Literature DB >> 25261809

Implicit bias about weight and weight loss treatment outcomes.

Robert A Carels1, Nova G Hinman2, Debra A Hoffmann2, Jacob M Burmeister2, Jessica E Borushok2, Jenna M Marx2, Lisham Ashrafioun2.   

Abstract

OBJECTIVES: The goal of the current study was to examine the impact of a weight loss intervention on implicit bias toward weight, as well as the relationship among implicit bias, weight loss behaviors, and weight loss outcomes. Additionally, of interest was the relationship among these variables when implicit weight bias was measured with a novel assessment that portrays individuals who are thin and obese engaged in both stereotypical and nonstereotypical health-related behaviors.
METHODS: Implicit weight bias (stereotype consistent and stereotype inconsistent), binge eating, self-monitoring, and body weight were assessed among weight loss participants at baseline and post-treatment (N=44) participating in two weight loss programs.
RESULTS: Stereotype consistent bias significantly decreased from baseline to post-treatment. Greater baseline stereotype consistent bias was associated with lower binge eating and greater self-monitoring. Greater post-treatment stereotype consistent bias was associated with greater percent weight loss. Stereotype inconsistent bias did not change from baseline to post-treatment and was generally unrelated to outcomes.
CONCLUSION: Weight loss treatment may reduce implicit bias toward overweight individuals among weight loss participants. Higher post-treatment stereotype consistent bias was associated with a higher percent weight loss, possibly suggesting that losing weight may serve to maintain implicit weight bias. Alternatively, great implicit weight bias may identify individuals motivated to make changes necessary for weight loss.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Implicit associations test; Implicit weight bias; Obesity; Weight loss treatment

Mesh:

Year:  2014        PMID: 25261809      PMCID: PMC4254058          DOI: 10.1016/j.eatbeh.2014.08.026

Source DB:  PubMed          Journal:  Eat Behav        ISSN: 1471-0153


  25 in total

Review 1.  Evaluation of dietary assessment instruments against doubly labeled water, a biomarker of habitual energy intake.

Authors:  J Trabulsi; D A Schoeller
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2.  Understanding and using the implicit association test: I. An improved scoring algorithm.

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3.  Stereotypical portrayals of obesity and the expression of implicit weight bias.

Authors:  Nova G Hinman; Jacob M Burmeister; Allison E Kiefner; Jessica Borushok; Robert A Carels
Journal:  Body Image       Date:  2014-10-17

4.  The influence of one's own body weight on implicit and explicit anti-fat bias.

Authors:  Marlene B Schwartz; Lenny R Vartanian; Brian A Nosek; Kelly D Brownell
Journal:  Obesity (Silver Spring)       Date:  2006-03       Impact factor: 5.002

Review 5.  A review of psychosocial pre-treatment predictors of weight control.

Authors:  P J Teixeira; S B Going; L B Sardinha; T G Lohman
Journal:  Obes Rev       Date:  2005-02       Impact factor: 9.213

6.  The assessment of binge eating severity among obese persons.

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Journal:  Addict Behav       Date:  1982       Impact factor: 3.913

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Authors:  A Myers; J C Rosen
Journal:  Int J Obes Relat Metab Disord       Date:  1999-03

8.  The Diabetes Prevention Program (DPP): description of lifestyle intervention.

Authors: 
Journal:  Diabetes Care       Date:  2002-12       Impact factor: 19.112

9.  Stigmatized students: age, sex, and ethnicity effects in the stigmatization of obesity.

Authors:  Janet D Latner; Albert J Stunkard; G Terence Wilson
Journal:  Obes Res       Date:  2005-07

10.  The influence of the stigma of obesity on overweight individuals.

Authors:  S S Wang; K D Brownell; T A Wadden
Journal:  Int J Obes Relat Metab Disord       Date:  2004-10
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  2 in total

Review 1.  Health Consequences of Weight Stigma: Implications for Obesity Prevention and Treatment.

Authors:  Rebecca Puhl; Young Suh
Journal:  Curr Obes Rep       Date:  2015-06

2.  Overcoming Weight Bias in the Management of Patients With Diabetes and Obesity.

Authors:  Rebecca M Puhl; Sean M Phelan; Joseph Nadglowski; Theodore K Kyle
Journal:  Clin Diabetes       Date:  2016-01
  2 in total

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