. (2020). A brief prototype weight-related quality of life index performs as well as or better than weight specific or generic measures in bariatric surgery sample. Quality of Life Research, 29, 101.

    Google Scholar 

  38. Moga, A. M., Mayo, E. N., & Twells, L. (2019). Towards the development of a preference-based weight related quality of life (WRQL) index: Proof-of-concept. Quality of Life Research, 28, S17.

    Google Scholar 

  39. Wasserstein, R. L., & Lazar, N. A. (2016). The ASA statement on p-values: Context, process, and purpose. The American Statistician, 70, 129–133.

    Article  Google Scholar 

  40. World Health Organisation. International Classification of Functioning, Disability and Health (ICF). 2002. https://www.who.int/standards/classifications/international-classification-of-functioning-disability-and-health. Accessed 15 Sep 2021.

  41. Cieza, A., Geyh, S., Chatterji, S., Kostanjsek, N., Ustun, B., & Stucki, G. (2005). ICF linking rules: An update based on lessons learned. Journal of Rehabilitation Medicine, 37, 212–218.

    Article  PubMed  Google Scholar 

  42. Tessier, A., Mayo, N. E., & Cieza, A. (2011). Content identification of the IWQOL-lite with the international classification of functioning, disability and health. Quality of Life Research, 20, 467–477.

    Article  PubMed  Google Scholar 

  43. Young, T. A., Yang, Y., Brazier, J. E., & Tsuchiya, A. (2010). The use of rasch analysis in reducing a large condition-specific instrument for preference valuation: The case of moving from AQLQ to AQL-5D. Medical Decision Making, 31, 195–210.

    Article  PubMed  Google Scholar 

  44. Young, T., Yang, Y., Brazier, J. E., Tsuchiya, A., & Coyne, K. (2009). The first stage of developing preference-based measures: Constructing a health-state classification using Rasch analysis. Quality of Life Research, 18, 253–265.

    Article  PubMed  Google Scholar 

  45. Goodwin, E., & Green, C. (2016). A systematic review of the literature on the development of condition-specific preference-based measures of health. Applied Health Economics and Health Policy, 14, 161–183.

    Article  PubMed  Google Scholar 

  46. Kuspinar, A., Finch, L., Pickard, S., & Mayo, N. E. (2014). Using existing data to identify candidate items for a health state classification system in multiple sclerosis. Quality of Life Research, 23, 1445–1457.

    Article  PubMed  Google Scholar 

  47. Brazier, J., Ratcliffe, J., Salomon, J. A., & Tsuchiya, A. (2017). Measuring and valuing health benefits for economic evaluation (2nd ed.). Oxford University Press.

    Google Scholar 

  48. Hubbard, A. E., Ahern, J., Fleischer, N. L., Van der Laan, M., Lippman, S. A., Jewell, N., Bruckner, T., & Satariano, W. A. (2010). To GEE or not to GEE: Comparing population average and mixed models for estimating the associations between neighborhood risk factors and health. Epidemiology, 21, 467–474.

    Article  PubMed  Google Scholar 

  49. Mafort, T. T., Rufino, R., Costa, C. H., & Lopes, A. J. (2016). Obesity: Systemic and pulmonary complications, biochemical abnormalities, and impairment of lung function. Multidiscip Respir Med, 11, 28.

    Article  PubMed  PubMed Central  Google Scholar 

  50. Bernhardt, V., Stickford, J. L., Bhammar, D. M., & Babb, T. G. (2016). Aerobic exercise training without weight loss reduces dyspnea on exertion in obese women. Respiratory Physiology & Neurobiology, 221, 64–70.

    Article  Google Scholar 

  51. Fife, C. E., & Carter, M. J. (2008). Lymphedema in the morbidly obese patient: Unique challenges in a unique population. Ostomy/Wound Management, 54, 44–56.

    PubMed  Google Scholar 

  52. O’Malley, E., Ahern, T., Dunlevy, C., Lehane, C., Kirby, B., & O’Shea, D. (2014). Obesity-related chronic lymphoedema-like swelling and physical function. QJM: An International Journal of Medicine, 108, 183–187.

    Article  Google Scholar 

  53. Kolotkin, R. L., Norquist, J. M., Crosby, R. D., Suryawanshi, S., Teixeira, P. J., Heymsfield, S. B., Erondu, N., & Nguyen, A. M. (2009). One-year health-related quality of life outcomes in weight loss trial participants: Comparison of three measures. Health & Quality of Life Outcomes, 7, 53.

    Article  Google Scholar 

  54. Therrien, F., Marceau, P., Turgeon, N., Biron, S., Richard, D., & Lacasse, Y. (2011). The laval questionnaire: A new instrument to measure quality of life in morbid obesity. Health & Quality of Life Outcomes, 9, 66.

    Article  Google Scholar 

  55. Kolotkin, R. L., & Andersen, J. R. (2017). A systematic review of reviews: Exploring the relationship between obesity, weight loss and health-related quality of life. Clinical Obesity, 7, 273–289.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  56. Mayo, N. E., Aburub, A., Brouillette, M. J., Kuspinar, A., Moriello, C., Rodriguez, A. M., & Scott, S. (2017). In support of an individualized approach to assessing quality of life: Comparison between Patient Generated Index and standardized measures across four health conditions. Quality of Life Research, 26, 601–609.

    Article  PubMed  Google Scholar 

  57. Rozjabek, H., Fastenau, J., LaPrade, A., & Sternbach, N. (2020). Adult obesity and health-related quality of life, patient activation, work productivity, and weight loss behaviors in the United States. Diabetes Metabolic Syndrome and Obesity, 13, 2049–2055.

    Article  Google Scholar 

  58. Busutil, R., Espallardo, O., Torres, A., Martinez-Galdeano, L., Zozaya, N., & Hidalgo-Vega, A. (2017). The impact of obesity on health-related quality of life in Spain. Health and Quality of Life Outcomes, 15, 197.

    Article  PubMed  PubMed Central  Google Scholar 

  59. Brazier, J. E., Kolotkin, R. L., Crosby, R. D., & Williams, G. R. (2004). Estimating a preference-based single index for the impact of weight on quality of life-lite (IWQOL-Lite) instrument from the SF-6D. Value in Health, 7, 490–498.

    Article  PubMed  Google Scholar 

  60. Engel, S. G., Crosby, R. D., Kolotkin, R. L., Hartley, G. G., Williams, G. R., Wonderlich, S. A., & Mitchell, J. E. (2003). Impact of weight loss and regain on quality of life: Mirror image or differential effect? Obesity Research, 11, 1207–1213.

    Article  PubMed  Google Scholar 

  61. Pan, H.-J., Cole, B. M., & Geliebter, A. (2011). The benefits of body weight loss on health-related quality of life. Journal of the Chinese Medical Association, 74, 169–175.

    Article  PubMed  Google Scholar 

  62. Canetti, L., Elizur, Y., Karni, Y., & Berry, E. M. (2013). Health-related quality of life changes and weight reduction after bariatric surgery vs. a weight-loss program. Israel Journal of Psychiatry and Related Sciences, 50, 194–200.

    PubMed  Google Scholar 

  63. Hageman, P. A., Mroz, J. E., Yoerger, M. A., & Pullen, C. H. (2019). Weight loss is associated with improved quality of life among rural women completers of a web-based lifestyle intervention. PLoS ONE, 14, e0225446.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  64. Lindekilde, N., Gladstone, B. P., Lubeck, M., Nielsen, J., Clausen, L., Vach, W., & Jones, A. (2015). The impact of bariatric surgery on quality of life: A systematic review and meta-analysis. Obesity Reviews, 16, 639–651.

    Article  CAS  PubMed  Google Scholar 

  65. Tayyem, R., Ali, A., Atkinson, J., & Martin, C. R. (2011). Analysis of health-related quality-of-life instruments measuring the impact of bariatric surgery: Systematic review of the instruments used and their content validity. Patient, 4, 73–87.

    Article  PubMed  Google Scholar 

  66. Grimby, G., Tennant, A., & Tesio, L. (2012). The use of raw scores from ordinal scales: Time to end malpractice? Journal of Rehabilitation Medicine, 44, 97–98.

    Article  PubMed  Google Scholar 

  67. Kersten, P., Ashburn, A., George, S., & Low, J. (2010). The subjective index for physical and social outcome (SIPSO) in stroke: Investigation of its subscale structure. BMC Neurology, 10, 26.

    Article  PubMed  PubMed Central  Google Scholar 

  68. Stucki, G., Daltroy, L., Katz, J. N., Johannesson, M., & Liang, M. H. (1996). Interpretation of change scores in ordinal clinical scales and health status measures: The whole may not equal the sum of the parts. Journal of Clinical Epidemiology, 49, 711–717.

    Article  CAS  PubMed  Google Scholar 

  69. Merbitz, C., Morris, J., & Grip, J. C. (1989). Ordinal scales and foundations of misinference. Archives of Physical Medicine and Rehabilitation, 70, 308–312.

    CAS  PubMed  Google Scholar 

  70. Fayers, P. M., & Hand, D. J. (1997). Factor analysis, causal indicators and quality of life. Quality of Life Research. https://doi.org/10.1023/A:1026490117121

    Article  PubMed  Google Scholar 

  71. Halloran, K., Padwal, R. S., Johnson-Stoklossa, C., Sharma, A. M., & Birch, D. W. (2011). Income status and approval for bariatric surgery in a publicly funded regional obesity program. Obesity Surgery, 21, 373–378.

    Article  PubMed  Google Scholar 

  72. Martin, M., Beekley, A., Kjorstad, R., & Sebesta, J. (2010). Socioeconomic disparities in eligibility and access to bariatric surgery: A national population-based analysis. Surgery for Obesity and Related Diseases, 6, 8–15.

    Article  PubMed  Google Scholar 

  73. Belle, S. H., Berk, P. D., Chapman, W. H., Christian, N. J., Courcoulas, A. P., Dakin, G. F., Flum, D. R., Horlick, M., King, W. C., McCloskey, C. A., Mitchell, J. E., Patterson, E. J., Pender, J. R., Steffen, K. J., Thirlby, R. C., Wolfe, B. M., & Yanovski, S. Z. (2013). Baseline characteristics of participants in the longitudinal assessment of bariatric surgery-2 (LABS-2) study. Surg Obes Relat Dis, 9, 926–935.

    Article  PubMed  PubMed Central  Google Scholar 

  74. Dreyer, N., Dixon, J. B., Okerson, T., Finkelstein, E. A., & Globe, D. (2013). Prevalence of comorbidities and baseline characteristics of LAP-BAND AP® subjects in the helping evaluate reduction in obesity (HERO) study. PLoS ONE, 8, e78971.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  75. Allison, P. D. (2002). Missing data. Sage Publications, Inc.

    Book  Google Scholar 

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Funding

This research was supported by Les Fonds du recherche du Québec: Santé: FRQS-257821 (A.M.M.) and the Richard and Edith Strass Foundation doctoral Scholarship (A.M.M.). N.E.M receives research support from the Canadian Institutes of Health Research, none of which was used to collect these data. L.K.T received funding for the Newfoundland and Labrador (N.L.) Bariatric Surgery Cohort Study from a N.L. Centre Applied Health Research Project Grant and the Health Care Foundation.

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Authors and Affiliations

  1. School of Physical and Occupational Therapy, Faculty of Medicine and Health Sciences, McGill University, 3654 Promenade Sir William Osler, Montreal, QC, H3G 1Y5, Canada

    Ana M. Moga & Nancy E. Mayo

  2. Centre for Outcomes Research and Evaluation, Division of Clinical Epidemiology, McGill University Health Center-Research Institute, Research Institute, 5252 de Maisonneuve, Montreal, QC, H4A 3S5, Canada

    Ana M. Moga & Nancy E. Mayo

  3. School of Pharmacy and Faculty of Medicine, Memorial, University of Newfoundland, 300 Prince Philip Drive, St. John’s, NF, A1B 3V6, Canada

    Laurie K. Twells

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Contributions

AMM and NEM conceptualized and designed the study, analyzed the data, wrote the manuscript, and reviewed and revised the manuscript. LKT provided the dataset, reviewed/edited, and commented on drafts of the manuscript. AMM and NEM is the guarantor of this work and, as such, have full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. All authors approved the final manuscript as submitted.

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Correspondence to Ana M. Moga.

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While no ethics was required to conduct this secondary data analysis study, ethics approval was obtained for the study data source—the Newfoundland and Labrador Longitudinal Bariatric Surgery Cohort Study—from the provincial Health Research Ethics Authority (#11.101).

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All participants provided written informed consent to participate in the original study [29].

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Moga, A.M., Twells, L.K. & Mayo, N.E. The prototype of a preference-based index of weight-related quality of life: demonstrating the possibilities. Qual Life Res 31, 3061–3075 (2022). https://doi.org/10.1007/s11136-022-03156-5

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