Skip to main content
Log in

Weight Bias and Weight Loss Treatment Outcomes in Treatment-Seeking Adults

  • Rapid Communication
  • Published:
Annals of Behavioral Medicine

Abstract

Background

Few studies have explored the relationship between weight bias and weight loss treatment outcomes.

Purpose

This investigation examined the relationship between implicit and explicit weight bias and (a) program attrition, (b) weight loss, (c) self-monitoring adherence, (d) daily exercise levels and overall caloric expenditure, (e) daily caloric intake, and (f) daily caloric deficit among overweight/obese treatment-seeking adults.

Methods

Forty-six overweight/obese adults (body mass index ≥ 27 kg/m2) participating in an 18-week, stepped-care, behavioral weight loss program completed implicit and explicit measures of weight bias. Participants were instructed to self-monitor and electronically report daily energy intake, exercise, and energy expenditure.

Results

Greater weight bias was associated with inconsistent self-monitoring, greater caloric intake, lower energy expenditure and exercise, creation of a smaller caloric deficit, higher program attrition, as well as less weight loss during the self-help phase of the stepped-care treatment.

Conclusions

Weight bias may interfere with overweight/obese treatment-seeking adults' ability to achieve optimal health.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

References

  1. Puhl RM, Heuer CA. The stigma of obesity: A review and update. Obesity. 2009;17:1-24.

    Article  Google Scholar 

  2. Puhl RM, Andreyeva T, Brownell KD. Perceptions of weight discrimination: Prevalence and comparison to race and gender discrimination in America. Int J Obes. 2008;32:992-1000.

    Article  CAS  Google Scholar 

  3. Ashmore JA, Friedman KE, Reichmann SK, Musante GJ. Weight-based stigmatization, psychological distress, & binge eating behavior among obese treatment-seeking adults. Eat Behav. 2008;9:203-209.

    Article  PubMed  Google Scholar 

  4. Wang SS, Brownell KD, Wadden TA. The influence of the stigma of obesity on overweight individuals. Int J Obes. 2004;28:1333-1337.

    Article  CAS  Google Scholar 

  5. Rudman LA, Feinburg J, Fairchild K. Minority members' implicit attitudes: Automatic ingroup bias as a function of group status. Social Cogn. 2002;20:294-320.

    Article  Google Scholar 

  6. Dovidio JF, Kawakami K, Gaertner SL. Implicit and explicit prejudice and interracial interaction. J Pers Soc Psychol. 2002;82:62-68.

    Article  PubMed  Google Scholar 

  7. Wilson TD, Lindsey S, Schooler TY. A model of dual attitudes. Psychol Rev. 2000;107:101-126.

    Article  PubMed  CAS  Google Scholar 

  8. Wansink B, Sobal J. Mindless eating: The 200 daily food decisions we overlook. Environ Behav. 2007;39:106-122.

    Article  Google Scholar 

  9. Puhl RM, Schwartz M, Brownell KD. Impact of perceived consensus on stereotypes about obese people: A new approach for reducing bias. Health Psychol. 2005;24:517-525.

    Article  PubMed  Google Scholar 

  10. Poehlman TA, Uhlmann EL, Greenwald AG. Understanding and using the implicit association test: III. Meta-analysis of predictive validity. J Pers Soc Psychol. 2009;in press.

  11. Aarts H, Custers R, Holland RW. The nonconscious cessation of goal pursuits: When goals and negative affect are coactivated. J Pers Soc Psychol. 2007;92:165-178.

    Article  PubMed  Google Scholar 

  12. Brownell KD. The LEARN Program for weight management. 10th ed. Dallas: American Health; 2004.

    Google Scholar 

  13. Carels RA, Konrad KK, Young KM, et al. Taking control of your personal eating and exercise environment: A weight maintenance program. Eat Behav. 2008;9:228-237.

    Article  PubMed  Google Scholar 

  14. Teachman BA, Brownell KD. Implicit anti-fat bias among health professionals: Is anyone immune? Int J Obes. 2001;25:1525-1531.

    Article  CAS  Google Scholar 

  15. Pambianco G, Wing R, Robertson R. Accuracy and reliability of the Caltrac accelerometer for estimating energy expenditure. Med Sci Sports Exerc. 1999;33:858-862.

    Google Scholar 

  16. Carels RA, Young KM, Coit C, Clayton AM, Spencer A, Hobbs M. Can following the caloric restriction recommendations from the Dietary Guidelines for Americans help individuals lose weight? Eat Behav. 2008;9:328-335.

    Article  PubMed  Google Scholar 

  17. Teixeira P, Going SB, Sardinha LB, Lohman TG. A review of psychosocial pretreatment predictors of weight control. Eat Behav. 2005;6:43-45.

    Article  CAS  Google Scholar 

  18. Grover VP, Keel PK, Mitchell JP. Gender differences in implicit weight identity. Int J Eat Disord. 2003;34:125-135.

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Robert A. Carels Ph.D..

About this article

Cite this article

Carels, R.A., Young, K.M., Wott, C.B. et al. Weight Bias and Weight Loss Treatment Outcomes in Treatment-Seeking Adults. ann. behav. med. 37, 350–355 (2009). https://doi.org/10.1007/s12160-009-9109-4

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12160-009-9109-4

Keywords

Navigation