The Effect of a Food Addiction Explanation Model for Weight Control and Obesity on Weight Stigma.

Nutrients. 2020;12(2)
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Research suggests that weight stigma is increasing and is associated with multiple negative health and psychological outcomes. Public health messaging presently emphasises weight gain as lack of personal control of diet and exercise, which contributes to the stigma and ignores the myriad of uncontrollable factors that also contribute to weight gain. One component of weight gain is food addiction, in which food is shown to be as rewarding to the brain as other addictive substances. It is currently unclear whether an explanation of the food addiction model (FAM) will affect weight stigma, and there is a need to understand the factors that contribute and reinforce weight stigmatisation. The aim of this study is to assess whether providing a FAM explanation for weight gain would impact expressions of weight stigma. Two experiments were done in which college students were randomly allocated to read a simulated article that focused on either food addiction or diet and exercise as contributing factors to obesity. The participants then completed a survey assessing their perception of obesity. This study found the FAM explanation resulted in a significantly lower weight stigma. Based on these results, the authors suggest current public health messaging that attributes obesity to lack of personal control needs to be changed as it exacerbates weight stigma.

Abstract

There is increasing scientific and public support for the notion that some foods may be addictive, and that poor weight control and obesity may, for some people, stem from having a food addiction. However, it remains unclear how a food addiction model (FAM) explanation for obesity and weight control will affect weight stigma. In two experiments (N = 530 and N = 690), we tested the effect of a food addiction explanation for obesity and weight control on weight stigma. In Experiment 1, participants who received a FAM explanation for weight control and obesity reported lower weight stigma scores (e.g., less dislike of 'fat people', and lower personal willpower blame) than those receiving an explanation emphasizing diet and exercise (F(4,525) = 7.675, p = 0.006; and F(4,525) = 5.393, p = 0.021, respectively). In Experiment 2, there was a significant group difference for the dislike of 'fat people' stigma measure (F(5,684) = 5.157, p = 0.006), but not for personal willpower weight stigma (F(5,684) = 0.217, p = 0.81). Participants receiving the diet and exercise explanation had greater dislike of 'fat people' than those in the FAM explanation and control group (p values < 0.05), with no difference between the FAM and control groups (p >0.05). The FAM explanation for weight control and obesity did not increase weight stigma and resulted in lower stigma than the diet and exercise explanation that attributes obesity to personal control. The results highlight the importance of health messaging about the causes of obesity and the need for communications that do not exacerbate weight stigma.

Lifestyle medicine

Fundamental Clinical Imbalances : Neurological ; Immune and inflammation
Patient Centred Factors : Mediators/Food addiction
Environmental Inputs : Diet ; Psychosocial influences
Personal Lifestyle Factors : Nutrition ; Psychological
Functional Laboratory Testing : Not applicable

Methodological quality

Jadad score : Not applicable
Allocation concealment : Not applicable

Metadata

Nutrition Evidence keywords : Public health ; Media ; Weight discrimination ; Weight stigma