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Self-report versus objective measurement of weight history: implications for pre-treatment weight gain

  • Phoutdavone Phimphasone-Brady
  • Lindsey M. Dorflinger
  • Christopher Ruser
  • Anastasia Bullock
  • Kathryn M. Godfrey
  • Dominica Hernandez
  • Kathryn M. Min
  • Robin M. MashebEmail author
Brief Report

Abstract

There is increasing concern that patients gain considerable weight in the year prior to treatment and that outcomes may not reflect true treatment losses. To date, we know little about the accuracy of self-reported weight change prior to treatment. To investigate weight gain, and accuracy of self-reported recent weight history, Veterans (n = 126) reported their current weight and one-year weight history prior to entering treatment. These weights were compared to electronic medical record weights. Patients gained an average of 2.03 kg (4.5 lbs) in the year prior to treatment. Self-report and objective weight assessments showed high concurrent validity at the group level. However, standard deviations for the absolute difference scores revealed high individual variability in historical reporting, suggesting that weight loss seeking patients are inaccurate reporters of recent weight. Our findings have implications for the emerging area of pre-treatment weight gain research and processes for clinical care.

Keywords

Obesity Pre-treatment weight change Weight recall Veterans Weight loss predictors 

Notes

Acknowledgements

We thank Alison G. Marsh for assistance in preparing this manuscript for submission. We also thank Jodi Holtrop, PhD, and Bethany Kwan, PhD, for their review on previous versions of this manuscript.

Funding

This project was supported in part by VA’s Health Services Research and Development (HSR&D) Center of Innovation (COIN), Pain Research, Informatics, Multi-morbidities, and Education (PRIME) Center, West Haven, CT (CIN 13-407). The content of this research is solely the responsibility of the authors and does not necessarily represent the official views of the Department of Veterans Affairs or Veterans Health Administration.

Compliance with ethical standard

Conflict of interest

Phoutdavone Phimphasone-Brady, Lindsey M. Dorflinger, Christopher Ruser, Anastasia Bullock, Kathryn M. Godfrey, Dominica Hernandez, Kathryn M. Min, and Robin M. Masheb do not have any conflicts of interest or disclosures to declare.

Human and animal rights and Informed consent

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. Participants completed this study as part of standard clinical care. Written consent was waived with implied consent, and the study was approved by the IRB at VA Connecticut Healthcare System.

References

  1. Allison, K. C., Lundgren, J. D., O’Reardon, J. P., Martino, N. S., Sarwer, D. B., Wadden, T. A., et al. (2008). The Night Eating Questionnaire (NEQ): Psychometric properties of a measure of severity of the Night Eating Syndrome. Eating Behaviors, 9, 62–72.  https://doi.org/10.1016/j.eatbeh.2007.03.007 CrossRefGoogle Scholar
  2. Bland, J. M., & Altman, D. G. (1986). Statistical methods for assessing agreement between two methods of clinical measurement. Lancet, 1, 307–310.CrossRefGoogle Scholar
  3. Breland, J. Y., Phibbs, C. S., Hoggatt, K. J., Washington, D. L., Lee, J., Haskell, S., et al. (2017). The obesity epidemic in the Veterans Health Administration: Prevalence among key populations of women and men veterans. Journal of General Internal Medicine, 32, 11–17.  https://doi.org/10.1007/s11606-016-3962-1 CrossRefGoogle Scholar
  4. Bush, K., Kivlahan, D. R., McDonell, M. B., Fihn, S. D., & Bradley, K. A. (1998). The AUDIT alcohol consumption questions (AUDIT-C): An effective brief screening test for problem drinking. Ambulatory Care Quality Improvement Project (ACQUIP). Alcohol Use Disorders Identification Test. Archives of Internal Medicine, 158, 1789–1795.CrossRefGoogle Scholar
  5. Call, C. C., Piers, A. D., Wyckoff, E. P., Lowe, M. R., Forman, E. M., & Butryn, M. L. (2018). The relationship of weight suppression to treatment outcomes during behavioral weight loss. Journal of Behavioral Medicine, 1–11.Google Scholar
  6. Cameron, R. P., & Gusman, D. (2003). The primary care PTSD screen (PC-PTSD): Development and operating characteristics. Primary Care Psychiatry, 9, 9–14.Google Scholar
  7. Clark, H. L., Heileson, J., DeMay, J., & Cole, R. E. (2017). Misperceptions of weight status in military men and women. Military Medicine, 182, e1792–e1798.  https://doi.org/10.7205/MILMED-D-16-00202 CrossRefGoogle Scholar
  8. Cleeland, C. S., & Ryan, K. M. (1994). Pain assessment: Global use of the Brief Pain Inventory. Annals Academy of Medicine Singapore, 23, 129–138.Google Scholar
  9. Dahn, J. R., Fitzpatrick, S. L., Llabre, M. M., Apterbach, G. S., Helms, R. L., Cugnetto, M. L., et al. (2011). Weight management for veterans: Examining change in weight before and after MOVE! Obesity, 19, 977–981.CrossRefGoogle Scholar
  10. Doll, H. A., & Fairburn, C. G. (1998). Heightened accuracy of self-reported weight in bulimia nervosa: A useful cognitive “distortion”. International Journal of Eating Disorders, 24, 267–273.CrossRefGoogle Scholar
  11. Earthman, C. P. (2015). Body composition tools for assessment of adult malnutrition at the bedside: A tutorial on research considerations and clinical applications. J Parenteral and Enteral Nutrition, 39, 787–822.  https://doi.org/10.1177/0148607115595227 CrossRefGoogle Scholar
  12. Grilo, C. M., Henderson, K. E., Bell, R. L., & Crosby, R. D. (2013). Eating disorder examination-questionnaire factor structure and construct validity in bariatric surgery candidates. Obesity Surgery, 23, 657–662.  https://doi.org/10.1007/s11695-012-0840-8 CrossRefGoogle Scholar
  13. Harvey-Berino, J., Krukowski, R. A., Buzzell, P., Ogden, D., Skelly, J., & West, D. S. (2011). The accuracy of weight reported in a web-based obesity treatment program. Telemedicine Journal of E-health, 17, 696–699.  https://doi.org/10.1089/tmj.2011.0032 CrossRefGoogle Scholar
  14. Ivezaj, V., Kalebjian, R., Grilo, C. M., & Barnes, R. D. (2014). Comparing weight gain in the year prior to treatment for overweight and obese patients with and without binge eating disorder in primary care. Journal of Psychosomatic Research, 77, 151–154.  https://doi.org/10.1016/j.jpsychores.2014.05.006 CrossRefGoogle Scholar
  15. Jerome, G. J., Dalcin, A., Coughlin, J. W., Fitzpatrick, S., Wang, N. Y., Durkin, N., et al. (2014). Longitudinal accuracy of web-based self-reported weights: Results from the Hopkins POWER Trial. Journal of Medical Internet Research, 16, e173.  https://doi.org/10.2196/jmir.3332 CrossRefGoogle Scholar
  16. Kahwati, L. C., Lance, T. X., Jones, K. R., & Kinsinger, L. S. (2011). RE-AIM evaluation of the Veterans Health Administration’s MOVE! Weight management program. Translational Behavioral Medicine, 1, 551–560.CrossRefGoogle Scholar
  17. Kerrigan, S. G., Schaumberg, K., Kase, C., Gaspar, M., Forman, E., & Butryn, M. L. (2016). From last supper to self-initiated weight loss: Pretreatment weight change may be more important than previously thought. Obesity, 24, 843–849.CrossRefGoogle Scholar
  18. Kinney, E. L. (1988). Accuracy of self-reported weight in a non-normal population. Clinical and Investigative Medicine, 11, 347–350.Google Scholar
  19. Kovalchik, S. (2009). Validity of adult lifetime self-reported body weight. Public Health Nutrition, 12, 1072–1077.  https://doi.org/10.1017/S1368980008003728 CrossRefGoogle Scholar
  20. Krebs, E. E., Lorenz, K. A., Bair, M. J., Damush, T. M., Wu, J., Sutherland, J. M., et al. (2009). Development and initial validation of the PEG, a three-item scale assessing pain intensity and interference. Journal of General Internal Medicine, 24, 733–738.  https://doi.org/10.1007/s11606-009-0981-1 CrossRefGoogle Scholar
  21. Kroenke, K., Spitzer, R. L., & Williams, J. B. (2003). The Patient Health Questionnaire-2: Validity of a two-item depression screener. Medical Care, 41, 1284–1292.  https://doi.org/10.1097/01.MLR.0000093487.78664.3C CrossRefGoogle Scholar
  22. Kyulo, N. L., Knutsen, S. F., Tonstad, S., Fraser, G. E., & Singh, P. N. (2012). Validation of recall of body weight over a 26-year period in cohort members of the Adventist Health Study 2. Annals of Epidemiology, 22, 744–746.  https://doi.org/10.1016/j.annepidem.2012.06.106 CrossRefGoogle Scholar
  23. Littman, A. J., Boyko, E. J., McDonell, M. B., & Fihn, S. D. (2012). Evaluation of a weight management program for veterans. Preventing Chronic Disease, 9, E99.Google Scholar
  24. Masheb, R. M., & Grilo, C. M. (2001). Accuracy of self-reported weight in patients with binge eating disorder. International Journal of Eating Disorders, 29, 29–36.CrossRefGoogle Scholar
  25. Masheb, R. M., & Grilo, C. M. (2006). Emotional overeating and its associations with eating disorder psychopathology among overweight patients with binge eating disorder. International Journal of Eating Disorders, 39, 141–146.  https://doi.org/10.1002/eat.20221 CrossRefGoogle Scholar
  26. Masheb, R. M., White, M. A., & Grilo, C. M. (2013). Substantial weight gains are common prior to treatment-seeking in obese patients with binge eating disorder. Comprehensive Psychiatry, 54, 880–884.  https://doi.org/10.1016/j.comppsych.2013.03.017 CrossRefGoogle Scholar
  27. Morin, C. M., Belleville, G., Belanger, L., & Ivers, H. (2011). The Insomnia Severity Index: Psychometric indicators to detect insomnia cases and evaluate treatment response. Sleep, 34, 601–608.CrossRefGoogle Scholar
  28. Tronieri, J. S., Wadden, T. A., Alfaris, N., Chao, A. M., Alamuddin, N., Berkowitz, R. I., et al. (2018). “Last supper” predicts greater weight loss early in obesity treatment, but not enough to offset initial gains. Frontiers in Psychology.  https://doi.org/10.3389/fpsyg.2018.01335 Google Scholar
  29. West, D. S., Harvey-Berino, J., Krukowski, R. A., & Skelly, J. M. (2011). Pretreatment weight change is associated with obesity treatment outcomes. Obesity, 19, 1791–1795.CrossRefGoogle Scholar
  30. White, M. A., Masheb, R. M., & Grilo, C. M. (2010). Accuracy of self-reported weight and height in binge eating disorder: misreport is not related to psychological factors. Obesity (Silver Spring), 18, 1266–1269.  https://doi.org/10.1038/oby.2009.347 CrossRefGoogle Scholar

Copyright information

© This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2019

Authors and Affiliations

  • Phoutdavone Phimphasone-Brady
    • 1
  • Lindsey M. Dorflinger
    • 2
  • Christopher Ruser
    • 3
    • 4
  • Anastasia Bullock
    • 5
  • Kathryn M. Godfrey
    • 6
  • Dominica Hernandez
    • 7
  • Kathryn M. Min
    • 3
  • Robin M. Masheb
    • 3
    • 8
    Email author
  1. 1.Department of Family Medicine, Adult and Child Consortium for Health Outcomes Research and Delivery Science (ACCORDS), Center on AgingUniversity of Colorado School of MedicineAuroraUSA
  2. 2.Behavioral HealthWalter Reed National Military Medical CenterBethesdaUSA
  3. 3.Veterans Initiative for Eating and Weight (The VIEW)VA Connecticut Healthcare System, PRIME Center/11ACSLGWest HavenUSA
  4. 4.Internal MedicineYale School of MedicineNew HavenUSA
  5. 5.Division of Behavioral MedicineCooper University HospitalCamdenUSA
  6. 6.Center for Weight Eating and Lifestyle ScienceDrexel UniversityPhiladelphiaUSA
  7. 7.Institute for Collaboration on Health, Intervention, and PolicyUniversity of ConnecticutStorrsUSA
  8. 8.Department of PsychiatryYale School of MedicineNew HavenUSA

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