Search

Prejudice towards obese people is widespread and has negative consequences for individuals with obesity. The present study covertly examined whether participants spontaneously generate different written transcript content (i.e., more negative stereotypes) when presented with a picture of an obese person or a normal-weight person. Two pictures of young women were computer generated to appear identical in all features except for body shape, which was either obese or normal-weight. Forty-nine women blind to the nature of the study were randomized to receive either the obese or normal-weight picture and asked to write a free-response description of a typical "day in the life" of the woman depicted. Independent coding of the transcripts revealed more frequent negative stereotypes and more negative valence generated by participants asked to describe a typical day of the obese target. These differences are consistent with the prevalent negative stereotypes of obese individuals.

Objective: To compare the strength of weight bias to other common biases, and to develop a psychometrically sound measure to assess and compare bias against different targets., Subjects: A total of 368 university students (75.4% women, 47.6% white, mean age: 21.53 years, mean body mass index (BMI): 23.01 kg/m(2))., Measurements: A measure was developed to assess bias against different targets. Three versions of the universal measure of bias (UMB) were developed and validated, each focusing on either 'fat,' 'gay' or 'Muslim' individuals. These were administered to participants, along with two established scales of bias against each target and a measure of socially desirable response style., Results: The UMB demonstrated good internal consistency, appropriate item-total and inter-item correlations, and a clear factor structure suggesting components of Negative Judgment, Distance, Attraction and Equal Rights. Construct validity was indicated by strong correlations between established measures of bias and each corresponding version of the new scale. In contrast to previously established measures of weight bias, the new measure was independent of socially desirable response style. Although homosexual orientation was associated with lower gay bias (P<0.05), greater BMI was not associated with any decrease in weight bias. When comparing the relative strength of bias against different targets, weight bias was significantly greater than bias against both gays and Muslims (P<0.001)., Conclusion: Weight bias is significantly stronger than other major targets of bias. This is the first study to develop a universal measure to assess bias against different targets. The excellent psychometric properties of this measure will permit further investigation into the relative severity of different types of prejudice over time and across samples. The present findings suggest that the pervasive discrimination against obese individuals may be more socially acceptable than discrimination against other groups.